Sarah Masud Preum
|Assistant Professor
Assistant Professor of Computer Science
I develop novel information extraction and fusion techniques using machine learning. My research has applications in smart health, personalized assistants, and intelligent environments. My vision is to advance the fundamental techniques and theories for information extraction, representation, and fusion to enhance human-centric intelligent systems.
Contact
Sudikoff Lab, Room 113
HB 6211
Department(s)
Computer Science
Education
- B.Sc. Bangladesh University of Engineering and Technology
- M.Sc. University of Virginia
- Ph.D. University of Virginia
Selected Publications
Sarah M. Preum, Sirajum Munir, Meiyi Ma, Mohammad Yasar, David J. Stone, Ronald D. Williams, Homa Alemzadeh, and John Stankovic. "A Review of Cognitive Assistants for Healthcare: Trends, Prospects, and Future Directions." ACM Computing Surveys, 2021 [Impact factor: 6.131]
Sarah M. Preum, Homa Alemzadeh, and John Stankovic. "EMSContExt: EMS Protocol-driven Concept Extraction for Cognitive Assistance in Emergency Response." Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Sarah M. Preum, John Stankovic, Yanjun Qi. "MAPer: A Multi-Scale Adaptive Personalized Model for Temporal Human Behavior Prediction." ACM International Conference on Information and Knowledge Management (CIKM), 2015 [CORE rank: A]
Sarah M. Preum, Md A. Mondol, Meiyi Ma, Hongning Wang, John Stankovic. "PreCluDe: Conflict Detection in Textual Health Advice." IEEE International Conference on Pervasive Computing and Communications (PerCom), 2017 [CORE rank: A*, acceptance rate 16.5%]
Speaking Engagements
Works In Progress
Selected Works & Activities