Moein Khajehnejad

Post-doctoral Research Fellow
Email: moein.khajehnejad@monash.edu
Address: Monash Biomedical Imaging, 3800, Clayton, Australia
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Bio

I am a post-doctoral research fellow in Computational & Systems Neuroscience Laboratory at Turner Institute for Brain and Mental Health at Monash University working with Prof. Adeel Razi. Currently, my research is on synergising the power of Active Inference, Reinforcement Learning, and Network Science to understand the biological mechanisms behind ongoing learning.
I am also a part-time data scientist at Cortical Labs. In collaboration with Cortical Labs, and using the DishBrain system (a closed-loop in-vitro network of neurons implemented on muti-electrode arrays and learning to play games in an embodied environment), I am studying the network dynamics during learning and investigating the presence of lifelong learning without catastrophic forgetting in these live biological intelligent systems.

Before that, I was Ph.D. student working with Prof. Bernd Meyer and Dr. Julian Garica at the Department of Data Science and AI, Faculty of Information Technology, Monash University, Melbourne, Australia . I worked on the problem of task allocation and decision-making in multi-agent systems using Evolutionary Graph Theory as well as Reinforcement Learning.

In 2019, I was a visiting scholar at Max Planck Institute for Software Systems (MPI-SWS), working under the supervision of Prof. Adish Singla the head of Machine Teaching group and Prof. Manuel Gomez-Rodriguez in Saarbrücken, Germany .

Prior to that, I earned my B.Sc. degree in Electrical Engineering and Computer Sciences from the Sharif University of Technology in Tehran, Iran . As an undergraduate student, I devoted a big portion of my studies to professional research and I had the opportunity to be a research intern at the world’s prestigious universities.

I worked with Prof. Karl Aberer, head of Distributed Information Systems Laboratory (LSIR), and Dr. Alex Constantin at École polytechnique fédérale de Lausanne (EPFL) as a visiting researcher in Lausanne, Switzerland . 

 I also had the experience of being a visiting scholar in the statNLP group with the supervision of Prof. Lu Wei at Singapore University of Technology and Design (SUTD-MIT) in Singapore .

I was also a research intern at Hong Kong University of Science and Technology (HKUST) working at SyMLab under the supervision of Prof. Pan Hui and Dr. Tongfeng Weng in Hong Kong

During these visits, I worked on state-of-the-art topics like complex network analysis, network embedding, topic modelling, natural language processing, decision-making, and fairness.

My research interests are:

  • Neuro-AI and Lifelong Learning
  • Deep Reinforcement Learning and Evolutionary Game Theory
  • Graph Representation Learning