Current PhD Students

• Vipul Kumar Rathore (Co-advising with Parag Singla)
• Vishal Saley
• Kausik Hira (Co-advising with N.M. Anoop Krishnan)
• Aayush Kumar Tyagi (Co-advising with Prathosh A.P.)
• T Karthikeyan (Co-advising with Manish Gupta)
• Samrat Yadav (Co-advising with Indrajit Bhattacharya)

Current Masters Students

• Aryan Dua (Co-advising with Noha El-Zehiry)
• Prayushi Faldu (Co-advising with Indrajit Bhattacharya)
• Samrajnee Ghosh (Co-advising with Parag Singla)
• Hasan Mustafa (Co-advising with Noha El-Zehiry)
• Si Siddhant Raja (Co-advising with Srikanta Bedathur)

Current Undergrad Students

• Naman Agarwal (Co-advising with Parag Singla)
• Dhruv Ahlawat (Co-advising with N.M. Anoop Krishnan)
• Om Dehlan (Co-advising with Manish Gupta)
• Bhavesh Gurnani
• Hammad Malik (Co-advising with Parag Singla)
• Garv Nagori (Co-advising with Prathosh A.P.)

Previous Post-docs

• Dr. Navdeep Kaur (Co-advised with Parag Singla). Neuro-Symbolic Approaches for Knowledge Graph Completion (2023). The Alan Turing Institute,
• Prof. Niranjan Balasubramanian (Co-advised with Oren Etzioni and Stephen Soderland). Generating Coherent Event Schemas at Scale (2013). SUNY Stony Brook.

Graduated PhD Students

13. Dinesh Raghu. Generalisation of End-to-End Task-Oriented Dialog Systems to Unseen Knowledge (2024). IBM Research.
12. Yatin Nandwani (Co-advised with Parag Singla). Deep Learning with Output Space Constraints (2024). IBM Research.
11. Keshav Sai Kolluru (Co-advised with Soumen Chakrabarti). Neural Methods for Monolingual and Multilingual Open Information Extraction (2023). KnowDis, Inc.
10. Dr. Prachi Jain (Co-advised with Soumen Chakrabarti). Language, Structure, Time Aware Knowledge Base Completion (2022). Microsoft Research.
9. Dr. Danish Contractor (Co-advised with Parag Singla). QA for Tourism -- Answering Recommendation & Comparison Questions (2021). IBM Research.
8. Dr. Ankit Anand (Co-advised with Parag Singla). Symmetry Aware Inference and Decision Making in Probabilistic Models (2019). DeepMind Inc.
7. Dr. Jonathan Bragg (Co-advised with Dan Weld). Self-Improving Crowdsourcing: Near-Effortless Design of Adaptive Distributed Work (2018). Allen Institute for Artificial Intelligence.
6. Dr. Christopher H. Lin (Co-advised with Dan Weld). The Intelligent Management of Crowd-Powered Machine Learning (2017). Semantic Machines.
5. Dr. Janara Christensen. Towards Large Scale Summarization (2014). Google Inc.
4. Prof. Alan Ritter (Co-advised with Oren Etzioni). Extracting Knowledge from Twitter and The Web (2013). Georgia Tech University.
3. Dr. Andrey Kolobov (Co-advised with Dan Weld). Scalable Methods and Expressive Models for Planning Under Uncertainty (2013). Honorable mention for ICAPS 2014 Best Dissertation Award. Microsoft Research.
2. Dr. Thomas Lin (Co-advised with Oren Etzioni). Leveraging Knowledge Bases in Web Text Processing (2012). Microsoft Corporation
1. Dr. Peng Dai (Co-advised with Dan Weld). Decision Making under Uncertainty: Scalability and Applications (2011). Honorable mention for ICAPS 2012 Best Dissertation Award. JD Financial Group Inc.

Graduated MS/MTech Students

• Pranjal Aggarwal. Efficient Inference and Adaptive Computation in Large Language Models (2024). Graduate Student, Carnegie Mellon University.
• Dhruvil Sheth (Co-advised with N.M. Anoop Krishnan). Natural Language Processing enabled Composition Extraction from Text of Material Science Articles (2024). Info Edge India Ltd.
• Jigyasa Gupta (Co-advised with Rohan Paul). Interleaving Neural Predicate Inference with Classical Planning for Generalization in Robot Instruction Following (2023). Samsung R&D Institute.
• Daman Arora (Co-advised with Parag Singla). Learning Generalized Neural Policies for Relational Markov Decision Processes (2023). Microsoft Research.
• Aditya Mohan Mishra (Co-advised with Manish Gupta). Multimodal Persona Based Generation of Comic Dialogs (2023).
• Chirag Mohapatra (Co-advised with Prathosh AP). Incorporating Expert Insights for Multi-Class Cell Detection and Counting (2023). IITD-CSE Award for Best Hardcore Experimental Project. AlphaGrep Securities.
• Tanishq Gupta (Co-advised with N. M. Anoop Krishnan). Natural Language Processing enabled Composition Extraction from Materials Tables (2022). Tower Research Capital.
• Shreya Sharma (Co-advised with Rohan Paul). Neuro-symbolic Approach to Inferring Conjunctive Goal Predicates for Robot Instruction Following (2022). Suresh Chandra Memorial Award for best IITD-CSE M.Tech. Project. Graduate student, Carnegie Mellon University.
• Atishya Jain Constraint based Knowledge Base Distillation in End-to-End Task Oriented Dialogs (2021). Tower Research Capital.
• Mayank Singh Chauhan (Co-advised with Parag Singla). Knowledge Graph Completion: Extending to Open Graphs and Improving Trust via Post hoc Explanations (2021). Goldman Sachs.
• Nikhil Gupta. Knowledge Base Adaptation for Task Oriented Dialog Systems (2019). IITD-CSE Award for Best Hardcore Experimental Project. Co-founder, LimeChat.ai
• Gagan Madan (Co-advised with Parag Singla). Block Value Symmetries in Probabilistic Graphical Models (2018). IITD-CSE Award for Best Hardcore Experimental Project. Google Inc.
• Shivanshu Gupta. Neural Model for Question Answering on Wikipedia Tables (2018). Graduate student, University of California, Irvine.
• Bhavesh Sethi (Co-advised with Parag Singla). Medical Image Analysis using Deep Learning (2018). Google Inc.
• Tapas Jain (Co-advised with Parag Singla). Prost vs. OGA-UCT for Probabilistic Planning (2017). QE Securities.
• Swarnadeep Saha. Open IE 5.0 -- Open Information Extraction from Numerical Sentences and Conjunctive Sentences (2017). Suresh Chandra Memorial Award for best IITD-CSE M.Tech. Project. Graduate Student, University of North Carolina, Chapel Hill.
• Karan Goel. A Framework for Cost-Quality-Time Optimization in Crowdsourcing (2016). Graduate Student, Stanford University.
• Harinder Pal. Extraction from Compound Nouns and Numerical Expressions for Open IE (2016). Microsoft Corporation.
• Ajay Rathee (Co-advised with Jayadeva). Analysis of Minimal Complexity Machine and Compressive Sensing in Text Analytics (2016). Defense Research and Development Organisation.
• Madhur Gupta. Knowledge Concept Maps (2016). CitiBank.
• Dr. Sherjil Ozair. Domain Adaptation of Word Embeddings (2015). DeepMind, Inc. (PhD, University of Montreal).
• Aman Madaan (Co-advised with Ganesh Ramakrishnan and Sunita Sarawagi). Numerical Relation Extraction with Minimal Supervision (2015). Graduate Student, Carnegie Mellon University.
• Ashish Mittal (Co-advised with Ganesh Ramakrishnan and Sunita Sarawagi). Numerical Relation Extraction with Minimal Supervision (2015). IBM Research (Graduate student, IIT Bombay).
• Abhishek Yadav. An Open-IE based Approach for Knowledge-Base Population (2015). Visa Inc.
• Dan Butler. Talking about Data: Web Text Can Aid Causal Structure Learning (2014). Salk Institute.
• Melissa Winstanley. Exploring Sentence Partitioning for Multi-Paragraph Multi-Document Summarization (2013). Convoy Inc.
• Bo Qin (Co-advised with Stephen Soderland). Readability Classifier for Natural Language Text (2010).
• Dr. Jiun-Hung Chen (Co-advised with Dan Weld). Naive-Bayes POMDPs (2005). Amazon Inc.

Undergraduate Students Advised

• Aniruddha Deb (Co-advised with Parag Singla). Zero-Shot Cross Lingual Transfer to Low-Resource Languages via Self-Supervised Prompting (2024). Optiver B.V., Amsterdam.
• Vaibhav Mishra (Co-advised with Prathosh A.P.). Weak Supervision For Medical Segmentation and Villi Length Measurement from Keypoint Annotations (2024) Tower Research Capital, USA.
• Chinmay Mittal (Co-advised with Parag Singla). Large Language Models for NP-Hard Reasoning Problems (2024). Optiver Services B.V., Amsterdam.
• Goonjan Saha. Dialogue Dataset for Medical History Taking with Detailed Annotations (2024). Samsung Electronics.
• Riya Sawhney (Co-advised with Indrajit Bhattacharya). Robust Few-shot Transfer Learning for Knowledge Base Question Answering with Unanswerable Questions. Graviton Research Capital.
• Himanshu Wadhwa (Co-advised with Manish Gupta). Towards Multimodal Question Answering in Educational Domain (2024). Wells Fargo & Company.
• Harsh Agrawal (Co-advised with Manish Gupta). Multimodal Persona based Generation of Comic Dialogs (2023). Tower Research Capital, London.
• Apar Ahuja (Co-advised with Parag Singla). Size Invariance in Neural-ILP architectures (2023). Alphagrep Securities.
• Mustafa Chasmai (Co-advised with Rohan Paul). Integrated Symbolic Sub-Goal Prediction and Action Inference for Generalizable Robot Instruction following (2023). Graduate student, University of Massachusetts Amherst.
• Devanshi Khatsuriya (Co-advised with N. M. Anoop Krishnan). Information Extraction from Tables in Materials Science Articles (2023). Google, Inc.
• Ananjan Nandi (Co-advised with Parag Singla). Augmentation and Ensembling Techniques for Knowledge Graph Completion (2023). Graduate Student, Stanford University.
• Kanav Pruthi (Co-advised with Soumen Chakrabarti). Conversational Recommendation of Entities using Constrained Generation (2023). Quantitative Researcher, A.P.T Portfolio.
• Ishaan Singh. Neuro-Symbolic Temporal Knowledge Graph Completion (2023). Graviton Research Capital.
• Kartikeya Badola (Co-advised with Parag Singla). Multilingual Distantly Supervised Relation Extraction (2022). Google Research, India.
• Anand Brahmbhatt (Co-advised with Parag Singla). Towards a Fair and Calibrated Machine Learning Model (2022). Google Research, India.
• Tuhin Girinath (Co-advised with Pradeep Shenoy). Learning Interpretable Symbolic Representations by Using Human Policies (2022). Quadeye Securities.
• Suraj Joshi. Structural Constraints and Natural Language Inference for End-to-End Flowchart Grounded Dialog Response Generation (2022). Microsoft Corporation.
• Shubham Mittal (Co-advised with Soumen Chakrabarti). Multilingual Open Knowledge Base Completion (2022). Google, Inc.
• Rishabh Ranjan (Co-advised with Parag Singla). A Solver-free Framework for Scalable Learning in Neural ILP Architectures (2022). Suresh Chandra Memorial Award for best IITD-CSE B.Tech. Project. Research Associate, Carnegie Mellon University.
• Ananye Agrawal (Co-advised with Pradeep Shenoy). End-to-End Neuro-Symbolic Architecture for Image-to-Image Reasoning Tasks (2021). Suresh Chandra Memorial Award for best IITD-CSE B.Tech. Project. Graduate Student, Carnegie Mellon University.
• Abhyuday Bhartiya. A Multilingual Dataset for Distantly Supervised Relation Extraction (2021). Tower Research Capital.
• Nisarg Bhatt (Co-advised with Prathosh AP). Histopathological Image Analysis & Pretext Task Based Semi-supervised Learning (2021). AlphaGrep Securities.
• Vidit Jain (Co-advised with Parag Singla). Neural Models for Domain-Size Invariance in Lifted CSPs (2021). Microsoft Research.
• Pratheek D'Souza Rebello (Co-advised with Parag Singla). Unification of Weak Supervision (2021). AlphaGrep Securities.
• Harkanwar Singh (Co-advised with Soumen Chakrabarti). Multilingual Knowledge Graph Completion with Joint Relation and Entity Alignment (2021). Quadeye Securities.
• Samarth Aggarwal (Co-advised with Soumen Chakrabarti). Neural Architectures and Evaluation Protocols for Open Information Extraction (2020). Graduate student, University of Illinois Urbana-Champaign.
• Rajas Bansal (Co-advised with Rohan Paul). Human-Guided Acquisition of Commonsense Knowledge for Robot Task Execution: An Imitation Learning Approach (2020). Graduate Student, Stanford University.
• Sankalan Pal Chowdhury (Co-advised with Parag Singla, Prathosh AP). Masked Adversarial Auto-Encoder and An Analysis of LSTM Gradients (2020). Graviton Research Capital LLP.
• Sankalp Garg. Generalized Neural Policies for Relational MDPs (2020). Graduate student, Carnegie Mellon University.
• Shashank Goel (Co-advised with Parag Singla). Joint Spatio-Textual Reasoning for Answering Tourism Questions (2020). Graduate Student, University of California, Los Angeles.
• Ujjwal Gupta (Co-advised with Parag Singla). Open Knowledge Graphs for Improved Coverage in Multi-Document Extractive Summarization (2020). Google, Inc.
• Deepanshu Jindal (Co-advised with Parag Singla). Learning One-of-Many Solutions for Combinatorial Problems in Structured Output Spaces (2020). Tower Research Capital.
• Pratyush Maini. Analyzing the Learnability and Representability of Recurrent Architectures (2020) Graduate student, Carnegie Mellon University.
• Sushant Rathi (Co-advised with Soumen Chakrabarti). Temporal Knowledge Base Completion: New Algorithms and Evaluation Protocols (2020). Suresh Chandra Memorial Award for best IITD-CSE B.Tech. Project. Tower Research Capital.
• Shreshth Tuli (Co-advised with Rohan Paul). Human-Guided Acquisition of Commonsense Knowledge for Robot Task Execution: An Imitation Learning Approach (2020). Graduate Student, Imperial College London.
• Aman Agrawal (Co-advised with Parag Singla). Explaining Knowledge Base Inferences (2019). Google, Inc.
• Ankesh Gupta (Co-advised with Parag Singla). Explaining Knowledge Base Inferences (2019). Tower Research Capital.
• Sangnie Bhardwaj. A Crowdsourced Benchmark for Open IE (2019). AI Resident, Google, Inc.
• Mukund Mundhra (Co-advised with Soumen Chakrabarti). Explorations in Knowledge Base Inference (2019). Graduate Student, University of California, Los Angeles.
• Abhishek Pathak (Co-advised with Parag Singla). Primal-Dual Formulation for Deep Learning with Constraints (2019). Graduate Student, Carnegie Mellon University.
• Krunal Shah (Co-advised with Parag Singla). Question Answering on Recommendation Questions (2019). Graduate Student, University of Pennsylvania.
• Aniket Bajpai. Transfer of Deep Reactive Policies for MDP Planning (2018). Co-founder, Konscience.
• Pankaj Kumar (Co-advised with Soumen Chakrabarti). Type-Sensitive Knowledge Base Inference Without Explicit Type Supervision (2018). Rubrik, Inc.
• Sansiddh Jain (Co-advised with Nomesh Bolia). Data Driven Legal Reforms (2018). Wadhwani AI.
• Mayank Sharan (Co-advised with Nomesh Bolia). Analysis of Indian Legal Dataset (2018). Graduate Student, University of California, San Diego.
• Aditi Partap (Co-advised with Parag Singla). Deep Learning for Recommendation Question Answering (2018). Graduate Student, Stanford University.
• Haroun Habeeb (Co-advised with Parag Singla). Coarse to Fine Lifted MAP Inference for Computer Vision (2017). IITD-CSE Award for Best Hardcore Experimental Project. Facebook Inc. (M.S., University of Illinois at Urbana-Champaign).
• Surag Nair. Periodic Event Extraction from Unstructured Text (2017). Graduate Student, Stanford University.
• Barun Patra (Co-advised with Parag Singla). Understanding And Answering Multi-sentence Recommendation Questions on Tourism (2017). Suresh Chandra Memorial Award for best IITD-CSE B.Tech. Project. Microsoft Inc. (M.S., Carnegie Mellon University).
• J. Shikhar Murty (Co-advised with Soumen Chakrabarti). Inference over Knowledge Bases (2017). Graduate Student, Stanford University.
• Poojan Mehta (Co-advised with Parag Singla). Novel Query Representation of Travel-related Forum Questions (2016). Delvega Capital, Inc.
• Dr. Ritesh Noothigattu (Co-advised with Parag Singla). On-The-Go Abstractions in UCT for MDP Planning (2016). Suresh Chandra Memorial Award for best IITD-CSE B.Tech. Project. Hudson River Trading Inc. (Ph.D., Carnegie Mellon University).
• Shreya Rajpal. A Framework for Cost-Quality-Time Optimization in Crowdsourcing (2016). Apple, Inc. (M.S., University of Illinois at Urbana-Champaign).
• Prof. Aditya Grover (Co-advised with Parag Singla). A Unified Abstraction Framework for Sequential Decision Making (2015). IITD-CSE Award for Best Hardcore Experimental Project. University of California, Los Angeles (PhD, Stanford University).
• Gagan Bansal. Multi-paragraph Summarization (2015). Graduate Student, University of Washington, Seattle.
• Shashank Jain. Value of Contribution in Micro-Crowdsourcing (2015). Google Inc.
• Benjamin Sidhom. Student Modeling in Educational Environments (2013). DataBricks, Inc.
• Ryan Oman. Integrating Coreference Resolution with ReVerb/R2A2 (2011). Forward, Inc.
• Brendan Roof (Co-advised with Stephen Soderland). Finding and Applying Relational Nouns (2010). Allen Institute for Artificial Intelligence.
• Benjamin Lee. Extending PanDictionary (2009). Google Inc.
• Michael Skinner (Co-advised with Stephen Soderland). Compiling a Panlingual Dictionary (2008). Founder, +364.

Previous Research Developers

• Harshvardhan Srivastava (Co-advised with Soumen Chakrabarti). Conversational Recommendation of Entities using Constrained Generation (2023). Graduate Student, Columbia University, New York.
• Rocktim Jyoti Das. Goal-oriented Dialog with Large Language Models (2023). Research Assistant, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE.
• Muqeeth Mohammed (Co-advised with Soumen Chakarbarti). Multilingual Open Information Extraction (2021). Graduate Student, University of North Carolina, Chapel Hill.
• Shantanu Agarwal. Flowchart Grounded Task Oriented Dialog (2021). Graduate Student, University of Massachusetts, Amherst.
• Vaibhav Adlakha (Co-advised with Srikanta Bedathur). Knowledge Base Inference for Regular Expression Queries (2020). Graduate Student, MILA, McGill University.
• Bhadra Mani. Speeding Up Open IE 4 (2015). Altruista Health.