Deguang Kong is currently a staff research scientist at Samsung Research America Silicon Valley, and ever worked in Los Alamos national Lab, NEC research lab and Penn State University as a research intern. His research interests revolve around security and privacy, smart trustworthy system, data science, focusing on smartphone and malware, feature learning and compressive sensing, user engagement understanding and recommendation, etc. He obtained a Ph.D. in data science from University of Texas Arlington (2013), a Ph.D. in cyber-security from University of Science and Technology of China (2010) under the supervision of Dr. Peng Liu (https://s2.ist.psu.edu/people.html). He has published over 30 referred articles in top conferences, including CCS, DSN, INFOCOM, Ubicomp, Sigmetric, DIMVA, Securecomm and ICML, NIPS, AAAI, CVPR, KDD, ICDM, SDM, WSDM, CIKM, ECML/PKDD, etc. He has served as a program committee member in AAAI, IJCAI, KDD, SDM and a reviewer for TDSC, TIFS, TPAMI, TKDE, etc. His paper “User centric approach towards mobile app security risk assessment” was selected as Samsung Electronics best paper Silver award in 2015 from more than 1200 submissions.