Sayanti Roy, Ph.D.

Assistant Professor of Computer Science


Sayanti Roy is an assistant professor of computer science in the Department of Computer Science. Her research and teaching focus on Artificial Intelligence, Human Robot Interaction and Reinforcement Learning.

Select Publications

Sayanti Roy, Christopher Crick, Emily Kieson and Charles. Abramson, “A Reinforcement Learning Model for Robots as Teachers,” 2018 27th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2018, pp. 294-299.

Tom Williams, Daniel Ayers, Camille Kaufman, Jon Serrano, and Sayanti Roy. 2021. Deconstructed Trustee Theory: Disentangling Trust in Body and Identity in Multi-Robot Distributed Systems. In Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’21).

Cailyn Smith, Gorgemans Charlotte, Wen Ruchen, Saad Elbeleidy, Sayanti Roy, and Tom Williams. “Leveraging Intentional Factors and Task Context to Predict Linguistic Norm Adherence.” In Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 44, no. 44. 2022.


Office Location:

Hammond Campus, CLO 386