Thommen George Karimpanal
Research Fellow, Applied Artificial Intelligence Institute
Supervision:
PhD students:
Laknath Buddhika Semage: Reinforcement learning for physics-based tasks (Nov 2019-?)
Manisha Senadeera: Empathetic reinforcement learning (Oct 2020-?)
Kishan Reddy Nagidrella: Reinforcement learning for changing environment configurations (Nov 2021-?)
Maxence Hussonnois: Diverse and focused skill learning (Mar 2022-?)
Ajsal Shereef: Explainable reinforcement learning for suboptimal human behaviors (Jun 2022-?)
Bachelors Honors students:
Duc Minh La: Explainable reinforcement learning for real world robotics applications (Mar-Nov 2021)
Interns:
Samuel Alexander: Cartpole system design, Duckietown multirobot environments (Oct 2019 -Apr 2021)
Surya Palaniswamy: Turtlebot robots for indoor navigation (Feb-Jul 2020)
Tips & Templates
Teaching:
SIT723: Research Training and Project at Deakin University (Mar-Sep, 2021):
Bachelors honors project course, where I guided Mr. Duc Minh La on topics related to reinforcement learning, culminating in the formulation of a research problem, which was the focus in the next trimester.
SIT724: Research Project at Deakin University (Sep-Nov, 2021):
Research project course for bachelors honors students, where I supervised Mr. Duc Minh La on the project: Explainable reinforcement learning for real world robotics applications.
30.501: Modeling of Multi-energy systems at Singapore University of Technology and Design (Sept-Dec, 2014):
Graduate level course, where I taught (including preparing lecture notes, slides, delivery of lectures, assignments, tests and grading) the sections on Bond Graph Modeling.
1.400 Capstone at Singapore University of Technology and Design (Jan-Aug, 2016):
2 Term multidisciplinary undergraduate course that I co-taught with Dr. Bige Tuncer. My duties included mentoring and managing 7 multidisciplinary projects, co-funded by various industry partners. I was awarded the Graduate teaching excellence award in 2017 for my efforts in this course.
