|Role||Professor of Electrical & Computer Engineering|
|Institution||The University of Texas at Austin|
|Key Words / Areas of Interest||High Performance Computing, Embedded Systems, Cyber-Physical Systems, Low-power Computing, Social Networks, Machine Learning.|
|Expertise Sought||Looking for partners interested in exploring synergies at the intersection of machine learning and systems design, in-device mobile learning, edge computing, Internet-of-Things (IoT). Other areas of interest are social sensing, opinion dynamics, social cyber-security, adversarial networks.|
Radu Marculescu received his Ph.D. in Electrical Engineering from the University of Southern California in 1998. Radu’s current research focuses on developing methods and tools for modeling and optimization of embedded systems, cyber-physical systems, social networks, and biological systems. For his work on design automation and embedded systems design, Radu received the Donald O. Pederson Best Paper Award from the IEEE Trans. of Computer-Aided Design of Integrated circuits and Systems in 2012, Best Paper Award of IEEE Trans. on VLSI Systems in 2018, 2011, and 2005, and several best paper awards in major conferences and symposia. Radu has served as an Associate Editor of IEEE Trans. on Computers, IEEE Trans. on Computer-Aided Design of Circuits and Integrated Systems, IEEE Trans. on VLSI, ACM Trans. on Embedded Computing Systems, PeerJ. Radu is a Fellow of IEEE for contributions to the design and optimization of on-chip communication for embedded multicore systems.