Area 1: Learning for PHY/MAC Communications & Signal Processing
Zhu Han
University of Houston, USA
Karim Seddik
American University of Cairo, Egypt
Boya Di
Peking University, China
Jun Zhang
Hong Kong University of Science and Technology, Hong Kong
Arash Behboodi
Qualcomm
Sinem Coleri
Koc University, Turkey
Area 2: Network Optimization and Resource Management
E. Veronica Belmega
Universite Gustave Eiffel, France
Murat Yuksel
University of Central Florida, USA
Carlo Fischione
KTH Royal Institute of Technology, Sweden
Yang Zhang
Nanjing University of Aeronautics and Astronautics, China
Eirini Eleni Tsiropoulou
University of New Mexico, USA
Mohammad Mozaffari
Ericsson, Santa Clara, USA
Anne Savard
IMT Nord Europe, France
Area 3: Distributed Learning and AI at the Network Edge
Kaibin Huang
University of Hong Kong, Hong Kong
Nguyen Tran
University of Sydney, Australia
Cong Shen
University of Virginia, USA
Nikolaos Pappas
Linköping University, Sweden
Guanding Yu
Zheijang University, China
Mingzhe Chen
University of Miami, USA
Area 4: Emerging Technologies
(e.g., sensing and control, drones, vehicular, semantic communications, quantum networks, etc.)
Jemin Lee
Sungkyunkwan University, South Korea
Joel Rodrigues
Senac Faculty of Ceará, Brazil; Instituto de Telecomunicações, Portugal
Joongheon Kim
Korea University, South Korea
Yansha Deng
King’s College, UK
Aly El Gamal
Purdue University, USA
Zhaohui Yang
Zheijang University, China
Area 5: Learning & Network Security
Georges Kaddoum
ETS, Canada
Antonio Loureiro
Universidade Federal de Minas Gerais, Brazil
Kai Zeng
George Mason University, USA
Sandra Scott-Hayward
Queen’s University Belfast, Northern Ireland
Güneş Karabulut-Kurt
Polytechnique Montréal, Canada
Elias Bou Harb
University of Texas – San Antonio, USA