Students

Current PhD Students

  1. Baban gain(PMRF)
  2. Dibyanayan Bandyopadhyay(PMRF)
  3. Sandip Kumar(PMRF)
  4. Kshitij Misra (PMRF)
  5. Arpan Phukan(Institute Fellow of IIT Patna)
  6. Priyanshu Priya(DST-INSPIRE Fellow)
  7. Ratnesh Joshi (UGC NET)
  8. Arindam Chatterjee (Vivesvaraya Part-time)
  9. Soumyajit Nag Choudhury (Part-time)

PhD Thesis Guided (submitted/degree awarded)

  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

  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

  1. Mr. Sachin Girdhar - 2012-13
  2. Mr. Kasha Ravi - 2012-13
  3. C.V.N.K. Chaitanya - 2012-13
  4. Mr. Dhirendra Singh - 2012-13
  5. Mr. Gaurav Choudhary - 2012-13
  6. Mr. Vishwaraj Anand - 2013-14
  7. Mr. Arundeep Kamboj - 2013-14
  8. Mr. Pradhuman Singh - 2013-14
  9. Mr. Gaurav Parihar - 2013-14
  10. Mr. Abhishek Kumar - 2013-14
  11. A. Siddharth - 2014-15
  12. Ch. Krishna Prasad - 2014-15
  13. Chaitanya Kansal - 2014-15
  14. Gurveer Singh Pahuja - 2014-15
  15. Nishant Mahajan - 2014-15
  16. Raja Selvarajan - 2014-15
  17. Manish Garg - 2015-16
  18. Kadula Srikanth Reddy - 2015-16
  19. Vamsi Krishna - 2015-16
  20. Achintya Bhatnagar - 2015-16
  21. Shubham Kumar - 2016-17
  22. Ayush Kumar - 2016-17
  23. Hukami Meena - 2016-17
  24. Ranat Ghosh - 2016-17
  25. Anwesh Sinha Roy - 2016-17
  26. Ankit Lamba - 2017-18
  27. Abhishek Kumar - 2018-19
  28. Alan Aipe - 2018-19
  29. Raghu - 2018-19
  30. Uday Bora - 2018-19
  31. Vishal Solanki - 2018-19
  32. Vignesh Edithal - 2018-19
  33. Pralay Ramteke - 2018-19
  34. Hitesh Golcha - 2019-20
  35. Bora Raghu Ram Reddy - 2019-20
  36. Tarun Garg - 2019-20
  37. Raghav Jindal - 2019-20
  38. Shinku - 2019-20
  39. Abhishek Kumar - 2019-20
  40. Ayush Sharma - 2019-20
  41. Amit Priynkar - 2020-21
  42. Ankit Kumar - 2020-21
  43. Boppana Dhanvanth - 2020-21
  44. Shreyash Vilas Gedkar - 2020-21
  45. Rizwan Khan - 2020-21
  46. Vrushank V. Varma - 2020-21
  47. Umang Jain - 2020-21
  48. Vinnakota Sujeeth - 2020-21
  49. Suman Shekhar - 2020-21
  50. Naveen T - 2020-21
  51. Dhanush S.R. - 2020-21
  52. Mukuntha N.S. - 2020-21
  53. Rajeev Kumar - 2020-21
  54. Dinesh Gaur - 2020-21
  55. Biswas Tameesh - 2020-21
  56. M. Sahruday Reddy - 2020-21

Current Project Staff

  1. Dr. Saroj Kumar Jha - Research Associate - IIT Patna
  2. Dr. Anubhav Tripathi - Research Associate - IIT Patna
  3. Soham Bhattacharjee - Senior Resaerch Fellow - IIT Patna

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