Application Of Ai In Power Systems Professors in Global

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Yue Zhao
University of Southern California United States of America
ai in healthcare
ai and climate modeling
safety in ai
scalable ai systems
reliable ai systems
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Glaucia Melo Dos Santos
Toronto Metropolitan University Canada
ai-driven development
adaptive ai
human-ai interaction
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Il-min Kim
Queen's University Canada
ai physical systems
ai healthcare applications
ai-driven 6th generation wireless systems
geoscience ai
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Jing Tian
Pennsylvania State University United States of America
ai-augmented systems
ai innovation
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Mahdi Abouei
University of Manitoba Canada
ai implementation
human-ai interaction
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Derya Soydaner
Leiden University Netherlands
cognitive processes in ai
human-ai interaction
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Jayashri Ravishankar
University of New South Wales Australia
power system analysis
power system modeling
power system control
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Penny Kyburz
Australian National University Australia
human-ai interaction
human-ai teaming
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Aditya Vashistha
Cornell Bowers University United States of America
human-ai interaction
ai auditing
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Xiaoyu Wang
Carleton University Canada
power system analysis
power system real-time simulation
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Morteza Zihayat
Toronto Metropolitan University Canada
decentralized ai
human-centered ai
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Baptist Liefooghe
Utrecht University Netherlands
human-ai interaction
human-centered ai
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Angel Hwang
University of Southern California United States of America
human-ai interaction
human-centered ai
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Van Carey
University of California, Berkeley United States of America
machine learning in energy applications
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Wesley De Oliveira
Umeå University Sweden
ai ecosystems
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Isabella Björkman-burtscher
University of Gothenburg Sweden
ai in radiology
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David Larson
Stanford University United States of America
ai in radiology
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Ashraf Sulayman
Technical University of Denmark Denmark
power system operation and control
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Amr Elalfy
University of Waterloo Canada
artificial intelligence (ai) applications
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Erik Wallstén Wallin
Umeå University Sweden
ai-controlled robotics
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Peng Zhang
Stony Brook University United States of America
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ai-enabled smart grids
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