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Working Hours: 9:30AM - 12:30PM; 2:00PM - 5:30PM

Recent Publications

More Publications

. Fast One-class Classification using Class Boundary-preserving Random Projections. Proc. of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2021.


. Analyzing Topic Transitions in Text-based Social Cascades using Dual-Network Hawkes Process. Proc. of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2021.


. Learning Temporal Point Processes with Intermittent Observations. Proc. of the 24th International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.

PDF Code Slides

. Modeling Implicit Communities from Geo-tagged Event Traces using Spatio-Temporal Point Processes. Proc. of the 21st International Conference on Web Information Systems Engineering (WISE 2020), 2020.


. How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs. Proc. of the 29th ACM Intl. Conference on Information and Knowledge Management (CIKM), 2020.

Preprint Code Slides

. IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge. Proc. of the 2nd Conference on Automated Knowledge Base Construction (AKBC), 2020.

Preprint PDF Code Dataset Slides

. Knowledge Base Inference for Regular Expression Queries. CoRR, 2020.



COL 873 - Spl Topics in NLP (2020-21 Sem 2)

Advanced Information Retrieval

COL 764 - Information Retrieval and Web Search (2020-21 Sem 1)

Understand and implement large-scale text search systems effectively and efficiently

COL 106 - Datastructures and Algorithms (2019-20 Sem 2)

Datastructures and algorithms using Java.

COL 864 - Spl Topics in AI (2019-20 Sem 1)

Focus on Information Retrieval

COV 888 - Spl. Module in Database Systems (2018-19 Sem 2)

Focus on Knowledge Graph Management and IR

COL 864 - Spl Topics in AI (2018-19 Sem 1)

Focus on Information Retrieval

Recent Posts

More Posts

Despite its importance in many applications, anomaly detection using one-class classification techniques, is notorious for its inability to scale to large features and datasets. We offer FROCC family of one-class classification techniques that are super-fast (12x fast) and accurate (2 pp better than closest deep learning based method). Oh…it scales to millions of dimensions and training datasets easily!


I am co-organizing the second edition of the workshop on Data Quality Assessment (Data Readiness) @ KDD 2021


Excited to be co-chairing the first International Conference on AI-ML-Systems – targeting research in the intersection of AI/ML techniques and systems engineering.


Can we learn temporal models even with some missing observations? We offer an efficient neural point process named IMTPP in this paper, which can accurately predict next events in a temporal event stream.


Great start to 2021 – honored to be appointed the “DS Chair Professor of Artificial Intelligence”!




Multimodel-Multimodal Indexing (2020-- )

Scalable Multi-modal Indexing in Multi-model DBs

IBM-IITD AI Horizons Network (2019-- )

Neuro-Symbolic Information Systems

Social Media Analysis (2018-2021)

Building Platforms for Privacy-preserving and Aggregated Analysis of Media





Theses submitted


  • Sai Kandregula (IITD) - co-advising with Sayan Ranu
  • Shivangi Bithel (IITD)


  • Dwijesh Gohil (IITD) - Multi-modal
  • Ritvik Vij (IITD) - VizAI / Multi-modal
  • Aniket Kumar (IITD) - Fair@Trec
  • Kartik Jain and Komal Chauhan (IITD) - co-advising with Amitabha Bagchi and Sayan Ranu