Dr. Jonggyu Jang is an assistant professor in the Department of Electronics Engineering, Chungnam National University, since 2025 Sept. Before, I received the B.Sc. and Ph.D. degrees from the Ulsan National Institute of Science and Technology (UNIST) in 2017 and 2021, respectively. I was fortunate to be advised by Prof. Hyun Jong Yang. I was a postdoctoral researcher at POSTECH from 2021 to 2024. From 2024 to 2025, I was a postdoctoral researcher in the Department of Electrical and Computer Engineering, Seoul National University (SNU). From 2024 to 2025, I was a visiting scholar in the Department of EECS, Purdue University.
I am also open to collaborating to explore AI-and-Networking research topics, such as federated learning, over-the-air computing, radio resource management, AI-based signal processing, semantic communication, and AI-RAN.
Email: jgjang at cnu dot ac dot kr
2017.03 - 2021.02 Ph.D. Ulsan National University of Science and Technology (UNIST) in Electrical Engineering
2012.03 - 2017.02 B.Sc. Ulsan National University of Science and Technology (UNIST) in Electrical Engineering
2025.09 - Present Assistant Professor Chungnam National University
2024.11 - 2025.07 Visiting Scholar Purdue University
2024.10 - 2025.02 Postdoc Researcher Seoul National University
2021.03 - 2024.08 Postdoc Researcher Pohang University of Science and Technology (POSTECH)
[2023] KICS Winter Conference Best Paper
[2023] POSTECH PIURI Postdoctral Fellowship, 54,000,000 KRW (POSTECH)
[2022] Korea Aerospace Industries Paper Award, 3,000,000 KRW (KAI)
[2020] Naver Ph.D Fellowship, 5,000,000 KRW (NAVER)
[2012] Oversea Studies Scholarship, 5,000,000 KRW (UNIST)
[Oct. 2023] KICS 6G RI Special Session @ KICS
Topic: Optimization of AI Service Offloading in 6G Wireless Networks via Radio Resource Management
[May. 2023] EE Seminar @ UNIST
Topic: Innovations in 6G: Convergence of AI and Communications
[Feb. 2023] SNU-POSTECH Communications Workshop @ SNU
Topic: Resource Allocation for Green Communications
[May. 2022] DGIST-POSTECH Privacy Preserving ML Workshop @ DGIST
Topic: Machine learning with differential privacy
[May. 2022] POSTECH Communication Technology Workshop @ POSTECH
Topic: AI-inspired scalable resource management for dynamic networks
[Dec. 2021] POSTECH EE Seminar @ POSTECH
Topic: Deep Learning-Based User Scheduling in Wireless Networks
[Jun. 2021] POSTECH EE Seminar @ POSTECH
Topic: Deep Learning-Based Resource Allocation in Wireless Networks
IEEE Journal on Selected Areas in Communications
IEEE Transactions on Wireless Communications
IEEE Transactions on Mobile Computing
IEEE Transactions on Communications
IEEE/ACM Transactions on Networking
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Vehicular Technology
IEEE Wireless Communications Letters
IEEE Communications Letters
Elsevier ICT Express
IEEE ICC (2022, 2025, 2026)
IEEE ROBOCOM (2025, 2026)
IEEE CCNC (2023, 2024, 2025, 2026)
IEEE GLOBECOM (2023)
IEEE VTC (2023)
IEEE WCNC (2025)
IEEE INFOCOM Poster (2024)
NeurIPS Main Track (2024, 2025)
NeurIPS Dataset Track (2023, 2024)
NeurIPS MI Workshop (2024)
AAAI (2026)
ICML (2025)
ICLR (2025, 2026)
AISTATS (2025, 2026)
IEEE ICC (2023, 2025, 2026)
IEEE ROBOCOM (2025, 2026)
IEEE CCNC (2023, 2024, 2025, 2026)
IEEE INFOCOM Poster (2024)
KICS Journal
Journal of Communications and Networks (JCN, Guest Editor)