Seokbin Son

Educational Backgrounds 🧑‍🎓

Memorial University of Newfoundland - Newfoundland and Labrador, Canada
- Visiting Researcher (08/2026-10/2026) in Engineering and Applied Science (Advisor: Prof. Trung Q. Duong)
Korea University – College of Engineering, Seoul, Republic of Korea
- Ph.D. (03/2022–Present) in Electrical and Computer Engineering (Advisor: Prof. Joongheon Kim / AIM Lab )
Seoul Women’s University – College of Interdisciplinary Studies for Emerging Industries, Seoul, Republic of Korea
- B.S. (03/2018–02/2022) in Information Security

Award and Honors 🏆

Mitacs Globalink Research Award - for research in Canada (08-10/2026)
- Project Title) Quantum Federated Learning in Distributed Systems: Challenges and Future Directions
- Advisor) Prof. Trung Q. Duong (Memorial University of Newfoundland)
IEEE International Conference on Distributed Computing Systems (ICDCS), Best Runner Up Poster Paper Award (07/2025)
IEEE Seoul Section Student Paper Contest, Bronze Paper Award (12/2023)

Publication 📖

<Neural Architecture Search> (12)

[DATE’review] S. B. Son, S. Park, K. Dev, J. Kim, "Dobule Blind," Proc. of the Design, Automation and Test in Europe (DATE), Dresden, Germany, March 2027.
[NM'review] S. B. Son, S. Park, S. Y.-C. Chen, J. Kim, "Quantum Neural Architecture Search for Resilient Networked Intelligence," IEEE Network.
[AAAI’review] S. B. Son, S. Park, J. Kim, and W. Lee, "Dobule Blind," Proc. of the Annual AAAI Conference on Artificial Intelligence (AAAI), Montréal, Canada, February 2027.
[NeurIPSW’review] S. B. Son, J. Kim, and S. Park, "Dobule Blind," Proc. of the NeurIPS Workshop on Secure and Trustworthy Quantum Machine Learning, December 2026.
[WC'review] S. B. Son, H. Ahn, S. Y.-C. Chen, K. Dev, S. Park, and J. Kim, "Quantum Neural Architecture Search for Heterogeneous Mobile Systems: A Wireless Deployment Perspective," IEEE Wireless Communications.
[TNNLS'review] S. B. Son, S. Oh, J. Kim, S. Jung, S. Park, "Dobule Blind," IEEE Transactions on Neural Networks and Learning Systems.
[ACCV’26.12] S. B. Son, S. Park, J. Kim, and W. Lee, "Personalized Quantum Federated Visual Learning via Raced Architecture Search and Ensemble Calibration," Proc. of the Asian Conference on Computer Vision (ACCV), Osaka, Japan, December 2026.
[TMC’26.11] S. B. Son, H. Ahn, S. Y. C. Chen, S. Park, and J. Kim, "Efficient Quantum Neural Architecture Search with Filtered Supernet for Mobile Learning Systems," IEEE Transactions on Mobile Computing, November 2026.
[CIKM’25.11] S. B. Son, S. Y.-C. Chen, J. Kim, and S. Park, "Filtered One-Shot Training for Quantum Architecture Search," Proc. of the ACM International Conference on Information and Knowledge Management (CIKM), Seoul, Republic of Korea, November 2025.
[QCE’25.09] S. B. Son, and S. Park, "Q-RLONAS: Towards Efficient Quantum Neural Architecture Search," Proc. of the IEEE Quantum Week, Albuquerque, New Mexico, USA, August-September 2025.
[QCEW’25.09] S. B. Son, and J. Kim," Quantum Circuit Structure Optimization for Quantum Reinforcement Learning," Proc. of the IEEE Quantum Week, Albuquerque, New Mexico, USA, August-September 2025.
[EL’23.12] S. Park, S. B. Son, Y. K. Lee, S. Jung, and J. Kim, "Two-Stage Architectural Fine-Tuning for Neural Architecture Search in Efficient Transfer Learning," IET Electronics Letters, vol. 59, no. 24, pp. e13066, December 2023.

<Distributed Learning> (10)

[TNSE'review] S. B. Son, S. Park, Trung. Q. Duong, and J. Kim, "A Tutorial on Quantum Federated Learning for Heterogeneous and Personalized llaboration," IEEE Transactions on Network Science and Engineering.
[CM'review] S. B. Son, J. Kim, M. Bennis, and S. Park, "Federated Quantum Intelligence: State-of-the-Arts and the Road Ahead," IEEE Communications Magazine.
[CIM’YY.MM] S. B. Son, J. Kim, and S. Park, "Rethinking Privacy-Preserving Distributed Learning in Quantum Hilbert Spaces," IEEE Computational Intelligence Magazine (Early Access)
[ICDCS’25.07] S. B. Son, and S. Park, "Quantum Federated Aggregation using Joint Fidelity-and-Entropy Computation," Proc. of the International Conference on Distributed Computing Systems (ICDCS) Poster, Glasgow, Scotland, UK, July 2025.
[IoTJ’25.07] H. Lee, S. B. Son, S. Y. C. Chen, and S. Park, "Auction-based Trustworthy and Resilient Quantum Distributed Learning," IEEE Internet of Things Journal, vol. 12, no. 13, pp. 24530-24540, July 2025.
[NN’25.07] S. Park, H. Lee, S. B. Son, S. Jung, and J. Kim, "Quantum Federated Learning with Pole-Angle Quantum Local Training and Trainable Measurement," Neural Networks (Elsevier), vol. 187, pp. 107301, July 2025.
[TVT’25.05] S. Park, S. B. Son, S. Jung, and J. Kim, "Dynamic Quantum Federated Learning for UAV-based Autonomous Surveillance," IEEE Transactions on Vehicular Technology, vol. 74, no. 5, pp. 8158-8170, May 2025.
[IoTJ’25.03] S. B. Son, and S. Park, "Toward Uniform Quantum Federated Aggregation: Heterogeneity Exclusion using Entropy and Fidelity," IEEE Internet of Things Journal, vol. 12, no. 5, pp. 5732-5741, March 2025.
[IJCAIW’24.08] S. B. Son, and S. Park, "Fidelity-Aware Uniform Quantum Federated Learning," Proc. of the International Joint Conference on Artificial Intelligence (IJCAI) Workshop on Quantum Algorithms, Optimization, and AI, Jeju Island, Korea, Republic of, August 2024.
[BC’23.07] S. Jung, S. Park, S. B. Son, H. Lee, J. Kim, "Network Security and Trustworthiness," Fundamentals of 6G Communications and Networking, pp. 747-762, July 2023.

<Large AI Model> (2)

[IoTJ'review] S. B. Son, Y. K. Lee, S. Park, J. Kim, "Age-of-Information Aware Multi-Agent Reinforcement Learning for Synchronized 3D Scene Delivery with Multimodal LLM-Generated Texts," IEEE Internet of Things Journal.
[JKICS’25.07] S. B. Son, J. Kim, C. Jo, S. Park, "Trends in Network Optimization using Large Language Models," Journal of Korean Institute of Communications and Information Sciences, vol. 50, no. 7, pp. 1073-1084, July 2025.

<Computer Vision & Network System> (7)

[DATE’review] C. Kim, S. Lee, S. B. Son, J. Kim, H. P. In, "Dobule Blind," Proc. of the Design, Automation and Test in Europe (DATE), Dresden, Germany, March 2027.
[CIKM’26.11] S. Lee, C. Kim, S. B. Son, J. Kim, H. P. In, "Beneath the Noise: Uncovering and Distilling the Encoding Bottleneck of Quantum Models," Proc. of the ACM International Conference on Information and Knowledge Management (CIKM), Rome, Italy, November 2026.
[TVT’25.06] S. B. Son, and S. Park, "Hierarchical Scheduling for Oil Spill SAR Image Detection in Space-Air-Ground Integrated Networks," IEEE Transactions on Vehicular Technology, vol. 74, no. 6, pp. 9689-9703, June 2025.
[TGCN’24.05] M. Choi, W. J. Yun, S. B. Son, S. Park, and 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, vol. 8, no. 1, pp. 103-117, March 2024.
[JKICS’24.02] S. B. Son, H. Baek, S. Park, "Effect of Gate Variations on MNIST Classification in QNN: Experimental Study and Analysis," Journal of Korean Institute of Communications and Information Sciences, vol. 49, no. 2, pp. 254-263, Feburary 2024.
[Access’23.05] S. B. Son, S. Park, and J. Kim, "Entropy-Aware Similarity for Balanced Clustering: A Case Study With Melanoma Detection," IEEE Access, vol. 11, pp. 46892-46902, May 2023.
[BC’23.07] H. Lee, S. Park, H. Baek, C. Park, S. B. Son, J. Park, and J. Kim, "AI-Native Network Algorithms and Architectures," Fundamentals of 6G Communications and Networking, pp. 573-584, July 2023.

<Information Security> (6)

[IoTJ'YY.MM] S. Lee, S. B. Son, C. Kim, J. Kim, H. P. In, "Non-Interactive Zero-Knowledge Proofs for Verifiable Quantum Machine Learning Inference on Real Quantum Devices," IEEE Internet of Things Journal (Early Access).
[AAAI'26.01] S. K. Lee, S. B. Son, J. Kim, and H. P. In, "zkQML: Verifiable and Privacy-Preserving Inference for Quantum Machine Learning", AAAI Student Abstract and Poster, Singapore, January 2026.
[TIIS’24.08] S. B. Son, S. H. Lee, and Y. K. Lee, "A Comprehensive Study on Key Components of Grayscale-based Deepfake Detection," KSII Transactions on Internet and Information Systems, vol. 18, no. 8, pp. 2230-2252, August 2024.
[Drones’23.04] S. B. Son, and D. H. Kim, "Searching for Scalable Networks in Unmanned Aerial Vehicle Infrastructure Using Spatio-Attack Course-of-Action," Drones, vol. 7, no. 4, p. 249, April 2023.
[JKICS’22.11] S. B. Son, H. Lee, S. Park, D. H. Kim, and J. Kim, "Trends in Autonomous Course of Action for Cyber Attacks Using Reinforcement Learning," Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 11, pp. 1776-1787, November 2022.
[KMMS’21.09] S. B. Son, H. H. Jo, H. Y. Kang, B. G. Lee, and Y. K. Lee, "A Comparative Study on Deepfake Detection using Gray Channel Analysis," Journal of Korea Multimedia Society, vol. 24, no. 9, pp. 1224-1241, September 2021.

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