Artificial Intelligence and Machine Learning Research at UC Santa Barbara
 
AGENDA
 
	
		
		
	
	
		
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			 8:30am 
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			 Welcome Mixer 
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			 9:00am 
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			 Welcome and Opening Remarks: 
			Tresa Pollock Interim Dean of Engineering and ALCOA Distinguished Professor, Materials 
			Pierre Wiltzius Executive Dean of the College of Letters and Science, Susan & Bruce Worster Dean of Science, Professor of Physics 
			William Wang Director, Center for Responsible Machine Learning and Mellichamp Associate Professor of Artificial Intelligence 
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			 9:15am 
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			 Opening Keynote: 
			Miguel Eckstein Director, Mellichamp Initiative in Mind and Machine Intelligence and Mellichamp Professor of Psychological and Brain Sciences 
			Session Chair: William Wang 
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			 10:00am 
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			 ML Foundations:  
			Sui Tang Assistant Professor of Mathematics 
			Ruimeng Hu Assistant Professor, Department of Mathematics and Department of Statistics & Applied Probability   
			Igor Mezic Professor of Mechanical Engineering 
			Yu-Xiang Wang Co-Director of the Center for Responsible Machine Learning and Eugene Aas Assistant Professor of Computer Science 
			Session Chair: Mahnoosh Alizadeh Associate Professor, Electrical and Computer Engineering 
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			 11:30am 
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			 Lunch break 
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			 12:15pm 
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			 Afternoon Keynote: 
			B.S. Manjunath Distinguished Professor and Chair, Electrical and Computer Engineering 
			Session Chair: Yu-Xiang Wang 
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			 1:00pm 
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			 ML for Science and Engineering:  
			Lei Li Assistant Professor of Computer Science 
			Claudio Campagnari Professor and Department Chair, Physics  
			Sam Daly Professor of Mechanical Engineering 
			Stephen Wilson Professor and Associate Chair, Materials  
			Yao Qin Assistant Professor, Electrical and Computer Engineering 
			Session Chair: Timothy Sherwood Professor of Computer Science  
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			 3:00pm 
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			 Break 
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			 3:15pm 
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			 ML for Arts, Humanities, and Social Sciences:  
			Simon Todd Assistant Professor of Linguistics 
			Paul Leonardi Chair and Duca Family Professor of Technology Management 
			Session Chair: Kyle Lewis Department Chair and Professor, Technology Management 
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			 4:30pm 
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			 Breakout Session: 
			 
			Topic 1: Responsible and Safe Use of AI 
			Topic 2: Getting the Most of AI, Data, and Foundation Models 
			Topic 3: Interdisciplinary Collaborations in AI and Machine Learning 
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			 5:20pm 
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			 Summary, closing remarks and adjourn 
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Sponsored by the Center for Responsible Machine Learning, the Mellichamp Initiative in Mind and Machine Intelligence, Amazon Alexa AI, AppFolio, and ScOp Venture Capital