Ai Electromagnetics Professors in Global

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Il-min Kim
Queen's University Canada
ai physical systems
geoscience ai
agentic ai
ai alignment
ai healthcare applications
generative ai
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Wm. Kennedy
University of Oxford United Kingdom
ai education
ai evaluations
ai human rights
interdisciplinary ai
ai foresight
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Ahmed Ashraf
University of Manitoba Canada
ai electromagnetics
ai epigenetics
ai power systems
ai transportation engineering
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Luis Gomez
Purdue University United States of America
electromagnetics
bio-electromagnetics
applied computational electromagnetics
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Michal Okoniewski
University of Calgary Canada
applied electromagnetics
bio-electromagnetics
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Sirisha Rambhatla
University of Waterloo Canada
ai healthcare
ai intelligent automation
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Mark Crowley
University of Waterloo Canada
ai science
ai video games
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Anthony Centeno
University of Glasgow United Kingdom
applied electromagnetics
electromagnetic materials
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Puyan Mojabi
University of Manitoba Canada
applied electromagnetics
electromagnetic imaging
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Xianghan O'dea
King's College London United Kingdom
ai education
generative ai
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Alessandro Bozzon
Delft University of Technology Netherlands
ai systems
ai-driven systems
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Shiren Wang
Texas A&M University United States of America
edge ai-driven electronic manufacturing
ai-powered intelligent materials
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Rashid Mirzavand
University of Alberta Canada
ai-powered wireless sensing
electromagnetic measurements
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Elena Lomonova
Eindhoven University of Technology Belgium
electromagnetics
electromechanics
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Rashid Mirzavand
University of Alberta Canada
ai-powered wireless sensing
electromagnetic measurements
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Rashid Mirzavand
University of Alberta Canada
ai-powered wireless sensing
electromagnetic measurements
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Samuel Brasil
Harvard University United States of America
agentic ai
ai alignment
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Gianluca Lazzi
University of Southern California United States of America
wireless electromagnetics
bioelectromagnetics
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Xi Chen
New York University United States of America
agentic ai
ai operations
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Guangzhi Tang
Maastricht University Netherlands
edge ai
ai-enabled automation
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Jing Tian
Pennsylvania State University United States of America
ai-augmented systems
ai innovation
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