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Youngwook Ko


Former affiliation

Accepting PhD Students

PhD projects

New PhD offer:
(1) Multiple access airborne networks for 6G NTN;
(2) Mega-evolvable random networks with explainable reinforcement learning;
(3) Unlocking sidelink potentials for digital twins.

For PhD enquires:
If you are interested in my research to do the thesis as a PhD student, please email me your resume with information on, e.g., school from which you graduated, your final grade/GPA, relevant courses taken in communications and signal processing or related areas, as appropriate. I will get back to you if we have common research interests.

Personal profile


Dr. Ko received Ph.D. in 2006 and M.S. in 2002, in Electrical Engineering from Arizona State University, Tempe, AZ USA, and B.S.E. in Information and Communications Engineering from Hannam University, South Korea. Since 2019, he has been working for the Department of Electronic Engineering, University of York, Heslington, York in the UK, as a senior lecturer. Prior to this, Dr Ko worked at several places. In 2007, he joined Samsung Elec. Co., as a senior research engineer. In 2008, he returned to academia as a postdoctoral fellow in Electrical and Computer Engineering at the University of Alberta, Canada. He worked in the CCSR/5GiC, University of Surrey, UK, between 2010-2013 as a research fellow and then senior fellow. Between 2013-2019, Dr. Ko worked for the ECIT Institute at the Queen's University Belfast, as a lecturer. He has authored or co-authored over 50 publications, mainly in highly ranked IEEE international journals and at peer-reviewed IEEE flagship conferences. Dr Ko is the recipient of several EPSRC grants (e.g., EPSRC First Grant Award). He is on the Editorial Boards of the IEEE Open Journal of Vehicular Technology (OJVT) and the Elsevier Journal on Physical Communications and act as a full member of the EPSRC Peer Review College. Dr Ko has actively been involved in the technical programme committee for major international conferences (e.g., PIMRC2013-present, VTC2013-present, Globecom2017). 

Research interests

Main research interests are in areas of machine learning and advanced signal processing for wireless communications, including the following:

  • Machine learning and communication principles
  • Multi-dimensional index modulation (IM) for 6G communications
  • Machine/Reinforcement learning multiple access  
  • Interactive autonomous MTC systems 
  • Multiple access edge-computing (MAEC) 

For details, visit here.

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or