Dec 2025 A paper at GLOBECOM

We published the paper entitled "Deep unfolding learning-based beamforming design for multi-user MIMO-OFDM integrated sensing and communication systems" at IEEE GLOBECOM 2025.

This work targets the runtime bottleneck of optimization-based beamforming for multi-user MIMO-OFDM ISAC. Building on a WMMSE-SCA formulation, we unfold the iterative procedure into a lightweight neural architecture (UBeD) and train it with an unsupervised loss directly tied to the ISAC objective. Training tricks such as RD-bin weighting and dynamic tradeoff control further stabilize convergence. Simulation show that UBeD achieves superior sensing-communication tradeoffs while slashing per-design runtime from hours to seconds and maintaining scalability as system dimensions grow.

Oct 2025 Two Members Honored by CIEE Awards

Prof. Li-Chun Wang has been awarded the Electrical Engineering Medal (Academic Research Category) by the Chinese Institute of Electrical Engineering (CIEE) for the year 2025.

This honor recognizes Dean Wang’s long-standing contributions to academic research in electrical and communication engineering, as well as her leadership in advancing interdisciplinary collaboration and innovation within NYCU. Her achievements exemplify the university’s commitment to academic excellence and impactful research.

Prof. Ming-Chun Lee has been honored with the Outstanding Young Electrical Engineer Award by the Chinese Institute of Electrical Engineering (CIEE) for 2025.

This award highlights Prof. Lee’s innovative contributions to communication systems and signal processing. His research integrates optimization and deep learning techniques to enhance next-generation wireless network efficiency and intelligence, significantly influencing the future of 6G technologies.

Oct 2025 A paper at IEEE Communications Magazine

We collaborated with our international partner, Prof. Vahid Jamali from TU Darmstadt, and published the paper entitled "Robust and Resilient Networks with Integrated Sensing, Communication and Computation" at IEEE Communication Magazine.

The main contribution of this paper lies in the first introduction of the “R²-ISCC (Robust and Resilient Integrated Sensing, Communication, and Computation)” concept. The paper proposes five key enablers, including robust and proactive resource management, efficient information exchange, digital twin assisted R²-ISCC network, distributed multi-tier multi-modal  network architectures, and holistic approach to Robust-and-Resilient-by-Design ISCC network.
In the simulation based on a distributed radar sensing network, the results show that the strategy which simultaneously consider both Robust and Resilient designs can maintain the sensing SNR remains reliably above the threshold throughout the trajectory. 

Sept 2025 Tutorial talk at APNOMS 2025

Ming-Chun delivered a tutorial talk entitled “MIMO-OFDM ISAC Systems: Fundamentals, Recent Advances, and Opportunities” at the 25th Asia-Pacific Network Operations and Management Symposium.

June 2025 A paper at ISIT

We published the paper entitled "On the scaling law tradeoff of integrated sensing and communication networks" at IEEE ISIT 2025.

In this work, we fully characterize the optimal scaling-law tradeoff between communication throughput and sensing range of large ad hoc ISAC wireless networks. Our results show that by slightly reducing throughput, we can significantly extend the sensing range. Specifically, the improvement in sensing range is proportional to the degree of throughput reduction, scaled by the relative difference in how signals weaken over distance in communication versus sensing.

Jan 2025 NYCU ISAC team officially formed

The NYCU ISAC team was officially formed, comprising five professors at NYCU and three international collaborators: Jinhong Yuan (UNSW, Australia), Vahid Jamali (TU Darmstadt, Germany), and Geoffrey Li (Imperial College London, UK).