{"id":2,"date":"2024-04-17T19:12:49","date_gmt":"2024-04-17T19:12:49","guid":{"rendered":"http:\/\/www.smreza.com\/web\/?page_id=2"},"modified":"2026-06-17T17:53:24","modified_gmt":"2026-06-17T17:53:24","slug":"sample-page","status":"publish","type":"page","link":"https:\/\/www.smreza.com\/profile\/","title":{"rendered":"Sayed Mohsin Reza"},"content":{"rendered":"\n
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Sayed Mohsin Reza<\/figcaption><\/figure>\n<\/div>\n\n\n\n
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Sayed Mohsin Reza<\/strong><\/p>\n\n\n\n

Assistant Professor of Computer Science
School of Science, Engineering, and Technology
Pennsylvania State University Harrisburg<\/a>
& CEO at PROCONF System<\/a><\/p>\n\n\n\n

E-mail: smrezaiit (AT) gmail (DOT) com<\/p>\n<\/div>\n\n\n\n

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Sayed Reza<\/strong> 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. More details about the lab’s research can be found here: https:\/\/www.smreza.com\/profile\/d3m-lab\/<\/a>.<\/p>\n\n\n\n

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.<\/p>\n\n\n\n

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 at http:\/\/www.proconf.org\/.<\/a> <\/p>\n\n\n\n

Research Interests<\/h2>\n\n\n\n

My main research areas are Machine learning, Data Science, Software Engineering, and CS Education. The goal of my research is to develop novel algorithms to solve problems from these areas while respecting the underlying problem structures and presenting scalable platforms that can handle massive, heterogeneous data sets. My current research projects are in the following fields:<\/p>\n\n\n\n