Dr. Jun Zhang

Professor
Department of Computer Science and Engineering Technology
Office Location: EASC 2099
Tel: (410) 651-6424
Email: jzhang@umes.edu
Research Interests
- Algorithms and Data Structures
- Operating Systems
- Software Engineering
- Programming Languages
Academic Background
- Ph.D. from University of Rhode Island
- M.S. in Math – University of Toledo (1997)
- B.S. in Math and Education – Yunnan Normal University (1986)
Courses and Teaching Areas
- Algorithms and Data Structures
- Operating Systems
- Software Engineering
- Programming Languages
Grants and Projects in the Last 5 Years
- PI: “To Explore Topological Machine Learning”. Funded by: The Applied Research Institute for Mathematical and Computational Sciences. 2023-2024.
- Co-PI: “Deploying a Lifecycle-oriented Roadmap (LoR) for Model-Based Systems Engineering (MBSE) of Multi-Complex Environments.” Funded by NASA, amount: $119,708.00, 2022-2023.
Last 5 Publications
- Jun Zhang. “A Technique View for the Computation of Taylor’s Coefficients.” The 2025 International Conference on Computational Science and Computational Intelligence, December 3-5, 2025; Las Vegas, USA. Springer Nature.
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Jun Zhang. “A Note on Automatic Verification Strategy in Distance Education.” The 10th International Conference on Distance Education and Learning, June 13-16, 2025; Kunming, China. IEEE.
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Jun Zhang, Willie Brown, Fangyang Shen. “A New Model for Symbolic Computation of Inverse Laplace Transforms.” The 2024 International Conference on Computational Science and Computational Intelligence, December 11-13, 2024; Las Vegas, USA, Springer Nature.
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Jun Zhang, Ruzong Fan, Fangyang Shen and Junyi Tu. “New Effective Transformational Computational Methods.” Journal of Applied Analysis and Computation. Wilmington Scientific Publisher. Volume 14, Number 1, February 2024, 317–333.
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Jun Zhang, Willie Brown, Ruzong Fan. “New Methods to Solve Difference Equations Automatically.” The 2023 International Conference on Computational Science and Computational Intelligence, December 13-15, 2023; Las Vegas, USA, IEEE.
Professional Affiliations and Memberships
Reviewer and Member of Technical Committee: 2026 the 11th International Conference on Distance Education and Learning, Hangzhou, China.

