Sarah Masud Preum

|Assistant Professor
Academic 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

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. 

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Contact

Engineer and Comp Science Ctr, Room 017
HB 6211

Department(s)

Biomedical Data Science, Computer Science

Education

  • B.Sc. Bangladesh University of Engineering and Technology
  • M.Sc. University of Virginia
  • Ph.D. University of Virginia

Selected 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%]
     

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Speaking Engagements

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Works In Progress

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Selected Works & Activities

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