معرفی
Yu Cheng is a full Professor at the Illinois Institute of Technology in the Department of Electrical and Computer Engineering within the Armour College of Engineering. He joined the faculty in 2006 and was elevated to IEEE Fellow in 2024. His research focuses on wireless network performance analysis, machine learning applications in networks, age of information optimization, and network security. He has led multiple NSF-funded projects, including the NSF CAREER Award (2011-2015) and a 2018 project on machine learning-driven network optimization.
Cheng holds a Ph.D. from the University of Waterloo (2003) and completed a postdoctoral fellowship at the University of Toronto (2004-2006). His educational background also includes M.E. and B.E. degrees from Tsinghua University (1995-1998). He serves as an Associate Editor for IEEE Transactions on Vehicular Technology and has been an IEEE ComSoc Distinguished Lecturer (2016-2017).
His research interests include machine learning in wireless networks, cloud computing, age of information, and cybersecurity. Notable achievements include the 2011 NSF CAREER Award and runner-up Best Paper Awards at ACM MobiHoc (2014 and 2018). He has advised numerous Ph.D. students, with current advisees including Bo Yin and Lei Zhou. Graduates include Jin Tang (AT&T Lab) and Xiaohua Tian (Shanghai Jiaotong University).
Cheng’s funded research includes projects on optimizing information freshness (NSF 2020-2023) and machine learning for network optimization (NSF 2018-2022). He leads the Future Networking Research Laboratory, focusing on next-generation network architecture and protocols. His work integrates theoretical frameworks with practical implementations, emphasizing scalable solutions for heterogeneous networks and big data challenges.
