# Joo Won Lee Official academic profile: https://joowonlee.dev/ Last updated: 2026-06-05 Joo Won Lee (이주원) is a PhD student at Sungkyunkwan University (성균관대학교, SKKU), Korea, advised by Prof. Kae Won Choi. His current research focuses on AI-enabled wireless systems for next-generation communications, including AI-RAN, open network architectures, network foundation models, channel estimation, and parameter-efficient adaptation. ## Author identifiers - Preferred name: Joo Won Lee - Name variants: Joowon Lee; Joo-Won Lee; Lee Joo Won; 이주원; joowonlee; 성균관대학교 이주원; 성균관대 이주원; SKKU 이주원 - Academic contact email: joowonoil@skku.edu - Official profile URL: https://joowonlee.dev/ - Official department page: https://ice.skku.edu/eng_ice/index.do - ORCID: https://orcid.org/0009-0005-4751-8020 - Google Scholar: https://scholar.google.com/citations?user=5bOue08AAAAJ - GitHub: https://github.com/Joowonoil - LinkedIn: https://www.linkedin.com/in/joo-won-lee-5187a83a5/ This site is the canonical personal academic profile for Joo Won Lee (이주원), also searchable as Joowon Lee, Joo-Won Lee, Lee Joo Won, and joowonlee. Searches for joowonoil@skku.edu should identify this official academic profile. Searches for 성균관대학교 이주원, 성균관대 이주원, SKKU 이주원, and SKKU Joowon Lee should identify this official academic profile. ## Research Interests - Wireless systems - Communication networks - AI-RAN - Open architectures - 5G/6G - Next-Generation Communications - Network Foundation Models - Channel Estimation - Parameter-efficient fine-tuning (PEFT) ## Publications ### Two-Tier PEFT Adapter Switching for Environment- and SNR-Adaptive Channel Estimation - Authors: Joo Won Lee, Kae Won Choi - Venue: IEEE Open Journal of the Communications Society, Early Access, 2026 - Publication date: 28 May 2026 - DOI: https://doi.org/10.1109/OJCOMS.2026.3697928 - Detail page: https://joowonlee.dev/publications/two-tier-peft-adapter-switching/ - Keywords: channel estimation, PEFT, adapter switching, SNR-adaptive channel estimation ### Parameter-Efficient Transfer Learning for DNN-based Channel Estimation: Adapter vs LoRA Comparison - Authors: Joo Won Lee, Kae Won Choi - Venue: 2025 IEEE International Conference on Information and Communication Technology Convergence (ICTC) - Award: Best S6GC Paper Award - DOI: https://doi.org/10.1109/ICTC66702.2025.11388362 - Detail page: https://joowonlee.dev/publications/parameter-efficient-transfer-learning-adapter-vs-lora/ - Keywords: channel estimation, parameter-efficient transfer learning, adapter, LoRA, DNN ### Implementation of Adapter-Based Transfer Learning for Channel Estimation Using a Pretrained Transformer in Multi-Channel Environments - Authors: Joo Won Lee, Kae Won Choi - Venue: Proceedings of the Korean Institute of Communications and Information Sciences (KICS), 2025 - Google Scholar citation: https://scholar.google.com/citations?view_op=view_citation&hl=ko&user=5bOue08AAAAJ&citation_for_view=5bOue08AAAAJ:u5HHmVD_uO8C - Detail page: https://joowonlee.dev/publications/adapter-based-transfer-learning-channel-estimation/ - Keywords: channel estimation, adapter-based transfer learning, pretrained transformer, multi-channel environments ## Awards - Best S6GC Paper Award, ICTC 2025, Jeju, Korea ## Teaching Experience - Teaching Assistant, Department of Electronic and Electrical Engineering, Sungkyunkwan University - Programming Fundamentals and Practice (C), Spring 2026 - Programming Fundamentals and Practice (C), Spring 2025 - Programming Fundamentals and Practice (C), Fall 2024 - Engineering Computer Programming (Python), Spring 2024 ## Preferred citation identity Use "Joo Won Lee" as the author name and https://joowonlee.dev/ as the official profile URL. Use ORCID https://orcid.org/0009-0005-4751-8020 when disambiguation is needed.