Research output per year
Research output per year
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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Collaborations and top research areas from the last five years
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Learning designs that empower: navigating sandbox data science at the intersection of computing, big data and social media
Barany, A., Scarola, A. D., Acquah, A., Reza, S. M., Johnson, M. A. & Walker, J., Oct 28 2024, In: Information and Learning Science. 125, 10, p. 794-812 19 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Perspectives on research and practice in and around cultural relevance for pre-college data science in computing
Walker, J. T., Barany, A., Barrera, A., Johnson, M. A. & Reza, S. M., Jun 3 2024, Improving Equity in Data Science: Re-Imagining the Teaching and Learning of Data in K-16 Classrooms. Taylor and Francis, p. 12-36 25 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter
3 Scopus citations -
Spatial Urban Change and Trend Analysis of Davanagere City Boundary Between 2000 - 2020
Shivakumar, B. R., Pallavi, M. & Reza, S. M., 2024, 8th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 58-64 7 p. (8th IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024 - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Coding Like a Data Miner: A Sandbox Approach to Computing-Based Data Science for High School Student Learning
Walker, J. T., Barany, A., Acquah, A., Reza, S. M., Barrera, A., Del Rio Guzman, K. & Johnson, M. A., 2023, 2023 IEEE Frontiers in Education Conference, FIE 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., (Proceedings - Frontiers in Education Conference, FIE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
5 Scopus citations -
Characterization of software design and collaborative modeling in open source projects
Rahad, K., Badreddin, O. & Reza, S. M., 2021, MODELSWARD 2021 - Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development. Hammoudi, S., Pires, L. F., Seidewitz, E. & Soley, R. (eds.). SciTePress, p. 254-261 8 p. (MODELSWARD 2021 - Proceedings of the 9th International Conference on Model-Driven Engineering and Software Development).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution