Robert H Sloan
Professor
Department of Computer Science
Contact
Building & Room:
CDRLC 3438
Address:
850 W. Taylor St, MC 152, Chicago, IL 60607
Office Phone:
Email:
CV Link:
Related Sites:
About
Robert H. Sloan is Professor of Computer Science at the University of Illinois Chicago. His work spans privacy, cybersecurity, technology policy, AI and society, and computer science education. His earlier research was in computational learning theory, algorithms, and theoretical computer science.
He served as Head of the UIC Department of Computer Science from 2007–2025, during a period of substantial growth in the department’s size, research activity, and national visibility. His broader professional service has included serving as Program Director for the National Science Foundation Theory of Computing Program and leadership roles in ACM/IEEE computing curriculum initiatives.
Current projects include technology education initiatives in Chicago and ongoing collaborations in privacy, cybersecurity law, and responsible uses of AI.
Research Interests:
- Privacy, cybersecurity, and technology law and policy
- AI, society, and public-interest computing
- Computer science education
- Theoretical computer science and computational learning theory
Selected Publications
Robert H. Sloan, and Richard Warner. “Justice and the Algorithm: Beyond Bias.” Northwestern Journal of Technology and Intellectual Property, 23 (2), 387, 2026.
Edward Carter, Robert H. Sloan, and Richard Warner. Basic Cybersecurity Law for the Business Environment: Cases and Commentary. Aspen Publishing, 2025.
Robert H. Sloan and Richard Warner. The Privacy Fix: How to Preserve Privacy in the Onslaught of Surveillance. Cambridge University Press, 2021.
Robert H. Sloan and Richard Warner. Why Don’t We Defend Better? Data Breaches, Risk Management, and Public Policy. CRC Press, 2019.
Robert H. Sloan and Richard Warner. “Beyond Bias: Artificial Intelligence and Social Justice.” Virginia Journal of Law and Technology, 2020.
R. H. Sloan and R. Warner. “When Is an Algorithm Transparent?: Predictive Analytics, Privacy, and Public Policy”. IEEE Security & Privacy 16.3 (2018), pp. 18–25.
Service to Community
Commissioner, ABET Computing Accreditation Commission, 2026-2029.
Past service includes work as Program Director for the National Science Foundation Theory of Computing Program, leadership roles in ACM/IEEE computing curriculum initiatives, and US Department of Homeland Security Privacy and Integrity Advisory Committee.
Education
PhD and SM, Computer Science, Massachusetts Institute of Technology.
BS, Mathematics, Yale University.