Prof. Si-Hyeon Lee 

• E-mail: sihyeon@kaist.ac.kr

• Short bio: Si-Hyeon Lee is an Associate Professor in the School of Electrical Engineering of KAIST, South Korea. She received the B.S. (summa cum laude) and Ph.D. degrees in Electrical Engineering from KAIST, in 2007 and 2013, respectively. From 2014 to 2016, she was a Postdoctoral Fellow in the Department of Electrical and Computer Engineering at the University of Toronto, Canada. Before joining KAIST EE, she was an Assistant Professor in the Department of Electrical Engineering, POSTECH. 

• Editorial Service 

  • Associate Editor, IEEE Transactions on Information Theory (2025. 3-)

  • Associate Editor, IEEE Transactions on Communications (2025. 12-) 

  • Guest Editor, IEEE Journal of Selected Areas in Communications (Special issue on Secure Communication, Sensing, and Computation in Future Intelligent Wireless Networks) 

• Selected Awards and Honors

  • Distinguished Lecturer, IEEE Information Theory Society, 2024-25

  • Technical Innovation Award, KAIST, 2022 

  • Senior Member, IEEE, 2021 

  • Research Highlights, KAIST, 2021 

• Selected Conference Service 

  • Tutorial Chair, IEEE ITW 2030 

  • Tutorial Chair, IEEE ISIT 2028 

  • Travel Grant Chair, IEEE ICC 2027 

  • Workshop Chair, Wiopt ISAC 2026 

  • TPC Chair, IEEE ITW 2024

  • TPC Member, IEEE ISIT 2025-26

  • TPC Member, IEEE MeditCom 2026 

  • TPC Member, IEEE ITW 2021-23

• Selected Invited Talks 

  • Tutorial, IEEE ISIT 2025@Ann Arbor, USA (Title: A Unified Framework for Network Information Theory)

  • Invited Lecture, Croucher Summer Course in Information Theory 2025@Hong Kong, China (Title: Privacy-preserving statistical inference and machine learning with differential privacy) 

  • Keynote Speech, Women in Information and Coding Theory Workshop 2025@Linköping, Sweden (Title: Privacy-preserving data utilization with differential privacy) 

  • Invited Seminar, IEEE European School of Information Theory 2024@Eindhoven, Netherlands (Title: Communication-efficient private distribution estimation via combinatorial designs) 

• Teaching

  • [Information and Coding Theory] Spring 2017-19 

  • [Signals and Systems] Fall 2017-19

  • [Introduction to Information Theory and Coding] Spring 2020, Fall 2021-22, Fall 2025

  • [Probability and Introductory Random Processes] Fall 2020, Fall 2023-24 

  • [Engineering Random Processes] Spring 2021-26