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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!!

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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!

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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!

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On Summer/Winter Internship Requests

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.

Calendar

Please make an appointment based on my availability below

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

Recent Publications

More Publications

. LCM: A Surprisingly Effective Framework for Supervised Cross-modal Retrieval (to appear). Proc. of the ACM India Joint International Conference on Data Sciences and Management of Data (CoDS-COMAD) 2022 (10th ACM iKDD CoDS and 28th COMAD), 2023.

. Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases (to appear). Proc. of the ACM India Joint International Conference on Data Sciences and Management of Data (CoDS-COMAD) 2022 (10th ACM iKDD CoDS and 28th COMAD), 2023.

. Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes (to appear). ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2022.

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. ProActive: Self-Attentive Temporal Point Process Flows for Activity Sequences. Proc. of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2022.

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. New wine in an old bottle: Data-aware hash functions for Bloom filters. PVLDB, 2022.

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Courses

COL 100 - Introduction to Computer Science (2021-22 Sem 2)

Introduction to CS with Programming in Python

COL 764 - Information Retrieval and Web Search (2021-22 Sem 1)

Understand and implement large-scale search systems effectively and efficiently

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

Projects

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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

Students

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Current

Ph.D.

M.S(Research)

  • Harsh Pandey (IITD) – jointly with Amitabha Bagchi
  • Sai Kandregula (IITD) – jointly with Sayan Ranu
  • Shivangi Bithel (IITD)
  • Prachi (IITD)

M.Tech./Dual

  • Rohan Debbarma (IITD) & Pratik Prawar (IITD) - Legal Informatics – jointly with Abhijnan Chakraborty
  • Nishant Kumar (IITD) & Prateek Chaudhary (IITD) - Word Embeddings

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