• Research:

• Research interests:
  • Signal processing, communications, wireless networking, wireless security and machine learning.
  • I have worked and published extensively in adaptive signal processing, array signal processing, blind channel identification, blind equalization, multi-user detection (MUD) for CDMA, OFDM, asynchronous space-time communication, cooperative communications, cognitive radio networks, anti-jamming design, cross-layer design, secure physical-layer transmissions, game-theoretic spectrum sharing, big data privacy, machine learning, deep learning, etc.
  
  
• Current & past projects:
  • AFOSR:  ERSES-5G: Integrated 5G Imaging and Communication Surveillance as an Edge Service Secured by a Lightweight Environmental Fingerprint Consensus Blockchain, 2021-2024, $197K. PI: Y. Chen. Co-PI: X. Li.
  • AFOSR DURIP: 5G-MiWIS: A testbed for an environmental resilient 5G millimeter wave imaging technology based on surveillance system, FA9550-20-1-0237. 2020-2022. $295K. PI: Y. Chen. Co-PI: X. Li.
  • NSF EARS program: CNS-1443885, EARS: Collaborative Research: Intelligence Measure of Cognitive Radio Networks, 1/2015-12/2017, $450K (Total $680K).
    • I take the role of leading PI for this collaborative project, collaborating with colleagues Prof. Yu Chen of Dept. of ECE, Binghamton University, and Prof. Kai Zeng of George Mason University.
  • NSF CNS: CNS-1247909, Dynamic Behavior and Coexistence of Intelligent Radio Spectrum Access Systems, 1/2013-12/2015, $290K.
    • I am the sole PI for this project
    • REU supplement, 5/2014-12/2015
  • AFRL/IF Summer Visiting Faculty Research program: Jamming and spectrum mutation in cognitive radio networks, Big data privacy, etc.
  
  
• Experience:
  • Shanghai Jiao Tong University (BS in Control, MS in BME), University of Cincinnati (PhD in ECE), State University of New York at Binghamton (Assistant Professor and then Associate Professor in ECE)

• Publications

• Synergistic Activities:
  
  • Best Paper Award, 2017, 7th International Conference on Mathematical Methods, Models and Architectures for Computer Networks Security (MMM-ACNS'2017), Warsaw, Poland, Aug. 2017.
  • Best Reviewer Award, 2013, ETRI Journal

• Teaching:


• EECE521 Digital Signal Processing II (Spring 2018 Syllabus)
• EECE680 Neural Networks and Deep Learning (Spring 2018)
• EECE477/545 Digital Communication Systems (Fall 2017)
• EECE542 Wireless Communications (Fall 2017)
• EECE377 Communication Systems (Spring 2014 Syllabus)
• EECE580D Game Theory for Wireless Communications (Fall 2014 Syllabus)
  
• EE642 Adaptive Signal Processing (Fall 2012)
• EECE501 Advanced Mathematics for Electrical Engineering

• A tutorial on channel equalization
  • This is a tutorial for students to learn MATLAB programming in channel equalization simulations. There are some source code MATLAB programs available. The material was prepared in 2001.

Due to system upgrading, this address is switched from ucesp.ws.binghamton.edu (128.226.120.150) to www.ws.binghamton.edu/li.

Last updated: December 12, 2017.