Tam Vu founded and directs the Mobile and Networked Systems (MNS) lab at University of Colorado, where his team is focusing on building wireless, mobile and embedded systems to capture physical and human information, securing critical cyber-physical systems, and providing seamless network connectivity for CPS at the presence of mobility. The team designs and implements novel and practical hardware and software systems to make physiological sensing (e.g. brain signals, eye signals, breathing volume measurement, brainwave signal monitoring, muscle movement recording, and sleep quality monitoring) less intrusive at lower cost. They evaluate their systems on patients in in-hospital environments such as Colorado's Children Hospital and CU School of Medicine to prove the medical meanings and technical advances of their novel devices and technologies. He is actively pushing his research outcomes to practice through technology transfer activities with 25 patents filed and forming startups to commercialize them.
He is the recipient of Alfred F. Sloan Fellowship 2020, Google Faculty Research Award in 2014 and 2018; six Best Paper Awards at ACM MobiCom 2019, ACM SenSys 2016, ACM MobiCom 2012, ACM MobiCom 2011, ACM MobiCom S3 2016, ACM MobiCom S3 2017, Best Paper Award Nominee at ACM SenSys 2017; Best Paper Runner-up Award at ACM SenSys 2018; ACM SigMobile Research Highlights in 2016 and 2017; and Communication of ACM Research Highlight in 2017; UC Denver Creative Research Fellowship in 2015; and received wide press coverage including Denver post, CNN TV, Fox News Channel, National Public Radio (NPR), The NY Times, The Wall Street Journal, MIT TechReview, and Yahoo! News. Before joining University of Colorado Boulder in 2017, he was a faculty member at Computer Science and Engineering Department at University of Colorado Denver since 2013. Tam Vu received his Ph.D. from Computer Science and WINLAB, Rutgers in 2013.