About Me
I am a Ph.D student at the Department of Electrical and Computer Engineering at McGill University. I am working at Systems and Control Group, Center for Intelligent Machines (CIM). I am affiliated with Montreal Institute of Learning Algorithms (MILA). I am supervised by Professor Aditya Mahajan and co-supervised by Professor Jerome Le Ny.
I completed my Master's degree in Electrical and Computer Engineering from McGill University and my undergraduate degree in Electrical and Electronic Engineering from Islamic University of Technology. After completing my undergraduate studies, I worked as a Research Engineer at the Department of Biomedical Physics and Technology University of Dhaka, Bangladesh under the supervision of Professor Siddique-e-Rabbani.
Research Interest
I am primarily interested in using Machine Learning algorithms for achieving optimal control for multi-agent systems. My research is therefore at the intersection of Reinforcement Learning and Control Systems for intelligent control applications. I work on control sharing in human automation team problems.
Education
Master of Engineering
McGill University 2017-2019
Thesis: Learning in the presence of partial observability and concept drifts. Supervisor: Aditya Mahajan.
Bachelor of Science
Islamic University of Technology(IUT) 2011-2015
Thesis: Classification of Benign and Malignant Tissue with Logistic Regression using Dynamic Sigmoid Function .Awards and Honors
- McGill Engineering Doctoral Award(MEDA) (2019-2022).
- GERAD co-supervised student award (2019).
- Mitacs Accelerate Fellowship (2018).
- Recepient of Graduate Excellence Fellowship at McGill (2017,2018,2021).
- Member of the winning team of Brac Manthan Award for e health catagory (2016).
- OIC scholarship (for academic excellence in university entrance examination) (2011).
- Recipient of the Daily Star Award for academic excellence in O and A levels (2011).
Publications
- Raihan Seraj, Jivitesh Sharma and Ole-Christoffer Granmo "Tsetlin Machine for Solving Contextual Bandit Problems". In 36th Conference on Neural Information Processing Systems (NeurIPS). [pdf]
- Raihan Seraj, Jerome Le Ny and Aditya Mahajan "Mean-field approximation for large-population beauty-contest games". In 2021 IEEE 60th Conference on Decision and Control (CDC).[pdf]
- Jayakumar Subramanian, Amit Sinha, Raihan Seraj and Aditya Mahajan. "Approximate information state for approximate planning and reinforcement learning in partially observed systems." Journal of Machine Learning Research (JMLR).[pdf]
- Jayakumar Subramanian, Raihan Seraj and Aditya Mahajan ”Reinforcement learning for mean-field teams” AAMAS Workshop on Adaptive and Learning Agents, Montreal, Canada, 13-17 May, 2019. [pdf]
- Riashat Islam, Raihan Seraj, Pierre-Luc Bacon, Doina Precup. “Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods”, NeurIPS 2019 workshop on Optimization Foundations for Reinforcement Learning. [pdf]
- Riashat Islam, Raihan Seraj, Samin Yeasar Arnob, Doina Precup. “Doubly Robust Off-Policy Actor Critic Algorithms for Reinforcement Learning”, NeurIPS 2019 workshop on Safety and Robustness in Decision Making. [pdf]
- Raihan Seraj, Mohiuddin Ahmed ”Concept drifts for big data”, Combating Security Challenges in the Age of Big Data - Powered by State-of-theArt Artificial Intelligence Techniques, Springer.[pdf]
- Ahmed, Mohiuddin, Raihan Seraj, and Syed Mohammed Shamsul Islam. "The k-means algorithm: A comprehensive survey and performance evaluation." Electronics 9.8 (2020): 1295.[pdf]
News
- 05-June-2024 I have successfully completed my PhD research seminar examination.
- 14-Sep-2022 Paper titled "Tsetlin Machine for Solving Contextual Bandit Problems" got accepted at Neural Information Processing Systems (NeurIPS) 2022.
- 9-Sept-2021 Successfully completed my PhD thesis proposal examination.
- 1-Jul-2021 Joined Valence Drug Discovery for Scientist in Residence Program.
- 27-Jul-2021 Paper titled "Mean-field approximation for large-population beauty-contest games" got accepted at IEEE Conference on Decision and Control (CDC) 2021.
- 1-Aug-2021 Paper titled "Approximate information state for approximate planning and reinforcement learning" got accepted at Journal of Machine Learning Research (JMLR).
- 24-Feb-2020 Successfully completed my PhD comprehensive examination.
- 1-Jan-2019 Started my PhD at the department of Electrical and Computer Engineering.
- 31-Dec-2018 Successfully completed my Masters degree from the department of Electrical and Computer Engineering.
- 1-Mar-2018 Joined Aerial Technologies as a Research Scientist Intern.
- 1-Jan-2017 Started graduate school at the department of Electrical and Computer Engineering, McGill Univeristy.
- 31-Dec-2015 Started a job as a Research Engineer at the Department of Biomedical Physics and Technology, University of Dhaka.
- 25-Dec-2015 Graduated with first class honors from the department of Electrical and Electronic Engineering, Islamic University of Technology.