Sarah Masud Preum

|Assistant Professor
Academic Appointments

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%]
     

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Speaking Engagements

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Works In Progress

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Selected Works & Activities

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