Moein Khajehnejad
Scholar

Moein Khajehnejad

Google Scholar ID: sNCC42QAAAAJ
Post-doctoral Research Fellow @ Monash University
NeuroAIMachine LearningNetwork ScienceComputational NeuroscienceGame Theory
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
668
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
17
list available
Contact
Emailmoein.khajehnejad@monash.eduGitHubOpen ↗LinkedInOpen ↗
Publications
6 items
Brain-MGF: Multimodal Graph Fusion Network for EEG-fMRI Brain Connectivity Analysis Under Psilocybin
2025
Cited
0
Hi-DREAM: Brain Inspired Hierarchical Diffusion for fMRI Reconstruction via ROI Encoder and visuAl Mapping
2025
Cited
0
Simulating Biological Intelligence: Active Inference with Experiment-Informed Generative Model
2025
Cited
0
BrainSymphony: A Transformer-Driven Fusion of fMRI Time Series and Structural Connectivity
2025
Cited
0
A Principled Bayesian Framework for Training Binary and Spiking Neural Networks
2025
Cited
0
Graph-Based Representation Learning of Neuronal Dynamics and Behavior
2024
Cited
1
Resume (English only)
Academic Achievements
  • - Publications (specific list not provided)
  • - Awards (specific awards not provided)
  • - Organized NeuroAI Workshop @ NeurIPS 2024, attended by over 1,400 participants
Research Experience
  • - Post-doctoral Research Fellow at Monash Data Future Institute and Computational & Systems Neuroscience Laboratory, working with Prof. Adeel Razi
  • - Part-time Applied Scientist at Cortical Labs, using the DishBrain system to study network dynamics and lifelong learning
  • - Organizing Program Chair of NeuroAI Workshop @ NeurIPS 2024, attended by over 1,400 participants
  • - Ph.D. student working on task allocation and decision-making in multi-agent systems using Evolutionary Graph Theory and Reinforcement Learning
  • - Visiting Scholar at Max Planck Institute for Software Systems (MPI-SWS) in 2019
Education
  • - Ph.D., Department of Data Science and AI, Faculty of Information Technology, Monash University, Supervisors: Prof. Bernd Meyer and Dr. Julian Garcia
  • - Visiting Scholar, Max Planck Institute for Software Systems (MPI-SWS), Supervisors: Prof. Adish Singla and Prof. Manuel Gomez-Rodriguez
  • - B.Sc., Electrical Engineering and Computer Sciences, Sharif University of Technology, Tehran, Iran
  • - Visiting Researcher, Distributed Information Systems Laboratory (LSIR), École polytechnique fédérale de Lausanne (EPFL), Supervisors: Prof. Karl Aberer and Dr. Alex Constantin
  • - Visiting Scholar, statNLP group, Singapore University of Technology and Design (SUTD-MIT), Supervisor: Prof. Lu Wei
  • - Research Intern, SyMLab, Hong Kong University of Science and Technology (HKUST), Supervisors: Prof. Pan Hui and Dr. Tongfeng Weng
Background
  • Research Interests: Neuro-AI and Lifelong Learning, Deep Reinforcement Learning and Evolutionary Game Theory, Graph Representation Learning. Professional Field: Computational Neuroscience.
Miscellany
  • Personal interests include advancing research in Neuro-AI and Lifelong Learning
Co-authors
17 total
Forough Habibollahi S.
Forough Habibollahi S.
Applied Scientist - Postdoctoral Research Fellow @ CorticalLabs
Adeel Razi
Adeel Razi
Monash University, Ausralia
Karl Friston
Karl Friston
University College London
Adrian Weller
Adrian Weller
Director of Research, Machine Learning, University of Cambridge
Co-author 5
Co-author 5
Manuel Gomez Rodriguez
Manuel Gomez Rodriguez
Faculty, Max Planck Institute for Software Systems (MPI-SWS)
Adish Singla
Adish Singla
Tenured Faculty, Max Planck Institute for Software Systems (MPI-SWS), Germany
Co-author 8
Co-author 8