Scholar
Sandeep Kumar
Google Scholar ID: lycMMW8AAAAJ
Indian Institute of Technology Delhi
Citations & Impact
Citations
667
H-index
13
i10-index
13
Publications
20
Co-authors
8
list available
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Multiple papers have been accepted to top conferences and journals such as TMLR 2025, ACM TKDD 2025, Computers and Biology Journal, AAAI 2025, IEEE Transactions on Signal Processing, ML4H, NeurIPS 2024, UAI 2024, and AAAI 2024.
Research Experience
- He supervises the Machine Intelligence Signals and Networks (MISN) Lab at IIT Delhi. The overarching theme of their research efforts lies in the coherent interaction between optimization, machine learning, signal processing, and graphical models. Specific problems of interest include: Graph Compression, Machine Learning over non-Euclidean Spaces, Fair Federated Personalized Graph Neural Networks, Applications of Graph ML in Earth science, Neuroscience, Wireless communication, and Circuit Design, AI for Tribal Languages.
Education
- Sandeep Kumar received his M.Tech and Ph.D. degrees from the Indian Institute of Technology (IIT), Kanpur, and completed his postdoc from the Hong Kong University of Science and Technology.
Background
- Sandeep Kumar is an associate professor in the Department of Electrical Engineering and School of Artificial Intelligence (ScAI) at the Indian Institute of Technology Delhi (IIT Delhi). He heads the Machine Intelligence Signals and Networks (MISN) lab at IIT Delhi. His research focuses on graphical models, manifolds, semi-supervised learning, and large-scale optimization.
Miscellany
- He has been involved in various outreach activities, more details can be found at https://aimlindustry.iitd.ac.in/.
