معرفی
Nian Zhang is a Professor in the Department of Electrical and Computer Engineering at the University of the District of Columbia (UDC), part of the School of Engineering and Applied Sciences. His research focuses on computational intelligence, machine learning, and their applications in big data science, biomedical engineering, and autonomous systems. Dr. Zhang holds a Ph.D. in Computer Engineering from Missouri University of Science & Technology, an M.S. in Automatic Control from Huazhong University of Science & Technology, and a B.S. in Electrical Engineering from Wuhan University of Technology.
He has led numerous grants funded by the National Science Foundation (NSF), National Institutes of Health (NIH), and Department of Defense (DoD), focusing on machine learning, cybersecurity, and biomedical engineering. Notable projects include developing algorithms for standoff detection of threat chemicals and advancing diversity in STEM through experiential learning.
Dr. Zhang has received multiple awards, including UDC's Scholar Award (2025) and Excellence in Research Award (2016). He serves as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and other journals, and has organized international conferences such as the International Conference on Intelligent Control and Information Processing (ICICIP 2025).
His research emphasizes imbalanced data classification, neurodynamic optimization, and applications in hyperspectral imaging, environmental monitoring, and medical diagnostics. He has developed frameworks for addressing challenges in data scarcity and class imbalance across disciplines.
