Morris Chang

J. Morris Chang has been a professor in the electrical engineering department at University of South Florida since 2016, with prior faculty positions at Iowa State University (2001-2016), Illinois Institute of Technology (1995-2001), and Rochester Institute of Technology (1993-1995). Before joining academia, he was employed as a computer engineer at AT&T Bell Labs (1988-1990). His recent research efforts cover a broad spectrum of cybersecurity subject areas, from authentication to malware detection, privacy-enhancing technologies, and security in machine learning, and were funded by different Department of Defense (DoD) agencies. Dr. Chang received his PhD in computer engineering from North Carolina State University. He received the IIT University Excellence in Teaching Award in 1999, and was inducted into the NC State University ECE Alumni Hall of Fame in 2019. Over the past 10 years, he has served as the lead principal investigator on various projects funded by DoD agencies. Morris has over 196 publications in refereed journals and conference proceedings. In addition, he has also served in the Institute of Electrical and Electronics Engineers (IEEE) in various positions, including associate editor in chief of IEEE’s IT Professional magazine (2014-2018), associate editor of the IEEE Transactions on Reliability journal (2022), and Program Chairs in Chief of COMPSAC 2019 (IEEE Computer Society signature conference on Computers, Software, and Applications, 2019).

books by Morris Chang

Privacy-Preserving Machine Learning

  • March 2023
  • ISBN 9781617298042
  • 336 pages
  • printed in black & white
  • Available translations: Japanese, Simplified Chinese

Privacy Preserving Machine Learning explores privacy preservation techniques through real-world use cases in facial recognition, cloud data storage, and more. You’ll learn about practical implementations you can deploy now, future privacy challenges, and how to adapt existing technologies to your needs. Your new skills build towards a complete security data platform project you’ll develop in the final chapter.