Vinayak graduated with flying colors! His thesis was highly rated by all reviewers who gave it an ``award quality”. He (remotely) defended the thesis from U Washington where he is doing his post-doc with Tim Althoff.
I am a professor and DS Chair Professor of Artificial Intelligence at the Department of Computer Science and Engineering at IIT Delhi. I hold a joint appointment with the YScAI - Yardi School of Artificial Intelligence and currently head the Amar Nath and Shashi Khosla School of Information Technology.
I have previously worked as a research scientist at IBM Research as part of their AI Research team, as a faculty member at IIIT Delhi, and senior researcher at the Max-Planck Institute for Informatics (MPII) with Gerhard Weikum. My PhD (2005) was from the Indian Institute of Science where I worked with Jayant Haritsa.
PhD, 1998-2005
IISc
BE, 1991-1995
Bangalore University
Vinayak graduated with flying colors! His thesis was highly rated by all reviewers who gave it an ``award quality”. He (remotely) defended the thesis from U Washington where he is doing his post-doc with Tim Althoff.
After waiting what seemed like an eternity (it was just 2 days due to delayed notifications), we got acceptance notifications for both of our submissions. Work led by wonderful Ph.D. students, Vinayak Gupta and Shubham Gupta!!
Garima Gaur, my second Ph.D. student, advised jointly with Arnab Bhattacharya at IITK, successfully defended her thesis titled Provenance-Aware Computation and Maintenance of Graph Query Results under Dynamic Knowledge Graphs. Congratulations, Dr. Gaur!
I am NOT offering any short-term projects for internships and I do not have the bandwidth to respond to requests about summer or winter internships. If you are interested in working with me, I recommend you apply for a short-term employment in one of my projects, or join the B.Tech./M.Tech./Ph.D. programs in IIT-Delhi.
Please make an appointment based on my availability below
Working Hours: 9:30AM - 12:30PM; 2:00PM - 5:30PM
Understand and implement large-scale search systems effectively and efficiently
Explore recent developments in Data Wrangling for Data Science
Understand and implement large-scale search systems effectively and efficiently
Focus on Tabular and Multimodal Data
Introduction to CS with Programming in Python
Understand and implement large-scale search systems effectively and efficiently
Advanced Information Retrieval
Understand and implement large-scale text search systems effectively and efficiently
Datastructures and algorithms using Java.
Focus on Information Retrieval
Focus on Knowledge Graph Management and IR
Focus on Information Retrieval
Scalable Multi-modal Indexing in Multi-model DBs
Neuro-Symbolic Information Systems
Building Platforms for Privacy-preserving and Aggregated Analysis of Media