Speakers: Sejun Song, PhD
Sejun Song, PhD
Department of Computer Science Electrical Engineering
University of Missouri Kansas City
Dr. Sejun Song directs the TSL: Trustworthy Systems and Software Research Lab. Song and his research team conduct research in the areas of trustworthy information and computing systems and software including resilient network and system management, software-defined networks, cloud computing auditability, fog computing, Internet of Things (IoT), security, high availability, data visualization, and embedded systems. Song was working for Texas A&M University, College Station (TAMU) as a faculty and director of the Cisco Test Engineering Center (Cisco-TEC). Prior to joining academia, Song has been working for various industries including Cisco Systems (senior engineer), Honeywell Research Lab (research staff), and Positive Networks (director). A couple of his initiative projects became multi-million dollar network system products. Song is a recipient of Montague-CTE (Center for Teaching Excellence) Scholar for excellence in undergraduate teaching (2013 ~ 2014) and a Faculty Teaching Excellence Award (2010) in TAMU, four Air Force Research Lab’s Visiting Faculty Research Fellowship Awards (2011 ~ 2015), a Cisco Summer Fellowship Award (2010), and has received several best research video/paper awards including Mobisys 2014, ICCCN 2014, and CIEC 2013. His research has been funded by several agencies including NSF, AFOSR, Cisco Systems, AFRL, NASA, NIH, CDC, TAMU, KT Research, and ETRI.