Associate Dean of Engineering; Professor of Electrical and Computer Engineering; Director, Center of Cyber SecurityAffiliation:NYU Abu Dhabi Email:firstname.lastname@example.org Education: MS and PhD, The University of California San Diego
Research Areas: design-for-test, design-for-security, design for trust for VLSI circuits
Ozgur Sinanoglu is a professor of electrical and computer engineering at New York University Abu Dhabi. He earned his BS degrees, one in Electrical and Electronics Engineering and one in Computer Engineering, both from Bogazici University, Turkey in 1999. He obtained his MS and PhD in Computer Science and Engineering from University of California San Diego in 2001 and 2004, respectively. During his PhD, he won the IBM PhD fellowship award twice. He has industry experience at Texas Instruments, IBM, and Qualcomm, and has been with NYU Abu Dhabi as an assistant professor during 2010-2014, associate professor with tenure during 2014-2018, and full professor with tenure since 2018.
Professor Sinanoglu’s research interests include design-for-test, design-for-security, and design-for-trust for VLSI circuits, where he has more than 170 conference and journal papers, and 20 issued and pending US Patents. He is the recipient of the best paper awards at IEEE VLSI Test Symposium 2011 and ACM Conference on Computer and Communication Security 2013. Sinanoglu has given around two dozen tutorials on hardware security and trust in leading CAD and test conferences, such as DAC, DATE, ITC, VTS, ETS, ICCD, ISQED, etc. He is serving or has served as general/program/track/topic chair or technical program committee member in about 20 conferences, and as (guest) associate editor for IEEE TIFS, IEEE TETC, IEEE TCAD, ACM JETC, Elsevier MEJ, JETTA, and IET CDT journals. He chaired and hosted the top cybersecurity conference in Asia, ACM ASIACCS 2017, in Abu Dhabi.
Professor Sinanoglu is the director of the Design-for-Excellence Lab at NYU Abu Dhabi. His recent research in hardware security and trust has been funded by US National Science Foundation, US Department of Defense (Army Research Office and DARPA), Intel Corporation, Semiconductor Research Corporation, and Mubadala Technology.