## Career highlights

2007-2010: PhD, Deakin University, Australia

2006-2007: Research Fellow, University of Girona, Spain

## Research interests

- 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

V Khezri, E Yasari, M Panahi, A Khosravi

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

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

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

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

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

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

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

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

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

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

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

P Kebria, A Khosravi, S Nahavandi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Ibrahim Hossain, Abbas Khosravi, Imali Hettiarachchi, Saeid Nahavandi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

S Araghi, A Khosravi, D Creighton, S Nahavandi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

H Quan, D Srinivasan, A Khosravi

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

A Kavousi-Fard, A Khosravi

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

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

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

Modification on enhanced Karnik-Mendel algorithm

S Salaken, A Khosravi, S Nahavandi

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

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

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

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

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

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

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

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

I Hossain, A Khosravi, S Nahavandi

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

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

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

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

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

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

S Hassan, A Khosravi, J Jaafar

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

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

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

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

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

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

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

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

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

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

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

H Quan, D Srinivasan, A Khambadkone, A Khosravi

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

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

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

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

M Raza, A Khosravi

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

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

H Quan, D Srinivasan, A Khosravi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

N Shrivastava, A Khosravi, B Panigrahi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

T Nguyen, A Khosravi, D Creighton, S Nahavandi

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Sahar Araghi, Abbas Khosravi, Doug Creighton

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

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

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

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

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

S Araghi, A Khosravi, M Johnstone, D Creighton

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Khosravi, J Meléndez, J Colomer

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

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

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

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

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

### 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

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

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

Roohallah Alizadehsani

Thesis entitled: Uncertainty-Aware Model Training and Decision Making

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

Abbas Shahzadeh

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

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

Moloud Abdar

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

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

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

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

Marwa Hassan

Thesis entitled: Quantifying Heteroskedasticity Metrics

Sahar Araghi

Thesis entitled: Computational Intelligence-based Traffic Signal Timing Optimization

Mohammad Hosen

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

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