The Dhanani School Undergraduate Research Symposium (DURS) is an annual academic initiative that provides undergraduate students a platform to showcase their research work, innovations, and scholarly contributions. The symposium encourages knowledge-sharing, interdisciplinary collaboration, and intellectual engagement among students, faculty, and industry experts.

Dr. Ihsan Ayyub Qazi is a Professor of Computer Science at the Lahore University of Management Sciences (LUMS), where he leads the Internet, Data, and Society Lab (IDSL). He holds a Ph.D. from the University of Pittsburgh and has held research appointments at the University of California, Berkeley and institutions in Australia. His research focuses on networked systems and their societal impacts, spanning clinical AI and digital health, digital development, and trustworthy AI systems. At IDSL, he leads projects that combine computational approaches, including generative AI and privacy-preserving machine learning, with rigorous social science methods such as randomized controlled trials. By bridging computational and human-centered perspectives, his work aims to develop digital technologies that serve diverse communities equitably while remaining effective, resource-efficient, and safe. His work has been published in leading venues across computer science, economics, and medicine, including ACL, ACM SIGCOMM, CHI, Nature Health, NEJM AI, and the Journal of Development Economics. He co-leads Pakistan's National Center in Big Data & Cloud Computing and the National AI Hub. His research has been supported by the World Bank Group, the Google Faculty Research Award, and multiple Meta Integrity Research Awards, and he has received teaching and alumni achievement honors from LUMS and the University of Pittsburgh.
Applications of AI for societal challenges
AI for transforming healthcare, education, agriculture, and banking
AI in bioinformatics
Deep learning innovations and applications
Natural language processing & computer vision
Generative AI & LLMs
AI bias, fairness, and accountability
Ethics in AI-generated content: Deepfakes and beyond
Digital humanities: Text analysis, archiving, and visualization
Computational social science: Modeling social behaviors and networks
AI and ethics in society: Bias, fairness, and accountability
Human-centered AI and cultural analytics
Data-driven research in history, linguistics, and anthropology
Social network analysis: Examining relationships, influence, and community structures
Renewable energy and efficient systems for sustainability
Technological advancements for health and climate resilience
Smart grids and energy management
Systems Thinking and One Health
Bioethics and gene editing
Latest developments in robotics technology
Applications of autonomous systems and wearable devices
Virtual reality & augmented reality (VR/AR) for immersive user experiences
Bionics
Cryptography and blockchain
Cybersecurity in IoT
Cloud computing

Call for Abstracts
Abstract Submission Deadline
Notification of Abstract Acceptance
Full Paper Submission and Poster Submission Deadline
Notification of Acceptance
Registration Deadline for Authors