Students
Current PhD Students
PhD Thesis Guided (submitted/degree awarded)
- Mamta (2024). Advancing Sentiment Analysis: From Diverse Domains to Multilinguality and Robustness
- Prashant Kapil (2024). Unmasking Toxicity: Harnessing AI for Hate Speech Detection in Social Media Landscapes
- Komal Gupta (2024). Constructing and Leveraging Knowledge Graphs for NLP Tasks in Scientific Domain
- Aizan Zafar (2024). Enhancing Medical Consultations with Knowledge Grounded Question-Answering and Dialogue Generation
- Gopendra Vikram Singh (2023). Investigation in Multimodal Emotion Analysis
- Tanik Saikh (2023). Leveraging Textual Entailment for Fake News Detection and Question Answering
- Soumitra Ghosh (2023). Affective Analysis of Distress, Offensive Content and Personality
- Deeksha Varshney (2023). Enhancing Dialogue Generation Models via Multi-Source Heterogeneous Information
- Zishan Ahmad (2023). Style, Sentiment, Knowledge and Persona Controlled Text Generation
- Dushyant Singh Chauhan (2023). Towards Multimodal Affective Computing (2023)
- Kamal Gupta (2022). Neural Machine Translation in Low Resource and Noisy Settings
- Prabhat Bharti (2023). Exploring Artificial Intelligence Techniques for Peer Review and Establishing a Research Lineage
- Rina Kumari (2022). Investigations into Affect and Novelty Aware Misinformation Detection (2022)
- Mauzama Firdaus (2021). Dialogue Understanding and Generation Inducing Affective and Multimodal Knowledge
- Tirthankar Ghosal (2021). Studies In Aspects of Peer Review: Novelty, Scope, Research Lineage, Review Significance, and Peer Review Outcome
- Sukanta Sen (2021). Low Resource Neural Machine Translation Through Multilinguality and Data Augmentation
- Sabyasachi Kamila (2021). Predicting Temporal Orientation from Texts
- Smita Roy (2019). Data Mining in the Healthcare Arena: From Disease Diagnosis to Adverse Drug Identification
- Amit Majumder (2021). Evolutionary Approach for Biomedical Event Extraction and Word Sense Disambiguation (Jadavpur University)
- Deepak Gupta (2020). Learning to Answer Multilingual and Code-Mixed Questions (IITP)
- Shad Akhtar (2019). Investigations in Aspect based Sentiment Analysis
- Shweta Yadav (2019). Text Mining in Biomedical and Healthcare Domains
- Utpal Skidar (2016). Evolutionary Approach for Entity Extraction and Anaphora Resolution
- Abhay Kumar Alok (2016). Semi-Supervised Clustering in Multi-objective Optimization Framework)
- Anup Kumar Kolya (2015). Identification of Time and Sentiment Features of Event and Analyzing the Temporal Relations (Jadavpur University)
MTech Thesis Guided
- Samrat Mukherjee (2023). Enhancing robustnes of Medical Deep Neural Networks using Universal Adversarial examples
- Baban Gain (2023). Multimodal Neural Machine Translation (joint)
- Dibyanayan Bandyopadhyay (2023). Attribute Controlled Neural Text Generation
- Suman Saurabh (2023). Integrative Reward Based Negotiation Agent for Online Marketplace
- Anubhav Sinha (2023). Unveiling Bias in Digital Content: Detection and Mitigation of Biases in Political Memes
- Shukla Aditya Manishbhai (2022). Exploring Knowledge Grounding for Personalized Dialogue Generation
- Tanisha (2022). Empathy, Distress and Emotion-aware Multitask Framework for Personality Detection
- Vipin Gupta (2022). Emotion and Novelty aware Multilingual Multimodal Misinformation Detection
- Prerna Prem (2021). Unknown Intent Detection using Multi-Objective Optimization on Deep Learning Classifiers
- Aseem Arora (2021). Investigating Multimodal Aspect based Sentiment Analysis
- Sandeep Kumar (2021). Artificial Intelligence Assisted Dataset Discovery and Review Analysis of Scientific publications
- Nidhi Thakur (2020). Aspect-aware Response Generation for Multimodal Dialogue System
- Pranati Behera (2020). Sentiment Analysis Of Memes
- Sekhar Suman (2020). Fine-grained Emotion Recognition in Suicide Notes
- Suyash Sangwan (2019). Assessing the Challenges of Multimodal Sentiment, Emotion and Sarcasm Detection
- Arjun Roy (2019). Fake News Detection
- Swati Suman (2019). Hierarchical Deep Neural Multimodal Network with Question-Type Segregation Module to Enhance VQA-Med
- Saumajit Saha (2019). Event Extraction in Disaster Domain for Low-resource Languages
- Kumar Shikhar Deep (2019). A Computational Approach to Detect Emotions and Sentiments in Affective Language
- Ankit Kumar (2019). Multitask and Multilingual Models For Spoken Language Understanding
- Deepshika (2018). Machine Learning Approaches for Hate Speech and Offensive Language Detection
- Harsimran Bedi (2018). Approximating Aggregate Product Review Scores from Heterogeneous Web Sources
- Surabhi Kumari (2018). Multi-faceted Question-Answering
- Dhanachandra Ningthoujam (2018). Data-driven based Dependency Parser for clinical text and its application in clinical relation extraction
- Kingshuk Basak (2018). Textual Entailment and its Application in News Title-Body Consistency Detection and Fake News Detection using Deep Learning
- Vikram Singh (2017). Rumor Detection in Social Media
- Nilamadhava Mohapatra (2017). Time and Corpus Aware Entity Recommendation
- Dipwaesh Pawar (2016). Building Tempo-HindiWordNet: A Resource for Temporal information access
- Vartika Tewari (2016). Deep Learning Approach for Automatic Email Classification
- Amit Kumar (2016). Multiobjective Optimization for Aspect based Sentiment Analysis
- Ritesh Prasad (2015). Aspect Analysis of Product Reviews
- Ambarish Jadav (2015). Evolutionary Optimization and Unsupervised Lexical Acquisition for Bio-text Mining
- Satyam Tiwari (2015). Supervised Machine learning Approach for Disease Mention Recognition
- Arif Khan (2015). Twitter Mining using Machine Learning Optimization
- Deepak Gupta (2015). Supervised Approach for Aspect based Sentiment Analysis and Query Word Labelling
- K. Ravikumar (2014). Multi-Objective Optimization for Clustering of Medical Publications
- Govind (2014). Multiobjective Optimization and Unsupervised Lexical Acquisition for Named Entity Recognition and Classification
- Dhruv Gupta (2014). Carbon Dating for Information Retrieval