You can reach the principal investigator for collaboration or consultancy through:
email: sbej7042@iisertvm.ac.in
phone: +91 (0)471 - 2778342
Saptarshi Bej acquired his master’s degree at IISER-Kolkata in Mathematics, with a specialization in graph theory. He worked as a research assistant briefly at the University of Paderborn, Germany. Later, he joined the Systems Biology and Bioinformatics group at the University of Rostock, Germany, in January 2018, where he worked alongside Prof. Olaf Wolkenhauer for five years. There he did research on Machine Learning (ML) and its diverse applications in clinical and bio-medical fields. He won the DAAD prize awarded (to international students with exceptional academic records) by the University of Rostock in 2020 and obtained his doctoral degree from the University of Rostock, Germany, in January 2022. He is currently focusing on developing machine learning algorithms for node representation learning, missing data imputation, anomaly detection, short multivariate time series classification etc. while occasionally exploring their applications in biomedical problems.
Year: 2024-
Topic: Fast node embedding generation using linear modularity gradinet approximation
Our lab primarily hosts Master’s students from the School of Data Science at IISER Thiruvananthapuram. While many students carry out their research projects within the IDEA Lab, some also pursue projects under external supervisors, with local academic guidance and mentorship provided by Dr. Saptarshi Bej.
Year: 2025-26
Topic: Uncertainty indicators and their impact on market volatility (externally supervised)
Year: 2025-26
Topic: Simulating resilience in satellite systems with reinforcement learning (externally supervised)
Year: 2025-26
Topic: Developing SADP: a novel local, fast, bio-inspired learning paradigm for SNNs
Year: 2024-25
Topic: Synthetic data generation for imbalanced data classification
Joined an intern in Charles University
Year: 2024-25
Topic: RAG system for LLM assisted retrieval of chemical reactions (externally supervised)
Joined as a Data Scientist at Anumana
Year: 2024-25
Topic: Pre-ictal EEG signal classification for Neo-Natal Epilepsy patients
Joined as content head at Ganitzone
Year: 2023-24
Topic: Patient Stratification using Feature-Distributed Clustering