Scholar
Koustuv Saha
Google Scholar ID: tipePDkAAAAJ
University of Illinois Urbana-Champaign
Citations & Impact
Citations
3,750
H-index
35
i10-index
60
Publications
20
Co-authors
190
list available
Publications
Resume (English only)
Academic Achievements
- September 2025: Selected for The OpEd Project Public Voices Fellowship for 2025-26 University of Illinois cohort; June 2025: Awarded the Adamic-Glance Distinguished Early Career Award at AAAI ICWSM-2025; December 2024: Attended IndoML 2024 in Goa, India; November 2024: Attended CSCW 2024 in San José, Costa Rica; August 2024: MHTI-2024 Scholar and attended the mHealth Training Institute 2024 in Los Angeles, California; June 2024: Attended HCIC 2024 in Delavan, Wisconsin, and gave a talk at SICSS Singapore; May 2024: Attended CHI 2024 in Honolulu, Hawaii; March 2024: Gave a talk at CLunch@UPenn and participated in a panel discussion on Digital Dialects: Large Language Models and Societal Linguistic Evolution at IIM Bangalore; December 2023: Attended FIRE 2023 in Goa, India, and was an invited speaker at IndoML 2023 in Mumbai, India; October 2023: Attended CSCW 2023 in Minneapolis, Minnesota; May 2023: Joined UIUC CS as an Assistant Professor, starting Fall 2023; March 2022: Awarded the Outstanding Doctoral Dissertation Award by the College of Computing, Georgia Tech.
Research Experience
- Senior Researcher at Microsoft Research, Montréal, with the FATE group; currently leading the OnCARE lab at UIUC, focusing on using social media, online data, and multimodal sensing data to study human behavior and wellbeing.
Education
- Ph.D. in Computer Science from the School of Interactive Computing, College of Computing at Georgia Tech; B.Tech in Computer Science and Engineering from IIT Kharagpur.
Background
- Assistant Professor of Computer Science at the University of Illinois Urbana-Champaign, leading the OnCARE (Online and Connected AI Reflections) lab with a focus on computational social science, social computing, human-centered machine learning, and FATE (Fairness, Accountability, Transparency, and Ethics in AI).
