معرفی
Zihong Huang is an Assistant Professor in the Information Systems and Quantitative Sciences (ISQS) department at the Rawls College of Business, Texas Tech University. He holds a PhD from the University of Minnesota's Carlson School of Management, specializing in Information and Decision Sciences, alongside advanced degrees in Computer Science, Economics, and Engineering. His research focuses on social media economics, financial innovations, and game theory modeling, with recent projects exploring creator economies and data-driven venture capital.
Education includes a PhD in Information and Decision Sciences (University of Minnesota), MS in Computer Science (University of Minnesota), BS in Economics (Peking University), ME in Electronics Engineering (Tsinghua University), and BE in Information Engineering (Southeast University).
Research interests emphasize the interplay between social media dynamics and economic systems, particularly in creator economies and crowdfunding mechanisms. His work has appeared in Management Science, Information Systems Research, and Financial Innovation. He currently teaches ISQS 3345: Analytics and Development with Python.
No notable scientific awards are listed, but his contributions to data-driven venture capital and social media economics signal impactful academic engagement. Grants and advising activities are not explicitly detailed in the provided text.
