Prof. Joongheon Kim

(IEEE Magazines)

1. The Matrix: Quantum AI for Interacting Two Worlds in Prioritized Metaverse Spaces
   IEEE Communications Magazine, v(n):ppp-ppp, Month Year. Soohyun Park, et al.

2. 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. Soohyun Park, et al.

3. Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation
   IEEE Communications Magazine, 62(6):106-112, June 2024. Soohyun Park, et al.

4. EQuaTE: Efficient Quantum Train Engine for Run-Time Dynamic Analysis and Visual Feedback in Autonomous Driving
   IEEE Internet Computing, 27(5):24-31, September-October 2023. Soohyun Park, et al.

5. Recent and Future Evolution of Wi-Fi
   IEEE Communications Standards Magazine, 6(2):8-11, June 2022.

6. Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications
   Proceedings of the IEEE, 109(5):796-819, May 2021.

7. New Challenges of Wireless Power Transfer and Secured Billing for Internet of Electric Vehicles
   IEEE Communications Magazine, 57(3):118-124, March 2019.

8. The Useful Impact of Carrier Aggregation: A Measurement Study in South Korea for Commercial LTE-Advanced Networks
   IEEE Vehicular Technology Magazine, 12(1):55-62, March 2017.

(IEEE ComSoc Journals) TMC/TON/JSAC, TWC/IoTJ, ComSoc Journals

9. Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications
   IEEE Transactions on Mobile Computing, v(n):ppp-ppp, Month Year. Emily Jimin Roh, et al.

10. Intelligent Extra Resource Allocation for Cooperative Awareness Message Broadcasting in Cellular-V2X Networks
    IEEE Transactions on Network and Service Management, v(n):ppp-ppp, Month Year. Soyi Jung, et al.

11. Spatio-Temporal Multi-Metaverse Dynamic Streaming for Hybrid Quantum-Classical Systems
    IEEE/ACM Transactions on Networking, 32(6):ppp-ppp, December 2024. Soohyun Park, et al. 

12. Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse
    IEEE Transactions on Mobile Computing, 23(12):12410-12427, December 2024. Soohyun Park, et al.

13. Markov Decision Policies for Distributed Angular Routing in LEO Mobile Satellite Constellation Networks
    IEEE Internet of Things Journal, 11(23):ppp-ppp, December 2024. Soohyun Park, Gyu Seon Kim, et al.

14. Cooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach
    IEEE Transactions on Network and Service Management, 21(4):3797-3812, August 2024. Joongheon Kim, et al.

15. Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA with Imperfect SIC
    IEEE Transactions on Wireless Communications, 23(3):2025-2038, March 2024.

16. 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. Minseok Choi, et al.

17. Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective
    IEEE Transactions on Mobile Computing, 23(1):581-596, January 2024.

18. SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks
    IEEE/ACM Transactions on Networking, 31(6):2499-2514, December 2023. Hankyul Baek, et al.

19. Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
    IEEE Internet of Things Journal, 10(22):20033-20048, November 2023.

20. Quantum Multiagent Actor-Critic Neural Networks for Internet-Connected Multirobot Coordination in Smart Factory Management
    IEEE Internet of Things Journal, 10(11):9942-9952, June 2023.

21. Neural Myerson Auction for Truthful and Energy-Efficient Autonomous Aerial Data Delivery
    IEEE/KICS Journal of Communications and Networks, 24(6):730-741, December 2022.

22. Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles
    IEEE/KICS Journal of Communications and Networks, 24(6):710-721, December 2022.

23. Supremo: Cloud-Assisted Low-Latency Super-Resolution in Mobile Devices
    IEEE Transactions on Mobile Computing, 21(5):1847-1860, May 2022.

24. A Personalized Preference Learning Framework for Caching in Mobile Networks
    IEEE Transactions on Mobile Computing, 20(6):2124-2139, June 2021.

25. Probabilistic Caching and Dynamic Delivery Policies for Categorized Contents and Consecutive User Demands
    IEEE Transactions on Wireless Communications, 20(4):2685-2699, April 2021. Minseok Choi, et al.

26. Stabilized Adaptive Sampling Control for Reliable Real-Time Learning-based Surveillance Systems
    IEEE/KICS Journal of Communications and Networks, 23(2):129-137, April 2021. Dohyun Kim, et al. 

27. Dynamic Video Delivery using Deep Reinforcement Learning for Device-to-Device Underlaid Cache-Enabled Internet-of-Vehicle Networks
    IEEE/KICS Journal of Communications and Networks, 23(2):117-128, April 2021. Minseok Choi, et al.

28. Joint Distributed Link Scheduling and Power Allocation for Content Delivery in Wireless Caching Networks
    IEEE Transactions on Wireless Communications, 19(12):7810-7824, December 2020. Minseok Choi, et al.
    (IEEE ComSoc MMTC Best Journal Paper Award)

29. Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks
    IEEE Internet of Things Journal, 7(10):9895-9903, October 2020. Dohyun Kwon, et al.

30. Self-Adaptive Power Control with Deep Reinforcement Learning for Millimeter-Wave Internet-of-Vehicles Video Caching
    IEEE/KICS Journal of Communications and Networks, 22(4):326-337, August 2020. Dohyun Kwon, et al. 

31. Numerical Approximation of Millimeter-Wave Frequency Sharing between Cellular Systems and Fixed Service Systems
    IEEE/KICS Journal of Communications and Networks, 22(1):37-45, February 2020.

32. Markov Decision Policies for Dynamic Video Delivery in Wireless Caching Networks
    IEEE Transactions on Wireless Communications, 18(12):5705-5718, December 2019. Minseok Choi, et al.

33. Dynamic Power Allocation and User Scheduling for Power-Efficient and Delay-Constrained Multiple Access Networks
    IEEE Transactions on Wireless Communications, 18(10):4846-4858, October 2019. Minseok Choi, et al.

34. Two-Stage IoT Device Scheduling with Dynamic Programming for Energy Internet Systems
    IEEE Internet of Things Journal, 6(5):8782-8791, October 2019.

35. Seamless Dynamic Adaptive Streaming in LTE/Wi-Fi Integrated Network under Smartphone Resource Constraints
    IEEE Transactions on Mobile Computing, 18(7):1647-1660, July 2019.

36. Internet of Things for Smart Manufacturing System: Trust Issues in Resource Allocation
    IEEE Internet of Things Journal, 5(6):4418-4427, December 2018.

37. SGCO: Stabilized Green Crosshaul Orchestration for Dense IoT Offloading Services
    IEEE Journal on Selected Areas in Communications, 36(11):2538-2548, November 2018.

38. Wireless Video Caching and Dynamic Streaming Under Differentiated Quality Requirements
    IEEE Journal on Selected Areas in Communications, 36(6):1245-1257, June 2018. Minseok Choi, et al.

39. Energy-Efficient Mobile Charging for Wireless Power Transfer in Internet of Things Networks
    IEEE Internet of Things Journal, 5(1):79-92, February 2018.

40. Feasibility Study of 60 GHz Millimeter-Wave Technologies for Hyperconnected Fog Computing Applications
    IEEE Internet of Things Journal, 4(5):1165-1173, October 2017. Joongheon Kim, et al.

41. Quality-Aware Streaming and Scheduling for Device-to-Device Video Delivery
    IEEE/ACM Transactions on Networking, 24(4):2319-2331, August 2016. Joongheon Kim, et al. 

42. Fast Millimeter-Wave Beam Training with Receive Beamforming
    IEEE/KICS Journal of Communications and Networks, 16(5):512-522, October 2014. Joongheon Kim, et al.

43. Joint Coding and Stochastic Data Transmission for Uplink Cloud Radio Access Networks
    IEEE Communications Letters, 18(9):1619-1622, September 2014.

44. A Low-Complexity Algorithm for Neighbor Discovery in Wireless Networks
    IEEE Communications Letters, 18(7):1119-1122, July 2014. 

45. Fast and Low-Power Link Setup for IEEE 802.15.3c Multi-Gigabit/s Wireless Sensor Networks
    IEEE Communications Letters, 18(3):455-458, March 2014. Joongheon Kim, et al. 

46. Optimized Transmission Power Control of Interrogators for Collision Arbitration in UHF RFID Systems
    IEEE Communications Letters, 11(1):22-24, January 2007. Joongheon Kim, et al.

(IEEE VTS/ITSS Representative Journals) TVT, TIV/TITS

47. Dynamic Quantum Federated Learning for UAV-based Autonomous Surveillance
    IEEE Transactions on Vehicular Technology (Accept with Minor Changes) Soohyun Park, et al.

48. Adaptive Quantum Federated Learning for Autonomous Surveillance Multi-Drone Networks
    IEEE Transactions on Intelligent Vehicles, v(n):ppp-ppp, Month Year. Soohyun Park, et al.

49. Neural Myerson Auction for Truthful and Distributed Mobile Charging in UAV-Assisted Digital-Twin Networks
    IEEE Transactions on Intelligent Vehicles, v(n):ppp-ppp, Month Year. Soyi Jung, et al.

50. Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles
    IEEE Transactions on Vehicular Technology, 73(7):10681-10696, July 2024. Soohyun Park, et al.

51. Learning-Based Cooperative Mobility Control for Autonomous Drone-Delivery
    IEEE Transactions on Vehicular Technology, 73(4):4870-4885, April 2024. Soohyun Park, et al.

52. Intelligent Caching for Seamless High-Quality Streaming in Vehicular Networks: A Multi-Agent Reinforcement Learning Approach
    IEEE Transactions on Intelligent Vehicles, 9(2):3672-3686, February 2024. Minseok Choi, et al.

53. Two-Stage Self-Adaptive Task Outsourcing Decision Making for Edge-Assisted Multi-UAV Networks
    IEEE Transactions on Vehicular Technology, 72(11):14889-14905, November 2023. Soyi Jung, et al. 

54. 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.

55. Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications
    IEEE Transactions on Intelligent Transportation Systems, 24(1):885-890, January 2023.

56. Joint Pilot Design and Channel Estimation using Deep Residual Learning for Multi-Cell Massive MIMO under Hardware Impairments
    IEEE Transactions on Vehicular Technology, 71(7):7599-7612, July 2022.

57. Stabilized Detection Accuracy Maximization using Adaptive SAR Image Processing in LEO Networks
    IEEE Transactions on Vehicular Technology, 71(5):5661-5665, May 2022.

58. Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles
    IEEE Transactions on Vehicular Technology, 71(2):2002-2017, February 2022.

59. Infrastructure-Assisted On-Driving Experience Sharing for Millimeter-Wave Connected Vehicles
    IEEE Transactions on Vehicular Technology, 70(8):7307-7321, August 2021. Soyi Jung, et al. 

60. Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems
    IEEE Transactions on Vehicular Technology, 70(6):5362-5377, June 2021. Soyi Jung, et al. 

61. Blind Signal Classification for Non-Orthogonal Multiple Access in Vehicular Networks
    IEEE Transactions on Vehicular Technology, 68(10):9722-9734, October 2019. Minseok Choi, et al. 

62. Auction-Based Charging Scheduling With Deep Learning Framework for Multi-Drone Networks
    IEEE Transactions on Vehicular Technology, 68(5):4235-4248, May 2019. Myungjae Shin, et al.

63. Adaptive Detector Selection for Queue-Stable Word Error Rate Minimization in Connected Vehicle Receiver Design
    IEEE Transactions on Vehicular Technology, 67(4):3635-3639, April 2018. Minseok Choi, et al.

64. Performance of Video Streaming in Infrastructure-to-Vehicle Telematic Platforms With 60-GHz Radiation and IEEE 802.11ad Baseband
    IEEE Transactions on Vehicular Technology, 65(12):10111-10115, December 2016. Joongheon Kim, et al.

(IEEE Society-Representative Journals: Learning and Informatics) Deep Learning (TNNLS, TSMC), Others

65. Hierarchical Deep Reinforcement Learning-based Propofol Infusion Assistant Framework in Anesthesia
    IEEE Transactions on Neural Networks and Learning Systems, 35(2):2510-2521, February 2024.

66. Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework
    IEEE Open Journal of the Computer Society, 4:243-252, September 2023. Hankyul Baek, et al.

67. Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control
    IEEE Transactions on Industrial Informatics, 18(10):7086-7096, October 2022.

68. Securing Heterogeneous IoT with Intelligent DDoS Attack Behavior Learning
    IEEE Systems Journal, 16(2):1974-1983, June 2022.

69. LiteZKP: Lightening Zero-Knowledge Proof-based Blockchains for IoT and Edge Platforms
    IEEE Systems Journal, 16(1):112-123, March 2022.

70. Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks
    IEEE Systems Journal, 15(3):4293-4302, September 2021. Soyi Jung, et al. 

71. Multiscale LSTM-Based Deep Learning for Very-Short-Term Photovoltaic Power Generation Forecasting in Smart City Energy Management
    IEEE Systems Journal, 15(1):346-354, March 2021. Dohyun Kim, Dohyun Kwon, et al.

72. Cooperative Management for PV/ESS-Enabled Electric-Vehicle Charging Stations: A Multiagent Deep Reinforcement Learning Approach
    IEEE Transactions on Industrial Informatics, 16(5):3493-3503, May 2020. MyungJae Shin, et al.

73. Towards Characterizing Blockchain-based Cryptocurrencies for Highly-Accurate Predictions
    IEEE Systems Journal, 14(1):321-332, March 2020.
    (IEEE Systems Journal Best Paper Award)

74. TEI-ULP: Exploiting Body Biasing to Improve the TEI-Aware Ultra-Low Power Methods
    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 38(9):1758-1770, September 2019.

75. Joint Geometric Unsupervised Learning and Truthful Auction for Local Energy Market
    IEEE Transactions on Industrial Electronics, 66(2):1499-1508, February 2019.

76. Residential Demand Response for Renewable Energy Resources in Smart Grid Systems
    IEEE Transactions on Industrial Informatics, 13(6):3165-3173, December 2017.

77. Energy-Efficient Dynamic Packet Downloading for Medical IoT Platforms
    IEEE Transactions on Industrial Informatics, 11(6):1653-1659, December 2015. Joongheon Kim

78. Stochastic Decision Making for Adaptive Crowdsourcing in Medical Big-Data Platforms
    IEEE Transactions on Systems, Man, and Cybernetics: Systems, 45(11):1471-1476, November 2015. Joongheon Kim, et al.

79. Joint Scalable Coding and Routing for 60 GHz Real-Time Live HD Video Streaming Applications
    IEEE Transactions on Broadcasting, 59(3):500-512, September 2013. Joongheon Kim, et al.

80. Movement-Aware Vertical Handoff of WLAN and Mobile WiMAX for Seamless Ubiquitous Access
    IEEE Transactions on Consumer Electronics, 53(4):1268-1275, November 2007.
    (LG Electronics Outstanding Paper Award)

81. Coverage-Time Optimized Dynamic Clustering of Networked Sensors for Pervasive Home Networking
    IEEE Transactions on Consumer Electronics, 53(2):433-441, May 2007. Joongheon Kim, et al.

(Selected non-IEEE Journals)

82. AQUA: Analytics-driven Quantum Neural Network (QNN) User Assistance for Software Validation
    Future Generation Computer Systems (Elsevier), 159:545-556, October 2024. Soohyun Park, et al.

83. Trends in Quantum Reinforcement Learning: State-of-the-Arts and the Road Ahead
    ETRI Journal (Wiley), 46(5):748-758, October 2024. Soohyun Park, et al.
    (Invited Article)

84. Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes
    ETRI Journal (Wiley), 45(5):735-745, October 2023. Soohyun Park, et al.
    (Invited Article)

85. Stereoscopic Scalable Quantum Convolutional Neural Networks
    Neural Networks (Elsevier), 165:860-867, August 2023. Hankyul Baek, et al.

86. Self-Adaptive End-to-End Resource Management for Real-Time Monitoring in Cyber-Physical Systems
    Computer Networks (Elsevier), 225:109669, April 2023. 

87. Truthful and Performance-Optimal Computation Outsourcing for Aerial Surveillance Platforms via Learning-based Auction
    Computer Networks (Elsevier), 225:109651, April 2023. Soyi Jung, et al.

88. Deep Reinforcement Learning-based Propofol Infusion with a 3,000-subject Dataset in Anesthesia
    Computers in Biology and Medicine (Elsevier), 156:106739, April 2023.

89. Contra-*: Mechanisms for Countering Spam Attacks on Blockchain's Memory Pools
    Journal of Network and Computer Applications (Elsevier), 179:102971, April 2021.

90. Resource-Aware Relay Selection for Inter-Cell Interference Avoidance in 5G Heterogeneous Network for Internet of Things Systems
    Future Generation Computer Systems (Elsevier), 93:877-887, April 2019.

91. Thriving on Chaos: Proactive Detection of Command and Control Domains in Internet of Things-Scale Botnets using DRIFT
    Transactions on Emerging Telecommunications Technologies (Wiley), 30(4):e3505, April 2019. 

(Top Conferences) Quantum, AI, Mobility, Networks

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

93. Advanced Taxiing Path Guidance using Multi-Agent Reinforcement Learning for Air Traffic Management
    IEEE WiOpt (2024) Sungjoon Lee, et al. 

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

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

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

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

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

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

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

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

102. Mempool Optimization for Defending Against DDoS Attacks in PoW-based Blockchain Systems
     IEEE ICBC (2019) 

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

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

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

106. Effect of Localized Optimal Clustering for Reader Anti-Collision in RFID Networks: Fairness Aspect to the Readers
     IEEE ICCCN (2005) Joongheon Kim, et al. 

(University Lectures)

• Graduates

  • IT R&D Policies [ECE723], Korea University Department of Electrical and Computer Engineering (Fall 2020)

  • Design and Analysis of Wireless Communication Systems [ECE721], Korea University Department of Electrical and Computer Engineering (Spring 2021)

  • Sensor Networks [ECE662], Korea University Department of Electrical and Computer Engineering (Spring 2023)

  • Advanced Network Theory [ECE657], Korea University Department of Electrical and Computer Engineering (Fall 2022)

  • Smart Mobile Platform [ECE654], Korea University Department of Electrical and Computer Engineering (Fall 2023, Fall 2021, Fall 2020, Fall 2019)

  • Advanced Topics in Socialware IT [ECE545], Korea University Department of Electrical and Computer Engineering (Spring 2022)

  • Queueing Theory 1 [ECE527], Korea University Department of Electrical and Computer Engineering (Fall 2024)

  • Wireless and Mobile Networks [ECE522], Korea University Department of Electrical and Computer Engineering (Spring 2024, Spring 2020)

  • Wireless Network 2 [ITH525], Korea University Graduate School of Engineering and Technology (Fall 2022)

  • Wireless Network 1 [ITH524], Korea University Graduate School of Engineering and Technology (Spring 2021)

  • Optimal Design Theory and Applications, Chung-Ang University School of Computer Science and Engineering (Spring 2019, Spring 2018, Spring 2017)

  • Topics in Computer Science and Engineering, Chung-Ang University School of Computer Science and Engineering (Fall 2018, Fall 2017, Fall 2016)

• Undergraduates

  • Introduction to Artificial Intelligence [IWC420], Korea University International Winter Campus (Winter 2023-2024, Winter 2022-2023, Winter 2021-2022)

  • Introduction to Computer Science [IWC293], Korea University International Winter Campus (Winter 2023-2024)

  • Data Communications [KECE316], Korea University School of Electrical Engineering (Fall 2020)

  • Digital System Design and Laboratory [KECE210], Korea University School of Electrical Engineering (Fall 2020)

  • Probability and Random Process [KECE209], Korea University School of Electrical Engineering (Spring 2023, Spring 2022, Spring 2021, Spring 2020)
    Spring 2022, Best Teaching Award (Top 20% in Korea University Lectures) (90 students)
    Spring 2021, Best Teaching Award (Top 20% in Korea University Lectures) (92 students)

  • Digital System [KECE207], Korea University School of Electrical Engineering (Spring 2020)

  • Computer Language and Laboratory [EGRN151], Korea University School of Electrical Engineering (Fall 2024, Fall 2023, Fall 2022, Fall 2021, Fall 2020, Fall 2019)
    Fall 2021, Granite Tower Best Teaching Award (Top 5% in Korea University Lectures) (98 students)
    Fall 2020, Best Teaching Award (Top 20% in Korea University Lectures) (129 students)
    Fall 2019, Granite Tower Best Teaching Award (Top 5% in Korea University Lectures) (100 students)

  • Introduction to Communication/Computing [COMM105], Korea University Department of Communications Engineering (Spring 2024, Spring 2023)

  • Object-Oriented Programming [SEMI104], Korea University Department of Semiconductor Engineering (Fall 2021)
    Fall 2021, Best Teaching Award (Top 20% in Korea University Lectures) (22 students)

  • Introduction to Computers [SEMI103], Korea University Department of Semiconductor Engineering (Spring 2021)
    Spring 2021, Granite Tower Best Teaching Award (Top 5% in Korea University Lectures) (28 students)

  • Future Mobility Technology [GEQR075], Korea University General Education (Spring 2023, Spring 2022)
    Spring 2022, Granite Tower Best Teaching Award (Top 5% in Korea University Lectures) (198 students)

  • Data Science and Artificial Intelligence [GECT003], Korea University General Education (Fall 2024 (2 classes))

  • SW Programming Basics [GECT002], Korea University General Education (Spring 2024 (3 classes))

  • Numerical Analysis, Chung-Ang University School of Computer Science and Engineering (Spring 2019)

  • Compiler Design, Chung-Ang University School of Computer Science and Engineering (Spring 2019, Spring 2018, Spring 2017)

  • Principles of Programming Languages, Chung-Ang University School of Computer Science and Engineering (Fall 2018, Fall 2017, Fall 2016)

  • Algorithm Analysis, Chung-Ang University School of Computer Science and Engineering (Fall 2016)

  • Mobile App Development, Chung-Ang University School of Computer Science and Engineering (Fall 2018, Fall 2017)

  • Operating Systems, Chung-Ang University School of Computer Science and Engineering (Spring 2017, Spring 2016)

  • Calculus, Chung-Ang University School of Computer Science and Engineering (Spring 2017, Spring 2016)

(IEEE Style Bio)

{Joongheon Kim}

(M'06--SM'18) has been with Korea University, Seoul, Korea, since 2019, where he is currently an associate professor at the School of Electrical Engineering and adjunct professor at the Department of Communications Engineering and Department of Semiconductor Engineering. He also has been a director for Net-Zero CAFE (Connectivity and Autonomy for Future Ecosystem) Research Center, sponsored by Korean Ministry of Science and ICT (MSIT), since 2024. He received the B.S. and M.S. degrees in computer science and engineering from Korea University, Seoul, Korea, in 2004 and 2006; and the Ph.D. degree in computer science from the University of Southern California (USC), Los Angeles, CA, USA, in 2014. Before joining Korea University, he was a research engineer with LG Electronics (Seoul, Korea, 2006--2009), a systems engineer with Intel Corporation (Santa Clara, CA, USA, 2013--2016), and an assistant professor with Chung-Ang University (Seoul, Korea, 2016--2019). 

He serves as an editor for \textsc{IEEE Transactions on Vehicular Technology} and \textsc{IEEE Internet of Things Journal}. He was a recipient of Annenberg Graduate Fellowship with his Ph.D. admission from USC (2009), Intel Corporation Next Generation and Standards (NGS) Division Recognition Award (2015), \textsc{IEEE Systems Journal} Best Paper Award (2020), IEEE ComSoc Multimedia Communications Technical Committee (MMTC) Outstanding Young Researcher Award (2020), and IEEE ComSoc MMTC Best Journal Paper Award (2021). He also received several awards from IEEE conferences including IEEE ICOIN Best Paper Award (2021), IEEE ICTC Best Paper Award (2022), and IEEE Vehicular Technology Society (VTS) Seoul Chapter Awards.