Il-Min Kim PhD, P.Eng

Professor; Chair of Undergraduate Studies for Electrical Engineering

Faculty, Electrical and Computer Engineering
Phone: 613-533-6000 ext. 77672
Walter Light Hall, Room: 422

Expertise: Deep Learning, AI, Communications, Signal Processing
Il-Min Kim
Biography Research Teaching Publications

Il-Min Kim received the B.S. degree in electronics engineering from Yonsei University, Seoul, Korea, in 1996, and the M.S. and Ph.D. degrees in electrical engineering from the Korea Advanced Institute of Science and Technology (KAIST), Taejon, Korea, in 1998 and 2001, respectively. From July 1997 to Aug. 2001, he worked as a Member of Technical Staff at the Electronics and Telecommunications Research Institute (ETRI). From October 2001 to August 2002 he was with the Dept. of Electrical Engineering and Computer Sciences (EECS) at Massachusetts Institute of Technology (MIT), Cambridge, USA, and from September 2002 to June 2003 he was with the Dept. of Electrical Engineering at Harvard University, Cambridge, USA, as a Postdoctoral Research Fellow. In 2003, he joined the Dept. of Electrical and Computer Engineering at Queen's University, Kingston, Canada, as Assistant Professor. In 2009, he was promoted to the rank of Associate Professor and in 2014 he was promoted to the rank of Full Professor. He is currently Director of Wireless Artificial Intelligence Laboratory (WAI lab). 

His research interests are mainly in deep learning (including federated learning, distributed learning, continual (lifelong) learning, self-supervised learning, contrastive representation learning), AI for IoT/IoE/IIoT/Mobile Crowd Sensing (MCS), AI-driven 6th generation (6G) wireless systems, AI-driven vehicle to everything (V2X) communications, Geoscience AI (Geo-AI).

He holds a number of patents either issued or pending in U.S., Japan, Germany, and Korea. He received a number of awards including President Award, the Korean Federation of Science and Technology Societies (KOFST) in 2021, Best Paper Award at UBICOMM 2014, the Best Young Alumnus award from KAIST in 2004, Gold prize of 2001 Samsung International Paper Contest, and Bronze Prize of 1999 IEEE-Korea Section Paper Contest. At Queen's University, he also received many awards including ECE Best Professor Awards in 2016, 2011, 2008, 2006, and 2005. He has served as Editor for IEEE Transactions on Wireless Communications, IEEE Wireless Communications Letters, and Journal of Communications and Networks (JCN). 

He is a Senior Member of IEEE and a registered Professional Engineer with Professional Engineers Ontario (PEO). He served as Vice-Chair, Programme, for IEEE Kingston Section in 2008.

Research Interests

  • Federated learning, distributed learning/computing
  • Continual (lifelong) learning
  • Self-supervised learning, contrastive representation learning
  • AI for IoT, IoE, IIoT, Mobile Crowd Sensing (MCS)
  • AI-driven 6th generation (6G) wireless systems
  • AI-driven vehicle to everything (V2X) communications
  • Geoscience AI (Geo-AI)

For more information about Dr. Kim's research, visit the Wireless Artificial Intelligence Lab (WAI Lab) page. Also, visit the Ingenuity Labs Research Institute

Undergraduate Teaching

  • Final Year Project (ELEC 490): 2003-current
  • Probability and Random Processes (ELEC 326): 2019
  • Signals and Systems I (ELEC 224): 2020, 2021, 2022, 2023
  • Signals and Systems I (ELEC 323): 2004, 2006, 2007, 2008, 2018
  • Wireless Communications (ELEC 464): 2011, 2012
  • Fundamentals of Electromagnetics (ELEC 280): 2004, 2005, 2006, 2007, 2008, 2009, 2011, 2012, 2013, 2014, 2015, 2016, 2018
  • Electricity and Magnetism (APSC 112) for CEEE-I Stream: 2016, 2018, 2019

Graduate Teaching

  • MIMO Communications Systems (ELEC 869): 2004, 2005, 2007, 2009, 2010, 2012, 2014, 2017, 2019
  • Digital Communication (ELEC 867): 2006, 2008, 2011, 2013, 2015, 2018, 2021, 2022, 2023

To view Dr. Kim's publications, please visit the Wireless Artificial Intelligence lab (WAI lab) page.

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