About Me
I am a Computer Science Ph.D. student at the Khoury College of Computer Sciences at Northeastern University, where I work at the intersection of Artificial Intelligence and Human-Computer Interaction. I am advised by Professor Saiph Savage. My evolving research interests are in Human-Computer Interaction, Social Computing, Future of Work, and Accessibility.
As a mixed-method researcher, I build and evaluate computational systems to address complex real-world problems. I have experience with pretraining, finetuning LLM and VLM, and building RAG pipelines.
I draw on social and cognitive science theories to guide the design of these tools. In my current research projects, I am studying how Large Language Models can be leveraged to address accessibility challenges and enhance human sensemaking and collective intelligence processes
During my undergraduate, I also worked as a Research Assistant intern at the Indian Institute of Technology-Madras (IIT-Madras) and Indian Institute of Management-Bangalore (IIM-B).
Before joining the Ph.D. program, I built my social enterprise, Majdoors, an online gig platform for unorganized construction gig workers in India.
I am ACM SIGCHI Boston chapter chair and also affiliated with the Global Action Policy Initiative (GAP) at Northeastern University.
I believe research thrives through collaboration and co-learning. If you're interested in working together, please reach out! imteyaz.k@northeastern.edu
I am open to mentoring undergrads/masters students for CS Ph.D. programs. If you feel like you lack exposure and experience, Please send me an email.
Updates!
ACM Collective Intelligence Conference
Presented the research from my first year “GigSense: An LLM-Infused Tool for Workers’ Collective Intelligence.”. We built a platform to study sense-making and collective intelligence for knowledge gig workers.
ACM Europe Summer School
Attended ACM Europe Summer School at the University of Luxembourg in Luxembourg. I also presented my research on LLM based approach for sensemaking and collective intelligence.
CSCW 2023
Attending CSCW 23 and presenting my position paper on “Fostering Pluralism in Computer Science, especially in Generative AI.” We also pondered upon how to engage diverse stakeholders in research and methodological challenges in conducting diverse research.
NSF Future of Work at Human-Technology Frontier
Presenting my research work at NSF Future of Work at Human-Technology Frontier.
A conversation about Generative-AI and labor economics with Daron Acemoglu and Saiph Savage