Profile image of Abbas Khosravi

A/Prof. Abbas Khosravi

STAFF PROFILE

Position

Associate Professor of Systems Modelling And Soft Computing

Faculty

Inst Intelligent Sys Res & Inn

Department

Inst Intelligent Sys Res & Inn

Campus

Geelong Waurn Ponds Campus

Qualifications

Doctor of Philosophy, Deakin University, 2011

Contact

Career highlights

2010-present: Research Fellow, Centre for Intelligent Systems Research, Deakin University, Australia
2007-2010: PhD, Deakin University, Australia
2006-2007: Research Fellow, University of Girona, Spain

Research interests

- Neural networks
- Fuzzy logic systems (type 1 and 2)
- Computational intelligence
- Evolutionary optimisation
- Uncertainty quantification
- Application of AI-based methods for decision-making

Abbas is a reviewer for the following Scholarly Journals:
- IEEE Transactions on Neural Networks
- Neural Networks
- IEEE Transaction on Power Systems

Affiliations

Alfred Deakin Postdoc Research Fellow

Awards

Vice-Chancellor's Award for Outstanding Contribution to Research: Early Career Researcher, Deakin University, 2012

AlfredAlfred Deakin Postdoctoral Research Fellowship, Deakin University, 2011

Deakin University International Research Scholarship (DUIRS), PhD career, 2007 

Research fellowship from University of Girona for Research on Classification of Electrical Sags, 2006-2007.

Publications

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2022

Remodelling State-Space Prediction with Deep Neural Networks for Probabilistic Load Forecasting

P Arora, A Khosravi, B Panigrahi, P Suganthan

(2022), Vol. 6, pp. 628-637, IEEE Transactions on Emerging Topics in Computational Intelligence, Piscataway, N.J., C1

journal article

Automated Deep CNN-LSTM Architecture Design for Solar Irradiance Forecasting

S Jalali, S Ahmadian, A Kavousi-Fard, A Khosravi, S Nahavandi

(2022), Vol. 52, pp. 54-65, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Piscataway, N.J., C1

journal article

Uncertainty-Aware Management of Smart Grids Using Cloud-Based LSTM-Prediction Interval

S Tajalli, A Kavousi-Fard, M Mardaneh, A Khosravi, R Razavi-Far

(2022), pp. 1-14, IEEE Transactions on Cybernetics, Piscataway, N.J., C1

journal article

MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

Z Senousy, M Abdelsamea, M Gaber, M Abdar, R Acharya, A Khosravi, S Nahavandi

(2022), pp. 1-12, IEEE Transactions on Biomedical Engineering, Piscataway, N.J., C1

journal article

Application of artificial intelligence in wearable devices: Opportunities and challenges

D Nahavandi, R Alizadehsani, A Khosravi, U Acharya

(2022), Vol. 213, pp. 1-19, Computer Methods and Programs in Biomedicine, Amsterdam, The Netherlands, C1

journal article

New Hybrid Deep Neural Architectural Search-Based Ensemble Reinforcement Learning Strategy for Wind Power Forecasting

S Jalali, G Osorio, S Ahmadian, M Lotfi, V Campos, M Shafie-Khah, A Khosravi, J Catalao

(2022), Vol. 58, pp. 15-27, IEEE Transactions on Industry Applications, New York, NY, C1

journal article

Detection of epileptic seizures on EEG signals using ANFIS classifier, autoencoders and fuzzy entropies

A Shoeibi, N Ghassemi, M Khodatars, P Moridian, R Alizadehsani, A Zare, A Khosravi, A Subasi, U Rajendra Acharya, J Gorriz

(2022), Vol. 73, pp. 1-20, Biomedical Signal Processing and Control, Amsterdam, The Netherlands, C1

journal article

Factors associated with mortality in hospitalized cardiovascular disease patients infected with COVID-19

R Alizadehsani, R Eskandarian, M Behjati, M Zahmatkesh, M Roshanzamir, N Izadi, A Shoeibi, A Haddadi, F Khozeimeh, F Sani, Z Sani, Z Roshanzamir, A Khosravi, S Nahavandi, N Sarrafzadegan, S Islam

(2022), pp. 1-11, Immunity, Inflammation and Disease, London, Eng., C1

journal article

Objective evaluation of deep uncertainty predictions for COVID-19 detection

H Asgharnezhad, A Shamsi, R Alizadehsani, A Khosravi, S Nahavandi, Z Sani, D Srinivasan, S Islam

(2022), Vol. 12, pp. 1-11, Scientific Reports, London, Eng., C1

journal article

Aleatory-aware deep uncertainty quantification for transfer learning

H Kabir, S Khanam, F Khozeimeh, A Khosravi, S Mondal, S Nahavandi, U Acharya

(2022), Vol. 143, pp. 1-14, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

Predicting Cognitive Load of an Individual With Knowledge Gained From Others

Syed Salaken, Imali Hettiarachchi, Afsana Munia, Md Hasan, Abbas Khosravi, Shady Mohamed, Ashikur Rahman

(2022), Vol. 8, pp. 4-15, IEEE Systems Man and Cybernetics Magazine, Piscataway, N.J., C1

journal article

The Right Stuff in the Right Place

A Rajendran, P Kebria, N Mohajer, A Khosravi

(2022), Vol. 8, pp. 39-44, IEEE Systems Man and Cybernetics Magazine, Piscataway, NJ, C1

journal article

Adaptive Motion Cueing Algorithm using Optimized Fuzzy Control System for Motion Simulators

H Asadi, T Bellmann, S Mohamed, C Lim, A Khosravi, S Nahavandi

(2022), pp. 1-13, IEEE Transactions on Intelligent Vehicles, Piscataway, N.J., C1

journal article

Uncertainty-aware skin cancer detection: The element of doubt

P Tabarisaadi, A Khosravi, S Nahavandi

(2022), Vol. 144, pp. 1-8, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

Comparison of the prevalence of 21 GLIM phenotypic and etiologic criteria combinations and association with 30-day outcomes in people with cancer: A retrospective observational study

N Kiss, B Steer, M de van der Schueren, J Loeliger, R Alizadehsani, L Edbrooke, I Deftereos, E Laing, A Khosravi

(2022), Vol. 41, pp. 1102-1111, Clinical Nutrition, Amsterdam, The Netherlands, C1

journal article

X-ray image based COVID-19 detection using evolutionary deep learning approach

S Jalali, M Ahmadian, S Ahmadian, R Hedjam, A Khosravi, S Nahavandi

(2022), Vol. 201, pp. 1-23, Expert Systems with Applications, Amsterdam, The Netherlands, C1

journal article

Probabilistic Wind Power Forecasting Using Optimised Deep Auto-Regressive Recurrent Neural Networks

P Arora, S Jalali, S Ahmadian, B Panigrahi, P Suganthan, A Khosravi

(2022), pp. 1-11, IEEE Transactions on Industrial Informatics, Piscataway, N.J., C1

journal article

An advanced short-term wind power forecasting framework based on the optimized deep neural network models

S Jalali, S Ahmadian, M Khodayar, A Khosravi, M Shafie-khah, S Nahavandi, J Catalão

(2022), Vol. 141, pp. 1-13, International Journal of Electrical Power and Energy Systems, Amsterdam, The Netherlands, C1

journal article

Hercules: Deep Hierarchical Attentive Multi-Level Fusion Model with Uncertainty Quantification for Medical Image Classification

M Abdar, M Fahami, L Rundo, P Radeva, A Frangi, U Acharya, A Khosravi, H Lam, A Jung, S Nahavandi

(2022), pp. 1-13, IEEE Transactions on Industrial Informatics, Piscataway, N.J., C1

journal article

Deep Representation Learning using Multilayer Perceptron and Stacked Autoencoder for Recommendation Systems

A Yengikand, M Meghdadi, S Ahmadian, S Jalali, A Khosravi, S Nahavandi

(2022), pp. 2485-2491, IEEE 2021: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Melbourne, Vic, E1

conference

Abstract TMP8: The Feasibility Of Machine Learning In Predicting Intracranial Aneurysm Rupture Risk

Runlin Yang, Parham Kebria, Yifan Ren, Jonathan Hall, Foo Michelle, Kevin Zhou, Julian Maingard, Hong Kok, Abbas Khosravi, Hamed Asadi

(2022), Vol. 53, pp. 1-1, Stroke, Philadelphia, Pa., E1

conference
2021

Partial Adversarial Training for Neural Network-Based Uncertainty Quantification

H Kabir, A Khosravi, S Nahavandi, A Kavousi-Fard

(2021), Vol. 5, pp. 595-606, IEEE Transactions on Emerging Topics in Computational Intelligence, C1

journal article

A comprehensive comparison of handcrafted features and convolutional autoencoders for epileptic seizures detection in EEG signals

A Shoeibi, N Ghassemi, R Alizadehsani, M Rouhani, H Hosseini-Nejad, A Khosravi, M Panahiazar, S Nahavandi

(2021), Vol. 163, pp. 113788-113788, Expert Systems with Applications, Oxford, Eng., C1

journal article

Optimal uncertainty-guided neural network training

H Kabir, A Khosravi, A Kavousi-Fard, S Nahavandi, D Srinivasan

(2021), Vol. 99, pp. 1-13, Applied Soft Computing, Amsterdam, The Netherlands, C1

journal article

Coronary artery disease detection using artificial intelligence techniques: a survey of trends, geographical differences and diagnostic features 1991-2020

R Alizadehsani, A Khosravi, M Roshanzamir, M Abdar, N Sarrafzadegan, D Shafie, F Khozeimeh, A Shoeibi, S Nahavandi, M Panahiazar, A Bishara, R Beygui, R Puri, S Kapadia, R Tan, U Acharya

(2021), Vol. 128, pp. 1-16, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

Risk factors prediction, clinical outcomes, and mortality in COVID-19 patients

R Alizadehsani, Z Alizadeh Sani, M Behjati, Z Roshanzamir, S Hussain, N Abedini, F Hasanzadeh, A Khosravi, A Shoeibi, M Roshanzamir, P Moradnejad, S Nahavandi, F Khozeimeh, A Zare, M Panahiazar, U Acharya, S Shariful Islam

(2021), Vol. 93, pp. 2307-2320, Journal of medical virology, Chichester, Eng., C1

journal article

Mapping routine measles vaccination in low- and middle-income countries

A Sbarra, S Rolfe, J Nguyen, L Earl, N Galles, A Marks, K Abbas, M Abbasi-Kangevari, H Abbastabar, F Abd-Allah, A Abdelalim, M Abdollahi, K Abegaz, H Abiy, H Abolhassani, L Abreu, M Abrigo, A Abushouk, M Accrombessi, M Adabi, O Adebayo, V Adekanmbi, O Adetokunboh, D Adham, M Afarideh, M Aghaali, T Ahmad, R Ahmadi, K Ahmadi, M Ahmed, F Alanezi, T Alanzi, J Alcalde-Rabanal, B Alemnew, B Ali, M Ali, M Alijanzadeh, C Alinia, R Alipoor, V Alipour, H Alizade, S Aljunid, A Almasi, A Almasi-Hashiani, H Al-Mekhlafi, K Altirkawi, B Amare, S Amini, M Amini-Rarani, F Amiri, A Amit, D Amugsi, R Ancuceanu, C Andrei, M Anjomshoa, F Ansari, A Ansari-Moghaddam, M Ansha, C Antonio, E Antriyandarti, D Anvari, J Arabloo, M Arab-Zozani, O Aremu, B Armoon, K Aryal, A Arzani, M Asadi-Aliabadi, S Asgari, Z Atafar, M Ausloos, N Awoke, B Quintanilla, M Ayanore, Y Aynalem, A Azadmehr, S Azari, E Babaee, A Badawi, A Badiye, M Bahrami, A Baig, A Bakhtiari, S Balakrishnan, M Banach, P Banik, A Barac, Z Baradaran-Seyed, A Baraki, S Basu, M Bayati, Y Bayou, N Bedi, M Behzadifar, M Bell, D Berbada, K Berhe, S Bhattarai, Z Bhutta, A Bijani, Sheikh Shariful Islam, Riaz Uddin

(2021), Vol. 589, pp. 415-419, Nature, New York, N.Y., C1

journal article

Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

A Koohestani, M Abdar, S Hussain, A Khosravi, D Nahavandi, S Nahavandi, R Alizadehsani

(2021), Vol. 46, pp. 3567-3580, Arabian Journal for Science and Engineering, C1

journal article

Cardiovascular diseases risk prediction in patients with diabetes: Posthoc analysis from a matched case-control study in Bangladesh

S Islam, S Ahmed, R Uddin, M Siddiqui, M Malekahmadi, A Al Mamun, R Alizadehsani, A Khosravi, S Nahavandi

(2021), Vol. 20, pp. 417-425, Journal of Diabetes and Metabolic Disorders, Berlin, Germany, C1

journal article

An uncertainty-aware transfer learning-based framework for covid-19 diagnosis

A Shamsi, H Asgharnezhad, S Jokandan, A Khosravi, P Kebria, D Nahavandi, S Nahavandi, D Srinivasan

(2021), Vol. 32, pp. 1408-1417, IEEE transactions on neural networks and learning systems, Piscataway, N.J., C1

journal article

Neural network-based interval forecasting of construction material prices

Mostafa Mir, H Kabir, Farnad Nasirzadeh, Abbas Khosravi

(2021), Vol. 39, Journal of Building Engineering, Oxford, Eng., C1

journal article

Objective Tinnitus Measurement via fNIRS and Machine Learning

M Shoushtarian, R Alizadehsani, A Khosravi, N Acevedo, C McKay, S Nahavandi, J Fallon

(2021), Vol. 74, pp. 26-29, Hearing Journal, Philadelphia, Pa., C1

journal article

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

James Bennett, Rod Jackson, Jennifer Baker, Cyrus Cooper, Allan Hill, Sheikh Islam, Kenneth James, Alireza Khosravi, Jeongseon Kim, Jelena Kos, Jeonghee Lee, Scott McLean, Viswanathan Mohan, Mahmudur Rahman, Sanjib Sharma, Jonathan Shaw, Boyd Swinburn, Eng Tan, Anne Taylor, Thi Tran, Senthil Vasan, Alisha Wade, Xiangjun Wang, Julianne Williams, Xiaoguang Yang

(2021), Vol. 10, pp. 1-35, eLife, Cambridge, Eng., C1

journal article

Towards novel deep neuroevolution models: chaotic levy grasshopper optimization for short-term wind speed forecasting

S Jalali, S Ahmadian, M Khodayar, A Khosravi, V Ghasemi, M Shafie-khah, S Nahavandi, J Catalão

(2021), pp. 1-25, Engineering with Computers, Berlin, Germany, C1

journal article

Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020)

R Alizadehsani, M Roshanzamir, S Hussain, A Khosravi, A Koohestani, M Zangooei, M Abdar, A Beykikhoshk, A Shoeibi, A Zare, M Panahiazar, S Nahavandi, D Srinivasan, A Atiya, U Acharya

(2021), pp. 1-42, Annals of Operations Research, Berlin, Germany, C1

journal article

A Novel Evolutionary-based Deep Convolutional Neural Network Model for Intelligent Load Forecasting

S Jalali, S Ahmadian, A Khosravi, M Shafie-khah, S Nahavandi, J Catalao

(2021), Vol. 17, pp. 8243-8253, IEEE Transactions on Industrial Informatics, Piscataway, NJ, C1

journal article

Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images

D Sharifrazi, R Alizadehsani, M Roshanzamir, J Joloudari, A Shoeibi, M Jafari, S Hussain, Z Sani, F Hasanzadeh, F Khozeimeh, A Khosravi, S Nahavandi, M Panahiazar, A Zare, S Shariful Islam, U Acharya

(2021), Vol. 68, pp. 1-14, Biomedical signal processing and control, Amsterdam, The Netherlands, C1

journal article

Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learning

M Abdar, M Samami, S Dehghani Mahmoodabad, T Doan, B Mazoure, R Hashemifesharaki, L Liu, A Khosravi, U Acharya, V Makarenkov, S Nahavandi

(2021), Vol. 135, Computers in Biology and Medicine, United States, C1

journal article

A review of uncertainty quantification in deep learning: Techniques, applications and challenges

M Abdar, F Pourpanah, S Hussain, D Rezazadegan, L Liu, M Ghavamzadeh, P Fieguth, X Cao, A Khosravi, U Acharya, V Makarenkov, S Nahavandi

(2021), Vol. 76, pp. 243-297, Information Fusion, Amsterdam, The Netherlands, C1

journal article

Epileptic seizures detection using deep learning techniques: A review

A Shoeibi, M Khodatars, N Ghassemi, M Jafari, P Moridian, R Alizadehsani, M Panahiazar, F Khozeimeh, A Zare, H Hosseini-Nejad, A Khosravi, A Atiya, D Aminshahidi, S Hussain, M Rouhani, S Nahavandi, U Acharya

(2021), Vol. 18, pp. 1-33, International Journal of Environmental Research and Public Health, Basel, Switzerland, C1

journal article

Uncertainty-aware decisions in cloud computing: Foundations and future directions

H Dipu Kabir, A Khosravi, S Mondal, M Rahman, S Nahavandi, R Buyya

(2021), Vol. 54, pp. 1-30, ACM Computing Surveys, New York, N.Y., C1

journal article

ANN-based LUBE model for interval prediction of compressive strength of concrete

M Akbari, H Kabir, A Khosravi, F Nasirzadeh

(2021), pp. 1-11, Iranian journal of science and technology - transactions of civil engineering, Cham, Switzerland, C1

journal article

Automated detection of shockable ECG signals: A review

M Hammad, R Kandala, A Abdelatey, M Abdar, M Zomorodi‐Moghadam, R Tan, U Acharya, J Pławiak, R Tadeusiewicz, V Makarenkov, N Sarrafzadegan, A Khosravi, S Nahavandi, A EL-Latif, P Pławiak

(2021), Vol. 571, pp. 580-604, Information Sciences, Amsterdam, The Netherlands, C1

journal article

NN-based Prediction Interval for Nonlinear Processes Controller

M Hosen, A Khosravi, H Kabir, M Johnstone, D Creighton, S Nahavandi, P Shi

(2021), Vol. 19, pp. 3239-3252, International Journal of Control, Automation and Systems, Berlin, Germany, C1

journal article

Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

N Ayoobi, D Sharifrazi, R Alizadehsani, A Shoeibi, J Gorriz, H Moosaei, A Khosravi, S Nahavandi, A Gholamzadeh Chofreh, F Goni, J Klemeš, A Mosavi

(2021), Vol. 27, pp. 1-15, Results in Physics, Amsterdam, The Netherlands, C1

journal article

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

M Abdar, M Fahami, S Chakrabarti, A Khosravi, P Pławiak, U Acharya, R Tadeusiewicz, S Nahavandi

(2021), Vol. 577, pp. 353-378, Information Sciences, Amsterdam, The Netherlands, C1

journal article

An oppositional-Cauchy based GSK evolutionary algorithm with a novel deep ensemble reinforcement learning strategy for COVID-19 diagnosis

S Jalali, M Ahmadian, S Ahmadian, A Khosravi, M Alazab, S Nahavandi

(2021), Vol. 111, pp. 1-17, Applied Soft Computing, Amsterdam, The Netherlands, C1

journal article

Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients

F Khozeimeh, D Sharifrazi, N Izadi, J Joloudari, A Shoeibi, R Alizadehsani, J Gorriz, S Hussain, Z Sani, H Moosaei, A Khosravi, S Nahavandi, S Islam

(2021), Vol. 11, pp. 1-18, Scientific Reports, Berlin, Germany, C1

journal article

A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUs

M Beheshti Roui, M Zomorodi, M Sarvelayati, M Abdar, H Noori, P Pławiak, R Tadeusiewicz, X Zhou, A Khosravi, S Nahavandi, U Acharya

(2021), Vol. 231, pp. 1-17, Knowledge-Based Systems, Amsterdam, The Netherlands, C1

journal article

Effective Management of Energy Internet in Renewable Hybrid Microgrids: A Secured Data Driven Resilient Architecture

M Mohammadi, A Kavousi-Fard, M Dabbaghjamanesh, A Farughian, A Khosravi

(2021), Vol. 18, pp. 1896-1904, IEEE Transactions on Industrial Informatics, Piscataway, N.J., C1

journal article

Stable Neural Adaptive Filters for Teleoperations with Uncertain Delays

P Kebria, A Khosravi, S Nahavandi

(2021), Vol. 6, pp. 8663-8670, IEEE Robotics and Automation Letters, Piscataway, N.J., C1

journal article

Deep learning for neuroimaging-based diagnosis and rehabilitation of Autism Spectrum Disorder: A review

M Khodatars, A Shoeibi, D Sadeghi, N Ghaasemi, M Jafari, P Moridian, A Khadem, R Alizadehsani, A Zare, Y Kong, A Khosravi, S Nahavandi, S Hussain, U Acharya, M Berk

(2021), Vol. 139, pp. 1-25, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

A novel deep neuroevolution-based image classification method to diagnose coronavirus disease (COVID-19)

S Ahmadian, S Jalali, S Islam, A Khosravi, E Fazli, S Nahavandi

(2021), Vol. 139, pp. 1-14, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

Uncertainty-aware semi-supervised method using large unlabeled and limited labeled COVID-19 data

R Alizadehsani, D Sharifrazi, N Izadi, J Joloudari, A Shoeibi, J Gorriz, S Hussain, J Arco, Z Sani, F Khozeimeh, A Khosravi, S Nahavandi, S Islam, U Acharya

(2021), Vol. 17, pp. 1-24, ACM Transactions on Multimedia Computing Communications and Applications, New York, N.Y., C1

journal article

Comparison of 21 glim phenotypic and etiologic criteria combinations and association with 30-day outcomes in people with cancer

N Kiss, B Steer, M de van der Schueren, J Loeliger, R Alizadehsani, L Edbrooke, I Deftereos, E Laing, A Khosravi

(2021), Vol. 46, pp. S554-S555, Clinical Nutrition ESPEN, Amsterdam, The Netherlands, C1

journal article

Machine learning models to predict adverse outcomes using glim combinations with and without muscle mass in people with cancer

N Kiss, B Steer, M de van der Schueren, J Loeliger, R Alizadehsani, L Edbrooke, I Deftereos, E Laing, A Khosravi

(2021), Vol. 46, pp. S566-S567, Clinical Nutrition ESPEN, Amsterdam, The Netherlands, C1

journal article

A Fast and Reliable Approach for Driving Style Customization in Autonomous Vehicles

Mohammadreza Chalak Qazani, Houshyar Asadi, Chee Lim, Shady Mohamed, Darius Nahavandi, Abbas Khosravi, Saeid Nahavandi, Navneet Bhasin

(2021), SMC 2021 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

Using Type-2 Fuzzy in Decision-Making for Wind Potential Assessment in Iran

A Aryanfar, A Gholami, M Pourgholi, M Zandi, A Khosravi

(2021), pp. 1-5, IWEC 2021 : Proceedings of the 7th Iran Wind Energy Conference, Shahrood, Iran, E1

conference

A new ensemble reinforcement learning strategy for solar irradiance forecasting using deep optimized convolutional neural network models

S Jalali, M Khodayar, S Ahmadian, M Shafie-Khah, A Khosravi, S Islam, S Nahavandi, J Catalao

(2021), pp. 1-6, SEST 2021 : Proceedings of the 4th International Conference on Smart Energy Systems and Technologies, Vaasa, Finland, E1

conference

Occupational health-related risk factors in mining industry

F Nasirzadeh, N Soltanmohammadlou, S Sadeghi, A Khosravi

(2021), Vol. 2409, pp. 1-6, ICCAEE 2020 : Proceedings of the 2020 3rd International Conference on Civil, Architectural and Environmental Engineering, Christchurch, N.Z., E1

conference

Monitoring labour fatigue using physiological measurements

F Nasirzadeh, M Mir, M Cherati, A Khosravi, D Carmichael

(2021), Vol. 2409, pp. 020015-1-020015-2, ICCAEE 2020 : Proceedings of the American Institute of Physics on Civil, Architectural and Environmental Engineering 2020 Conference, Virtual, E1

conference

A New Uncertainty-aware Deep Neuroevolution Model for Quantifying Tidal Prediction

S Jalali, M Khodayar, S Ahmadian, M Noman, A Khosravi, S Islam, F Wang, J Catalao

(2021), pp. 1-6, IAS 2021 : Proceedings of 2021 IEEE Industry Applications Society Annual Meeting, Vancouver, Canada, E1

conference

Human Activity Recognition from Knee Angle Using Machine Learning Techniques

F Nazari, D Nahavandi, N Mohajer, A Khosravi

(2021), pp. 295-300, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

Integration of Deep Sparse Autoencoder and Particle Swarm Optimization to Develop a Recommender System

M Ahmadian, M Ahmadi, S Ahmadian, S Jalali, A Khosravi, S Nahavandi

(2021), pp. 2524-2530, SMC 2021 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification

F Albardi, H Kabir, M Bhuiyan, P Kebria, A Khosravi, S Nahavandi

(2021), pp. 2767-2774, SMC 2021 : Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, Melbourne, Vic., E1

conference

Challenges of Internet of Medical Things for Electronic Healthcare

K Kakhi, R Alizadehsani, A Khosravi, S Nahavandi, S Islam

(2021), pp. 19-24, • CANDO-EPE 2021 : Proceedings of the IEEE 4th International Obuda on Electrical and Power Engineering Conference and Workshop, Budapest, Hungary, E1

conference

Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals

A Rajendran, P Kebria, N Mohajer, A Khosravi, S Nahavandi

(2021), pp. 1-6, SSCI : 2021 : Proceedings of the 2021 IEEE Symposium Series on Computational Intelligence, Orlando, Fla., E1

conference

An Advanced Generative Deep Learning Framework for Probabilistic Spatio-temporal Wind Power Forecasting

S Jalali, M Khodayar, A Khosravi, G Osório, S Nahavandi, J Catalão

(2021), pp. 1-6, EEEIC/I&CPS Europe 2021 : Proceedings of the 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe, Bari, Italy, E1

conference
2020

Autonomous Robot Navigation Using Moth-Flame-Based Neuroevolution

Seyed Jalali, Rachid Hedjam, Abbas Khosravi, Ali Heidari, Seyedali Mirjalili, Saeid Nahavandi

(2020), pp. 67-83, Evolutionary Machine Learning Techniques: Algorithms and Applications, Berlin, Germany, B1

book chapter

Robust Adaptive Control Scheme for Teleoperation Systems with Delay and Uncertainties

P Kebria, A Khosravi, S Nahavandi, P Shi, R Alizadehsani

(2020), Vol. 50, pp. 3243-3253, IEEE Transactions on Cybernetics, C1

journal article

Model uncertainty quantification for diagnosis of each main coronary artery stenosis

R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, M Zangooei, A Khosravi, S Nahavandi, R Tan, U Acharya

(2020), Vol. 24, pp. 10149-10160, Soft Computing, Berlin, Germany, C1

journal article

Deep imitation learning for autonomous vehicles based on convolutional neural networks

P Mohsenzadeh Kebria, A Khosravi, S Salaken, S Nahavandi

(2020), Vol. 7, pp. 82-95, IEEE/CAA Journal of Automatica Sinica, Piscataway, N.J., C1

journal article

A weight perturbation-based regularisation technique for convolutional neural networks and the application in medical imaging

Seyedamin Khatami, Asef Nazari, Abbas Khosravi, Chee Lim, Saeid Nahavandi

(2020), Vol. 149, pp. 1-8, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

Developing a computationally effective interval Type-2 TSK fuzzy logic controller

Abel Hailemichael, Syed Salaken, Ali Karimoddini, Abdollah Homaifar, Abbas Khosravi, Saeid Nahavandi

(2020), Vol. 38, pp. 1915-1928, Journal of intelligent & fuzzy systems, Amsterdam, The Netherlands, C1

journal article

Physical fatigue detection using entropy analysis of heart rate signals

F Nasirzadeh, M Mir, S Hussain, M Darbandy, A Khosravi, S Nahavandi, B Aisbett

(2020), Vol. 12, pp. 1-17, Sustainability, Basel, Switzerland, C1

journal article

Automated detection of presymptomatic conditions in spinocerebellar ataxia type 2 using monte carlo dropout and deep neural network techniques with electrooculogram signals

C Stoean, R Stoean, M Atencia, M Abdar, L Velázquez-Pérez, A Khosravi, S Nahavandi, U Rajendra Acharya, G Joya

(2020), Vol. 20, pp. 1-16, Sensors, Basel, Switzerland, C1-1

journal article

ANN-based prediction intervals to forecast labour productivity

F Nasirzadeh, H Kabir, M Akbari, A Khosravi, S Nahavandi, D Carmichael

(2020), Vol. 27, pp. 2335-2351, Engineering, construction and architectural management, Bingley, Eng., C1

journal article

Neuroevolution-based autonomous robot navigation: a comparative study

S Jalali, S Ahmadian, A Khosravi, S Mirjalili, M Mahmoudi, S Nahavandi

(2020), Vol. 62, pp. 35-43, Cognitive systems research, Amsterdam, The Netherlands, C1

journal article

Hybrid artificial neural network-genetic algorithm-based technique to optimize a steady-state gas-to-liquids plant

V Khezri, E Yasari, M Panahi, A Khosravi

(2020), Vol. 59, pp. 8674-8687, Industrial and engineering chemistry research, Washington, D.C., C1

journal article

Hybrid genetic-discretized algorithm to handle data uncertainty in diagnosing stenosis of coronary arteries

R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, S Nahavandi, P Plawiak, R Tan, U Acharya

(2020), pp. 1-17, Expert Systems, London, Eng., C1

journal article

Labour productivity in Australian building construction projects: a roadmap for improvement

F Nasirzadeh, Mozhdeh Rostamnezhad Cherati, D Carmichael, A Khosravi, B Aisbett

(2020), pp. 1-10, International journal of construction management, Abingdon, Eng., C1

journal article

Adaptive type-2 fuzzy neural-network control for teleoperation systems with delay and uncertainties

Parham Kebria, Abbas Khosravi, Saeid Nahavandi, Dongrui Wu, Fernando Bello

(2020), Vol. 28, pp. 2543-2554, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

journal article

Multi-criteria photovoltaic potential assessment using fuzzy logic in decision-making: A case study of Iran

A Aryanfar, A Gholami, M Pourgholi, S Shahroozi, M Zandi, A Khosravi

(2020), Vol. 42, pp. 1-20, Sustainable Energy Technologies and Assessments, Amsterdam, The Netherlands, C1

journal article

A Survey of Computational Intelligence Techniques for Wind Power Uncertainty Quantification in Smart Grids

H Quan, A Khosravi, D Yang, D Srinivasan

(2020), Vol. 31, pp. 4582-4599, IEEE Transactions on Neural Networks and Learning Systems, Piscataway, N.J., C1

journal article

Objective measurement of tinnitus using functional near-infrared spectroscopy and machine learning

M Shoushtarian, R Alizadehsani, A Khosravi, N Acevedo, C McKay, S Nahavandi, J Fallon

(2020), Vol. 15, pp. 1-20, PLoS ONE, San Francisco, Calif., C1

journal article

Sensitivity analysis of economic variables using neuro-fuzzy approach

E Lotfi, S Babrzadeh, A Khosravi

(2020), Vol. 27, pp. 1352-1359, Scientia Iranica, Tehran, Iran, C1

journal article

A new approach to detect the physical fatigue utilizing heart rate signals

Mohammad Darbandy, Mozhdeh Rostamnezhad, Sadiq Hussain, Abbas Khosravi, Saeid Nahavandi, Zahra Sani

(2020), Vol. 9, pp. 23-27, Research in cardiovascular medicine, Philadelphia, Pa., C1

journal article

Adaptive Neural Network-based Perception and Awareness of Teleoperation Systems in Human-Machine Interactions

P Mohenzadeh Kebria, D Nahavandi, A Khosravi, S Nahavandi, F Bello

(2020), pp. 1-6, ICHMS 2020 : Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, Online from Rome, E1

conference

Uncertainty Quantification Neural Network from Similarity and Sensitivity

H Dipu Kabir, A Khosravi, D Nahavandi, S Nahavandi

(2020), pp. 1-8, IEEE IJCNN 2020: Proceedings of the International Joint Conference on Neural Networks, Glasgow, Eng., E1

conference

Neural Network Control of Teleoperation Systems with Delay and Uncertainties based on Multilayer Perceptron Estimations

P Kebria, A Khosravi, S Nahavandi

(2020), pp. 1-7, IJCNN 2020 Proceedings of the International Joint Conference on Neural Networks, Glasgow, Eng., E1

conference

Neural Network Training Using a Biogeography-Based Learning Strategy

S Mousavirad, S Jalali, S Ahmadian, A Khosravi, G Schaefer, S Nahavandi

(2020), Vol. 1333, pp. 147-155, ICONIP 2020: Proceedings Part V, on the 27th International Conference on Neural Information Processing, Bangkok, Thailand, E1

conference

Autonomous navigation via deep imitation and transfer learning: a comparative study

Parham Kebria, A Khosravi, Ibrahim Hossain, N Mohajer, H Kabir, S Jalali, D Nahavandi, S Salaken, S Nahavandi, A Lagrandcourt, N Bhasin

(2020), pp. 2907-2912, SMC 2020 : Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, Toronto, Canada, E1

conference

Bayesian randomly wired neural network with variational inference for image recognition

P Tabarisaadi, A Khosravi, S Nahavandi

(2020), Vol. 12534 LNCS, pp. 197-207, ICONIP 2020 : Proceedings of the 27th International Conference on Neural Information Processing, Online from Bangkok, Thailand, E1

conference

A Deep Bayesian Ensembling Framework for COVID-19 Detection using Chest CT Images

P Tabarisaadi, A Khosravi, S Nahavandi

(2020), Vol. 2020-October, pp. 1584-1589, IEEE SMC 2020: Proceedings of the IEEE SMC Systems, Man and Cybernetics Conference, Online, E1

conference

Robust Collaboration of a Haptically-Enabled Double-Slave Teleoperation System under Random Communication Delays

P Kebria, D Nahavandi, S Jafar Jalali, A Khosravi, S Nahavandi, F Bello, C Ginn

(2020), Vol. 2020-October, pp. 2919-2924, IEEE 2020: Proceedings of the International Conference on Transactions on Systems, Man, and Cybernetics: Systems, Toronto, Canada, E1

conference
2019

Seeded transfer learning for regression problems with deep learning

S Salaken, A Khosravi, T Nguyen, S Nahavandi

(2019), Vol. 115, pp. 565-577, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

Control methods for internet-based teleoperation systems: A review

P Kebria, H Abdi, M Dalvand, A Khosravi, S Nahavandi

(2019), Vol. 49, pp. 32-46, IEEE transactions on human-machine systems, Piscataway, N.J., C1

journal article

A predictive KH-based model to enhance the performance of industrial electric arc furnaces

A Kavousi Fard, W Su, J Tao, A Al-Sumaiti, H Samet, A Khosravi

(2019), Vol. 66, pp. 7976-7985, IEEE transactions on industrial electronics, Piscataway, N.J., C1

journal article

Batch mode query by committee for motor imagery-based BCI

Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi

(2019), Vol. 27, pp. 13-21, IEEE transactions on neural systems and rehabilitation engineering, Piscataway, N.J., C1

journal article

From car sickness to autonomous car sickness: a review

J Iskander Istafanos, M Attia, K Saleh, D Nahavandi, A Abobakr, S Mohamed, H Asadi, A Khosravi, C Lim, M Hossny

(2019), Vol. 62, pp. 716-726, Transportation research part F: traffic psychology and behaviour, Amsterdam, The Netherlands, C1

journal article

Comparing the performance of different types of distributed fuzzy-based traffic signal controllers

S Araghi, A Khosravi, D Creighton

(2019), Vol. 36, pp. 6155-6166, Journal of intelligent and fuzzy systems, Amsterdam, Netherlands, C1-1

journal article

Machine learning-based coronary artery disease diagnosis: a comprehensive review

R Alizadehsani, M Abdar, M Roshanzamir, A Khosravi, P Kebria, F Khozeimeh, S Nahavandi, N Sarrafzadegan, U Acharya

(2019), Vol. 111, pp. 1-14, Computers in biology and medicine, Amsterdam, The Netherlands, C1

journal article

A knowledge discovery in motion sickness: a comprehensive literature review

A Koohestani, D Nahavandi, H Asadi, P Kebria, A Khosravi, R Alizadehsani, S Nahavandi

(2019), Vol. 7, pp. 85755-85770, IEEE access, Piscataway, N.J., C1

journal article

Integration of ensemble and evolutionary machine learning algorithms for monitoring diver behavior using physiological signals

A Koohestani, Moloud Abdar, Abbas Khosravi, Saeid Nahavandi, Mahereh Koohestani

(2019), Vol. 7, pp. 98971-98992, IEEE access, Piscataway, N.J., C1

journal article

A database for using machine learning and data mining techniques for coronary artery disease diagnosis

R Alizadehsani, M Roshanzamir, M Abdar, A Beykikhoshk, A Khosravi, M Panahiazar, A Koohestani, F Khozeimeh, S Nahavandi, N Sarrafzadegan

(2019), Vol. 6, pp. 227-, Scientific data, England, C1

journal article

Estimation of prediction interval in ANN-based multi-GCMs downscaling of hydro-climatologic parameters

V Nourani, N Jabbarian Paknezhad, E Sharghi, A Khosravi

(2019), Vol. 579, pp. 1-18, Journal of hydrology, Amsterdam, The Netherlands, C1

journal article

Drivers performance evaluation using physiological measurement in a driving simulator

A Koohestani, P Kebria, A Khosravi, S Nahavandi

(2019), pp. 1-6, DICTA 2018 : Proceedings of the 2018 International Conference on Digital Image Computing: Techniques and Applications, Canberra, A.C.T., E1

conference

Evaluating architecture impacts on deep imitation learning performance for autonomous driving

Parham Kebria, Roohallah Alizadehsani, Syed Salaken, Ibrahim Hossain, Abbas Khosravi, Dipu Kabir, Afsaneh Koohestani, Houshyar Asadi, Saeid Nahavandi, Edward Tunsel, Mehrdad Saif

(2019), pp. 865-870, ICIT 2019 : Proceedings of the 2019 20th IEEE International Conference on Industrial Technology, Melbourne, Vic., E1

conference

A cloud bidding framework for deadline constrained jobs

H Dipu Kabir, A Sabyasachi, A Khosravi, M Hosen, S Nahavandi, R Buyya

(2019), pp. 765-772, ICIT 2019 : Proceedings of the 2019 IEEE International Conference on Industrial Technology, Melbourne, Vic., E1

conference

Probability density for amazon spot instance price

H Dipu Kabir, A Khosravi, M Hosen, S Nahavandi, R Buyya

(2019), pp. 887-892, ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Victoria, E1

conference

Parsimonious evolutionary-based model development for detecting artery disease

S Jalali, A Khosravi, R Alizadehsani, S Salaken, P Kebria, R Puri, S Nahavandi

(2019), pp. 800-805, ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Victoria), E1

conference

Drivers awareness evaluation using physiological measurement in a driving simulator

A Koohestani, P Kebria, A Khosravi, S Nahavandi

(2019), pp. 859-864, ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Victoria, E1

conference

Robust adaptive synchronisation of a single-master multi-slave teleoperation system over delayed communication

P Kebria, A Khosravi, S Nahavandi, F Bello, S Krishnan

(2019), pp. 193-198, ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Victoria, E1

conference

Robust adaptive control of internet-based bilateral teleoperation systems with time-varying delay and model uncertainties

P Kebria, A Khosravi, S Nahavandi, D Watters, G Guest, P Shi

(2019), pp. 187-192, ICIT 2019 : Proceedings of the 2019 IEEE International Conference on Industrial Technology, Melbourne, Vic., E1

conference

Experimental comparison study on joint and cartesian space control schemes for a teleoperation system under time-varying delay

P Kebria, A Khosravi, S Nahavandi, A Homaifar, M Saif

(2019), pp. 108-113, ICIT 2019 : Proceedings of the IEEE International Conference on Industrial Technology, Melbourne, Victoria, E1

conference

Type-2 fuzzy neural network synchronization of teleoperation systems with delay and uncertainties

P Kebria, A Khosravi, S Jalali, S Nahavandi

(2019), Vol. 2019-August, pp. 1625-1630, CASE 2019 : IEEE 15th International Conference on Automation Science and Engineering (CASE) : August 22-26, 2019, Vancouver, BC, Canada, Vancouver, B.C., E1

conference

Adaptive type-2 fuzzy control scheme for robust teleoperation under time-varying delay and uncertainties

P Kebria, A Khosravi, S Jalali, S Nahavandi

(2019), pp. 1631-1636, CASE 2019 : Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, Vancouver, British Columbia, E1

conference

A GA-based pruning fully connected network for tuned connections in deep networks

A Khatami, P Kebria, S Jalali, A Khosravi, A Nazari, M Shamszadeh, T Nguyen, S Nahavandi

(2019), pp. 3492-3497, IEEE SMC 2019 : Proceedings of the 2019 IEEE International Conference on Systems, Man, and Cybernetics, Bari, Italy, E1

conference

A model predictive control-based motion cueing algorithm using an optimized nonlinear scaling for driving simulators

H Asadi, A Mohammadi, S Mohamed, M Qazani, C Lim, A Khosravi, S Nahavandi

(2019), pp. 1245-1250, IEEE SMC 2019 : Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, E1

conference

Generalized noise patterns for (N+1)/N-factor non-linear down-sampling

H Kabir, A Khosravi, S Nahavandi

(2019), Vol. 2019-October, pp. 2089-2096, SMC 2019 : Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, E1

conference

Optimal autonomous driving through deep imitation learning and neuroevolution

S Jalali, P Kebria, A Khosravi, K Saleh, D Nahavandi, S Nahavandi

(2019), pp. 1215-1220, SMC 2019 : Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, E1

conference

An efficient neuroevolution approach for heart disease detection

S Jalali, M Karimi, A Khosravi, S Nahavandi

(2019), Vol. 2019-October, pp. 3771-3776, SMC 2019 : Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, E1

conference

Autonomous robot navigation system using the evolutionary multi-verse optimizer algorithm

S Jalali, A Khosravi, P Kebria, R Hedjam, S Nahavandi

(2019), Vol. 2019-October, pp. 1221-1226, SMC 2019 : Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, Bari, Italy, E1

conference

Evolving artificial neural networks using butterfly optimization algorithm for data classification

S Jalali, S Ahmadian, P Kebria, A Khosravi, C Lim, S Nahavandi

(2019), Vol. 11953, pp. 596-607, ICONIP 2019 : Proceedings of the 26th International Conference on Neural Information Processing 2019, Sydney, N.S.W., E1

conference

Performance comparison of type-1 and type-2 neuro-fuzzy controllers for a flexible joint manipulator

A Jokandan, A Khosravi, S Nahavandi

(2019), pp. 621-632, ICONIP 2019 : Proceedings of the 26th International Conference on Neural Information Processing, Sydney, N.S.W., E1

conference

Designing an H∞ fuzzy LMI-based consensus protocol for nonlinear multi-agent systems

P Tabarisaadi, A Khosravi, S Nahavandi

(2019), Vol. 2019-December, pp. 320-325, CloudCom 2019 : Proceedings of the 11th IEEE International Conference on Cloud Computing Technology and Science, Sydney, New South Wales, E1

conference

Probability density computation neural network for time series data

H Kabir, P Kebria, A Khosravi, S Nahavandi

(2019), Vol. 2020 - January, pp. 341-346, CloudCom 2019 : Proceedings of the 11th CloudCom IEEE International Conference on Cloud Computing Technology and Science, Sydney, New South Wales, E1-1

conference
2018

Optimal parameters of an ELM-based interval type 2 fuzzy logic system: a hybrid learning algorithm

S Hassan, M Khanesar, J Jaafar, A Khosravi

(2018), Vol. 29, pp. 1001-1014, Neural computing and applications, Berlin, Germany, C1

journal article

Parallel deep solutions for image retrieval from imbalanced medical imaging archives

A Khatami, M Babaie, A Khosravi, H Tizhoosh, S Nahavandi

(2018), Vol. 63, pp. 197-205, Applied soft computing, Amsterdam, The Netherlands, C1

journal article

A sequential search-space shrinking using CNN transfer learning and a Radon projection pool for medical image retrieval

A Khatami, M Babaie, H Tizhoosh, A Khosravi, T Nguyen, S Nahavandi

(2018), Vol. 100, pp. 224-233, Expert systems with applications, Amsterdam, The Netherlands, C1-1

journal article

Multiclass informative instance transfer learning framework for motor imagery-based brain-computer interface

Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi

(2018), Vol. 2018, pp. 1-12, Computational intelligence and neuroscience, Cairo, Egypt, C1

journal article

Smooth path planning using biclothoid fillets for high speed CNC machines

A Shahzadeh, A Khosravi, T Robinette, S Nahavandi

(2018), Vol. 132, pp. 36-49, International journal of machine tools and manufacture, Amsterdam, The Netherlands, C1

journal article

Non-invasive detection of coronary artery disease in high-risk patients based on the stenosis prediction of separate coronary arteries

Roohallah Alizadehsani, Mohammad Hosseini, Abbas Khosravi, Fahime Khozeimeh, Mohamad Roshanzamir, Nizal Sarrafzadegan, Saeid Nahavandi

(2018), Vol. 162, pp. 119-127, Computer methods and programs in biomedicine, Amsterdam, The Netherlands, C1

journal article

Neural network-based uncertainty quantification: a survey of methodologies and applications

H Kabir, A Khosravi, M Hosen, S Nahavandi

(2018), Vol. 6, pp. 36218-36234, IEEE access, Piscataway, N.J., C1

journal article

A radon-based convolutional neural network for medical image retrieval

A Khatami, M Babaie, H Tizhoosh, Asef Nazari, A Khosravi, S Nahavandi

(2018), Vol. 31, pp. 910-915, International journal of engineering, Tehran, Iran, C1

journal article

Weighted autocorrelation based prediction Interval optimization for wind power generation

H Kabir, M Hosen, A Khosravi, S Nahavandi

(2018), pp. 1-6, IJCNN 2018: Proceedings of the International Joint Conference on Neural Networks, Rio De Janeiro, Brazil, E1

conference

Partial adversarial training for prediction interval

H Kabir, A Khosravi, M Hosen, S Nahavandi

(2018), Vol. 2018-July, pp. 1-6, IJCNN 2018 : Proceedings of the International Joint Conference on Neural Networks, Rio, Brasil, E1

conference

Calibration time reduction for motor imagery-based BCI using batch mode active learning

I Hossain, A Khosravi, I Hettiarachchi, S Nahavandi

(2018), pp. 1-8, IJCNN : Proceedings of the 2018 International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, E1

conference

Percentile range around the mean of center distance based informative transfer for motor imagery brain-computer interface

I Hossain, A Khosravi, I Hettiarachchi, S Nahavandi

(2018), pp. 1-6, IJCNN 2018 : Proceedings of the 2018 International Joint Conference on Neural Networks, Rio de Janeiro, Brazil, E1

conference

Deep imitation learning: the impact of depth on policy performance

P Kebria, A Khosravi, S Salaken, I Hossain, H Kabir, A Koohestani, R Alizadehsani, S Nahavandi

(2018), Vol. 11301, pp. 172-181, ICONIP 2018 : Proceedings of the 25th International Conference on Neural Information Processing, Siem Reap, Cambodia, E1

conference

Neural network adaptive control of teleoperation systems with uncertainties and time-varying delay

P Kebria, A Khosravi, S Nahavandi, Z Najdovski, S Hilton

(2018), pp. 252-257, CASE 2018 : Proceedings of the 2018 IEEE 14th International Conference on Automation Science and Engineering, Munich, Germany, E1

conference

Calibration time reduction using subjective features selection based transfer learning for Multiclass BCI

I Hossain, A Khosravi, I Hettiarachchi, S Nahavandi

(2018), pp. 491-498, SMC 2018 : The making of a human-centered cyber world : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1

conference

Semi-supervised transfer learning with genetic algorithm tuned transformation and novel label transfer mechanism

S Salaken, A Khosravi, T Nguyen, S Nahavandi

(2018), pp. 906-911, SMC 2018 : Proceedings of the 2018 IEEE International Conference on Systems, Man, and Cybernetics, Miyazaki, Japan, E1

conference
2017

A new PSO-based approach to fire flame detection using K-Medoids clustering

A Khatami, S Mirghasemi, A Khosravi, C Lim, S Nahavandi

(2017), Vol. 68, pp. 69-80, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

Influence of meta-heuristic optimization on the performance of adaptive interval type2-fuzzy traffic signal controllers

S Araghi, A Khosravi, D Creighton, S Nahavandi

(2017), Vol. 71, pp. 493-503, Expert Systems with Applications, C1

journal article

An expert system for selecting wart treatment method

F Khozeimeh, R Alizadehsani, M Roshanzamir, A Khosravi, P Layegh, S Nahavandi

(2017), Vol. 81, pp. 167-175, Computers in Biology and Medicine, C1

journal article

Comparative analysis of three approaches of antecedent part generation for an IT2 TSK FLS

S Hassan, M Khanesar, J Jaafar, A Khosravi

(2017), Vol. 51, pp. 130-144, Applied soft computing journal, Amsterdam, The Netherlands, C1

journal article

Medical image analysis using wavelet transform and deep belief networks

S Khatami, A Khosravi, T Nguyen, C Lim, S Nahavandi

(2017), Vol. 86, pp. 190-198, Expert systems with applications, Amsterdam, The Netherlands, C1-1

journal article

Reactive power compensation in electric arc furnaces using prediction intervals

A Kavousi-Fard, A Khosravi, S Nahavandi

(2017), Vol. 64, pp. 5295-5304, IEEE transactions on industrial electronics, Piscataway, N.J., C1

journal article

Extreme learning machine based transfer learning algorithms: a survey

S Salaken, A Khosravi, T Nguyen, S Nahavandi

(2017), Vol. 267, pp. 516-524, Neurocomputing, Amsterdam, The Netherlands, C1-1

journal article

Output uncertainty score for decision making processes using interval type-2 fuzzy systems

S Salaken, A Khosravi, T Nguyen, S Nahavandi

(2017), Vol. 65, pp. 159-167, Engineering applications of artificial intelligence, Amsterdam, The Netherlands, C1-1

journal article

A particle swarm optimization-based washout filter for improving simulator motion fidelity

H Asadi, A Mohammadi, S Mohamed, C Lim, S Khatami, A Khosravi, S Nahavandi

(2017), pp. 1963-1968, SMC 2016 : Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, Budapest, Hungary, E1

conference

Lung cancer classification using deep learned features on low population dataset

S Salaken, A Khosravi, A Khatami, S Nahavandi, M Hosen

(2017), pp. 1-5, CCECE 2017 : Proceedings of the 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1

conference

Prediction interval with examples of similar pattern and prediction strength

H Kabir, M Hosen, S Nahavandi, A Khosravi

(2017), pp. 1-4, CCECE 2017 : Proceedings of the 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1

conference

Prediction interval-based controller for chemical reactor

M Hosen, S Nahavandi, A Khosravi, P Shi, L Sinnott

(2017), pp. 1-4, CCECE 2017 : Proceedings of the 2017 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1

conference

Weighted informative inverse active class selection for motor imagery brain computer interface

I Hossain, A Khosravi, S Nahavandi

(2017), pp. 1-5, CCECE 2017 : Proceedings of the IEEE 2017 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Canada, E1-1

conference

A deep-structural medical image classification for a Radon-based image retrieval

S Khatami, M Babaie, A Khosravi, H Tizhoosh, S Salaken, S Nahavandi

(2017), pp. 1-4, CCECE 2017 : Proceedings of the IEEE 30th Canadian Conference on Electrical and Computer Engineering, Windsor, Ontario, E1

conference

Multiclass EEG data classification using fuzzy systems

T Nguyen, I Hettiarachchi, A Khosravi, S Salaken, A Bhatti, S Nahavandi

(2017), pp. 1-6, FUZZ-IEEE 2017 : Proceedings of the IEEE International Conference on Fuzzy Systems, Naples, Italy, E1-1

conference

Facial emotion recognition using emotional neural network and hybrid of fuzzy c-means and genetic algorithm

E Lotfi, A Khosravi, S Nahavandi

(2017), pp. 1-6, FUZZ-IEEE 2017 : Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, Naples, Italy, E1-1

conference

A heterogeneous defense method using fuzzy decision making

A Rezaei, R Mohammadifar, E Lotfi, A Khosravi, S Nahavandi

(2017), pp. 1-8, FUZZ-IEEE 2017 : Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, Naples, Italy, E1-1

conference

A swarm optimization-based Kmedoids clustering technique for extracting melanoma cancer features

A Khatami, S Mirghasemi, A Khosravi, C Lim, H Asadi, S Nahavandi

(2017), Vol. 10637, pp. 307-316, ICONIP 2017: Proceedings of the 24th International Conference on Neural Information Processing, Guangzhou, China, E1

conference

A Haptics feedback based-LSTM predictive model for pericardiocentesis therapy using public introperative data

A Khatami, Y Tai, A Khosravi, L Wei, M Dalvand, J Peng, S Nahavandi

(2017), Vol. 10638, pp. 810-818, ICONIP 2017 : Proceedings of the Neural Information Processing International Conference, Guangzhou, China, E1

conference

A deep learning-based model for tactile understanding on haptic data percutaneous needle treatment

A Khatami, Y Tai, A Khosravi, L Wei, M Dalvand, M Zou, S Nahavandi

(2017), Vol. 10637, pp. 317-325, ICONIP 2017 : Proceedings of the 24th International Conference on Neural Information Processing, Guangzhou, China, E1-1

conference
2016

A new fuzzy-based combined prediction interval for wind power forecasting

A Kavousi-Fard, A Khosravi, S Nahavandi

(2016), Vol. 31, pp. 18-26, IEEE transactions on power systems, Piscataway, N.J., C1

journal article

A systematic design of interval type-2 fuzzy logic system using extreme learning machine for electricity load demand forecasting

S Hassan, A Khosravi, J Jaafar, M Khanesar

(2016), Vol. 82, pp. 1-10, International journal of electrical power and energy systems, Amsterdam, The Netherlands, C1

journal article

Integration of renewable generation uncertainties into stochastic unit commitment considering reserve and risk: a comparative study

H Quan, D Srinivasan, A Khosravi

(2016), Vol. 103, pp. 735-745, Energy, Amsterdam, The Netherlands, C1

journal article

An intelligent θ-Modified Bat Algorithm to solve the non-convex economic dispatch problem considering practical constraints

A Kavousi-Fard, A Khosravi

(2016), Vol. 82, pp. 189-196, International Journal of Electrical Power and Energy Systems, C1

journal article

Optimal design of adaptive type-2 neuro-fuzzy systems: a review

S Hassan, M Khanesar, E Kayacan, J Jaafar, A Khosravi

(2016), Vol. 44, pp. 134-143, Applied soft computing, Amsterdam, The Netherlands, C1

journal article

Coronary artery disease detection using computational intelligence methods

R Alizadehsani, M Zangooei, M Hosseini, J Habibi, A Khosravi, M Roshanzamir, F Khozeimeh, N Sarrafzadegan, S Nahavandi

(2016), Vol. 109, pp. 187-197, Knowledge-Based Systems, C1

journal article

Modification on enhanced Karnik-Mendel algorithm

S Salaken, A Khosravi, S Nahavandi

(2016), Vol. 65, pp. 283-291, Expert Systems with Applications, C1

journal article

Adaptive neuro-fuzzy interface system (ZNFIS) controller for polymerization reactor

M Hosen, S Nahavandi, L Sinnott, A Khosravi

(2016), pp. 34-39, 21CW 2016 : Proceedings of the IEEE Conference on Norbert Wiener in the 21st Century, Melbourne, Vic., E1

conference

A wavelet deep belief network-based classifier for medical images

A Khatami, A Khosravi, C Lim, S Nahavandi

(2016), Vol. 9949, pp. 467-474, ICONIP 2016: Proceedings of the 23rd International Conference on Neural Information Processing, Kyoto, Japan, E1

conference

Prediction interval-based ANFIS controller for nonlinear processes

M Hosen, A khosravi, S nahavandi, L Sinnott

(2016), pp. 4901-4907, IJCNN 2016 : Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, E1

conference

Prediction granules for uncertainty modelling

E Lotfi, A Khosravi, S Nahavandi

(2016), pp. 961-968, FUZZ-IEEE 2016 : Proceedings of the IEEE International Conference on Fuzzy Systems, Vancouver, Canada, E1

conference

Wind ramp event prediction with parallelized gradient boosted regression trees

S Gupta, N Shrivastava, A Khosravi, B Panigrahi

(2016), pp. 5296-5301, IJCNN 2016 : Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, E1

conference

RNA-seq data analysis using nonparametric Gaussian process models

T Nguyen, S Nahavandi, D Creighton, A Khosravi

(2016), pp. 5087-5093, IJCNN 2016 : Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, E1-1

conference

Nonlinear programming problem solving based on winner take all emotional neural network for tensegrity structure design

N Lotfi, E Lotfi, R Mirzaei, A Khosravi, S Nahavandi

(2016), pp. 826-831, IJCNN 2016 : Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, E1

conference

Active transfer learning and selective instance transfer with active learning for motor imagery based BCI

I Hossain, A Khosravi, S Nahavandi

(2016), pp. 4048-4055, IJCNN 2016 : Proceedings of the International Joint Conference on Neural Networks, Vancouver, Canada, E1

conference

A multi-objective genetic type-2 fuzzy extreme learning system for the identification of nonlinear dynamic systems

S Hassan, M Khanesar, J Jaafar, A Khosravi

(2016), pp. 155-160, SMC 2016: Proceedings of the Systems, Man, and Cybernetics IEEE International 2016 Conference, Budapest, Hungary, E1

conference
2015

Hybrid Controller with the Combination of FLC and Neural Network-Based IMC for Nonlinear Processes

Mohammad Hosen, Syed Salaken, Abbas Khosravi, Saeid Nahavandi, Douglas Creighton

(2015), pp. 206-213, Neural Information Processing, B1-1

book chapter

Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction

J Wang, C Lim, D Creighton, A Khorsavi, S Nahavandi, J Ugon, P Vamplew, A Stranieri, L Martin, A Freischmidt

(2015), Vol. 26, pp. 277-289, Neural computing and applications, Berlin, Germany, C1

journal article

Effectiveness of evolutionary algorithms for optimization of heat exchangers

R Khosravi, A Khosravi, S Nahavandi, H Hajabdollahi

(2015), Vol. 89, pp. 281-288, Energy conversion and management, Amsertdam, The Netherlands, C1

journal article

A review on computational intelligence methods for controlling traffic signal timing

S Araghi, A Khosravi, D Creighton

(2015), Vol. 42, pp. 1538-1550, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

Examining performance of aggregation algorithms for neural network-based electricity demand forecasting

S Hassan, A Khosravi, J Jaafar

(2015), Vol. 64, pp. 1098-1105, International journal of electrical power and energy systems, Amsterdam, The Netherlands, C1

journal article

Classification of healthcare data using genetic fuzzy logic system and wavelets

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 42, pp. 2184-2197, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

EEG data classification using wavelet features selected by Wilcoxon statistics

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 26, pp. 1193-1202, Neural computing and applications, Berlin, Germany, C1

journal article

EEG signal classification for BCI applications by wavelets and interval type-2 fuzzy logic systems

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 42, pp. 4370-4380, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

Intelligent cuckoo search optimized traffic signal controllers for multi-intersection network

S Araghi, A Khosravi, D Creighton

(2015), Vol. 42, pp. 4422-4431, Expert systems with applications, Amsterdam, The Netherlands, C1

journal article

Fuzzy portfolio allocation models through a new risk measure and fuzzy sharpe ratio

T Nguyen, L Gordon-Brown, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 23, pp. 656-676, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

journal article

Medical data classification using interval type-2 fuzzy logic system and wavelets

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 30, pp. 812-822, Applied soft computing, Amsterdam, The Netherlands, C1

journal article

Hierarchical gene selection and genetic fuzzy system for cancer microarray data classification

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 10, pp. 1-23, PLoS one, San Francisco, Calif., C1

journal article

Automatic spike sorting by unsupervised clustering with diffusion maps and silhouettes

T Nguyen, A Bhatti, A Khosravi, S Haggag, D Creighton, S Nahavandi

(2015), Vol. 153, pp. 199-210, Neurocomputing, Amsterdam, The Netherlands, C1

journal article

Prediction interval estimation of electricity prices using PSO-tuned support vector machines

N Shrivastava, A Khosravi, B Panigrahi

(2015), Vol. 11, pp. 322-331, IEEE transactions on industrial informatics, Piscataway, N.J., C1

journal article

A novel aggregate gene selection method for microarray data classification

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 60-61, pp. 16-23, Pattern recognition letters, Amsterdam, The Netherlands, C1

journal article

A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources

H Quan, D Srinivasan, A Khambadkone, A Khosravi

(2015), Vol. 152, pp. 71-82, Applied Energy, C1

journal article

Fuzzy system with tabu search learning for classification of motor imagery data

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 20, pp. 61-70, Biomedical signal processing and control, C1

journal article

Hidden Markov models for cancer classification using gene expression profiles

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 316, pp. 293-307, Information sciences, Amsterdam, The Netherlands, C1

journal article

Improving the quality of prediction intervals through optimal aggregation

M Hosen, A Khosravi, S Nahavandi, D Creighton

(2015), Vol. 62, pp. 4420-4429, IEEE Transactions on industrial electronics, Piscataway, N.J, C1

journal article

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

M Raza, A Khosravi

(2015), Vol. 50, pp. 1352-1372, Renewable and sustainable energy reviews, Amsterdam, The Netherlands, C1

journal article

Constructing optimal prediction intervals by using neural networks and bootstrap method

A Khosravi, S Nahavandi, D Srinivasan, R Khosravi

(2015), Vol. 26, pp. 1810-1815, IEEE Transactions on neural networks and learning systems, Piscataway, N.J., C1

journal article

Incorporating wind power forecast uncertainties into stochastic unit commitment using neural network-based prediction intervals.

H Quan, D Srinivasan, A Khosravi

(2015), Vol. 26, pp. 2123-2135, IEEE Transactions on neural networks and learning systems, Piscataway, N.J., C1

journal article

Approximation of centroid end-points and switch points for replacing type reduction algorithms

S Salaken, A Khosravi, S Nahavandi, D Wu

(2015), Vol. 66, pp. 39-52, International journal of approximate reasoning, Amsterdam, The Netherlands, C1

journal article

Multi-output interval type-2 fuzzy logic system for protein secondary structure prediction

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2015), Vol. 23, pp. 735-760, International journal of uncertainty, fuzziness and knowlege-based systems, Singapore, C1

journal article

Mass spectrometry cancer data classification using wavelets and genetic algorithm

T Nguyen, S Nahavandi, D Creighton, A Khosravi

(2015), Vol. 589, pp. 3879-3886, FEBS letters, Amsterdam, The Netherlands, C1

journal article

Optimal distribution feeder reconfiguration for increasing the penetration of plug-in electric vehicles and minimizing network costs

A Kavousi-Fard, A Abbasi, M Rostami, A Khosravi

(2015), Vol. 93, pp. 1693-1703, Energy, Amsterdam, The Netherlands, C1-1

journal article

Training of interval type-2 fuzzy logic system using extreme learning machine for load forecasting

S Hassan, A Khosravi, J Jaafar

(2015), pp. 1-5, ACM IMCOM : Proceedings of the 2015 Ubiquitous Information Management and Communication Conference, Bali, Indonesia, E1

conference

Distributed Q-learning controller for a multi-intersection traffic network

S Araghi, A Khosravi, D Creighton

(2015), Vol. 9489, pp. 337-344, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1

conference

Design of distributed adaptive neural traffic signal timing controller by cuckoo search optimization

S Araghi, A Khosravi, D Creighton

(2015), Vol. 9490, pp. 583-590, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Istanbul, Turkey, E1

conference

Improving the quality of load forecasts using smart meter data

A Shahzadeh, A Khosravi, S Nahavandi

(2015), Vol. 9492, pp. 667-674, ICONIP 2015: Proceedings of the 22nd International Conference on Neural Information Processing, Istanbul, Turkey, E1

conference

Data mining analysis of an urban tunnel pressure drop based on CFD data

E Eftekharian, A Khatami, A Khosravi, S Nahavandi

(2015), Vol. 9492, pp. 128-135, 22nd International Conference, ICONIP 2015, November 9-12, 2015, Proceedings, Part IV, Istanbul, Turkey, E1

conference

Prediction interval-based neural network controller for nonlinear processes

M Hosen, A Khosravi, S Nahavandi, D Creighton, S Salaken

(2015), pp. 1-6, IJCNN 2015 : Proceedings of the International Joint Conference on Neural Networks, Killarney, Ireland, E1

conference

Improving load forecast accuracy by clustering consumers using smart meter data

A Shahzadeh, A Khosravi, S Nahavandi

(2015), pp. 1-7, IJCNN 2015: Proceedings of the 2015 International Joint Conference on Neural Networks, Killarney, Ireland, E1

conference

An efficient hybrid algorithm for fire flame detection

A Khatami, S Mirghasemi, A Khosravi, S Nahavandi

(2015), pp. 1-6, IJCNN 2015: Proceedings of the 2015 International Joint Conference on Neural Networks, Killarney, Ireland, E1

conference

EEG signal analysis for BCI application using fuzzy system

T Nguyen, S Nahavandi, A Khosravi, D Creighton, I Hettiarachchi

(2015), Vol. 2015-September, pp. 1-8, IJCNN 2015: Proceedings of the 2015 International Joint Conference on Neural Networks, Killarney, Ireland, E1

conference

Prediction interval estimation for wind farm power generation forecasts using support vector machines

N Shrivastava, A Khosravi, B Panigrahi

(2015), pp. 1-7, IJCNN 2015 : Proceedings of the International Joint Conference on Neural Networks, Killarney, Ireland, E1

conference

Hybrid controller with the combination of FLC and neural network-based IMC for nonlinear processes

M Hosen, S Salaken, A Khosravi, S Nahavandi, D Creighton

(2015), pp. 1-10, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1

conference

Prediction interval-based control of nonlinear systems using neural networks

M Hosen, A Khosravi, S Nahavandi, D Creighton

(2015), pp. 101-110, ICONIP 2015 : Neural information processing : 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015 : proceedings, Istanbul, Turkey, E1

conference

Forecasting bike sharing demand using fuzzy inference mechanism

S Salaken, M Hosen, A Khosravi, S Nahavandi

(2015), Vol. 9491, pp. 567-574, ICONIP 2015 : Proceedings of the 22nd International Conference on Neural Information Processing, Istanbul, Turkey, E1

conference

Hybrid model for the training of interval type-2 fuzzy logic system

S Hassan, A Khosravi, J Jaafar, M Khanesar

(2015), Vol. 9489, pp. 644-653, ICONIP 2015 : Neural Information Processing Proceedings Part I, Istanbul, Turkey, E1

conference

Design of an optimal ANFIS traffic signal controller by using cuckoo search for an isolated intersection

S Araghi, A Khosravi, D Creighton

(2015), pp. 2078-2083, SMC 2015 : Big Data Analytics for Human-Centric Systems. Proceedings of the 2015 IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, China, E1

conference

A new color space based on K-medoids clustering for fire detection

A Khatami, S Mirghasemi, A Khosravi, S Nahavandi

(2015), pp. 2755-2760, SMC 2015 : Proceedings of 2015 IEEE International Conference on Systems, Man and Cybernetics, City Univ Hong Kong, Hong Kong, PEOPLES R CHINA, E1

conference

Mass spectrometry-based proteomic data for cancer diagnosis using interval type-2 fuzzy system

T Nguyen, S Nahavandi, A Khosravi, D Creighton

(2015), pp. 1-8, UZZ-IEEE 2015: Proceedings of the IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, E1

conference

Linear approximation of Karnik-Mendel type reduction algorithm

S Salaken, A Khosravi, S Nahavandi, D Wu

(2015), pp. 1-6, FUZZ-IEEE 2015: Proceedings of the IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, E1

conference

Switch point finding using polynomial regression for fuzzy type reduction algorithms

S Salaken, A Khosravi, S Nahavandi, D Wu

(2015), pp. 1-6, FUZZ-IEEE 2015: Proceedings of the IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, E1

conference

Effect of different initializations on EKM algorithm

S Salaken, A Khosravi, S Nahavandi, D Wu

(2015), pp. 1-6, FUZZ-IEEE 2015: Proceedings of the IEEE International Conference on Fuzzy Systems, Istanbul, Turkey, E1

conference

A novel objective function for design optimization of shell and tube heat exchangers

R Khosravi, A Khosravi, S Nahavandi

(2015), pp. 872-877, ICIEA 2015 : Proceedings of the 2015 10th IEEE Conference on Industrial Electronics and Applications, Auckland, New Zealand, E1-1

conference

Feature selection for interval forecasting of electricity demand time series data

M Rana, I Koprinska, A Khosravi

(2015), pp. 445-462, Artificial Neural Networks - Methods and Applications in Bio-/Neuroinformatics, E1-1

conference
2014

Application of cuckoo search for design optimization of heat exchangers

R Khosravi, A Khosravi, S Nahavandi

(2014), Vol. 8835, pp. 178-185, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Switzerland, B1

book chapter

Particle swarm optimization for construction of neural network-based prediction intervals

H Quan, D Srinivasan, A Khosravi

(2014), Vol. 127, pp. 172-180, Neurocomputing, Amsterdam, The Netherlands, C1

journal article

Short-term load and wind power forecasting using neural network-based prediction intervals

H Quan, D Srinivasan, A Khosravi

(2014), Vol. 25, pp. 303-315, IEEE transactions on neural networks and learning systems, Piscataway, N.J., C1

journal article

Multi-objective probabilistic distribution feeder reconfiguration considering wind power plants

A Kavousi-Fard, T Niknam, A Khosravi

(2014), Vol. 55, pp. 680-691, International journal of electrical power and energy systems, Amsterdam, The Netherlands, C1

journal article

Load forecasting using interval type-2 fuzzy logic systems : optimal type reduction

A Khosravi, S Nahavandi

(2014), Vol. 10, pp. 1055-1063, IEEE Transactions on industrial informatics, Piscataway, N. J., C1

journal article

Spike sorting using locality preserving projection with gap statistics and landmark-based spectral clustering

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2014), Vol. 238, pp. 43-53, Journal of neuroscience methods, Amsterdam, Netherlands, C1

journal article

An optimized mean variance estimation method for uncertainty quantification of wind power forecasts

A Khosravi, S Nahavandi

(2014), Vol. 61, pp. 446-454, International journal of electrical power and energy systems, Amsterdam, The Netherlands, C1

journal article

Performance analysis of three advanced controllers for polymerization batch reactor: an experimental investigation

M Hosen, M Hussain, F Mjalli, A Khosravi, D Creighton, S Nahavandi

(2014), Vol. 92, pp. 903-916, Chemical engineering research and design, London, England, C1

journal article

Effects of type reduction algorithms on forecasting accuracy of IT2FLS models

A Khosravi, S Nahavandi

(2014), Vol. 17, pp. 32-38, Applied soft computing journal, Amsterdam, The Netherlands, C1

journal article

An interval type-2 fuzzy logic system-based method for prediction interval construction

A Khosravi, S Nahavandi

(2014), Vol. 24, pp. 222-231, Applied soft computing journal, Amsterdam, The Netherlands, C1

journal article

Prediction interval-based modelling of polymerization reactor: a new modelling strategy for chemical reactors

M Hosen, A Khosravi, D Creighton, S Nahavandi

(2014), Vol. 45, pp. 2246-2257, Journal of the Taiwan institute of chemical engineers, Amsterdam, Netherlands, C1

journal article

Uncertainty handling using neural network-based prediction intervals for electrical load forecasting

H Quan, D Srinivasan, A Khosravi

(2014), Vol. 73, pp. 916-925, Energy, London, England, C1

journal article

Prediction interval-based neural network modelling of polystyrene polymerization reactor - a new perspective of data-based modelling

M Hosen, A Khosravi, S Nahavandi, D Creighton

(2014), pp. 2041-2051, WCECS 2012 : Proceedings of the 2012 World Congress on Engineering & Compuer Science, San Francisco, California, E1

conference

Neural signal analysis by landmark-based spectral clustering with estimated number of clusters

T Nguyen, A Khosravi, A Bhatti, D Creighton, S Nahavandi

(2014), pp. 4042-4049, IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China, E1

conference

Aggregation of Pi-based forecast to enhance prediction accuracy

M Hosen, A Khosravi, S Nahavandi, D Creighton

(2014), pp. 778-784, IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China, E1

conference

Optimal design of traffic signal controller using neural networks and fuzzy logic systems

S Araghi, A Khosravi, D Creighton

(2014), pp. 42-47, IJCNN 2014 : Proceedings of the International Joint Conference on Neural Networks, Beijing, China, E1

conference

Prediction interval estimation for electricity price and demand using support vector machines

N Shrivastava, A Khosravi, B Panigrahi

(2014), pp. 3995-4002, Proceedings of the International Joint Conference on Neural Networks, Beijing, China, E1

conference

A novel fuzzy multi-objective framework to construct optimal prediction intervals for wind power forecast

A Kavousi-Fard, A Khosravi, S Nahavadi

(2014), pp. 1015-1019, IJCNN 2014 : Proceedings of the 2014 International Joint Conference on Neural Networks, Beijing, China, E1

conference

ANFIS traffic signal controller for an isolated intersection

S Araghi, A Khosravi, D Creighton

(2014), pp. 175-180, FCTA 2014 : Proceedings of the International Conference on Fuzzy Computation Theory and Applications, Rome, Italy, E1

conference

Electricity load and price forecasting with influential factors in a deregulated power industry

S Hassan, A Khosravi, J Jaafar, M Raza

(2014), pp. 79-84, SOSE 2014 : The Socio-Technical Perspective : Proceedings of the 9th International Conference on System of Systems Engineering, Adelaide, South Australia, E1

conference

Medical diagnosis by fuzzy standard additive model with wavelets

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2014), pp. 1937-1944, FUZZ-IEEE 2014 : Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, Beijing, China, E1

conference

Structural classification of proteins through amino acid sequence using interval type-2 fuzzy logic system

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2014), pp. 1123-1130, Proceedings of the 2014 IEEE International Conference on Fuzzy Systems: FUZZ-IEEE 2014, Beijing, China, E1

conference

Optimal fuzzy traffic signal controller for an isolated intersection

S Araghi, A Khosravi, D Creighton, S Nahavandi

(2014), pp. 435-440, SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, E1

conference

Classification of neural action potentials using mean shift clustering

T Nguyen, A Khosravi, I Hettiarachchi, D Creighton, S Nahavandi

(2014), pp. 1247-1252, SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, E1

conference

Solving fuzzy programming with a consistent fuzzy number ranking

T Nguyen, V Lee, A Khosravi, D Creighton, S Nahavandi

(2014), pp. 551-556, SMC 2014 : Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, E1

conference

Assessing performance of genetic and firefly algorithms for optimal design of heat exchangers

R Khosravi, A Khosravi, S Nahavandi

(2014), Vol. 2014-January, pp. 3296-3301, Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, E1

conference

Wind power forecasting using emotional neural networks

E Lotfi, A Khosravi, M Akbarzadeh, S Nahavandi

(2014), pp. 311-316, SMC 2014 : Proceedings 2014 IEEE International Conference on Systems, Man, and Cybernetics, San Diego, CA, USA, E1

conference

A New Color Space Based on K-medoids Clustering for Fire Detection

Amin Khatami, Saeed Mirghasemi, Abbas Khosravi, Saeid Nahavandi

(2014), pp. 2755-2760, 2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014), Austin, TX, E1-1

conference

Design of an Optimal ANFIS Traffic Signal Controller by using Cuckoo Search for an Isolated Intersection

Sahar Araghi, Abbas Khosravi, Doug Creighton

(2014), pp. 2078-2083, 2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014), Austin, TX, E1-1

conference
2013

A neural network-GARCH-based method for construction of prediction intervals

A Khosravi, S Nahavandi, D Creighton

(2013), Vol. 96, pp. 185-193, Electric power systems research, Amsterdam, The Netherlands, C1

journal article

Combined nonparametric prediction intervals for wind power generation

A Khosravi, S Nahavandi

(2013), Vol. 4, pp. 849-856, IEEE transactions on sustainable energy, Piscataway, New Jersey, C1

journal article

Prediction intervals for short-term wind farm power generation forecasts

A Khosravi, S Nahavandi, D Creighton

(2013), Vol. 4, pp. 602-610, IEEE Transactions on sustainable energy, Piscataway, N.J., C1

journal article

Quantifying uncertainties of neural network-based electricity price forecasts

A Khosravi, S Nahavandi, D Creighton

(2013), Vol. 112, pp. 120-129, Applied energy, Amsterdam, The Netherlands, C1

journal article

A novel modular Q-learning architecture to improve performance under incomplete learning in a grid soccer game

S Araghi, A Khosravi, M Johnstone, D Creighton

(2013), Vol. 26, pp. 2164-2171, Engineering applications of artificial intelligence, Amsterdam, The Netherlands, C1

journal article

Epidemiological dynamics modeling by fusion of soft computing techniques

T Nguyen, A Khosravi, D Creighton, S Nahavandi

(2013), IJCNN 2013 : Proceedings of the IEEE Neural Networks 2013 International Joint Conference, Dallas, Texas, E1

conference

Evaluation and comparison of type reduction algorithms from a forecast accuracy perspective

A Khosravi, S Nahavandi, R Khosravi

(2013), pp. 1-7, FUZZ-IEEE 2013 : Proceedings of the IEEE International Conference on Fuzzy Systems, Hyderabad, India, E1

conference

A new neural network-based type reduction algorithm for interval type-2 fuzzy logic systems

A Khosravi, S Nahavandi, R Khosravi

(2013), pp. 1-6, FUZZ-IEEE 2013 : Proceedings of the IEEE International Conference on Fuzzy Systems, Hyderabad, India, E1

conference

Neural network and interval type-2 fuzzy system for stock price forecasting

T Nguyen, A Khosravi, S Nahavandi, D Creighton

(2013), pp. 1-8, FUZZ-IEEE 2013 : Proceedings of the IEEE International Conference on Fuzzy Systems, Hyderabad, India, E1

conference

Neural network ensemble : evaluation of aggregation algorithms for electricity demand forecasting

S Hassan, A Khosravi, J Jaafar

(2013), pp. 2133-2138, IJCNN 2013 : Proceedings of the 2013 International Joint Conference on Neural Networks, Dallas, Texas, E1

conference

Prediction intervals for electricity load forecasting using neural networks

M Rana, I Koprinska, A Khosravi, V Agelidis

(2013), pp. 948-955, IJCNN 2013 : Proceedings of the 2013 International Joint Conference on Neural Networks, Dallas, Texas, E1

conference

Feature selection for neural network-based interval forecasting of electricity demand data

M Rana, I Koprinska, A Khosravi

(2013), pp. 389-396, ICANN 2013 : Artificial neural networks and machine learning - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013 : proceedings, Sofia, Bulgaria, E1

conference

Bayesian model averaging of load demand forecasts from neural network models

S Hassan, A Khosravi, J Jaafar

(2013), pp. 3192-3197, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1

conference

Variance-covariance based weighing for neural network ensembles

S Hassan, A Khosravi, J Jaafar

(2013), pp. 3214-3219, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1

conference

Control of polystyrene batch reactor using fuzzy logic controller

M Hosen, A Khosravi, S Nahavandi, D Creighton

(2013), pp. 4516-4521, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1

conference

Artificial neural network analysis of twin tunnelling-induced ground settlements

S Khatami, A Mirhabibi, A Khosravi, S Nahavandi

(2013), pp. 2492-2498, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1

conference

A new approach based on support vector machine for solving stochastic optimization

S Khatami, A Khosravi, S Nahavandi

(2013), pp. 2498-2503, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1

conference

Path planning for CNC machines considering centripetal acceleration and jerk

A Shahzadeh, A Khosravi, S Nahavandi

(2013), pp. 1759-1764, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1

conference

Intelligent traffic light control of isolated intersections using machine learning methods

S Araghi, A Khosravi, M Johnstone, D Creighton

(2013), pp. 3621-3626, SMC 2013 : Proceedings of the 2013 IEEE International Conference on Systems, Man and Cybernetics, Manchester, England, E1

conference

Q-learning method for controlling traffic signal phase time in a single intersection

S Araghi, A Khosravi, M Johnstone, D Creighton

(2013), pp. 1261-1265, ITSC 2013 : Intelligent transportation systems for all transport modes : Proceedings of the IEEE Intelligent Transport Systems 2013 International Conference, The Hague, Netherlands, E1

conference

Construction of neural network-based prediction intervals for short-term electrical load forecasting

H Quan, D Srinivasan, A Khosravi, S Nahavandi, D Creighton

(2013), pp. 66-72, CIASG 2013 : Proceedings of the 2013 IEEE Computational Intelligence Applications in Smart Grid, Singapore, E1

conference
2012

Interval type-2 fuzzy logic systems for load forecasting : a comparative study

A Khosravi, S Nahavandi, D Creighton, D Srinivasan

(2012), Vol. 27, pp. 1274-1282, IEEE transactions on power systems, Piscataway, N. J, C1

journal article

Prediction interval construction using interval type-2 fuzzy logic systems

A Khosravi, S Nahavandi, D Creighton, R Naghavizadeh

(2012), pp. 1504-1510, FUZZ-IEEE/WCCI 2012 : Proceedings of the IEEE 2012 International Conference on Fuzzy Systems, Brisbane, Qld, E1

conference

Uncertainty quantification for wind farm power generation

A Khosravi, S Nahavandi, D Creighton, R Naghavizadeh

(2012), pp. 309-314, IJCNN/WCCI 2012 : Proceedings of the 2012 International Joint Conference on Neural Networks, Brisbane, Qld., E1

conference

Construction of neural network-based prediction intervals using particle swarm optimization

H Quan, D Srinivasan, A Khosravi

(2012), pp. 647-653, IJCNN/WCCI 2012 : Proceedings of the 2012 International Joint Conference on Neural Networks, Brisbane, Qld., E1

conference

Performance analysis of two advanced controllers for polystyrene polymerization in batch reactor

M Hosen, A Khosravi, S Nahavandi, D Creighton, M Hussain

(2012), pp. 729-732, WCECS 2012 : Proceedings of the World Congress on Engineering and Computer Science, San Francisco, Calif., E1

conference

Wind farm power uncertainty quantification using a mean-variance estimation method

A Khosravi, S Nahavandi, D Creighton, J Jaafar

(2012), pp. 1-6, POWERCON 2012 : Proceedings of the 2012 IEEE International Conference on Power System Technology, Auckland, New Zealand, E1

conference

Improving load forecasting accuracy through combination of best forecasts

S Hassan, A Khosravi, J Jaafar

(2012), pp. 1-6, POWERCON 2012 : Proceedings of the 2012 IEEE International Conference on Power System Technology, Auckland, New Zealand, E1

conference

A new genetic fuzzy system approach for parameter estimation of ARIMA model

S Hassan, J Jaafar, B Belhaouari, A Khosravi

(2012), Vol. 1482, pp. 455-459, AIP Conference Proceedings, Kuala Lumpur, MALAYSIA, E1-1

conference

Load forecasting accuracy through combination of trimmed forecasts

S Hassan, A Khosravi, J Jaafar, S Belhaouari

(2012), Vol. 7663 LNCS, pp. 152-159, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Doha, QATAR, E1-1

conference
2011

A genetic algorithm-based method for improving quality of travel time prediction intervals

A Khosravi, E Mazloumi, S Nahavandi, D Creighton, J Van Lint

(2011), Vol. 19, pp. 1364-1376, Transportation research part C, Oxford, United Kingdom, C1

journal article

Comprehensive review of neural network-based prediction intervals and new advances

A Khosravi, S Nahavandi, D Creighton, A Atiya

(2011), Vol. 22, pp. 1341-1356, IEEE Transactions on Neural Networks, Piscataway, N. J, C1

journal article

Lower upper bound estimation method for construction of neural network-based prediction intervals

A Khosravi, S Nahavandi, D Creighton, A Atiya

(2011), Vol. 22, pp. 337-346, IEEE Transactions on Neural Networks, Piscataway, NJ, C1

journal article

Prediction interval construction and optimization for adaptive neurofuzzy inference systems

A Khosravi, S Nahavandi, D Creighton

(2011), Vol. 19, pp. 983-988, IEEE transactions on fuzzy systems, Piscataway, N.J., C1

journal article

Prediction intervals to account for uncertainties in travel time prediction

A Khosravi, E Mazloumi, S Nahavandi, D Creighton, J van Lint

(2011), Vol. 12, pp. 537-547, IEEE transactions on intelligent transportation systems, Piscataway, N. J., C1

journal article

Hybrid neural-evolutionary model for electricity price forecasting

D Srinivasan, Z Guofan, A Khosravi, S Nahavandi, D Creighton

(2011), pp. 3164-3169, IJCNN 2011 : Proceedings of the International Joint Conference on Neural Networks, San Jose, Calif., E1

conference

Optimizing the quality of bootstrap-based prediction intervals

A Khosravi, S Nahavandi, D Creighton, D Srinivasan

(2011), pp. 3072-3078, IJCNN 2011 : Proceedings of the International Joint Conference on Neural Networks, San Jose, Calif., E1

conference

Short term load forecasting using interval type-2 fuzzy logic systems

A Khosravi, S Nahavandi, D Creighton

(2011), pp. 502-508, FUZZ 2011 : Proceedings of the IEEE 2011 International Conference on Fuzzy Systems, Taipei, Taiwan, E1

conference
2010

Load forecasting and neural networks : a prediction interval-based perspective

A Khosravi, S Nahavandi, D Creighton

(2010), pp. 131-150, Computational intelligence in power engineering, Berlin, Germany, B1

book chapter

Developing a robust prediction interval based criterion for neural network model selection

A Khosravi, S Nahavandi, D Creighton

(2010), pp. 727-734, Neural Information processing: models and applications, Heidelberg , Germany, B1

book chapter

A prediction interval-based approach to determine optimal structures of neural network metamodels

A Khosravi, S Nahavandi, D Creighton

(2010), Vol. 37, pp. 2377-2387, Expert systems with applications, Oxford, England, C1

journal article

Construction of optimal prediction intervals for load forecasting problems

A Khosravi, S Nahavandi, D Creighton

(2010), Vol. 25, pp. 1496-1503, IEEE transactions on power systems, Piscataway, N.J., C1

journal article

Predicting amount of saleable products using neural network metamodels of casthouses

A Khosravi, S Nahavandi, D Creighton, B Gunn

(2010), pp. 2018-2023, ICARCV 2010 : 11th International Conference on Control, Automation, Robotics and Vision, Singapore, E1

conference
2009

Improving prediction interval quality : a genetic algorithm-based method applied to neural networks

A Khosravi, S Nahavandi, D Creighton

(2009), Vol. 5864, pp. 141-149, Lecture notes in computer science, Heidelberg, Germany, C1

journal article

Integrating simulated annealing and delta technique for constructing optimal prediction intervals

A Khosravi, S Nahavandi, D Creighton

(2009), Vol. 5863, pp. 285-292, Lecture notes in computer science, Heidelberg, Germany, C1

journal article

Classification of sags gathered in distribution substations based on multiway principal component analysis

A Khosravi, J Meléndez, J Colomer

(2009), Vol. 79, pp. 144-151, Electric power systems research, Amsterdam, The Netherlands, C1-1

journal article

Interpreting and modeling baggage handling systems as a system of systems

A Khosravi, S Nahavandi, D Creighton

(2009), pp. 1-6, ICIT 2009 : Future technology in service of regional industry : Proceedings of the IEEE Industrial Tecnology 2009 international conference, Gippsland, Victoria, E1

conference

Estimating performance indexes of a baggage handling system using metamodels

A Khosravi, S Nahavandi, D Creighton

(2009), pp. 1-6, ICIT 2009 : Future technology in service of regional industry : Proceedings of the IEEE Industrial Tecnology 2009 international conference, Gippsland, Victoria, E1

conference

Constructing prediction intervals for neural network metamodels of complex systems

A Khosravi, S Nahavandi, D Creighton

(2009), pp. 1576-1582, IJCNN 2009 : Proceedings of the IEEE Neural Networks 2009 international joint conference, Atlanta, Georgia, E1

conference

Developing optimal neural network metamodels based on prediction intervals

A Khosravi, S Nahavandi, D Creighton

(2009), pp. 1583-1589, IJCNN 2009 : Proceedings of the IEEE Neural Networks 2009 international joint conference, Atlanta, Georgia, E1

conference

Funded Projects at Deakin

Australian Competitive Grants

Uncertainty Quantification Using Type-2 Fuzzy Systems

Prof Saeid Nahavandi, Prof Douglas Creighton, A/Prof Abbas Khosravi, A/Prof Dipti Srinivasan

ARC - Discovery Projects

  • 2014: $99,992
  • 2013: $97,059
  • 2012: $93,463

Quantification, optimisation, and application of deep uncertainty

Prof Saeid Nahavandi, A/Prof Abbas Khosravi, Prof Chee Peng Lim, A/Prof Dipti Srinivasan

ARC - Discovery Projects

  • 2021: $161,212
  • 2020: $154,306
  • 2019: $139,369

Learning deep resilient behaviour for uncertainty-aware autonomy

Prof Saeid Nahavandi, A/Prof Abbas Khosravi, Prof Chee Peng Lim, Prof Hieu Trinh

ARC - Discovery Projects

  • 2022: $108,078
  • 2021: $150,266

Other Public Sector Funding

Virtual firefighting training simulation with real time performance monitoring - HotFire Trainer

Prof Saeid Nahavandi, A/Prof Asim Bhatti, A/Prof Samer Hanoun, Dr Darius Nahavandi, A/Prof Shady Mohamed, Dr Matthew Watson, A/Prof Abbas Khosravi, Dr Navid Mohajer, Mr Syed Salaken

DoD Grant - Research - Department of Defence

  • 2022: $1,123,868
  • 2021: $1,178,725

Industry and Other Funding

Tinnitus Measurement System

Prof Saeid Nahavandi, A/Prof Abbas Khosravi

Medical Device Partnering Program

  • 2021: $37,500

An intelligent online platform to predict adverse outcomes from cancer-related malnutrition using the GLIM criteria

A/Prof Nicole Kiss, A/Prof Abbas Khosravi, Dr Roohallah Alizadehsani, Ms Belinda Steer, Prof Marian de van der Schueren, Ms Jenelle Loeliger, Dr Lara Edbrooke, Ms Irene Deftereos, Dr Erin Laing

MNI Project Grant - Medical Nutrition International Industry

  • 2021: $47,566

SCALED AUTOMATION THROUGH EMERGING HUMAN-IN-THE-LOOP WORK CONFIGURATIONS.

A/Prof Abbas Khosravi, Dr Navid Mohajer, Mr Farhad Nazari

Aurecon Australasia Pty Ltd

  • 2022: $16,000

Other Funding Sources

A haptic-based immersive motion platform for human performance evaluation

Prof Saeid Nahavandi, A/Prof Bijan Shirinzadeh, Prof Chee Peng Lim, A/Prof Abbas Khosravi, Dr Chao Chen, Prof Hieu Trinh

Monash University, ARC LIEF - Linkage Infrastructure Equipment & Facilities Program

  • 2015: $395,000

Ingress/Egress Ergonomic Assessment: Automating Posture Modification

Prof Saeid Nahavandi, Prof Douglas Creighton, Dr Mohammed Hossny, A/Prof Shady Mohamed, A/Prof Asim Bhatti, Dr Lei Wei, Dr Imali Hettiarachchi, A/Prof Abbas Khosravi

AutoCRC Ltd

  • 2017: $525,600

A high-payload, high-fidelity haptically-enabled motion simulation facility

Prof Saeid Nahavandi, A/Prof Bijan Shirinzadeh, Prof Peng Shi, A/Prof Jingxin Zhang, Prof Chee Peng Lim, Prof Hieu Trinh, Dr Chao Chen, Dr Mehran Motamed Ektesabi, Rifai Chai, A/Prof Abbas Khosravi, A/Prof Houshyar Asadi

University of Adelaide, Swinburne University of Technology, ARC LIEF - Linkage Infrastructure Equipment & Facilities Program, Monash University

  • 2020: $610,000

A Decentralised Cognitive System for Radar Signal Recognition.

Mr Syed Salaken, Prof Saeid Nahavandi, A/Prof Abbas Khosravi, Prof Chee Peng Lim

Cooperative Research Centres (CRC) Projects Program, Department of Industry, Innovation and Science.

  • 2021: $94,416

Supervisions

Principal Supervisor
2021

Seyed Mohammad Jafar Jalali

Thesis entitled: Designing Deep Neural Networks through Neuroevolution

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

Afsaneh Koohestani

Thesis entitled: Towards Identifying Driver Performance Degradation using Physiological Signals

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

2018

Ibrahim Hossain

Thesis entitled: Informative Transfer by Active Learning for Calibration Time Reduction of Brain Computer Interface

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

Syed Moshfeq Salaken

Thesis entitled: Solving Computational Bottleneck of Interval Type-2 Fuzzy Systems

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

Executive Supervisor
2021

Roohallah Alizadehsani

Thesis entitled: Uncertainty-Aware Model Training and Decision Making

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

Co-supervisor
2019

Abbas Shahzadeh

Thesis entitled: Toolpath Smoothing using Clothoids for High Speed CNC Machines

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

Associate Supervisor
2022

Moloud Abdar

Thesis entitled: Uncertainty Quantification for Deep Learning-based Medical Decision Making

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

2020

Parham Mohsenzadeh Kebria

Thesis entitled: Robust Control of Teleoperation Systems with Time-varying Delay over Internet Communications.

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

Hussain Mohammed Dipu Kabir

Thesis entitled: Study on the Neural Network-based Direct Uncertainty Quantification

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

2017

Seyedamin Khatami

Thesis entitled: Deep Neural Network Generalisation in Medical Application

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

Rihanna Khosravi

Thesis entitled: Multiobjective Optimisation of Heat Exchangers Using Evolutionary Algorithms

Doctor of Philosophy (Engineering), Institute for Intelligent Systems Research and Innovation

2016

Marwa Hassan

Thesis entitled: Quantifying Heteroskedasticity Metrics

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

2015

Sahar Araghi

Thesis entitled: Computational Intelligence-based Traffic Signal Timing Optimization

Doctor of Philosophy (Information Technology), Institute for Intelligent Systems Research and Innovation

Mohammad Hosen

Thesis entitled: Prediction interval-based modelling and control of nonlinear processes

Doctor of Philosophy (Information Technology), Centre for Intelligent Systems Research.