Honggang ZHANG Ph.D.
1. Professor
    College of Information Science & Electronic Engineering (ISEE) 
    Zhejiang University - 
    Zheda Road 38, Hangzhou 310027, CHINA
2. International Chair Professor of Excellence (12/2012 - 12/2014)
    CominLabs Excellence Center (Laboratoire d'Excellence) -
    Université Européenne de Bretagne (UEB) -
    Rennes, FRANCE
3. Honorary Visiting Professor
    The University of York, UK - 
Tel: +86-571-87952022
(Note: Updated in June 2018)

     Dr. Honggang ZHANG - Full Professor, College of Information Science and Electronic Engineering; Co-Director, York-Zhejiang Lab for Cognitive Radio and Green Communications; Zhejiang University, China; International Chair Professor of Excellence (12/2012 -12/2014), CominLabs Excellence Center (Laboratoire d'Excellence) -, Université Européenne de Bretagne (UEB, & Supélec, France; Honorary Visiting Professor, the University of York, UK. 
    Dr. Honggang ZHANG received the Ph.D. degree in Electrical Engineering from Kagoshima University, Japan, in March 1999. Prior to that, he received the Bachelor of Engineering and Master of Engineering degrees, both in Electrical Engineering, from Huazhong University of Science & Technology (HUST), China, in 1989, and Lanzhou University of Technology, China, in 1992, respectively. From October 1999 to March 2002, he was with the Shin-Kawasaki Research Center, Telecommunications Advancement Organization (TAO) of Japan, as a TAO Research Fellow. From April 2002 to November 2002, he joined the TOYOTA IT Center, where he performed research and development on software-defined radio (SDR) with applications to Intelligent Transport Systems (ITS). From December 2002 to August 2004, he has been with the UWB Research Consortium, Communications Research Laboratory (CRL) and National Institute of Information and Communications Technology (NICT) of Japan, where his R&D responsibilities were focused on UWB wireless communications, IEEE 802.15.3a & 4a WPAN standardizations, Wireless 1394 and “1394-over-UWB” smart home networks. He was the founding member of UWB Forum and the principle author and contributor for proposing DS-UWB in IEEE 802.15 WPAN standardization task group, for which he initiated the “Soft-Spectrum Adaptation (SSA)” technique and contributed to its worldwide developments. From September 2004 to February 2008, he has been with CREATE-NET (, where he leaded its wireless teams in exploring Cognitive Radio (CR) and its integration with Ultra-Wideband (UWB) technologies for open-spectrum wireless communications and networks evolution (i.e. CR-UWB: Ultra-Wideband Cognitive Radio) while participated a number of European FP6/FP7 projects (EUWB, PULSERS 2). 
    Dr. Honggang ZHANG  has served as the Chair of the Technical Committee on Cognitive Networks (TCCN) of the IEEE Communications Society (ComSoc) during 2011-2012. He is the Co-Chair of IEEE Globecom 2008 Symposium and IEEE ICC 2013 Symposium. He is the founding TPC Co-Chair of CrownCom 2006 (International Conference on Cognitive Radio Oriented Wireless Networks and Communications 2006) and the Steering Committee Member of CrownCom 2006-2009. He is the General Co-Chair of IEEE GreenCom 2010 (The 2010 IEEE International Conference on Green Computing and Communications) and the TPC Co-Chair of IEEE OnlineGreenComm 2014 (The 2014 IEEE Online Conference on Green Communications). 
    Dr. Honggang ZHANG  has been the Lead Guest Editor of the IEEE Communications Magazine feature topic issues on “Green Communications” (2010-2011). He is the Series Editor of IEEE Communications Magazine (Green Communications and Computing Networks Series). He is the co-editor/co-author of two books with the titles of “Cognitive Communications - Distributed Artificial Intelligence (DAI), Regulatory Policy & Economics, Implementation” (Wiley) and “Green Communications: Theoretical Fundamentals, Algorithms and Applications” (CRC Press), respectively.

[Professional Society Activities & Contributions]
Research work

(1) Cognitive radio, cognitive networks & cognitive mesh (CogMesh); (2) Artificial Intelligence (AI), machine learning, wireless Big Data, and neuroscience; (3) Green communications and networks, Green Spectrum; (4) Ultra Wideband (UWB) communication and networks; (5) Consumer communications and smart home networking; (6) WPAN/WMAN/WRAN; (7) Peer-to-Peer (P2P) networking and applications; (8) Advanced radio propagation channel modelling and measurements; (9) Soft-Spectrum Adaptation (SSA); (10) Dynamic Spectrum Access (DSA); (11) Vehicular Communications and Networking.


Phone: 0086-571-89752022