Summary
Ming-hung Wang is an associate professor in Computer Science and Information Engineering at National Chung Cheng University with nine years of experience bridging academic research and applied security practice. He leads the Digital Society and Security Lab, combining statistical learning, graph theory, and computer vision to study information operations, hate speech, malicious accounts, and social media security on platforms like Facebook, Instagram, and TikTok. With a Ph.D. in Electrical Engineering from National Taiwan University and prior industry research roles, he also develops SDN applications and leverages behavioral features, neural networks, and unsupervised methods for anomaly and intrusion detection in IoT. He serves as supervisor and chair of the education and promotion committee at the Chinese Cryptology and Information Security Association and has had his work featured by international media outlets, reflecting real-world impact beyond academia. Known for using R, Python, and LaTeX, he blends rigorous theory with practical system implementations to tackle large-scale computational social science problems.
9 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at National Taiwan University
Master's Degree Communication Engineering, Master's Degree Communication Engineering at National Tsing Hua University
English, Chinese, hokkien