Rate My Professor Hong Zhang

Dr. Zhang's academic interests and expertise span machine learning and biomedical applications, algebraic graph theory, computer networks, and computer and systems architecture, aligning with United Nations Sustainable Development Goals 4 (Quality Education) and 9 (Industry, Innovation, and Infrastructure). He has authored or co-authored 19 research outputs, including 15 conference articles, one book, one book chapter, and one article. Among his notable works is the book 'Computer Graphics Using Java 2D and 3D,' co-authored with Y. Daniel Liang and published by Pearson Education in 2007 (ISBN 9780132257015). This text introduces advanced graphic features using high-level Java 2D and Java 3D APIs, offering an elegant presentation of 2D and 3D graphics fundamentals tailored for students trained in Java without delving into low-level implementation details. Other key publications include 'An Experimental Evaluation of a Function in Extremal Combinatorics' with Kai Wang (Proceedings of the 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, pp. 582-586); 'A Novel Naive Bayesian Approach to Inference with Applications to the MNIST Handwritten Digit Classification' with Kai Wang (CSCI 2020, pp. 1354-1358); 'Online Updating for Gaussian Process Learning' with Hongjun Su (CSCI 2017, pp. 180-183); 'Hybrid Clustering Based on a Graph Model' with Hongjun Su (9th International Symposium on Computational Intelligence and Design, ISCID 2016, pp. 242-245); and 'Distances and kernels based on cumulative distribution functions' with Hongjun Su (Emerging Trends in Image Processing, Computer Vision and Pattern Recognition, 2015, pp. 551-559). Dr. Zhang maintains an ORCID profile (0000-0002-8842-5278) and has mentored students, including for presentations at the Spring 2022 Honors Symposium.