Hi! Welcome to my website
Hello, I am a Master’s student at Christian-Albrechts-Universität zu Kiel (Kiel University) , Germany, pursuing Electrical and Information Engineering.
Currently, I’m working on my Master’s thesis on “Vision-Based Manipulation Policy Learning for Quadruped Robots in Partially Observable Environments” under the supervision of Prof. Dr. Sören Pirk and Prof. Dr. Petro Feketa.
My research interests include Embodied AI, Deep Reinforcement Learning, Robot Learning under Partial Observability, 3D Computer Vision and Spatial Representation Learning.
Along with my studies, I am working as a Research Assistant (HiWi) in the Bio-Inspired Computation group at CAU Kiel, led by Prof. Dr. Jan Steinkühler. My work mainly involves training and developing machine learning pipelines for protein yield prediction, and integrating pipetting robots into experimental workflows.
Recent News
Winner of the VDE Machine Learning Award Advanced Innovator 2026 category, for our project Automated Detection of Freezing of Gait in Parkinson’s Disease from Accelerometer Data
I began my master’s thesis on Embodied AI and Deep Reinforcement Learning
I have started working as a Research Assistant in the Bio-Inspired Computation group, CAU Kiel led by Prof. Dr. Jan Steinkühler
I have launched my own newsletter, where I curate my favorite reads, books, articles, research papers, podcasts, videos, foods and insights from my master’s Journey in Germany. [Link]
Relevant Coursework
Core and Elective Modules: Pattern Recognition and Machine Learning, Generative AI (Vision focused), Essential Numerical Methods, Swarm Communication and Navigation, Advanced Digital Signal Processing, Optimization and Optimal Control, Bio-inspired Information Pathways.
Seminar and Laboratory: Seminar on Generative Artificial Intelligence, Laboratory Real-time Signal Processing [Time Series Prediction of Handovers for Maritime Autonomous Vehicles using Machine Learning]
Independent Projects
Souvick Chakraborty, Dr. Robbin Romijnders
