Sarah Masud Preum
Assistant Professor
Appointments
Assistant Professor of Computer Science
Adjunct Faculty, Department of Biomedical Data Science, Geisel School of Medicine
Faculty Affiliate, Center for Technology and Behavioral Health (CTBH)
Technical Associate Director, Dartmouth Center for Precision Health and Artificial Intelligence
Area of Expertise
Human-AI Interaction,
Natural Language Processing,
Applied Machine Learning,
Mobile Health,
Cyber-Physical Systems
Biography
I specialize in creating innovative and practical machine learning methods that drive advancements in computational health. My primary focus areas include natural language processing, temporal modeling, and human-AI interaction. I'm passionate about leveraging these techniques to deliver personalized decision support tailored to specific digital health applications. Please visit my website for more details.
Before joining Dartmouth, I was a postdoctoral research scholar at Carnegie Mellon University's School of Computer Science. I'm honored to have been recognized as one of the Rising Stars in EECS in 2020, which is an international group of upcoming female faculty members in Electrical Engineering and Computer Science who excel academically and are dedicated to advancing equity and inclusion.
Education
B.Sc. Bangladesh University of Engineering and Technology
M.Sc. University of Virginia
Ph.D. University of Virginia
Taught Courses
Publications
Joseph Gatto, Madhusudan Basak, and Sarah Masud Preum. "Scope of Pre-trained Language Models for Detecting Conflicting Health Information." In Proceedings of the International AAAI Conference on Web and Social Media, vol. 17, pp. 221-232. 2023.
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, 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%]
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]
Sile Shu, Sarah M. Preum, Haydon M. Pitchford, Ronald D. Williams, John Stankovic, and Homa Alemzadeh. "A Behavior Tree Cognitive Assistant System for Emergency Medical Services." IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019. [CORE rank: A]
Sarah M. Preum, Farhana Choudhury, Mohammed Ali, Sarana Nutanong. "Maximum Visibility Queries in Spatial Databases." International Conference on Data Engineering (ICDE), 2013 [CORE rank: A*]
Meiyi Ma, Sarah M. Preum, Mohsin Ahmed, William Turneberg, Abdeltawab Hendawi, John Stankovic. "Data Sets, Modeling and Decision Making in Smart Cities: A Survey." Transactions on Cyber Physical Systems (TCPS), 2019
Speaking Engagements
Works in Progress
Selected Works & Activities