Zechun Cao received his master's and Ph.D. degrees in computer science from the University of Houston. His research lies at the intersection of cybersecurity, privacy, and artificial intelligence (AI). His doctoral thesis centers around developing network and host intrusion detection methods leveraged by intelligent user behavior recognition. He also collaborates with economists and city planners on devising AI algorithms that result in long-lasting real-world impact. More recently, he has been passionate about designing algorithms and tools to keep users' private confidential data secure in an AI-driven world. Dr. Cao's work has been published in prestigious journals and conferences. He is a member of ACM and IEEE and has served as a TPC member and reviewer for various journals and international conferences.
|CSCI||1437||600||Programming Fundamentals II||Fall 2022||Syllabi|
|CSCI||1437||60L||Programming Fundamentals II La||Fall 2022||Syllabi|
|CSCI||2436||01L||Data Structures Lab||Fall 2022||Syllabi|
|CSCI||2436||001||Data Structures||Fall 2022||Syllabi|
|CISA||2306||001||Computer Networks||Fall 2022||Syllabi|