INTELLIGENT DATA ENRICHMENT AND ANALYSIS

Teaching (recent courses)

Vasanth Semester 2023: Database Management Systems (partial)
Varsha Semester 2023: Artificial Intelligence

Takes on supervision

We value intent, sincerity, discipline, and persistence over every other quality
We strongly prefer long-term and in-person projects/associations/collaborations
The ideal end goal of our projects is a publication (or even more than one :))
We treat each other with empathy, trust, and professional respect
We communicate a lot

A glimpse of interactive teaching

A robot trying to solve a maze. A glimpse from the teaching material on Reinforcement learning. Above the robot is learning about the environment (exploration strategy). Below the robot has learned sufficiently about the environment to solve the maze (exploitation strategy).

Opportunities

Any student (BS-MS, PhD, or other) whose ideas resonate with the above-mentioned points, would be a suitable match for our team. Masters students who want to pursue a thesis with us, are encouraged to approach well in advance (six months is preferable) to ensure a quality thesis.

Experience in thesis supervision

Narek Davtayn (Master’s Thesis @University of Rostock) LoRAS: An oversampling approach for imbalanced datasets (Published work)
Krithika Sayar Chand (Master’s Thesis @University of Rostock) Advanced Image Analysis with Deep Learning
David Brauer (Master’s Thesis @University of Rostock) ML-Assisted construction of a Disease-Specific molecular Interaction Network from Human Blood RNA-Seq Data
Manjunath Mahendra (Master’s Thesis @University of Rostock) Convex-space learning in deep-generative models for synthetic data generation (work in progress)
Chaithra Umesh (Master's Thesis @University of Rostock) Development of a method for diverse feature types to improve patient stratification (in Press)
Siddharth G (Master's Thesis @IISER TVM) Ongoing

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