AI and learning-based methods for the engineering, design, and architecture of complex systems. I am particularly interested in approaches that combine data, domain structure, and physical constraints to support system-level reasoning, coordination, and decision-making. My background is in signal processing for wireless systems. Current efforts include wireless connectivity for Trade and Connectivity applications, particularly maritime and port environments.
I design and operate small multi-agent systems that coordinate specialized AI agents across structured coding workflows, LLM-assisted knowledge bases, and day-to-day research operations. My current setup uses NanoClaw and Telegram to assign work, supervise agent activity, and connect these tools to practical workflows.
P. Li, S. Sun, G. C. F. Lee, C. Chen, S. Zhu, X. Guan, and G. P. Fettweis, “State Estimation and Communication Co-Design in IIoT Systems: A Brief Survey,” Journal of Communications and Information Networks, vol. 11, no. 1, pp. 1--21, Mar. 2026. doi: 10.23919/JCIN.2026.11474252
A. Li, S. Wu, G. C. Lee, and S. Sun, “From freshness to effectiveness: Goal-oriented sampling for remote decision making,” IEEE Transactions on Information Theory, 2026
J. Ning, A. Li, G. C. Lee, S. Sun, and T. Yang, “MARHO: Hybrid task offloading in maritime mec via multi-agent reinforcement learning,” IEEE Open Journal of the Communications Society, vol. 6, pp. 10 322–10 337, 2025.
C. Prothmann, V. Gadepally, J. Kepner, K. Borchard, L. Carlone, Z. Folcik, J. D. Griffith, M. Houle, J. P. How, N. Hughes et al., “Advancing AI challenges for the United States department of the Air Force,” in 2025 IEEE High Performance Extreme Computing Conference (HPEC). IEEE, 2025, pp. 1–8.
X. Sun, T. Yang, C. Han, G. C. Lee, and S. Sun, “An efficient and privacy-enhanced U-shaped split federated learning method for distributed multi-client systems,” in 2025 IEEE International Conference on Communications Workshops (ICC Workshops). IEEE, 2025, pp. 1432–1437.
J. Ning, P. Zhu, C. Zheng, G. Lee, S. Sun, and T. Yang, “EdgePrompt: A distributed key-value inference framework for LLMs in 6G networks,” in IEEE INFOCOM 2025-IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). IEEE, 2025, pp. 1–6.
A. Boonkajay, C.-L. Chung, J. Huang, G. Lee, Q. Zhang, C. M. Pang, V. Sridharan, E. Kurniawan, and S. Sun, “Testbedding of AI-powered resilient dual-wireless network solutions for virtual power plant,” in 2025 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS). IEEE, 2025, pp. 1–5.
X. Sun, T. Yang, C. Han, G. C. Lee, and S. Sun, “Subarea collaborative deep Q-network with online learning: Advanced multi-agent routing strategies for dynamic maritime networks,” IEEE Open Journal of the Communications Society, 2025.
G. C. Lee, D. Khu, F. Guretno, and E. Kurniawan, “Specializing language models for 3GPP standards: Enhancements for technical document queries,” in 2024 IEEE Globecom Workshops (GC Wkshps). IEEE, 2024, pp. 1–6.
J. Huang, G. C. Lee, E. Kurniawan, A. Boonkajay, and S. Sun, “High-reliability wireless communications for virtual power plant with efficient network redundancy,” in 2024 IEEE Globecom Workshops (GC Wkshps). IEEE, 2024, pp. 1–6.
A. Li, X. Chen, S. Wu, G. C. Lee, and S. Sun, “Unified upper bounds on the ML decoding error probability of spinal codes over fading channels,” IEEE Transactions on Wireless Communications, 2025.
Y. Long, G. C. Lee, L. Li, S. Gong, S. Sun, and D. Niyato, “Semantic pre-extraction for energy-efficient AOI minimization in UAV-assisted wireless networks,” in 2025 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2025, pp. 1–6.
A. Lancho, A. Weiss, G. C. Lee, T. Jayashankar, B. G. Kurien, Y. Polyanskiy, and G. W. Wornell, “RF challenge: The data-driven radio frequency signal separation challenge,” IEEE Open Journal of the Communications Society, 2025.
Y. Long, S. Gong, S. Sun, G. C. Lee, L. Li, and D. Niyato, “Lyapunov-guided deep reinforcement learning for semantic-aware AOI minimization in UAV-assisted wireless networks,” IEEE Transactions on Wireless Communications, 2025.
A. Li, S. Wu, G. C. Lee, X. Chen, and S. Sun, “Sampling to achieve the goal: An age-aware remote Markov decision process,” in 2024 IEEE Information Theory Workshop (ITW). IEEE, 2024, pp. 121–126.
G. C. Lee, E. Kurniawan, and Y. Zheng, “Odometry-aided mmWave communications using overparameterized beamforming optimization,” in 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring). IEEE, 2024, pp. 1–6.
T. Jayashankar, B. Kurien, A. Lancho, G. C. Lee, Y. Polyanskiy, A. Weiss, and G. W. Wornell, “The data-driven radio frequency signal separation challenge,” in 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). IEEE, 2024, pp. 53–54.
T. Jayashankar, G. C. Lee, A. Lancho, A. Weiss, Y. Polyanskiy, and G. Wornell, “Score-based source separation with applications to digital communication signals,” Advances in Neural Information Processing Systems, vol. 36, pp. 5092–5125, 2023.
G. C. Lee, A. Weiss, A. Lancho, Y. Polyanskiy, and G. W. Wornell, “On neural architectures for deep learning-based source separation of co-channel OFDM signals,” in ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023, pp. 1–5.
A. Lancho, A. Weiss, G. C. Lee, J. Tang, Y. Bu, Y. Polyanskiy, and G. W. Wornell, “Data-driven blind synchronization and interference rejection for digital communication signals,” in GLOBECOM 2022-2022 IEEE Global Communications Conference. IEEE, 2022, pp. 2296–2302.
G. C. Lee, A. Weiss, A. Lancho, J. Tang, Y. Bu, Y. Polyanskiy, and G. W. Wornell, “Exploiting temporal structures of cyclostationary signals for data-driven single-channel source separation,” in 2022 IEEE 32nd International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2022, pp. 1–6.
G. C. Lee, A. S. Rawat, and G. W. Wornell, “Robust direction of arrival estimation in the presence of array faults using snapshot diversity,” in 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2019, pp. 1–5.
G. C. Lee, C. Libedinsky, C. Guan, and R. So, “Use of wavelet transform coefficients for spike detection for a robust intracortical brain machine interface,” in 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER). IEEE, 2017, pp. 540–543.
P. Kongsuphol, G. C. Lee, S. K. Arya, S. Y. Chiam, and M. K. Park, “Miniaturized electrophoresis electrochemical protein sensor (MEEPS) for multiplexed protein detections,” Sensors and Actuators B: Chemical, vol. 244, pp. 823–830, 2017.
G. C. Lee, G. T. Smith, M. Agrawal, T. Leng, and A. K. Ellerbee, “Fabrication of healthy and disease-mimicking retinal phantoms with tapered foveal pits for optical coherence tomography,” Journal of biomedical optics, vol. 20, no. 8, p. 085004, 2015.
G. C. Lee, G. T. Smith, M. Agrawal, and A. K. Ellerbee, “Fabrication of anatomically tapered foveal pits for retinal phantoms for optical coherence tomography,” in Design and Performance Validation of Phantoms Used in Conjunction with Optical Measurement of Tissue VII, vol. 9325. SPIE, 2015, pp. 14–20.
L. Duan, H. Y. Lee, G. Lee, M. Agrawal, G. T. Smith, and A. K. Ellerbee, “Single-shot speckle noise reduction by interleaved optical coherence tomography,” Journal of Biomedical Optics, vol. 19, no. 12, p. 120501, 2014.
K. M. Lim, G. C. Lee, C. J. Sheppard, J. C. Phang, C. L. Wong, and X. Chen, “Effect of polarization on a solid immersion lens of arbitrary thickness,” Journal of the Optical Society of America A, vol. 28, no. 5, pp. 903–911, 2011.