ECE News and Features
Faculty Research News

Professor Honghong Tinn's book Island Tinkerers examines the rise of Taiwan’s tech industry
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The book challenges prevailing myths around innovation in computing technology and chronicles the flow of knowledge and expertise between the two countries.

Professor Mohammad Ali Maddah-Ali selected as IEEE ITSoc Distinguished Lecturer
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Professor Maddah-Ali renowned expertise in information theory has brought about groundbreaking innovations in practical applications.

Professor Mingyi Hong elevated to IEEE Fellow
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The elevation recognizes Hong’s contributions to issues in optimization which have advanced research in signal processing and positively impacted challenges in critical areas such as wireless communication, machine learning and AI.

Paul Palmberg Professor Tony Low among most highly cited researchers
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Professor Low is a well known authority on nanophotonics and nanoelectronics based on 2D materials

Paper authored by Professor Keshab Parhi and alumnus Xingyi Liu featured in Quantum Zeitgeist
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The highlighted paper offers a new approach to molecular and DNA memristors

Professor John Sartori is a 2024 Innovation Impact Case awardee
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The award recognizes Sartori and Professor Michael Pitt (Department of Pediatrics) for Q-rounds, a hospital round queueing software.

SRC honors Professor Chris Kim with Sustainable Future Award
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The award recognizes Kim’s work on a groundbreaking energy efficient quantum-inspired chip that can solve complex optimization problems

Planar hyperbolic polaritons: an opportunity for new tools for thermal and nanoscale applications
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In the Nature Communications article, scientists provide an insight into particles called planar hyperbolic polaritons and their potential applications as tools for the control of electromagnetic fields at the nanoscale as well as thermal management.

Visual technique to detect misfolded proteins could aid early diagnosis of neurodegenerative diseases
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Detection of misfolded proteins in biological samples by observing capillary behavior can make for a cost-effective diagnostic technique

New hardware device to make artificial intelligence applications more energy efficient
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The state-of-the-art hardware device could reduce energy consumption for artificial intelligence (AI) computing applications by a factor of at least 1,000.