Dr. Zhu Han, Professor of Electrical and Computer Engineering, IEEE Distinguished Lecturer and Fellow

Cullen College of Engineering, Department of Electrical and Computer Engineering

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• Areas of expertise

  • Signal processing and security
  • Smart grid
  • Big data
  • Game theory

• Awards

  • IEEE Distinguished Lecturer, 2015-2016. Best Paper Award 2016, IEEE Journal on Selected Areas on Communications (IEEE Leonard G. Abraham Prize in the field of Communications Systems).
  • Best Paper Award, IEEE International Conference on Communications, Kuala Lumpur, Malaysia, 2016.
  • Best Paper Award, IEEE International Conference on Communication Systems, Shengzhen, China, 2016.
  • Best Paper Award 2015 EURASIP Best Paper Award for the Journal on Advances in Signal Processing.
  • Best Paper Award, IEEE International Conference on Communications, London, UK, 2015.
  • Best Paper Award, IEEE Globe Communication Conference, Austin, Texas, 2014.
  • Best Paper Award, IEEE Wireless Communication and Networking Conference, Shanghai, China, 2013.
  • Best Paper Award, IEEE International Conference on Smart Grid Communications, Tainan, Taiwan, 2012.
  • Best Paper Award, International Conference on Wireless Communications and Signal Processing (WCSP), Huangshang, China, 2012.
  • Best Paper Award, Two in IEEE Wireless Communication and Networking Conference, Paris, France, 2012.
  • The 2011 IEEE Communications Society Fred W. Ellersick Prize, IEEE Wireless Communications Magazine Best Paper Award.
  • Award for Excellence in Research & Scholarship, the highest level (2 awardees per year) in University of Houston, 2011 and 2015.
  • NSF Career Award, 2010. Best Paper Award, IEEE International Conference on Communications, Dresden, Germany, 2009.
  • Best Paper Award, 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, (WiOpt09), South Korea, 2009.

• Publications

  • Zhu Han and K. J. Ray Liu, Resource Allocation for Wireless Networks: Basics, Techniques, and Applications, Cambridge University Press, UK, April, 2008.
  • Ekram Hossain, Dusit Niyato, and Zhu Han, Dynamic Spectrum Access and Management in Cognitive Radio Networks, Cambridge University Press, UK, 2009.
  • Zhu Han, Dusit Niyato, Walid Saad, Tamer Basar, and Are Hjørungnes, Game Theory in Wireless and Communication Networks: Theory, Models and Applications, Cambridge University Press, UK, 2011.
  • Zhu Han, Husheng Li, and Wotao Yin, Compressive Sensing for Wireless Networks, Cambridge University Press, UK, 2013 (Chinese version by Tsinghua University Press Limited 2014).
  • Lingyang Song, Dusit Niyato, Zhu Han, and Ekram Hossain, Wireless Deviceto-Device Communications and Networks, Cambridge University Press, UK, 2015 (Chinese version by China Machine Press 2016).
  • Zhu Han, Mingyi Hong, and Dan Wang, Signal Processing and Networking for Big Data Applications, Cambridge University Press, UK, 2017.
  • Lingyang Song, Risto Wichman, Yonghui Li, and Zhu Han, Full-Duplex Communications and Networks, Cambridge University Press, UK 2017.
  • Zhu Han, Dusit Niyato, Walid Saad, and Tamer Basar, Game Theory for NextGeneration Wireless and Communication Networks: Modeling, Analysis, and Design, contract with Cambridge University Press, UK.

  More publications available in CV below or Dr. Zhu Han's home page

   

• Patents

  • None available.

• Grants and Funded Research

  • Principal Investigator of “NeTS: Small: Collaborative Research: Hierarchical Framework with Distributed Resource Allocation for Mobile Fog Computing,” collaborative with University of North Carolina at Charlotte, National Science Foundation, $249,999, out of $500,000, CNS-1717454, 2017-2020.
  • Principal Investigator of “Collaborative Research: Energy-Efficient Heterogeneous Network Virtualization with Spectrum-Power Trading,” collaborative with Georgia Tech., National Science Foundation, $200,000, out of $500,000, CNS- 1731424, 2017-2020.
  • CO-Principal Investigator of “WiFIUS: Collaborative Research: Ambient ReScatter Inspired Machine Type Communication for Heterogeneous IoT Systems,” collaborative with Aalto University, Finland, National Science Foundation, $150,000, out of $300,000, CNS-1702850, 2017-2019.
  • CO-Principal Investigator of “CPS: Synergy: Collaborative Research: DEUS: Distributed, Efficient, Ubiquitous and Secure Data Delivery Using Autonomous Underwater Vehicles,” collaborative with Missouri University of Science and Technology, National Science Foundation, $150,000, out of $600,000, CNS-1646607, 2016-2019. 5.
  • Principal Investigator of “EARS: Collaborative Research: Full-Duplex Cognitive Radio: A New Design Paradigm for Enhancing Spectrum Usage,” collaborative with Rice University, National Science Foundation, $200,000, out of $400,000, ECCS-1547201, %100 credit, 2015-2018.
  • Principal Investigator of “Collaborative Research: WiFiUS: Heterogeneous Resource Allocation for Hierarchical Software-Defined Radio Access Networks at the Edge,” collaborative with Arizona State University, University of Oulu, VTT Finland, National Science Foundation, $140,000, CCF-1456921, 2015-2017.
  • Principal Investigator of “Collaborative Research: Proactive Recovery of Electric Power Assets for Resiliency Enhancement (PREPARE)”, collaborative with University of Denver, National Science Foundation, CMMI-1434789, funded, $249,999 out of a total of $500,000, 2014-2017.
  • Principal Investigator of “EARS: Collaborative Research: Laying the Foundations of Social Network-Aware Cellular Device-to-Device Communications”, collaborative with University of Florida and Virginia Tech., National Science Foundation, CNS-1443917, funded, $234,001 out of a total of $680,000, 2015-2017. 9.
  • Principal Investigator of “Collaborative Research: CCSS: D2D Wireless Networks: An Interference Nightmare or Resource Allocation Auspice,” collaborative with Georgia Tech, , National Science Foundation, ECCS-1405121, funded, $185,000 out of a total of $370,000, 2014-2017.
  • Principal Investigator of “EAGER: Collaborative Research: Joint Adaptation of Multiple Cognitive Systems without Explicit Coordination”, collaborative with Virginia Tech., National Science Foundation, CNS-1265268, funded, $150,000 out of a total of $500,000, 2013-2015.

  More grants available in CV below.

   

• Curriculum Vitae

  • Zhu Han CV

• Contact information