CoSINE Lab

“Collaborative & Secure Intelligence in NextG Edge”

  • At the University of Florida, the CoSINE Lab (Collaborative and Secure Intelligence in NextG Edge) pioneers research at the intersection of wireless networking, edge computing, and collaborative intelligence. Our mission is to design resilient, efficient, and secure AI-driven systems that operate reliably under real-world constraints such as limited bandwidth, dynamic connectivity, and adversarial threats. We focus on advancing next-generation wireless and edge-cloud collaboration through innovations in federated learning, distributed optimization, secure adaptation, and intelligent resource management. By blending theoretical advances with experimental validation, CoSINE Lab develops scalable and trustworthy edge intelligence that supports applications in autonomous systems, healthcare, smart infrastructure, industrial automation, and beyond.

 

Faculty

  • Jie Xu, Ph.D., Associate Professor
  • Dr. Xu received his. Ph.D. in Electrical Engineering from University of California, Los Angeles (UCLA) in 2015, with a Distinguished Ph.D. Dissertation Award (advisor: Prof. Mihaela van der Schaar). He received his B.S. and M.S. degrees in Electronic Engineering from Tsinghua University, China, in 2008 and 2010, respectively (advisor: Prof. Zhisheng Niu). Prior to joining the University of Florida as an Associate Professor in 2024, Dr. Xu was a faculty member at the University of Miami. Dr. Xu’s research interest includes edge computing, edge artificial intelligence, wireless networks, machine learning for communication networks, and network security. He is a recipient of the NSF CAREER award. 

 

Ph.D. Students

  • Jieming Bian
  • Yin Huang
  • Lei Wang
  • Yuanzhe Peng
  • Yuxuan Xie
  • Ziyuan Lin (Co-advised with Prof. Ivan Ruchkin)

 

Ph.D. Alumni

Thesis title: Learning and Optimization in Mobile Edge Computing
First Job Placement: Assistant Professor at Shanghai Jiao Tong University, China. 

  • Dr. Yang Bai 

Thesis title: Automated Model Selection for Deep Learning Inference at Network Edge
First Job Placement: Research Associate at Shanghai Jiao Tong University, China. 

Thesis title: Collaborative Wireless Deep Learning System for Edge Intelligence
First Job Placement: Assistant Professor at Middle Tennessee State University.

  • Dr. Heqiang Wang

Thesis title: Online Optimization for Federated Learning with Streaming Data
First Job Placement: Research Scientist at Peng Cheng Laboratory, China.