معرفی
Lei Yu is a Tenure-Track Assistant Professor in the Department of Computer Science at Rensselaer Polytechnic Institute (RPI). Previously, he was a Research Staff Member at IBM Research's Thomas J. Watson Research Center. He holds a Ph.D. in Computer Science from Georgia Institute of Technology and earlier studied at Harbin Institute of Technology. His research focuses on data privacy, AI security, machine learning systems, and cloud/mobile computing, with notable contributions to federated learning, adversarial attacks, and blockchain security. Yu has been awarded multiple IBM accolades, including the 2022 IBM Research Outstanding Accomplishment and the IBM Outstanding Innovation Award. He has authored numerous patents and serves on technical program committees for top conferences like ACM ASIACCS and IEEE ICDCS.
Education: Ph.D. in Computer Science (Georgia Tech), M.S. and B.S. from Harbin Institute of Technology (China). His work spans theoretical and applied research, including privacy-preserving techniques, secure AI systems, and distributed computing. He leads the RPI lab focused on trustworthy AI and has advised over 15 students across Ph.D., Master’s, and undergraduate programs.
Research interests emphasize threats in data lifecycle, machine learning robustness, and system security. His lab’s projects include membership inference attacks, model deduplication, and blockchain-based solutions for data integrity. He has secured grants such as the RPI-IBM AIRC research award and maintains active collaborations with industry and academia.
- Awards: IBM Research Awards (2020–2022), NSF Travel Grants, Best Paper Awards.
- Professional Activities: Guest Editor for Wireless Communications and Mobile Computing, TPC roles in ICDCS, AsiaCCS, and ICDE.
- Teaching: Courses on database systems, network programming, and machine learning security at RPI.
