Profile image of Bahareh Nakisa

Dr Bahareh Nakisa

STAFF PROFILE

Position

Senior Lecturer

Faculty

Faculty of Sci Eng & Built Env

Department

School of Info Technology

Campus

Geelong Waurn Ponds Campus

Contact

bahar.nakisa@deakin.edu.au
+61 3 522 73816

Biography summary

Dr. Bahareh Nakisa is a Senior Lecturer of Applied AI and the course director of Applied AI at School of Information Technology, Deakin University, She received a B.Sc. degree in Soft Engineering from Iran in 2008, Master of Computer Science from the National Univeristy of Malaysia in 2014, and a PhD in Computer Science (Artificial Intelligence) from the Queensland University of Technology (QUT), Australia  in 2019. She started working in Industry as AI scientist and Lead AI scientist and then she joined School of Information Technology, Deakin University as a Lecturer of Applied AI in 2019. 

Her research spans a broad range of topics related to the Artificial Intelligence, Human-AI collaboration, Machine learning, deep learning. She has applied analytic and algorithmic tools from these fields to solve real-world problems related to diverse domains specially in Transportation, Health, Affective Computing, and air quality.  

Research interests

Applied Artificial Intelligence, Pattern recognition, Affective Computing, Human-Computer interaction, Signal Processing, Time-series data analysis

Publications

Filter by

2023

Driver Emotion Recognition with a Hybrid Attentional Multimodal Fusion Framework

L Mou, Y Zhao, C Zhou, B Nakisa, M Rastgoo, L Ma, T Huang, B Yin, R Jain, W Gao

(2023), Vol. 14, pp. 2790-2981, IEEE Transactions on Affective Computing, Piscataway, N.J., C1

journal article

Artificial Intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review

S Sardari, S Sharifzadeh, A Daneshkhah, B Nakisa, S Loke, V Palade, M Duncan

(2023), Vol. 158, pp. 1-21, Computers in Biology and Medicine, Amsterdam, The Netherlands, C1

journal article

AI apology: interactive multi-objective reinforcement learning for human-aligned AI

H Harland, R Dazeley, B Nakisa, F Cruz, P Vamplew

(2023), Vol. 35, pp. 16917-16930, Neural Computing and Applications, Berlin, Germany, C1

journal article

Application of a Comprehensive Evaluation Framework to COVID-19 Studies: Systematic Review of Translational Aspects of Artificial Intelligence in Health Care

Aaron Casey, Saba Ansari, Bahareh Nakisa, Blair Kelly, Pieta Brown, Paul Cooper, Imran Muhammad, Steven Livingstone, Sandeep Reddy, Ville-Petteri Makinen

(2023), Vol. 2, pp. 1-13, JMIR AI, Toronto, Ont., C1

journal article

Sensor-based indoor air temperature prediction using deep ensemble machine learning: An Australian urban environment case study

W Yu, B Nakisa, E Ali, S Loke, S Stevanovic, Y Guo

(2023), Vol. 51, pp. 1-14, Urban Climate, Amsterdam, The Netherlands, C1

journal article

Using an extended technology acceptance model to investigate facial authentication

B Nakisa, F Ansarizadeh, P Oommen, R Kumar

(2023), Vol. 12, pp. 100099-100099, Telematics and Informatics Reports, C1

journal article

Mental Health and Well-being in Space: Artificial Intelligence-supported Heritage Extended Reality Experiences and What Can be Learnt for the Indigenous Perspectives

Kaja Antlej, Annahita Nezami, Bahareh Nakisa, Kaori Becerril, Tyson Yunkaporta, Gabrielle Fletcher, John Davis

(2023), AIAA SCITECH 2023 Forum, E1

conference

A Multi-Activity Fusion Approach for Gender Recognition based on Human Activity

H Koralege, T Ngo, P Pathirana, B Nakisa

(2023), pp. 1-4, EMBC 2023 : Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, N.S.W., E1

conference
2022

Audio based depression detection using Convolutional Autoencoder

S Sardari, B Nakisa, M Rastgoo, P Eklund

(2022), Vol. 189, pp. 1-13, Expert Systems with Applications, Amsterdam, The Netherlands, C1

journal article

Solar irradiance forecasting using a novel hybrid deep ensemble reinforcement learning algorithm

Seyed Jalali, Sajad Ahmadian, Bahareh Nakisa, Mahdi Khodayar, Abbas Khosravi, Saeid Nahavandi, Syed Islam, Miadreza Shafie-khah, João Catalão

(2022), Vol. 32, pp. 1-12, Sustainable Energy, Grids and Networks, Amsterdam, The Netherlands, C1

journal article

Technology Acceptance Model: A Case Study of Palm Vein Authentication Technology

B Nakisa, F Ansarizadeh, P Oommen, S Shrestha

(2022), Vol. 10, pp. 120436-120449, IEEE Access, C1

journal article

Driver stress levels detection system using hyperparameter optimization

M Rastgoo, B Nakisa, A Rakotonirainy, F Maire, V Chandran

(2022), Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, C1

journal article

Integrating dual-purposed meaningful Extended Reality (XR) experiences into a daily exercise routine in Isolated, Confined, and Extreme (ICE) environments: engineering design student concepts for improving crew motivation and proprioception

Kaja Antlej

(2022), IAA 2022 : Proceedings of the International Academy of Astronautics Symposium on Space and Society 2022, Paris, France, E1

conference
2021

Driver stress detection via multimodal fusion using attention-based CNN-LSTM

L Mou, C Zhou, P Zhao, B Nakisa, M Rastgoo, R Jain, W Gao

(2021), Vol. 173, Expert Systems with Applications, C1

journal article

Multiomics, virtual reality and artificial intelligence in heart failure

P Gladding, S Loader, K Smith, E Zarate, S Green, S Villas-Boas, P Shepherd, P Kakadiya, W Hewitt, E Thorstensen, C Keven, M Coe, B Nakisa, T Vuong, M Rastgoo, M Jüllig, V Starc, T Schlegel

(2021), Vol. 17, pp. 1335-1347, Future Cardiology, England, C1

journal article

Personalized Health Navigation for Drivers

L Mou, C Zhou, Y Zhao, P Zhao, B Nakisa, R Jain, B Yin

(2021), Vol. 47, pp. 508-519, Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology, Beijing, China, C1

journal article
2020

Automatic Emotion Recognition Using Temporal Multimodal Deep Learning

B Nakisa, M Rastgoo, A Rakotonirainy, F Maire, V Chandran

(2020), Vol. 8, pp. 225463-225474, IEEE Access, C1

journal article
2019

Monthly and seasonal modeling of municipal waste generation using radial basis function neural network

M Abbasi, M Rastgoo, B Nakisa

(2019), Vol. 38, Environmental Progress and Sustainable Energy, C1-1

journal article

A critical review of proactive detection of driver stress levels based on multimodal measurements

M Rastgoo, B Nakisa, A Rakotonirainy, V Chandran, D Tjondronegoro

(2019), Vol. 51, pp. 1-35, ACM Computing Surveys, New York, N.Y., C1-1

journal article

Automatic driver stress level classification using multimodal deep learning

M Rastgoo, B Nakisa, F Maire, A Rakotonirainy, V Chandran

(2019), Vol. 138, Expert Systems with Applications, C1-1

journal article
2018

Long short term memory hyperparameter optimization for a neural network based emotion recognition framework

B Nakisa, M Rastgoo, A Rakotonirainy, F Maire, V Chandran

(2018), Vol. 6, pp. 49325-49338, IEEE Access, Piscataway, N.J., C1-1

journal article

Evolutionary computation algorithms for feature selection of EEG-based emotion recognition using mobile sensors

B Nakisa, M Rastgoo, D Tjondronegoro, V Chandran

(2018), Vol. 93, pp. 143-155, Expert Systems with Applications, Amsterdam, The Netherlands, C1-1

journal article

Target searching in unknown environment of multi-robot system using a hybrid particle swarm optimization

B Nakisa, M Rastgoo, M Nazri, M Nordin

(2018), Vol. 96, pp. 4055-4065, Journal of Theoretical and Applied Information Technology, Islamabad, Pakistan, C1-1

journal article
2017

The effects of higher temperature setpoints during summer on office workers' cognitive load and thermal comfort

F Zhang, S Haddad, B Nakisa, M Rastgoo, C Candido, D Tjondronegoro, R de Dear

(2017), Vol. 123, pp. 176-188, Building and Environment, Amsterdam, The Netherlands, C1-1

journal article
2015

A hybrid of modified PSO and local search on a multi-robot search system

M Rastgoo, B Nakisa, M Nazri

(2015), Vol. 12, pp. 1-15, International Journal of Advanced Robotic Systems, London, Eng., C1-1

journal article

A multi-swarm particle swarm optimization with local search on multi-robot search system

B Nakisa, M Rastgoo, M Nasrudin, M Nazri

(2015), Vol. 71, pp. 129-136, Journal of Theoretical and Applied Information Technology, Islamabad, Pakistan, C1-1

journal article

A modified particle swarm optimization on search tasking

Mohammad Rastgoo, Bahareh Nakisa, Mohammad Ahmadi

(2015), Vol. 9, pp. 594-600, Research Journal of Applied Sciences, Engineering and Technology, Reading, Eng., C1-1

journal article
2014

A survey: Particle swarm optimization based algorithms to solve premature convergence problem

B Nakisa, M Nazri, M Rastgoo, S Abdullah

(2014), Vol. 10, pp. 1758-1765, Journal of Computer Science, New York, N.Y., C1-1

journal article

A critical evaluation of literature on robot path planning in Dynamic environment

M Rastgoo, B Nakisa, M Nasrudin, M Nazri

(2014), Vol. 70, pp. 177-185, Journal of Theoretical and Applied Information Technology, Islamabad, Pakistan, C1-1

journal article

Balancing exploration and exploitation in particle swarm optimization on search tasking

Bahareh Nakisa, Mohammad Rastgoo, Md Norodin

(2014), Vol. 8, pp. 1429-1434, Research Journal of Applied Sciences, Engineering and Technology, Reading, Eng., C1

journal article

Synchronization of a microgrid with main network through static switch based on neural network controller

B Nakisa, S Nosratabadi, A Rajabi, M Dehghani, M Molla-Ahmadi

(2014), pp. 94-99, 2014 19th Conference on Electrical Power Distribution Networks, EPDC 2014, E1-1

conference

Funded Projects at Deakin

Other Public Sector Funding

AI Apology: Considerations for An Apologetic Approach to Socially Responsible Agents.

Prof Richard Dazeley, Dr Bahareh Nakisa, Mx Hadassah Harland

CSIRO

  • 2023: $10,000

Industry and Other Funding

Manfacturing the next generation Palm Vein Biometric Scanning Solution.

Dr Bahareh Nakisa, Prof Antonio Robles-Kelly

Aervision t/as Aervision Technologies Pty Ltd

  • 2022: $11,500
  • 2021: $20,000

Air quality monitoring interpolation and prediction using low-cost outdoor air quality monitoring sensors station.

Dr Bahareh Nakisa, Dr Naim Rastgoo

Aetmos Pty Ltd

  • 2023: $5,000

Empowering Agents with Human Feedback: Integrating Implicit and Explicit Signals in Deep Reinforcement Learning

Dr Bahareh Nakisa, Dr Naim Rastgoo, Prof Richard Dazeley, Dr Sunil Aryal

Asian Office of Aerospace Research and Development

  • 2023: $256,742

Intelligent Table Tennis Match Analysis: Automated Insights Extraction through Machine Learning and Computer Vision.

Dr Sunil Aryal, Dr Bahareh Nakisa, Prof Richard Dazeley

Table Tennis Australia Ltd

  • 2023: $20,000

Supervisions

No completed student supervisions to report