Yin Pan

Yin Pan is a Professor of Cybersecurity at Rochester Institute of Technology (RIT), affiliated with the Golisano College of Computing and Information Sciences. She holds a Ph.D. in Systems Science and M.S. in Computer Science from Binghamton University (SUNY), alongside degrees from Shanghai Normal University. Dr. Pan specializes in digital forensics, malware detection, and adversarial machine learning, with over 45 publications and patents in network quality of service, VoIP, and AI. She actively teaches undergraduate and graduate courses in digital forensics and has secured grants from NSF, U.S. Air Force Research Lab, and RIT.

Education Background:

• Bachelor's and Master's in Shanghai Normal University (China)
• Second Master's and Ph.D. in State University of New York at Binghamton

Research Interests: Her work focuses on game-based approaches to digital forensics education, memory-based malware detection using machine learning, and cybersecurity audit methodologies. She explores adversarial examples in AI systems and has contributed to network protocols and data center routing optimizations.

Grants & Awards: Notable funding includes NSF and Air Force grants supporting her research in cybersecurity education and malware analysis. She also holds four U.S. patents in network QoS, VoIP, and AI applications.

Advising & Teaching: While no formal advisees are listed, she designs gamified curricula for cybersecurity education and leads courses like CSEC-464 Computer System Forensics and CSEC-730 Advanced Computer Forensics.