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Research Quick Takes

Aug 13, 2026

Power Electronics Poster Award

PhD students Lukas Song and Kishalay Datta, postdoc Yanqiao Li, and Professor Jason Stauth received a Best Poster Award at this year's IEEE Workshop on Control and Modeling for Power Electronics at the University of Cambridge. The award was for the paper "Analysis and Design of a Piezoelectric Resonator Based 2:1 Hybrid DC-DC Converter," which proposed introducing added inductors and capacitors back into the piezoelectric power converter.

Aug 13, 2026

Advancing HDR Brachytherapy

PhD student Kevin Willy, and Thayer co-authors Megan Clark Th'25 and professors Petr Brůža and David Gladstone, were Science Council Session Winners at the American Association of Physicists in Medicine (AAPM) Annual Meeting in Vancouver. Their paper, "Advancing HDR Brachytherapy: Real-time optical in vivo dosimetry with source tracking," focuses on measuring treatment and dose parameters for high-dose-rate brachytherapy. The topic was identified by AAPM as being "at the frontier of medical physics."

Aug 13, 2026

IEEE PES Prize Paper Award

Professor Junbo Zhao won the IEEE Power & Energy Society Technical Committee Prize Paper Award for "A topology-based edge computing framework for digital power system small-signal stability analysis," published in IEEE Transactions on Power Systems. The proposed framework leverages the computation and communication capabilities of Intelligent Electronic Devices to reduce the burden on the control center and facilitate the digital transition.

Aug 13, 2026

AFOSR Young Investigator Award

Professor Wesley Marrero received a Young Investigator Program Award from the Air Force Office of Scientific Research (AFOSR). The award provides $450,000 over three years to advance the scientific foundations of interpretable artificial intelligence for time-varying decision environments. Marrero will develop methods for learning optimal decision strategies with tree-like structures or under user-defined interpretability rules. The project is motivated by challenges that deployed medics face when making rapid triage and evacuation decisions in austere environments. "For AI tools to be effective and trusted by military leadership, they must adapt to fast-changing scenarios and deliver logical recommendations that can be easily understood," he said.

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