Robust Ai Professors in Global

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Il-min Kim
Queen's University Canada
responsible ai
generative ai
safe ai
ai alignment
agentic ai
safe generative ai
ai physical systems
multiple ai agents
geoscience ai
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Guang Lin
Purdue University United States of America
robust ai
reliable ai
physics-informed ai
fair ai
interpretable ai
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Slawomir Stanczak
Technical University of Berlin Germany
ai-based algorithms
robust radio access systems
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Mobarak Hoque
University of Manchester United Kingdom
safe and trusted ai
agent-based ai
medical imaging ai
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Jing Tian
Pennsylvania State University United States of America
ai innovation
ai-augmented systems
explainable ai
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Francesco Leofante
Imperial College London United Kingdom
ai alignment
ai decision making
safety in ai
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Ning Wang
University of Southern California United States of America
explainable ai
ai education
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Chun Wong
Technical University of Denmark Denmark
explainable ai
healthcare ai
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Daniel De Leng
Linköping University Sweden
human-centered ai
explainable ai
symbolic ai
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Mark Crowley
University of Waterloo Canada
ai science
ai video games
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Md Al Nahian
Penn State Harrisburg United States of America
biomedical ai
ai value alignment
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Tatjana Titareva
Umeå University Sweden
ai literacy
ai education
ai policy
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Daniel Schiff
Purdue University United States of America
ai policy
social responsibility in ai
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Marina Papatriantafilou
Chalmers University of Technology Sweden
efficient robust parallel
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Daniel Uyeh
Michigan State University United States of America
ai agriculture
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Marina Gavrilova
University of Calgary Canada
trustworthy explainable ai
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Arkasama Bandyopadhyay
Texas A&M University United States of America
responsible generative ai usage
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Rahim Rahmani
Stockholm University Sweden
ai edge
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Rahim Rahmani
Stockholm University Sweden
ai edge
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Amanda Lagerkvist
Uppsala University Sweden
biometric ai
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Behnam Jafarpour
University of Southern California United States of America
ai solutions
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