Sayed Mohsin Reza, Ph.D.

Sayed Mohsin Reza, Ph.D.
Personal Website
Assistant Professor of Computer Science, School of Science, Engineering, and Technology
[email protected]
717 948 6089
Olmsted, W255K
777 West Harrisburg Pike
Olmsted Building, W255K
Middletown, PA 17057

Sayed Reza is an Assistant Professor of Computer Science at Penn State University Harrisburg. He specializes in Data Mining, Machine Learning, Artificial Intelligence, Computer Vision, Computer Graphics, Software Engineering, and Computer Science Education. His research focuses on data-driven decision-making in healthcare, open government, sensory data, and the enhancement of computer science education through data science. He leads the "Data Driven Decision Making (D3M) Lab" at Penn State Harrisburg.

He has published in prestigious venues such as IEEE BHI, ACM MODELS, IEEE FIE, WILEY, and ACM EngageCSEdu. His work examines the intersection of civic, health, and sensor data, utilizing data-driven methodologies to improve decision-making processes. His research aims to develop secure, efficient, and informative computational solutions for healthcare and government systems while integrating these advancements into computer science education. Visit his website to learn more.

Sayed Reza completed his Ph.D. research on the application of machine learning to large-scale software data. His undergraduate research focused on developing a Peer-to-Peer Review Management System designed to enhance the submission and review processes. This project has been used by over 50 conferences and journals in various countries since 2014. More information can be found on PROCONF, a Conference Management System for Research Development.

  • Data Mining
  • Machine Learning
  • Artificial Intelligence
  • Computer Vision
  • Computer Graphics
  • Software Engineering
  • CS Education 

Barany, A., Scarola, A., Acquah, A., Reza, S. M., Johnson, M. A., & Walker, J. T. (2024). Learning Designs That Empower: Navigating Sandbox Data Science at the Intersection of Computing, Big Data, and Social Media. Journal of Information and Learning Science.  

Walker, J., Barany, A., Reza, S. M., Barrera, A., & Badreddin, O. (2024). Sandbox Data Science: Culturally Relevant K-12 Computing. ACM EngageCSEdu Journal.  

Walker, J., Barany, A., Barrera, A., Johnson, M. A., & Reza, S. M. (2024). Perspectives on Research and Practice in and Around Cultural Relevance for Pre-College Data Science in Computing Improving Equity in Data Science. (1st), (pp. 25). Taylor & Francis.  

Sravani, M., Reza, S. M., & Nguyen, H. Enhancing Knowledge Base Completion for Long-tail Entities through Zero-shot Learning. 2025 the 8th International Conference on Innovative Computing and Communication (ICICC-2025).   

Reza, S. M., Garg, A., Johnson, M. A. , Barany, A., Acquah, A., & Walker, J. T. (2025). Empowering K-12 Students Through Open Inquiry on Open Government Data: A Data-Driven Approach in CS Education. 2024 IEEE Frontiers in Education Conference (FIE).  

R, S., Mahadevaswamy, P., & Reza, S. M. (2024). Spatial Urban Change and Trend Analysis of Davanagere City Boundary between 2000 - 2020. 2024 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER).

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  • Ph.D., Computer Science, University of Texas at El Paso
  • M.Sc., Computer Science, University of Texas at El Paso