Current
Ph.D.
- Shubham Gupta (IITD)
- Nishtha Madaan (IITD)
- Rajat Singh (IITD)
- Prerna Agrawal (IITD)
- Rohit Katariya (IITD)
M.S(Research)
- Ankit Mazumdar (IITD)
- Harsh Pandey (IITD) – jointly with Amitabha Bagchi
- Sai Kandregula (IITD) – jointly with Sayan Ranu
- Shivangi Bithel (IITD)
- Prachi (IITD)
M.Tech./Dual
- Nishant Kumar (IITD) - Drift in Word Embeddings
B.Tech.
- Ravi Teja Kurisetti (IITD) - Knowledge Graph Embeddings
Graduated
Ph.D.
- Arindam Bhattacharya co-advised with Amitabha Bagchi (IITD, Sept. 2023) Scalable Methods for Learning Practical Data-Aware Bloom Filters (now employed at Amazon, India)
- Vinayak Gupta (IIT-D, April 2023) MODELING TIME-SERIES AND SPATIAL DATA FOR RECOMMENDATIONS AND OTHER APPLICATIONS (now a post-doc at University of Washington, USA)
- Ankita Likyani (IIIT-D, Jan. 2022) User Interest and Influence Mining in Location-based Social Networks (now employed at Ericsson Research, India)
- Garima Gaur co-advised with Arnab Bhattacharya (IIT-K, Sept. 2021) Provenance-Aware Computation and Maintenance of Graph Query Results under Dynamic Knowledge Graphs (now post-doc at IIT Delhi, India)
- Jyoti Leeka (IIIT-Delhi, Dec. 2018) Indexing and Query Processing in RDF Quad-Stores (first employment with Microsoft Research)
- Stephan Seufert jointly supervised with Gerhard Weikum (MPI-Informatics, May 2015) Algorithmic Building Blocks for Relationship Analysis over Large Graphs (first employment with Amazon Research, Germany)
- Klaus Berberich (MPI-Informatics, 2010) jointly supervised with Gerhard Weikum Temporal Search in Web Archives (now at HTW Saar, Saarbrücken, Germany)
Masters / Dual
2023
- Rohan Debbarma (IITD) & Pratik Prawar (IITD) - Legal Informatics – jointly with Abhijnan Chakraborty
2022
- Ritvik Vij (IITD) - Deep Temporal Point Processes for Pollution-level Prediction in Delhi
- Dwijesh Gohil (IITD) - DeepSRLCH for Multi-modal Retrieval
2021
- Aniket Kumar (IITD) - Fair@Trec
- Kartik Jain and Komal Chauhan (IITD) - co-advising with Amitabha Bagchi and Sayan Ranu
2020
- Siddhant Arora Learning Embeddings of Relational Databases
- Harsimrat Singh Learnt Bloom Filters jointly supervised with Amitabha Bagchi
- Saransh Goyal Procedure Extraction jointly supervised with Maya Ramanath
2019
- Udayin Biswas & Ayush Gupta Extracting Higher-arity Relations
- Ashley Jain Building a News Analytics Platform
- Sarisht Wadhwa Graph Reachability Problems (jointly with Amitabha Bagchi and Sayan Ranu)
2018
- Jyoti (MTP1) Analysing User Embeddings on Online Social Data jointly supervised with Amitabha Bagchi
- Siddhanth Arora (Dual Degree Mini Proj) Learning Embeddings of Relational Databases
2014
- Kanchan Arora Semantic Similarity of Text-snippets through Hierarchical Abstraction of Knowledge
- Amani Kongara TeKnowBase: a Tool for Enriching Textbooks with Discussion Forum Content
2013
- Ankita Likhyani Label Constrained Shortest Path Estimation
Undergrads
| Year | Name | Thesis/Project |
|---|---|---|
| 2022-23 | Prateek Chaudhary | Drift in Word Embeddings |
| 2019-20 | Parth Shah | Regular Path Embeddings and Modeling of Label Noise |
| 2019-20 | Akshat Khare | Learnt Bloom Filters (jointly with Amitabha Bagchi |
| 2019-20 | Divyanshu Saxena and Srijan Sinha | Ghost Indexing in Graph DB |
| 2019-20 | Manish Tanwar | Automating Data Visualization |
| 2019 | Siddhant Shingi and Akshay Nemi | Approximate Join Cardinality Estimation in Datalakes |
| 2018-19 | Rohit Raj and Madhur Singhal | Automating Data Visualization |
| 2018-19 | Aakash Agarwal and Akshay Gahlot | Twitter Analytics System (with Amitabh Bagchi and Sayan Ranu) |
| 2018 Sem 1 | Divgian Singh Sidhu | Incorporating Semantics in Knowledge Graphs |
| 2018 Sem 1 | Sarthak Mishra | WikiData SPARQL Log Analysis |