Current PhD Students

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• Baban gain(PMRF)
• Dibyanayan Bandyopadhyay(PMRF)
• Sandip Kumar(PMRF)
• Kshitij Misra (PMRF)
• Arpan Phukan(Institute Fellow of IIT Patna)
• Priyanshu Priya(DST-INSPIRE Fellow)
• Ratnesh Joshi (UGC NET)
• Arindam Chatterjee (Vivesvaraya Part-time)
• Soumyajit Nag Choudhury (Part-time)

PhD Thesis Guided (submitted/degree awarded)

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1. Gitanjali Kumari (2024), Unveiling Multimodal Cues and Biases in Internet Memes
2. Divya Kumari (2024), Enhancing Domain-Specific Knowledge Preservation in Low-resource Neural Machine Translation
3. Mamta (2024), Advancing Sentiment Analysis: From Diverse Domains to Multilinguality and Robustness
4. Prashant Kapil (2024), Unmasking Toxicity: Harnessing AI for Hate Speech Detection in Social Media Landscapes
5. Komal Gupta (2024), Constructing and Leveraging Knowledge Graphs for NLP Tasks in Scientific Domain
6. Aizan Zafar (2024), Enhancing Medical Consultations with Knowledge Grounded Question-Answering and Dialogue Generation
7. Gopendra Vikram Singh (2023), Investigation in Multimodal Emotion Analysis
8. Tanik Saikh (2023), Leveraging Textual Entailment for Fake News Detection and Question Answering
9. Soumitra Ghosh (2023), Affective Analysis of Distress, Offensive Content and Personality
10. Deeksha Varshney (2023), Enhancing Dialogue Generation Models via Multi-Source Heterogeneous Information
11. Zishan Ahmad (2023), Style, Sentiment, Knowledge and Persona Controlled Text Generation
12. Dushyant Singh Chauhan (2023), Towards Multimodal Affective Computing (2023)
13. Kamal Gupta (2022), Neural Machine Translation in Low Resource and Noisy Settings
14. Prabhat Bharti (2023), Exploring Artificial Intelligence Techniques for Peer Review and Establishing a Research Lineage
15. Rina Kumari (2022), Investigations into Affect and Novelty Aware Misinformation Detection (2022)
16. Mauzama Firdaus (2021), Dialogue Understanding and Generation Inducing Affective and Multimodal Knowledge
17. Tirthankar Ghosal (2021), Studies In Aspects of Peer Review: Novelty, Scope, Research Lineage, Review Significance, and Peer Review Outcome
18. Sukanta Sen (2021), Low Resource Neural Machine Translation Through Multilinguality and Data Augmentation
19. Sabyasachi Kamila (2021), Predicting Temporal Orientation from Texts
20. Smita Roy (2019), Data Mining in the Healthcare Arena: From Disease Diagnosis to Adverse Drug Identification
21. Amit Majumder (2021), Evolutionary Approach for Biomedical Event Extraction and Word Sense Disambiguation (Jadavpur University)
22. Deepak Gupta (2020), Learning to Answer Multilingual and Code-Mixed Questions (IITP)
23. Shad Akhtar (2019), Investigations in Aspect based Sentiment Analysis
24. Shweta Yadav (2019), Text Mining in Biomedical and Healthcare Domains
25. Utpal Skidar (2016), Evolutionary Approach for Entity Extraction and Anaphora Resolution
26. Abhay Kumar Alok (2016), Semi-Supervised Clustering in Multi-objective Optimization Framework)
27. Anup Kumar Kolya (2015), Identification of Time and Sentiment Features of Event and Analyzing the Temporal Relations (Jadavpur University)

MTech Thesis Guided

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Note: I have been fortunate to have worked with excellent students and project staffs. Any omission of credits is purely due to oversight.

1. Samrat Mukherjee (2023), Enhancing robustnes of Medical Deep Neural Networks using Universal Adversarial examples
2. Baban Gain (2023), Multimodal Neural Machine Translation (joint)
3. Dibyanayan Bandyopadhyay (2023), Attribute Controlled Neural Text Generation
4. Suman Saurabh (2023), Integrative Reward Based Negotiation Agent for Online Marketplace
5. Anubhav Sinha (2023), Unveiling Bias in Digital Content: Detection and Mitigation of Biases in Political Memes
6. Shukla Aditya Manishbhai (2022), Exploring Knowledge Grounding for Personalized Dialogue Generation
7. Tanisha (2022), Empathy, Distress and Emotion-aware Multitask Framework for Personality Detection
8. Vipin Gupta (2022), Emotion and Novelty aware Multilingual Multimodal Misinformation Detection
9. Prerna Prem (2021), Unknown Intent Detection using Multi-Objective Optimization on Deep Learning Classifiers
10. Aseem Arora (2021), Investigating Multimodal Aspect based Sentiment Analysis
11. Sandeep Kumar (2021), Artificial Intelligence Assisted Dataset Discovery and Review Analysis of Scientific publications
12. Nidhi Thakur (2020), Aspect-aware Response Generation for Multimodal Dialogue System
13. Pranati Behera (2020), Sentiment Analysis Of Memes
14. Sekhar Suman (2020), Fine-grained Emotion Recognition in Suicide Notes
15. Suyash Sangwan (2019), Assessing the Challenges of Multimodal Sentiment, Emotion and Sarcasm Detection
16. Arjun Roy (2019), Fake News Detection
17. Swati Suman (2019), Hierarchical Deep Neural Multimodal Network with Question-Type Segregation Module to Enhance VQA-Med
18. Saumajit Saha (2019), Event Extraction in Disaster Domain for Low-resource Languages
19. Kumar Shikhar Deep (2019), A Computational Approach to Detect Emotions and Sentiments in Affective Language
20. Ankit Kumar (2019), Multitask and Multilingual Models For Spoken Language Understanding
21. Deepshika (2018), Machine Learning Approaches for Hate Speech and Offensive Language Detection
22. Harsimran Bedi (2018), Approximating Aggregate Product Review Scores from Heterogeneous Web Sources
23. Surabhi Kumari (2018), Multi-faceted Question-Answering
24. Dhanachandra Ningthoujam (2018), Data-driven based Dependency Parser for clinical text and its application in clinical relation extraction
25. Kingshuk Basak (2018), Textual Entailment and its Application in News Title-Body Consistency Detection and Fake News Detection using Deep Learning
26. Vikram Singh (2017), Rumor Detection in Social Media
27. Nilamadhava Mohapatra (2017), Time and Corpus Aware Entity Recommendation
28. Dipwaesh Pawar (2016), Building Tempo-HindiWordNet: A Resource for Temporal information access
29. Vartika Tewari (2016), Deep Learning Approach for Automatic Email Classification
30. Amit Kumar (2016), Multiobjective Optimization for Aspect based Sentiment Analysis
31. Ritesh Prasad (2015), Aspect Analysis of Product Reviews
32. Ambarish Jadav (2015), Evolutionary Optimization and Unsupervised Lexical Acquisition for Bio-text Mining
33. Satyam Tiwari (2015), Supervised Machine learning Approach for Disease Mention Recognition
34. Arif Khan (2015), Twitter Mining using Machine Learning Optimization
35. Deepak Gupta (2015), Supervised Approach for Aspect based Sentiment Analysis and Query Word Labelling
36. K. Ravikumar (2014), Multi-Objective Optimization for Clustering of Medical Publications
37. Govind (2014), Multiobjective Optimization and Unsupervised Lexical Acquisition for Named Entity Recognition and Classification
38. Dhruv Gupta (2014), Carbon Dating for Information Retrieval

BTech Students

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Note: I have been fortunate to have worked with excellent students and project staffs. Any omission of credits is purely due to oversight.

Current Project Staffs

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1. Mr. Palash Gupta (Program manager)
2. Dr. Gunjan Shree (Liaison Officer)
3. Mr. Boynao Kshetrimayum (SRA Technical)
4. Dr. Saroj Kumar Jha (SRA Language)
5. Mr. Paritosh Pandey (JRA Technical)
6. Dr. Deepak Kumar (JRA Technical)
7. Mr. Soham Bhattacharjee (JRA Technical)
8. Mrs. Sauravi Haldar (JRA Language)
9. Mrs. Saloka Sengupta (JRA Language)
10. Ms. Nitika Gupta (JRA Language)
11. Ms. Anansa Roy (JRA Language)
12. Dr. Vinit Lal Das (JRA Language)
13. Dr. Promid Kumar Singh (JRA Language)
14. Mr. Bigyan Ranjan Das (JRA Language)
15. Mrs. Nupur Datta (JRA Language)
16. Mr. Ayodhyya Murmu (JRA Language)
17. Mr. Sushil Mandi (JRA Language)
18. Mr. Rachit Ranjan (SRF)