Korea University
AI and Mobility (AIM) Laboratory

Introduction to the Lab

Korea University, AI and Mobility (AIM) Laboratory is now conducting the research and development (R&D) in following fields,
  - Autonomous-AI: Multi-Agent Reinforcement Learning for UAV, UAM, AUV, and Satellite Networks
  - Quantum-AI: Quantum Reinforcement Learning, Quantum Federated Learning, Software Engineering for Quantum Learning
  - Computer Networks: Lyapunov Optimization Theory and Applications

Publication Highlights [Magazines, Top-Journals, Top-Conferences]

1. Toward Quantum Combinatorial Optimization: From QAOA Fundamentals to Industrial Deployment
   IEEE Nanotechnology Magazine (Online) Yun Pyo Hong, et al. 

2. Rethinking Privacy-Preserving Distributed Learning in Quantum Hilbert Spaces
   IEEE Computational Intelligence Magazine (Online) Seok Bin Son, et al.

3. Scale-Reconfigurable Multi-Agent Reinforcement Learning for Aerial Networks in Dynamic Environments
   IEEE Transactions on Mobile Computing (Online) Gyu Seon Kim, et al.

4. Efficient Quantum Neural Architecture Search with Filtered Supernet for Mobile Learning Systems
   IEEE Transactions on Mobile Computing (Online) Seok Bin Son, et al.

5. Sustainable 6G Non-Terrestrial Networks: Enabling Net-Zero Operation via Renewable Energy Integration and Intelligent Control
   IEEE Communications Magazine (Online) Hyunsoo Lee, et al.

6. Quantum Learning for Autonomous Aircraft Control: A Reinforcement Learning Perspective
   IEEE Communications Magazine (Online) Gyu Seon Kim, et al. 

7. Quantum Jump to Connected Worlds: Paradigm Shifts in Mobility and Network Applications via Quantum Neural Networks
   IEEE Network (Online) Hyunsoo Lee, et al.

8. Joint Sustainable Control and Quantum Reinforcement Learning for Energy-Efficient Cube-Satellite Networks
   IEEE Transactions on Mobile Computing (2026) Soohyun Park, et al.

9. Quantum Robust Inner Minimization for Reinforcement Learning with Quadratic Speed-Up in Query Complexity
   ICML (2026)

10. Let LLM Tutors Ask First: Proactive LLM-Based Tutoring at Scale in a 1,500-Student Online Classroom
    ACL (2026) Jonghoon Lee, Geonjae Youn, et al. 

11. Fourier Analysis Perspective on Quantum Neural Networks
    Communications Physics (Nature) (2026) Seungcheol Oh, et al.

12. Quantum Reinforcement Learning for Joint Control, Communication, and Computing in Stabilized Reusable Space Rocket
    IEEE Transactions on Aerospace and Electronic Systems (2026) Gyu Seon Kim, et al.

13. Integrated Control, Communication, and Computing for Mission-Critical Embedded Unmanned Aerial Vehicles
    IEEE Transactions on Aerospace and Electronic Systems (2026) Gyu Seon Kim, et al. 

14. Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks
    IEEE Transactions on Mobile Computing (2026) Gyu Seon Kim, et al.

15. Quantum Jump to Virtual Worlds: High-Quality Multiple Virtual Meta-Space Realization in Metaverse
    IEEE MultiMedia (2025) Soohyun Park, et al.

16. Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in Large Language Models
    ACM CIKM (2025) Emily Jimin Roh, et al. 

17. Filtered One-Shot Training for Quantum Architecture Search
    ACM CIKM (2025) Seok Bin Son, et al. 

18. LLM-based Interactive Coding Education via Predictive Query Management and Student-Centered Fine-Tuning: Design and Implementation with 1500-Student Class Data
    ACM CIKM (2025) Geonjae Youn, Jonghoon Lee, et al. 

19. Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection
    IEEE Computational Intelligence Magazine (2025) Joongheon Kim, et al.

20. Slimmable Federated Reinforcement Learning for Energy-Efficient Proactive Caching
    IEEE Transactions on Networking (2025) Hankyul Baek, Gyu Seon Kim, et al.

21. Quantum Multiagent Reinforcement Learning for Joint Cube-Satellites and High-Altitude Long-Endurance Aerial Vehicles in SAGIN
    IEEE Transactions on Aerospace and Electronic Systems (2025) Gyu Seon Kim, et al.

22. AQUA: Hardware-Agnostic Qubit Allocation for Quantum Multi-Programming
    IEEE IPDPS (2025) Xinyu Piao, et al. 

23. Stabilized Robust Control for Lightweight Autonomous Aircraft Mobility: A Quantum Reinforcement Learning Approach
    IEEE/IFIP WiOpt (2025) Gyu Seon Kim, et al.

24. Joint Multi-Agent Reinforcement Learning and Message-Passing for Distributed Multi-UAV Network Management using Conflict Graphs
    IEEE/IFIP NOMS (2025) Yeryeong Cho, et al.

25. Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications
    IEEE Transactions on Mobile Computing (2025) Emily Jimin Roh, et al. 

26. The Matrix: Quantum AI for Interacting Two Worlds in Prioritized Metaverse Spaces
    IEEE Communications Magazine (2024) Soohyun Park, et al. 

27. Spatio-Temporal Multi-Metaverse Dynamic Streaming for Hybrid Quantum-Classical Systems
    IEEE/ACM Transactions on Networking (2024) Soohyun Park, et al. 

28. Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse
    IEEE Transactions on Mobile Computing (2024) Soohyun Park, et al. 

29. Quantum Multi-Agent Reinforcement Learning is All You Need: Coordinated Global Access in Integrated TN/NTN Cube-Satellite Networks
    IEEE Communications Magazine (2024) Soohyun Park, et al. 

30. Hands-On Introduction to Quantum Machine Learning
    ACM CIKM (2024)

31. Advanced Taxiing Path Guidance using Multi-Agent Reinforcement Learning for Air Traffic Management
    IEEE/IFIP WiOpt (2024)

32. Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
    IEEE Communications Magazine (2024) Soohyun Park, et al. 

33. Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA with Imperfect SIC
    IEEE Transactions on Wireless Communications (2024)

34. Hierarchical Deep Reinforcement Learning-based Propofol Infusion Assistant Framework in Anesthesia
    IEEE Transactions on Neural Networks and Learning Systems (2024)

35. Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective
    IEEE Transactions on Mobile Computing (2024)

36. SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
    IEEE/ACM Transactions on Networking (2023) Hankyul Baek, et al. 

37. Quantum Split Learning for Privacy-Preserving Information Management
    ACM CIKM (2023) Soohyun Park, et al. 

38. Logarithmic Dimension Reduction for Quantum Neural Networks
    ACM CIKM (2023) Hankyul Baek, et al. 

39. EQuaTE: Efficient Quantum Train Engine for Run-Time Dynamic Analysis and Visual Feedback in Autonomous Driving
    IEEE Internet Computing (2023) Soohyun Park, et al. 

40. Quantum Multi-Agent Meta Reinforcement Learning
    AAAI (2023)

41. Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly
    ACM CIKM (2022)

42. Cooperative Video Quality Adaptation for Delay-Sensitive Dynamic Streaming using Adaptive Super-Resolution
    IEEE/IFIP WiOpt (2022) Minseok Choi, et al. 

43. Recent and Future Evolution of Wi-Fi
    IEEE Communications Standards Magazine (2022)

44. Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks
    IEEE INFOCOM (2022) Hankyul Baek, et al. 

45. Supremo: Cloud-Assisted Low-Latency Super-Resolution in Mobile Devices
    IEEE Transactions on Mobile Computing (2022)

46. A Personalized Preference Learning Framework for Caching in Mobile Networks
    IEEE Transactions on Mobile Computing (2021)

47. Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
    Proceedings of the IEEE (2021)

48. Probabilistic Caching and Dynamic Delivery Policies for Categorized Contents and Consecutive User Demands
    IEEE Transactions on Wireless Communications (2021) Minseok Choi, et al. 

49. Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks
    IEEE Transactions on Wireless Communications (2020) Minseok Choi, et al. 

50. Understanding the Potential Risks of Sharing Elevation Information on Fitness Applications
    IEEE ICDCS (2020)

51. Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks
    IEEE Transactions on Wireless Communications (2019) Minseok Choi, et al. 

52. Dynamic Power Allocation and User Scheduling for Power-Efficient and Delay-Constrained Multiple Access Networks
    IEEE Transactions on Wireless Communications (2019) Minseok Choi, et al. 

53. Randomized Adversarial Imitation Learning for Autonomous Driving
    IJCAI (2019) MyungJae Shin, et al. 

54. Seamless Dynamic Adaptive Streaming in LTE/Wi-Fi Integrated Network under Smartphone Resource Constraints
    IEEE Transactions on Mobile Computing (2019)

55. New Challenges of Wireless Power Transfer and Secured Billing for Internet of Electric Vehicles
    IEEE Communications Magazine (2019)

56. SGCO: Stabilized Green Crosshaul Orchestration for Dense IoT Offloading Services
    IEEE Journal on Selected Areas in Communications (2018)

57. ShmCaffe: A Distributed Deep Learning Platform with Shared Memory Buffer for HPC Architecture
    IEEE ICDCS (2018)

58. Wireless Video Caching and Dynamic Streaming Under Differentiated Quality Requirements
    IEEE Journal on Selected Areas in Communications (2018) Minseok Choi, et al. 

59. REQUEST: Seamless Dynamic Adaptive Streaming over HTTP for Multi-Homed Smartphone under Resource Constraints
    ACM Multimedia (2017)

60. The Useful Impact of Carrier Aggregation: A Measurement Study in South Korea for Commercial LTE-Advanced Networks
    IEEE Vehicular Technology Magazine (2017)

61. Quality-Aware Streaming and Scheduling for Device-to-Device Video Delivery
    IEEE/ACM Transactions on Networking (2016) Joongheon Kim, et al. 

62. Energy-Efficient Rate-Adaptive GPS-based Positioning for Smartphones
    ACM MobiSys (2010)

• (2025년 연구실 소식)

  • (2025년12월) 김규선 박사과정이 미국 텍사스 휴스턴에 소재한 University of Houston으로 방문연구를 수행하러 출국하였습니다. 좋은 연구성과가 있기를 기원합니다. 

  • (2025년12월) 김규선 박사과정, 정재현 박사과정의 논문이 항공공학분야 탑 저널인 IEEE Transactions on Aerospace and Electronic Systems에 게재허가 받았습니다 (논문제목: Quantum Reinforcement Learning for Joint Control, Communication, and Computing in Stabilized Reusable Space Rocket).

  • (2025년12월) 김중헌 교수님께서 ACM Computing Surveys의 편집위원(Editor)으로 선임되셨습니다. ACM Computing Surveys는 IF 28로서 143편의 Computer Science Theory & Methods분야 저널 중에서 최고 IF입니다. 축하드립니다. (웹사이트)

  • (2025년12월) IEEE Seoul Section Student Paper Contests에서 조예령 학생의 논문이 Silver Prize Award를, 안효준 석사과정과 노지민 박사과정의 논문이 Bronze Prize Award를 수상했습니다. 진심으로 축하드립니다.

  • (2025년11월) 우리 연구실 박사졸업생이신 숙명여자대학교 박수현 교수님께서 IEEE Computer Society에서 IEEE TCSC (Technical Committee in Scalable Computing) Award for Excellence in Scalable Computing을 수상하셨습니다. 진심으로 축하드립니다.

  • (2025년11월) 김중헌 교수님께서 2025년1학기 강의로 석탑강의상(고려대학교 강의평가 상위5%) 2개와 우수강의상(고려대학교 강의평가 상위20%) 1개를 동시에 수상하셨습니다. 축하드립니다. (석탑강의상: 확률및랜덤프로세스, SW프로그래밍기초(6분반)) (우수강의상: SW프로그래밍기초(9분반))

  • (2025년11월) 김중헌 교수님께서 연구회장으로 있는 한국통신학회 양자통신 및 양자컴퓨팅 연구회가 한국통신학회 2025년 최우수 연구회로 선정되었습니다. 축하드립니다.  

  • (2025년11월) 김중헌 교수님께서 한국통신학회 공로상을 수상했습니다. 축하드립니다.

  • (2025년11월) 오승철 박사과정이 한국통신학회 HFR 우수논문상을 수상했습니다. 축하드립니다.  

  • (2025년11월) 조예령 석사과정, 노지민 박사과정, 그리고 이상미 박사님께서 한국통신학회 우수논문상을 수상했습니다. 축하드립니다.  

  • (2025년11월) 김중헌 교수님께서 한국통신학회 추계학술대회에서 "2025 KICS 우수강의 다시보기"에 "양자기계학습과 소프트웨어 기술"의 강의가 특별 프로그램에 선정되어 기념패를 받으셨습니다. 축하드립니다. 

  • (2025년10월) 김규선 박사과정이 한국이공학진흥원 최우수상을 수상했습니다. 축하드립니다.

  • (2025년10월) 이민지 석사과정이 ICSANE 학술대회에서 Young Scientist Award를 수상했습니다. 축하드립니다.

  • (2025년10월) 김규선 박사과정의 논문이 항공공학분야 탑 저널인 IEEE Transactions on Aerospace and Electronic Systems에 게재허가 받았습니다 (논문제목: Integrated Control, Communication, and Computing for Mission-Critical Embedded Unmanned Aerial Vehicles).

  • (2025년09월) 이민지 학생이 우리 연구실에 석사과정으로 합류하였습니다. 환영합니다!

  • (2025년08월) 김규선 박사과정, 조예령 석사과정, 그리고 정재현 석사과정의 논문이 네트워크 분야 탑 저널인 IEEE Transactions on Mobile Computing에 게재허가 받았습니다 (논문제목: Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks).

  • (2025년08월) 김규선 박사과정이 IEEE Vehicular Technology Society Student Scholarship Award 수상했습니다. 시상식은 10월에 IEEE VTC 2025-Fall에서 열릴 예정입니다. 진심으로 축하드립니다.

  • (2025년07월) 우리연구실이 고려대-북경대 국제공동연구사업에 선정되었습니다. 북경대의 Kaigui Bian 교수와 1년간 공동연구를 수행할 예정입니다. (과제명: Towards Agentic AI-Enabled Edge IoT Systems for Proactive Physical World Sensing and Control)

  • (2025년07월) 손석빈 박사과정과 연구실 박사졸업생인 숙명여자대학교 박수현 교수님의 논문이 컴퓨터과학 Top-Conference 중 하나인 IEEE ICDCS에서 Best Runner Up Poster Paper Award를 수상했습니다. 축하드립니다.

  • (2025년07월) 김중헌 교수님께서 "대통령 직속 국정기획위원회 경제2분과 양자과학기술산업분야 전문가 간담회"에 참석하셨습니다. (기사)

  • (2025년07월) 박수현 교수님(숙명여자대학교)의 논문이 멀티미디어 분야 탑 매거진인 IEEE MultiMedia에 게재허가 받았습니다 (논문제목: Quantum Jump to Virtual Worlds: High-Quality Multiple Virtual Meta-Space Realization in Metaverse).

  • (2025년05월) 우리 연구실 박사후연구원으로 함께 하셨던 아주대학교 정소이 교수님께서 3년 연속 연구우수교수(IF부문, Citation부문, 연구비수주우수)로 선발되셨습니다. 진심으로 축하드립니다.

  • (2025년05월) 우리 연구실 박사졸업생이신 숙명여자대학교 박수현 교수님께서 창학기념일에 논문게재 우수교원으로 선발되어 표창을 받으십니다. 진심으로 축하드립니다.

  • (2025년05월) 정재현 석사과정이 학위논문심사를 마쳤습니다. 진심으로 축하드립니다 (학위논문제목: Progressive Sequence-Aware Reinforcement Learning: From Continuous Control to Transformer-Enhanced Policy Optimization).

  • (2025년05월) 김중헌 교수님, 노지민 박사과정, 임채문 석사과정, 박수현 교수님의 논문이 인공지능분야 탑 매거진인 IEEE Computational Intelligence Magazine에 게재허가 받았습니다 (논문제목: Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection).

  • (2025년05월) 김중헌 교수님께서 고려대학교 석탑연구상을 수상하셨습니다 (2024년 고려대학교 연구업적 상위 3%).

  • (2025년04월) 김중헌 교수님께서 고려대학교 공과대학 BK21 전기전자공학교육연구단으로부터 우수업적상을 수상하셨습니다.

  • (2025년03월) 김규선 박사과정과 조예령 석사과정의 논문이 항공공학분야 탑 저널인 IEEE Transactions on Aerospace and Electronic Systems에 게재허가 받았습니다 (논문제목: Quantum Multiagent Reinforcement Learning for Joint Cube-Satellites and High-Altitude Long-Endurance Aerial Vehicles in SAGIN).

  • (2025년03월) 김규선 박사과정의 논문이 네트워크분야 탑 저널인 IEEE Transactions on Networking에 게재허가 받았습니다 (논문제목: Slimmable Federated Reinforcement Learning for Energy-Efficient Proactive Caching).

  • (2025년02월) 2025본 연구실은 중견과제에 선정되었습니다 (과제명: 양자 기계학습 기반 시공간 멀티 스케일 디지털 트윈 시스템 개발). 

  • (2025년02월) 2025년 한국통신학회 동계학술대회에서 열린 아이디어공모전에서 임채문, 노지민, 안효준, 김태환 학생이 "퀀텀 컴퓨팅" 부문 최우수상을 수상하였습니다.