Algorithms and large-scale optimization methods that make training and adapting very large AI models faster and more resource-efficient.
Hyperscale AI · Large-Scale Optimization
Continual Learning · Many-Task Learning
Learning across many devices and servers without centralizing raw data, with attention to communication cost and security.
Federated Learning · Secure Aggregation · IoT Edge-Cloud
Theory and algorithms for sequential decision-making, including multi-agent and federated settings.
Multi-Agent RL · Federated RL · Robust RL
Learning-based design and statistical signal processing for next-generation wireless communication systems.
Movable Antennas · MIMO · Beamforming
Signal Processing · 6G
We are actively looking for motivated graduate students interested in machine learning, reinforcement learning, wireless communications, or optimization.
Openings for AI Algorithms/Optimizations and Reinforcement Learning in the Graduate School of Artificial Intelligence Semiconductor (인공지능반도체 대학원)
Openings for Machine Learning (Continual Learning/Federated Learning/Many-Task Learning) and 6G Communications in the Department of Electronic Engineering (BK21, Beyond-G Global Innovation Center)
[October 2026] W. Ko, Y. Jeong, S.-W. Hong, and S. Hong, "LyMARL: A Lyapunov-Guided Multi-Agent Reinforcement Learning Framework for Energy-Aware Radio Resource Management," IEEE Internet of Things Journal, vol. 13, no. 19, pp. 45702-45715, Oct. 2026.
[September 2026] U. Hwang and S. Hong, "RoFEH: Robust Federated Reinforcement Learning Under Environment Heterogeneity," accepted to IEEE Transactions on Neural Networks and Learning Systems.
[September 2026] H.-G. Joo, S. Lee, S. Hong, and D.-J. Shin, "Hi-SAFE: Hierarchical Secure Aggregation for Lightweight Federated Learning," IEEE Internet of Things Journal, vol. 13, no. 18, pp.42881-42896, Sep. 2026.
[July 2026] U. Hwang and S. Hong, "Scalable and Robust Reinforcement Learning through Expectile Regression," accepted to IEEE Transactions on Neural Networks and Learning Systems.
[March 2026] S.-W. Hong, Y. Jeong, U. Hwang, and S. Hong, "QIPPO/CA: A Quantized Communication-Efficient MARL Framework for Fully Distributed Channel Access in Next-Generation Wireless Networks," IEEE Internet of Things Journal, vol. 13, no. 5, pp. 8615-8627, Mar. 2026.
[October 2026] W. Ko, Y. Jeong, and S. Hong, "State-Augmented Learning for Post-Deployment Adaptation of Coexisting O-RAN Applications," submitted to IEEE Transactions on Mobile Computing.
[October 2026] Y. Jeong, W. Ko, and S. Hong, "Learning to Coexist: Asymmetrically Constrained Multi-Agent Reinforcement Learning for Conflicting Applications in Open RAN," submitted to IEEE Transactions on Communications.
[October 2026] W. Choi, Y. Tae, J. Lee, and S. Hong, "Learning Channel Fields from TDD Estimates for Online Positioning of Movable Antenna Arrays," submitted to IEEE Transactions on Communications.
[September 2026] W. Choi, Y. Tae, J. Lee, and S. Hong, "CSI-Free Positioning of Movable Antennas for IoT Networks: A Compositional Kernelized Bandit," submitted to IEEE Internet of Things Journal.
[September 2026] W. Choi, Y. Tae, J. Lee, and S. Hong, "Positioning a Movable Antenna Without CSI: A Kernelized Bandit Under Costly Movement," submitted to IEEE Transactions on Wireless Communications.
[September 2026] Y. Tae, J. Lee, and S. Hong, "Online Movable Antenna Repositioning Under Movement Delay and a Long-Term Energy Budget," submitted to IEEE Transactions on Communications.
[September 2026] S.-W. Hong and S. Hong, "Long-Term Sensing and Per-Slot QAM Communication in 1-Bit Massive MIMO-DFRC," submitted to IEEE Transactions on Vehicular Technology.
[September 2026] Y. Jeong, W. Ko, S.-W. Hong, and S. Hong, "Heterogeneous Multi-Agent Reinforcement Learning for Radio Resource Management under Coupled Finite-Horizon Constraints," submitted to IEEE Internet of Things Journal.
[September 2026] H.-G. Joo, S. Hong, and D.-J. Shin, "TierSecAgg: Tier-Stratified Secure Aggregation for SignSGD-Based Hierarchical Federated Learning in IoT Edge-Cloud Systems," submitted to IEEE Internet of Things Journal.
[July 2026] W. Choi, J. Lee, and S. Hong, "Scalable Rate-Splitting Precoding via Recurrent Structure-Preserving Graph Neural Networks," submitted to IEEE Transactions on Wireless Communications (Major Revision).
[April 2026] J. Lee, J. Seong, S. Hong, W. Shin, and M. Z. Win, "Near-Field Propagation Delay-Enabled RIS for Beam-Squint Control in Wideband LEO Satellite Communications," submitted to IEEE Transactions on Wireless Communications (Major Revision).
[January 2026] W. Choi, J. Lee and S. Hong, "CSIT-Free Beamforming for Multi-Group Multicast in Overloaded mmWave Systems," submitted to IEEE Transactions on Wireless Communications.
Location: Koo Ja-Kyum Mech. Eng. Bldg., Room 1019, Hanyang University
222 Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea
Email: snhong at hanyang dot ac dot kr