<h2id="nd-place-in-student-paper-competition-at-aces-symposium">2026, 2nd Place in Student Paper Competition at ACES Symposium</h2>
<pclass="textCol">Congratulations to Gonzalo Núñez Muñoz, who received the 2nd place in the student paper competition at the 2026 International Applied Computational Electromagnetics Society (ACES) Symposium.
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The paper proposes a physics-guided reduced-order surrogate model for time-domain electromagnetic coupling in large resonant cavities. The surrogate captures the sharp resonance structure and strong angular sensitivity that would typically require prohibitively dense frequency and parameter sweeps. Beyond rapid predictions for any specified configuration, the surrogate naturally supports uncertainty-aware studies, including rapid probabilistic analysis under prescribed input distributions, interval-based bounds over parameter ranges, and risk-oriented metrics such as exceedance probabilities and worst-case screening.</p>
<p>Congratulations to Incheol (Aiden) Jung and Gonzalo Núñez Muñoz for the selection of Mavis Future Faculty Fellows (MF3) for the 2026–2027 academic year. The Mavis Future Faculty Fellows program is designed to train the next generation of engineering professors. The three main areas of a faculty career covered in the MF3 program are research, teaching, and service. Fellows will have an opportunity to develop and enhance their skills in these core areas through various professional development activities.</p>
<h2id="keynote-talk-at-tau-antenna-symposium">2025, Keynote talk at TAU Antenna Symposium</h2>
<h2id="keynote-talk-at-tau-antenna-symposium">2025, Keynote talk at TAU Antenna Symposium</h2>
<p>Prof. Zhen Peng delivered a keynote talk at the 13th Tel Aviv University Antenna Symposium titled “Empowering Smart Radio Environments with Quantum Computing and Machine Intelligence.” In this talk, he discussed how quantum computing (QC) can offer a scalable path to tackling the computational complexity of large-scale optimization, and how machine intelligence can enable real-time propagation analysis and 4D channel modeling for RIS-assisted wireless networks. These advances show a viable way forward for empowering the vision of smart radio environments in NextG Wireless.</p>
<p>Prof. Zhen Peng delivered a keynote talk at the 13th Tel Aviv University Antenna Symposium titled “Empowering Smart Radio Environments with Quantum Computing and Machine Intelligence.” In this talk, he discussed how quantum computing (QC) can offer a scalable path to tackling the computational complexity of large-scale optimization, and how machine intelligence can enable real-time propagation analysis and 4D channel modeling for RIS-assisted wireless networks. These advances show a viable way forward for empowering the vision of smart radio environments in NextG Wireless.</p>
@ -126,7 +140,7 @@ Q. J. Lim and Z. Peng, “A Fast and Scalable Beamforming Algorithm for Wireless
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We are proud of their outstanding work and recognition at this <ahref="https://2025.apsursi.org/spc.php">premier international symposium</a>.</p>
We are proud of their outstanding work and recognition at this <ahref="https://2025.apsursi.org/spc.php">premier international symposium</a>.</p>
<h2id="nd-place-in-student-paper-competition-at-aces-symposium">2025, 2nd Place in Student Paper Competition at ACES Symposium</h2>
<h2id="nd-place-in-student-paper-competition-at-aces-symposium-1">2025, 2nd Place in Student Paper Competition at ACES Symposium</h2>
<pclass="textCol">Congratulations to Ge Cao, who received the 2nd place in the student paper competition at the 2025 International Applied Computational Electromagnetics Society (ACES) Symposium.
<pclass="textCol">Congratulations to Ge Cao, who received the 2nd place in the student paper competition at the 2025 International Applied Computational Electromagnetics Society (ACES) Symposium.
@ -23,6 +23,24 @@ Welcome to the Advanced and Applied Computational Electromagnetics (ACEM) Group,
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## 2026, 2nd Place in Student Paper Competition at ACES Symposium
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Congratulations to Gonzalo Núñez Muñoz, who received the 2nd place in the student paper competition at the 2026 International Applied Computational Electromagnetics Society (ACES) Symposium.
<br><br>
The paper proposes a physics-guided reduced-order surrogate model for time-domain electromagnetic coupling in large resonant cavities. The surrogate captures the sharp resonance structure and strong angular sensitivity that would typically require prohibitively dense frequency and parameter sweeps. Beyond rapid predictions for any specified configuration, the surrogate naturally supports uncertainty-aware studies, including rapid probabilistic analysis under prescribed input distributions, interval-based bounds over parameter ranges, and risk-oriented metrics such as exceedance probabilities and worst-case screening.
Congratulations to Incheol (Aiden) Jung and Gonzalo Núñez Muñoz for the selection of Mavis Future Faculty Fellows (MF3) for the 2026–2027 academic year. The Mavis Future Faculty Fellows program is designed to train the next generation of engineering professors. The three main areas of a faculty career covered in the MF3 program are research, teaching, and service. Fellows will have an opportunity to develop and enhance their skills in these core areas through various professional development activities.
Prof. Zhen Peng delivered a keynote talk at the 13th Tel Aviv University Antenna Symposium titled “Empowering Smart Radio Environments with Quantum Computing and Machine Intelligence.” In this talk, he discussed how quantum computing (QC) can offer a scalable path to tackling the computational complexity of large-scale optimization, and how machine intelligence can enable real-time propagation analysis and 4D channel modeling for RIS-assisted wireless networks. These advances show a viable way forward for empowering the vision of smart radio environments in NextG Wireless.
Prof. Zhen Peng delivered a keynote talk at the 13th Tel Aviv University Antenna Symposium titled “Empowering Smart Radio Environments with Quantum Computing and Machine Intelligence.” In this talk, he discussed how quantum computing (QC) can offer a scalable path to tackling the computational complexity of large-scale optimization, and how machine intelligence can enable real-time propagation analysis and 4D channel modeling for RIS-assisted wireless networks. These advances show a viable way forward for empowering the vision of smart radio environments in NextG Wireless.
IncheolJung
4 weeks ago
