Speakers

Mohammad Soleymani

Mohammad Soleymani is a research assistant professor with the USC Institute for Creative Technologies. He received his PhD in computer science from the University of Geneva in 2011. From 2012 to 2014, he was a Marie Curie fellow at Imperial College London. Prior to joining ICT, he was a research scientist at the Swiss Center for Affective Sciences, University of Geneva. His main line of research involves developing automatic emotion recognition and behavior understanding methods using physiological signals and facial expressions. He is also interested in understanding subjective attributes in multimedia content, e.g., predicting whether an image is interesting from its pixels or automatic recognition of music mood from acoustic content. He is a recipient of the Swiss National Science Foundation Ambizione grant and the EU Marie Curie fellowship. He has served on multiple conference organization committees and editorial roles, most notably as associate editor for the IEEE Transactions on Affective Computing, technical program chair for ACM ICMI 2018 and ACII 2017 and general chair for ACII 2021. He is the president of the Association for the Advancement of Affective Computing (AAAC).

Changbum (Ryan) Ahn

Dr. Changbum (Ryan) Ahn is an associate professor in the Department of Construction Science at Texas A&M University. Before joining Texas A&M University, he worked at US Green Building Council, Turner Construction Company, New York City Department of Design and Construction, and the University of Nebraska-Lincoln. He received his Ph.D. in Civil and Environmental Engineering from the University of Illinois at Urbana-Champaign in 2012. His main research interest is to analyze and identify humans’ collective behavior patterns derived from wearable sensors and/or crowdsourced dataset, in order to design and build smart and connected urban communities. In particular, he is interested in capturing environmental distress of built environment users from their bio-signals and leveraging such information to evaluate neighborhood built environment. His research on this area has been recognized by the best paper award in the ASCE International Conference on Computing in Civil Engineering (2019). His research projects have been supported by various funding agencies including US National Science Foundation, the Federal Highway Administration, the Korea Agency for Infrastructure Technology Advancement, and Liberty Mutual. He has served on multiple conference organization committees, and currently serve on the editorial board of the Journal of Construction Engineering and Management. He is serving as a leadership officer of the Data Sensing and Analysis committee of American Society of Civil Engineers (ASCE) Computing division.

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