Ashique KhudaBukhsh

Ashique KhudaBukhsh is an Assistant Professor in the Department of Software Engineering at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology (RIT). He directs the Social Insight Lab and is affiliated with the ESL Global Cybersecurity Institute. His research focuses on NLP and AI for Social Impact, addressing challenges in multilingual social media analysis, political polarization, and auditing AI systems for unintended harms. His work has been featured in top AI conferences and media outlets like The New York Times and BBC.

Education: PhD in Artificial Intelligence from Carnegie Mellon University (2017). He joined RIT in 2021. Notable awards include the RIT GGCIS Emerging Scholar Award (2023) and selection for the AAAI 2024 New Faculty Highlight program.

Research Interests:

• Machine Learning and NLP applications for social issues
• Political polarization analysis through AI
• Audit of generative AI for harmful content
• Multilingual and noisy social media text processing

Teaching: Offers courses like 'Tracking Political Sentiments Using Machine Learning' (co-taught with political scientists) and advanced data science seminars. Current students include Sujan Dutta, Arka Dutta, and Soumyajit Datta.

Awards and Media: Over 100 media mentions including coverage on BBC and Wired. His team exposed toxic content in Google's PaLM2 model, leading to model improvements.

Labs and Collaborations: Leads the Social Insight Lab, collaborating on projects like analyzing gender bias in Bollywood and AI-based responses to global crises.