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Thommen George Karimpanal
Lecturer (Assistant Professor) at the School of IT, Deakin University, Australia
Supervision:
PhD students:
Laknath Buddhika Semage: Robust and Efficient Reinforcement Learning for Physics Tasks (Nov 2019-Jan 2023)
Manisha Senadeera*: Empathetic Reinforcement Learning (Oct 2020-)
Kishan Reddy Nagiredla*: Behaviour and Morphology Co-design of Reinforcement Learning Agents (Nov 2021-)
Maxence Hussonnois*: Discovery and Learning of Diverse and Aligned Skills (Mar 2022-)
Ajsal Shereef*: Personalised Alignment of Reinforcement Learning Policies (Jun 2022-)
Omar Mohamed*: Steering Large Language Models for Better Generalisation (Sep 2023-)
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)
* indicates current students
Tips & Templates
Teaching:
SIT788: Engineering AI Solutions at Deakin University (Mar-Jun, 2024):
SIT744/319: Deep Learning at Deakin University (Jun-Sep, 2024):
SIT723: Research Training and Project at Deakin University (Mar-Sep, 2021, Mar-Jun 2024):
SIT724: Research Project at Deakin University (Sep-Nov, 2021):
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.
End of year (2016) exhibition with one of the Capstone teams
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