Rate My Professor Hong Zhang

Zhang's research interests include machine learning and its biomedical applications, algebraic graph theory, computer networks, and computer and systems architecture. His scholarly output encompasses 19 research items, including a book and numerous conference proceedings. Key publications include the co-authored book Computer Graphics Using Java 2D and 3D (2006) with Y. Daniel Liang, "An Experimental Evaluation of a Function in Extremal Combinatorics" (2021) with K. Wang, "A Novel Naive Bayesian Approach to Inference with Applications to the MNIST Handwritten Digit Classification" (2020) with K. Wang, "Online Updating for Gaussian Process Learning" (2018) with H. Su, "Hybrid Clustering Based on a Graph Model" (2016) with H. Su, and "Distances and kernels based on cumulative distribution functions" (2015) with H. Su. These works have been presented at international conferences such as the International Conference on Computational Science and Computational Intelligence and the International Symposium on Computational Intelligence and Design. His research aligns with UN Sustainable Development Goals related to quality education and industry, innovation, and infrastructure. Earlier in his career, Zhang held positions including research scientist at BIOwulf Technologies, vice president and chief information officer at Horus Therapeutics, and assistant and associate professor of mathematical sciences at Indiana University Purdue University Indianapolis. At Armstrong State University, prior to its merger with Georgia Southern University, he served as Yamacraw Associate Professor of Computer Science, department head, and various interim leadership roles.