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Multimodal Sensing of Human Behavior

Event date: 
Friday, 20 July, 2018 - 11:00
Sala Consiglio - West Building, ground floor
Mihai Burzo - University of Michigan, Ann Arbor, USA
Rada Mihalcea - University of Michigan, Ann Arbor, USA

Mihai Burzo is an Assistant Professor of Mechanical Engineering at the University of Michigan-Flint. Prior to joining University of Michigan in 2013 he was an Assistant Professor at University of North Texas. His research interests include heat transfer in microelectronics and nanostructures, thermal properties of thin films of new and existing materials, multimodal sensing of human behavior, computational modeling of forced and natural heat convection. He has published over 50 articles in peer reviewed journals and conference proceedings. He is the recipient of several awards, including the 2006 Harvey Rosten Award For Excellence for “outstanding work in the field of thermal analysis of electronic equipment”, the best paper award at the Semitherm conference in both 2013 and 2006, the Young Engineer of the Year from the North Texas Section of ASME (2006), a Leadership Award from SMU (2002), and a Valedictorian Award (1995). 

Rada Mihalcea is a Professor in the Computer Science and Engineering department at the University of Michigan. Her research interests are in computational linguistics, with a focus on lexical semantics, graph-based algorithms for natural language processing, and multilingual natural language processing. She serves or has served on the editorial boards of the Journals of Computational Linguistics, Language Resources and Evaluations, Natural Language Engineering, Research in Language in Computation, IEEE Transactions on Affective Computing, and Transactions of the Association for Computational Linguistics. She was a program co-chair for the Conference of the Association for Computational Linguistics (2011) and the Conference on Empirical Methods in Natural Language Processing (2009), and a general chair for the Conference of the North American Chapter of the Association for Computational Linguistics (2015). She is the recipient of a National Science Foundation CAREER award (2008) and a Presidential Early Career Award for Scientists and Engineers (2009). 



Much of what we do today is centered around humans — whether is building cars, developing the next generation of smartphones, or creating new social media platforms. A better understanding of people can not only answer fundamental questions about “us” as humans, but can also facilitate the development of enhanced, personalized technologies. In our labs, we developed a multimodal framework that allows us to capture multiple diverse signals that are reflective of human behaviors, thereby enabling us to understand several human-centric phenomena such as discomfort, alertness, stress, affect, or deception. In this talk, we will describe our framework, the setup that supports this framework, and present several projects that we have been working on in this space.