Ph.D. and M.S. Students

Hyunsoo Lee (Ph.D. Student, 03/2021-Present)

• Research Topics: Reinforcement Learning, Mobility Control, Quantum AI

• Journals and Top-Conferences
  Quantum Infidelity Codistillation for Fast and Accurate Distributed Quantum Machine Learning, The Journal of Supercomputing (Springer), 81:1151, July 2025. S. Oh, J. Kim, J. Park, H. Baek, H. Lee, J. Kim, S.-L. Kim
  Quantum Federated Learning with Pole-Angle Quantum Local Training and Trainable Measurement, Neural Networks (Elsevier), 187:107301, July 2025. S. Park, H. Lee, S. B. Son, S. Jung, J. Kim
  Entanglement-Controlled Quantum Federated Learning, IEEE Internet of Things Journal, 12(11):18318-18330, June 2025.  S. Park, H. Lee, S. Jung, J. Park, M. Bennis, J. Kim
  Joint Multi-Agent Reinforcement Learning and Message-Passing for Distributed Multi-UAV Network Management using Conflict Graphs, IEEE/IFIP NOMS (2025) Y. Cho, H. Lee, S. Park, J. Kim

• Publications (Under Review)
  Quantum Jump to Connected Worlds: Paradigm Shifts in Mobility and Network Applications via Quantum Neural Networks, IEEE Network (Review) H. Lee, G. S. Kim, E. J. Roh, S. Jung, S. Park, T. Q. Duong, J. Kim
  Stabilized Multi-Agent Transformer for Carbon-Neutral Task Offloading in Satellite-Ground Integrated Networks, IEEE Internet of Things Journal (Review) H. Lee, S. Jung, J. Kim
  Sustainable 6G Non-Terrestrial Networks: Enabling Net-Zero Operation via Renewable Energy Integration and Intelligent Control, IEEE Communications Magazine (Review) H. Lee, S. Park, S. Jung, J. Kim

Seok Bin Son (Ph.D. Student, 03/2022-Present)

• Research Topics: Neural Architecture Research (NAS), Quantum AI, Large AI Model

• Journals and Top-Conferences
  Quantum Federated Learning with Pole-Angle Quantum Local Training and Trainable Measurement, Neural Networks (Elsevier), 187:107301, July 2025. S. Park, H. Lee, S. B. Son, S. Jung, J. Kim
  Dynamic Quantum Federated Learning for UAV-based Autonomous Surveillance, IEEE Transactions on Vehicular Technology, 74(5):8158-8170, May 2025. S. Park, S. B. Son, S. Jung, J. Kim
  Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution, IEEE Transactions on Green Communications and Networking, 8(1):103-117, March 2024. M. Choi, W. J. Yun, S. B. Son, S. Park, J. Kim
  Two-Stage Architectural Fine-Tuning for Neural Architecture Search in Efficient Transfer Learning, IET Electronics Letters, 59(24):e13066, December 2023. S. Park, S. B. Son, Y. K. Lee, S. Jung, J. Kim
  Entropy-Aware Similarity for Balanced Clustering: A Case Study with Melanoma Detection, IEEE Access, 11:46892-46902, May 2023. S. B. Son, S. Park, J. Kim
  Filtered One-Shot Training for Quantum Architecture Search, ACM CIKM (2025) S. B. Son, S. Y.-C. Chen, J. Kim, S. Park

• Publications (Under Review)
  Federated Quantum Training and Inference: State-of-the-Arts and the Road Ahead, IEEE Communications Magazine (Review) S. B. Son, S. Park, M. Bennis, J. Kim
  Efficient Quantum Neural Architecture Search with Filtered Supernet for Mobile Medical Scenarios, IEEE Transactions on Mobile Computing (Review) S. B. Son, H. Ahn, S. Y.-C. Chen, S. Park, J. Kim

Gyu Seon Kim (Ph.D. Student, 03/2023-02/2026 (Expected)) [Website]

• Research Topics: Autonomous Mobility Control, Reinforcement Learning, Quantum AI

• Journals and Top-Conferences
  Integrated Control, Communication, and Computing for Mission-Critical Embedded Unmanned Aerial Vehicles, IEEE Transactions on Aerospace and Electronic Systems, v(n):ppp-ppp, Month Year. G. S. Kim, S. Park, S. Jung, D. Mohaisen, J. Kim
  Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks, IEEE Transactions on Mobile Computing, v(n):ppp-ppp, Month Year. G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, J. Kim
  Slimmable Federated Reinforcement Learning for Energy-Efficient Proactive Caching, IEEE Transactions on Networking, 33(4):2079-2094, August 2025. H. Baek, G. S. Kim (Co-First), S. Park, A. F. Molisch, J. Kim
  Quantum Multiagent Reinforcement Learning for Joint Cube-Satellites and High-Altitude Long-Endurance Aerial Vehicles in SAGIN, IEEE Transactions on Aerospace and Electronic Systems, 61(4):9490-9510, August 2025. G. S. Kim, Y. Cho, S. Park, S. Jung, J. Kim
  Quantum Reinforcement Learning for Lightweight LEO Satellite Routing, IEEE Internet of Things Journal, 12(14):28986-29004, July 2025. G. S. Kim, S. Lee, I.-S. Cho, S. Park, J. Kim
  Joint Quantum Reinforcement Learning and Neural Myerson Auction for High-Quality Digital-Twin Services in Multitier Networks, IEEE Internet of Things Journal, 12(13):23722-23735, July 2025. S. Park, G. S. Kim, J. Kim
  Markov Decision Policies for Distributed Angular Routing in LEO Mobile Satellite Constellation Networks, IEEE Internet of Things Journal, 11(23):38744-38754, December 2024. S. Park, G. S. Kim (Co-First), S. Jung, J. Kim
  Quantum Multi-Agent Reinforcement Learning is All You Need: Coordinated Global Access in Integrated TN/NTN Cube-Satellite Networks, IEEE Communications Magazine, 62(10):86-92, October 2024. S. Park, G. S. Kim, Z. Han, J. Kim
  Joint Frame Rate Adaptation and Object Recognition Model Selection for Stabilized Unmanned Aerial Vehicle Surveillance, ETRI Journal (Wiley), 45(5):811-821, October 2023. G. S. Kim, H. Lee, S. Park, J. Kim
  Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility, IEEE Transactions on Intelligent Vehicles, 8(8):4016-4030, August 2023. C. Park, G. S. Kim, S. Park, S. Jung, J. Kim
  Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control, IEEE GLOBECOM (2025) H. Ahn, S. Oh, G. S. Kim,S. Jung, S. Park, J. Kim
  Stabilized Robust Control for Lightweight Autonomous Aircraft Mobility: A Quantum Reinforcement Learning Approach, IEE/IFIP WiOpt (2025) G. S. Kim, J. Chung, T. Q. Duong, S. Park, J. Kim
  Quantum Reinforcement Learning for Coordinated Satellite Systems, IEEE ICASSP (2025) G. S. Kim, S. Y.-C. Chen, S. Park, J. Kim
  Advanced Taxiing Path Guidance using Multi-Agent Reinforcement Learning for Air Traffic Management, IEEE/IFIP WiOpt (2024) S. Lee, G. S. Kim, S. Park, J. Kim
  Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility, IEEE ICC (2023) C. Park, S. Park, G. S. Kim, S. Jung, J.-H. Kim, J. Kim

• Publications (Under Review)
  Quantum Reinforcement Learning for Joint Control, Communication, and Computing in Stabilized Reusable Space Rocket, IEEE Transactions on Aerospace and Electronic Systems (Revision) G. S. Kim, J. Chung, S. Jung, S. Park, J. Kim
  Scale-Reconfigurable Multi-Agent Reinforcement Learning for Aerial Networks under Uncertainty, IEEE Transactions on Mobile Computing (Review) G. S. Kim, E. J. Roh, S. Jung, S. Park, J. Kim
  Joint Mobility Control and Networking for Autonomous Aircraft Cooperation: A Quantum Reinforcement Learning Approach, IEEE Transactions on Mobile Computing (Review) G. S. Kim, J. Chung, Roh, S. Jung, S. Park, T. Q. Duong, J. Kim
  Cooperative Multi-Agent Reinforcement Learning for Anti-Drone Systems in Dynamic Battlefield Environments, IEEE Transactions on Aerospace and Electronic Systems (Review) G. S. Kim, W. Jeong, J. Kim
  Quantum Leap for Autonomous Aircraft Control, IEEE Communications Magazine (Review) G. S. Kim, J. Chung, S. Park, S. Jung, T. Q. Duong, J. Kim
  (Double Blind Review), IEEE Transactions on Pattern Analysis and Machine Intelligence (Review) G. S. Kim, E. J. Roh, S. Park, J. Kim
  Quantum Reinforcement Learning for Carbon-Aware Energy-Efficient Air Traffic Control, IEEE Transactions on Intelligent Transportation Systems (Review) G. S. Kim, H. Ahn, J. Kim
  Learning-based Resilient Dynamic Routing for Fault-Tolerant Robust LEO Satellite Networks, IEEE Internet of Things Journal (Review) G. S. Kim, C. Im, Y. G. Kim, J. Ha, J. Kim
  Dynamic Sun Tracking Control for Efficient Solar Power Charging in Sustainable Cube-Satellites, IEEE Transactions on Sustainable Computing (Review) G. S. Kim, S. Park, J. Kim
  (Double Blind Review), IEEE Transactions on Industrial Informatics (Review) G. S. Kim, S. Park, S. Jung, J. Kim
  LLM-Guided Reinforcement Learning for Autonomous Control in Anti-Drone Defense Systems, IEEE Transactions on Aerospace and Electronic Systems (Review) G. S. Kim, S. Park, J. Kim
  Joint Sustainable Control and Quantum Reinforcement Learning for Energy-Efficient Cube-Satellite Networks, IEEE Transactions on Mobile Computing (Revision) S. Park, G. S. Kim, S. Jung, Z. Han, J. Kim
  Hybrid Large Language Model and Reinforcement Learning for Energy-Efficient Multi-Satellite Scheduling: Boosting the Performance from Scratch, IEEE Internet of Things Journal (Revision) H. Ahn, G. S. Kim, I.-S. Cho, S. Jung, J. Kim
  Quantum Jump to Connected Worlds: Paradigm Shifts in Mobility and Network Applications via Quantum Neural Networks, IEEE Network (Review) H. Lee, G. S. Kim, E. J. Roh, S. Jung, S. Park, T. Q. Duong, J. Kim
  Hallucination-Aware Hierarchical LLM for Autonomous UAV Mobility Control: A Safe Reinforcement Learning Approach, IEEE Transactions on Intelligent Vehicles (Review) H. Ahn, S. Oh, G. S. Kim, S. Park, S. Jung, J. Kim

Jaehyun Chung (Ph.D. Student, 09/2023-Present)

• Research Topics: Reinforcement Learning, Finance, Quantum AI

• Journals and Top-Conferences
  Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks, IEEE Transactions on Mobile Computing, v(n):ppp-ppp, Month Year. G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, J. Kim
  Correlation-Assisted Spatio-Temporal Reinforcement Learning for Stock Revenue Maximization, Experts Systems with Applications (Elsevier), 289:128361, September 2025. J. Chung, M. Kim, S. Min, H. Choi, S. Park, J. Kim
  Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse, IEEE Transactions on Mobile Computing, 23(12):12410-12427, December 2024. S. Park, J. Chung, C. Park, S. Jung, M. Choi, S. Cho, J.  Kim
  Stabilized Robust Control for Lightweight Autonomous Aircraft Mobility: A Quantum Reinforcement Learning Approach, IEE/IFIP WiOpt (2025) G. S. Kim, J. Chung, T. Q. Duong, S. Park, J. Kim

• Publications (Under Review)
  Quantum Federated Aggregation using the Parameter-Shift Rule, IEEE Internet of Things Journal (Revision) J. Chung, C. Im, S. Park, J. Kim, W. Lee
  Joint Decision Transformer and Deep Reinforcement Learning for Robust Torpedo Evasion, IEEE Transactions on Systems, Man, and Cybernetics: Systems (Review) J. Chung, H. Ahn, C. Im, B. Kang, J. Choi, Y. Yoon, J. Kim
  Quantum Reinforcement Learning for Joint Control, Communication, and Computing in Stabilized Reusable Space Rocket, IEEE Transactions on Aerospace and Electronic Systems (Revision) G. S. Kim, J. Chung, S. Jung, S. Park, J. Kim
  Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks, IEEE Transactions on Mobile Computing (Revision) G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, J. Kim
  Joint Mobility Control and Networking for Autonomous Aircraft Cooperation: A Quantum Reinforcement Learning Approach, IEEE Transactions on Mobile Computing (Review) G. S. Kim, J. Chung, Roh, S. Jung, S. Park, T. Q. Duong, J. Kim
  Quantum Leap for Autonomous Aircraft Control, IEEE Communications Magazine (Review) G. S. Kim, J. Chung, S. Park, S. Jung, T. Q. Duong, J. Kim

Emily Jimin Roh (Ph.D. Student, 03/2024-Present)

• Research Topics: Autonomous Mobility Control, Reinforcement Learning, Quantum AI

• Journals and Top-Conferences
  Joint Scalable Quantum Convolutional Neural Network and Reverse-Fidelity Training for High-Accurate Recognition in Unmanned Aerial Vehicle Surveillance, The Journal of Supercomputing (Springer), 81(n):1495, October 2025. E. J. Roh, J. Kim, S. Jung, S. Park
  Stabilized Classification Control using Multi-Stage Quantum Convolutional Neural Networks for Autonomous Driving, IEEE/KICS Journal of Communications and Networks, 27(4):264-272, August 2025. E. J. Roh, S. Park, S. Jung, J. Kim
  Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection, IEEE Computational Intelligence Magazine, 20(3):63-74, August 2025. J. Kim, E. J. Roh, C. Im, S. Park
  Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications, IEEE Transactions on Mobile Computing, 24(2):1031-1042, February 2025. E. J. Roh, H. Baek, D. Kim, J. Kim
  Hybrid Quantum-Classical 3D Object Detection using Multi-Channel Quantum Convolutional Neural Network, The Journal of Supercomputing (Springer), 81(3):455, February 2025. E. J. Roh, J. Y. Shim. J. Kim, S. Park
  Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in Large Language Models, ACM CIKM (2025) E. J. Roh, J. Kim

• Publications (Under Review)
  Multi-Channel Hybrid Quantum-Classical Convolutional Neural Networks, IEEE Transactions on Multimedia (Review) E. J. Roh, H. Baek, S. Park, J. Kim
  Schrodinger with GPT: The Role of Quantum Machine Learning for Parameter Efficient LLM Fine Tuning in Internet-of-Everything Applications, IEEE Network (Review) E. J. Roh, H. Ahn, J. Kim
  Quantum Jump to Connected Worlds: Paradigm Shifts in Mobility and Network Applications via Quantum Neural Networks, IEEE Network (Review) H. Lee, G. S. Kim, E. J. Roh, S. Jung, S. Park, T. Q. Duong, J. Kim
  Scale-Reconfigurable Multi-Agent Reinforcement Learning for Aerial Networks under Uncertainty, IEEE Transactions on Mobile Computing (Review) G. S. Kim, E. J. Roh, S. Jung, S. Park, J. Kim
  High-Dimensional Quantum Encoding over Noisy Quantum Channels, IEEE Transactions on Vehicular Technology (Review) C. Im, E. J. Roh, H. Ahn, S. Oh, T. Kim, T. Q. Duong, S. Park, J. Kim
  (Double Blind Review), IEEE Transactions on Pattern Analysis and Machine Intelligence (Review) G. S. Kim, E. J. Roh, S. Park, J. Kim
  Noise-Aware Adaptive Teleportation-Aided Quantum Split Federated Learning: A Stackelberg Game Theory Approach, IEEE Journal on Selected Areas in Communications (Review) C. Im, E. J. Roh, S. Park, J. Kim, W. Lee
  Understanding Quantum Neural Networks: Fourier Analysis and A Vision for the Road Ahead, Nature Communications Physics (Review) S. Oh, E. J. Roh, A. Vasilakos, S. Park, J. Kim
  How Can Quantum Deep Learning Improve Large Language Models?, IEEE ICASSP (2026) E. J. Roh, H. Ahn, S. Y.-C. Chen, S. Park, J. Kim

Seungcheol Oh (Ph.D. Student, 03/2025-Present) [Website]

• Research Topics: Reinforcement Learning, Autonomous Control, Quantum Machine Learning

• Journals and Top-Conferences
  Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control, IEEE GLOBECOM (2025) H. Ahn, S. Oh, G. S. Kim,S. Jung, S. Park, J. Kim

• Publications (Under Review)
  Polarization Reconfigurable Transmit-Receive Beam Alignment with Interpretable Transformer, IEEE Transactions on Wireless Communications (Review) S. Oh, H. Han, J. Kim, S. Kwon
  Understanding Quantum Neural Networks: Fourier Analysis and A Vision for the Road Ahead, Nature Communications Physics (Review) S. Oh, E. J. Roh, A. Vasilakos, S. Park, J. Kim
  Understanding the Qubit Trajectory in Parameterized Quantum Circuits, Physical Review A (Review) S. Oh, C. Im, J. Kim, S. Park
  Beamforming and Polarization Alignment in MISO System with Deep Neural Networks, IEEE Wireless Communications Letters (Review) S. Oh, H. Han, J. Kim, S. Kwon
  Hallucination-Aware Hierarchical LLM for Autonomous UAV Mobility Control: A Safe Reinforcement Learning Approach, IEEE Transactions on Intelligent Vehicles (Review) H. Ahn, S. Oh, G. S. Kim, S. Park, S. Jung, J. Kim
  High-Dimensional Quantum Encoding over Noisy Quantum Channels, IEEE Transactions on Vehicular Technology (Review) C. Im, E. J. Roh, H. Ahn, S. Oh, T. Kim, T. Q. Duong, S. Park, J. Kim
  (Double Blind), ACM KDD (Review) S. Oh, C. Im, S. Park, J. Kim
  GRU-based Channel Prediction for Energy-Efficient Active Mobile User Uplink Power Control in RIS-Enabled TDD Communication Systems, IEEE ICC (2026) S. Oh, T. Park, A. Ahmadian, S. Kwon, S.-L. Kim, J. Kim
  (Double Blind), CVPR (Review) S. Oh, C. Im, S. Park, J. Kim

Minji Lee (Ph.D. Student, 09/2025-Present)

• Research Topics: Reinforcement Learning, Autonomous Systems, Quantum Machine Learning, Large AI Model

• Journals and Top-Conferences
  TBD

• Publications (Under Review)
  TBD

Jioh Lee (Ph.D. Student, 03/2026-Present)

• Research Topics: Reinforcement Learning, Autonomous Systems, Quantum Machine Learning, Large AI Model

• Journals and Top-Conferences
  TBD

• Publications (Under Review)
  TBD

Hoyeong Lee (Ph.D. Student, 03/2026-Present)

• Research Topics: Reinforcement Learning, Autonomous Systems, Quantum Machine Learning, Large AI Model

• Journals and Top-Conferences
  TBD

• Publications (Under Review)
  TBD

Yeryeong Cho (M.S. Student, 03/2024-Present)

• Research Topics: Autonomous Mobility Control, Reinforcement Learning, Quantum AI

• Journals and Top-Conferences
  Large-Scale Battery-Conscious Collision-Free Path-Finding for Sustainable and Autonomous Multi-AGV Mobility Control, IEEE Transactions on Vehicular Technology, v(n):ppp-ppp, Month Year. Y. Cho, S. Ahn, S. Park, J. Kim
  Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks, IEEE Transactions on Mobile Computing, v(n):ppp-ppp, Month Year. G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, J. Kim
  Quantum Multiagent Reinforcement Learning for Joint Cube-Satellites and High-Altitude Long-Endurance Aerial Vehicles in SAGIN, IEEE Transactions on Aerospace and Electronic Systems, 61(4):9490-9510, August 2025. G. S. Kim, Y. Cho, S. Park, S. Jung, J. Kim
  Joint Multi-Agent Reinforcement Learning and Message-Passing for Distributed Multi-UAV Network Management using Conflict Graphs, IEEE/IFIP NOMS (2025) Y. Cho, H. Lee, S. Park, J. Kim

• Publications (Under Review)
  Transformer-based Decision Making for Autonomous Mobility Paradigm Transformation, IEEE Vehicular Technology Magazine (Review) Y. Cho, C. Im, S. Park, J. Kim

Chaemoon Im (M.S. Student, 03/2024-Present)

• Research Topics: Quantum Teleportation, Multi-Agent Reinforcement Learning, Quantum AI

• Journals and Top-Conferences
  Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection, IEEE Computational Intelligence Magazine, 20(3):63-74, August 2025. J. Kim, E. J. Roh, C. Im, S. Park

• Publications (Under Review)
  Differentially-Private Quantum Federated Learning Against Gradient Inversion Attacks, IEEE Transactions on Networking (Revision) C. Im, S. Park, J. Kim
  Game-Theoretical Distributed Multi-Agent Diffusion for Trajectory Planning in IoT Systems, IEEE Internet of Things Journal (Review) C. Im, S. Park, J. Kim
  High-Dimensional Quantum Encoding over Noisy Quantum Channels, IEEE Transactions on Vehicular Technology (Review) C. Im, E. J. Roh, H. Ahn, S. Oh, T. Kim, T. Q. Duong, S. Park, J. Kim
  Noise-Aware Adaptive Teleportation-Aided Quantum Split Federated Learning: A Stackelberg Game Theory Approach, IEEE Journal on Selected Areas in Communications (Review) C. Im, E. J. Roh, S. Park, J. Kim, W. Lee
  Quantum Federated Aggregation using the Parameter-Shift Rule, IEEE Internet of Things Journal (Review) J. Chung, C. Im, S. Park, J. Kim, W. Lee
  Joint Decision Transformer and Deep Reinforcement Learning for Robust Torpedo Evasion, IEEE Transactions on Systems, Man, and Cybernetics: Systems (Review) J. Chung, H. Ahn, C. Im, B. Kang, J. Choi, Y. Yoon, J. Kim
  Transformer-based Decision Making for Autonomous Mobility Paradigm Transformation, IEEE Vehicular Technology Magazine (Review) Y. Cho, C. Im, S. Park, J. Kim
  Learning-based Resilient Dynamic Routing for Fault-Tolerant Robust LEO Satellite Networks, IEEE Internet of Things Journal (Review) G. S. Kim, C. Im, Y. G. Kim, J. Ha, J. Kim
  Understanding the Qubit Trajectory in Parameterized Quantum Circuit, Physical Review A (Review) S. Oh, C. Im, J. Kim, S. Park
  (Double Blind), ACM KDD (Review) S. Oh, C. Im, S. Park, J. Kim
  (Double Blind), CVPR (Review) S. Oh, C. Im, S. Park, J. Kim

Hyojun Ahn (M.S. Student, 03/2025-Present)

• Research Topics: Reinforcement Learning, Autonomous Systems, Quantum Machine Learning, Large AI Model

• Journals and Top-Conferences
  Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control, IEEE GLOBECOM (2025) H. Ahn, S. Oh, G. S. Kim,S. Jung, S. Park, J. Kim

• Publications (Under Review)
  Hybrid Large Language Model and Reinforcement Learning for Energy-Efficient Multi-Satellite Scheduling: Boosting the Performance from Scratch, IEEE Internet of Things Journal (Revision) H. Ahn, G. S. Kim, I.-S. Cho, S. Jung, J. Kim
  Hallucination-Aware Hierarchical LLM for Autonomous UAV Mobility Control: A Safe Reinforcement Learning Approach, IEEE Transactions on Intelligent Vehicles (Review) H. Ahn, S. Oh, G. S. Kim, S. Park, S. Jung, J. Kim
  Streamable Quantum Edge: Joint Global Quantum Caching and Distributed Streaming for Over-the-Top Media Services, IEEE Journal on Selected Areas in Communications (Review) H. Ahn, J. Heo, S. Park, Z. Han, J. Kim
  High-Dimensional Quantum Encoding over Noisy Quantum Channels, IEEE Transactions on Vehicular Technology (Review) C. Im, E. J. Roh, H. Ahn, S. Oh, T. Kim, T. Q. Duong, S. Park, J. Kim
  Joint Decision Transformer and Deep Reinforcement Learning for Robust Torpedo Evasion, IEEE Transactions on Systems, Man, and Cybernetics: Systems (Review) J. Chung, H. Ahn, C. Im, B. Kang, J. Choi, Y. Yoon, J. Kim
  Quantum Reinforcement Learning for Carbon-Aware Energy-Efficient Air Traffic Control, IEEE Transactions on Intelligent Transportation Systems (Review) G. S. Kim, H. Ahn, J. Kim
  Efficient Quantum Neural Architecture Search with Filtered Supernet for Mobile Medical Scenarios, IEEE Transactions on Mobile Computing (Review) S. B. Son, H. Ahn, S. Y.-C. Chen, S. Park, J. Kim
  Schrodinger with GPT: The Role of Quantum Machine Learning for Parameter Efficient LLM Fine Tuning in Internet-of-Everything Applications, IEEE Network (Review) E. J. Roh, H. Ahn, J. Kim
  How Can Quantum Deep Learning Improve Large Language Models?, IEEE ICASSP (2026) E. J. Roh, H. Ahn, S. Y.-C. Chen, S. Park, J. Kim

Hojun Kim (M.S. Student, 03/2026-Present)

• Research Topics: Reinforcement Learning, Autonomous Systems, Quantum Machine Learning, Large AI Model

• Journals and Top-Conferences
  TBD

• Publications (Under Review)
  TBD

Junseo Min (M.S. Student, 03/2026-Present)

• Research Topics: Reinforcement Learning, Autonomous Systems, Quantum Machine Learning, Large AI Model

• Journals and Top-Conferences
  TBD

• Publications (Under Review)
  TBD