Dr Bahareh Nakisa

STAFF PROFILE

Position

Lecturer, Applied Artificial Intelligence

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 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, 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.  

Publications

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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

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

(2022), Vol. 32, Sustainable Energy, Grids and Networks, C1

journal article
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

Funded Projects at Deakin

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

Supervisions

No completed student supervisions to report