Xinyu Lei

Xinyu Lei is an Assistant Professor in the Department of Computer Science at Michigan Technological University (MTU), where he joined in Fall 2021. He earned his PhD in Computer Science and Engineering from Michigan State University (MSU), advised by Prof. Guan-Hua Tu. Prior to MTU, he worked as a Research Assistant at Texas A&M University at Qatar (2013) and a Research Intern at Ford Motor Company (2017).

• University: Michigan Technological University
• Department: Computer Science
• Academic Rank: Assistant Professor
• PhD Institution: Michigan State University

His research focuses on distributed computing, mobile systems, data science, and trustworthy machine learning, with particular emphasis on privacy-preserving protocols for IoT and blockchain technologies. His publications span top venues like ACM MobiCom, IEEE TDSC, and IEEE TIFS, addressing vulnerabilities in cellular IoT, secure blockchain protocols, and federated learning systems.

Recent work includes privacy-preserving federated learning in 2023 (TIFS), secure redactable blockchain (TDSC), and IoT data heterogeneity handling (IoT-J). Earlier contributions in 2020-2021 explored Wi-Fi security for smart homes (MobiSys), encrypted geodata queries (ICDE), and Bitcoin payment protocols (CODASPY).

• Research Grants:
  • NSF CRII: CNS-2153393 ($175K, Sole-PI)
• Professional Activities:
  • Program Committee: CVPR'24, INFOCOM'24
  • TPC: BigDataService'20, Workshop Mobicom'19

Dr. Lei teaches graduate and undergraduate courses in applied cryptography (CS 5090), network security (CS/EE 4723), and computer security (CS 4471/5471) at MTU. He also contributes to academic community service through program committee roles at conferences like CVPR, INFOCOM, and WSDM.