Personal profile
Research interests
Data Mining, Machine Learning, Artificial Intelligence, Computer Vision, Computer Graphics, Software Engineering, CS Education
Personal profile
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.
URL
Personal Website: https://www.smreza.com
Official Website: https://harrisburg.psu.edu/faculty-and-staff/sayed-mohsin-reza
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities -
SDG 15 Life on Land
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Collaborations and top research areas from the last five years
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Comparative analysis of deep learning models for defect detection in additive manufacturing using thermal imaging
Shah, S., Suraj, D., Reza, S. M., Salam, M. A. R. B. A., Ashraf, A. & Ferdous, S. F., Dec 2025, In: Results in Engineering. 28, 108359.Research output: Contribution to journal › Article › peer-review
Open Access -
Enhancing ADHD Diagnostic Assessments with Virtual Reality integrated with Biofeedback and Artificial Intelligence
Garg, A., Reza, S. M. & Babinski, D., 2025, Proceedings - 2025 8th International Conference on Information and Computer Technologies, ICICT 2025. Institute of Electrical and Electronics Engineers Inc., p. 442-447 6 p. (Proceedings - 2025 8th International Conference on Information and Computer Technologies, ICICT 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Link opens in a new tab Scopus citations -
Enhancing Knowledge Base Completion for Long-Tail Entities Through Zero-Shot Learning
Mall, S., Reza, S., Tran, T. K. & Nguyen, H., 2025, Innovative Computing and Communications - Proceedings of ICICC 2025. Hassanien, A. E., Anand, S., Jaiswal, A. & Kumar, P. (eds.). Springer Science and Business Media Deutschland GmbH, p. 535-549 15 p. (Lecture Notes in Networks and Systems; vol. 1439 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Cultural Relevance for Epistemic Practice in High School Computational Data Mining
Acquah, A., Barany, A., Scarola, A., Johnson, M. A., Reza, S. M., Rivera, C. & Walker, J. T., 2024, 2024 IEEE Frontiers in Education Conference, FIE 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings - Frontiers in Education Conference, FIE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Data and Social Worlds: How Data Science Education Supports Civic Participation and Social Discourse
Miller, K. M., Polman, J. L., Yoon, S. A., Shim, J., Leung, V. Y., Nguyen, Y., Rubin, A., Higgins, T., Karch, J. M., Hammerman, J. K. L., Matuk, C., Desportes, K., Amato, A., Dikker, S., Ochoa, X., Romero, E., Podworny, S., Fleischer, Y., Biehler, R. & Walker, J. T. & 18 others, , 2024, ISLS Annual Meeting 2024: Learning as a Cornerstone of Healing, Resilience, and Community - 18th International Conference of the Learning Sciences, ICLS 2024 - Proceedings. Lindgren, R., Asino, T., Kyza, E. A., Looi, C.-K., Keifert, D. T. & Suarez, E. (eds.). International Society of the Learning Sciences (ISLS), p. 1863-1870 8 p. (Proceedings of International Conference of the Learning Sciences, ICLS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access3 Link opens in a new tab Scopus citations