The Research Lab focus on advancing Artificial Intelligence, Machine Learning, Natural Language Processing, Data Science, Explainable AI, Large Language Models, and Computational Social Science. The lab brings together researchers, research scholars, and students to investigate emerging computational technologies and develop intelligent, data-driven solutions to real-world problems.
The research broadly focuses on the intersection of AI, human behaviour, language, society, and intelligent systems, with particular emphasis on developing responsible, explainable, and socially relevant AI solutions. The lab explores the use of machine learning and deep learning for applications including healthcare, mental health, misinformation and propaganda detection, social media analytics, disaster management, education, cybersecurity, and regional language technologies.
Artificial Intelligence and Machine Learning
Deep Learning and Generative AI
Natural Language Processing (NLP)
Large Language Models (LLMs)
Explainable AI (XAI)
Computational Social Science
Social Network Analysis
Misinformation and Propaganda Detection
Mental Health and AI
Multimodal Learning
Data Science and Predictive Analytics
Regional and Low-Resource Language Processing
AI for Healthcare, Education and Disaster Management
The lab follows a problem-driven and interdisciplinary research approach, combining computational methods with domain knowledge to address challenging societal and scientific problems. Particular emphasis is placed on reproducible research, ethical AI, explainability, real-world datasets, and translational research.
The lab also encourages students and young researchers to participate in research projects, publications, patents, dataset development, software prototypes, and interdisciplinary collaborations. Through this approach, the lab aims to create a strong research culture and develop innovative technologies with meaningful academic and societal impact.
To develop a globally recognized research ecosystem for responsible and impactful Artificial Intelligence and Data Science research, with a strong focus on solving real-world societal challenges.
To conduct high-quality interdisciplinary research, mentor the next generation of researchers, develop innovative AI-driven solutions, and translate scientific discoveries into technologies and knowledge that create meaningful societal impact.
Lab Head
Dr. Akib Mohi Ud Din Khanday
https://scholar.google.co.in/citations?hl=en&user=vutAvc4AAAAJ
Ph.D. Students
Mr. Zahoor Ahmad Dar
Working on Adverisal Attacks on Large Language Models
Master's Students
Mr Aasif
Mr Mued
Mr Baqir
Mr Muzamil
Ms Fatimah
Ms Mehreen
Ms Tanveera
Ms Tanzeela
Ms Iqra
Ms Muntaha
Ms Tamana
Ms Humaira