Diana Marculescu joined the Department from the University of Southern California, Los Angeles, where she earned her Ph.D. degree in Computer Engineering. Dr. Marculescu’s expertise is in the area of Computer-Aided Design (CAD) of digital circuits, especially probabilistic modeling and analysis for power estimation of digital circuits. During her doctoral studies at the University of Southern California, she was actively involved in the Low-Power CAD Group’s projects on low-power design and power analysis and estimation.

She was a member of the team that developed POSE (Power Optimization and Synthesis Environment), a package for automatic synthesis of low-power digital circuits. Dr. Marculescu’s other research interests include probabilistic analysis of large digital systems with application to power estimation, power optimization, verification and performance analysis of digital circuits, and embedded system design with an emphasis on low-power applications.

Manoj Franklin joined the Department from Clemson University, where he was an Assistant Professor for five years. He received his B.Sc. degree in Electronics and Communications Engineering in 1984 from the University of Kerala, India, and both his M.S. and Ph.D. degrees in Computer Science from the University of Wisconsin-Madison in 1990 and 1993, respectively.

His Ph.D. work focused on defining and developing the Multiscalar Architecture. He worked during the summer of 1990 at Cray Research Inc., in Chippewa Falls, Wisc., and during the summer of 1991 at IBM T. J. Watson Research Center in New York. He was awarded an IBM Graduate Fellowship during 1990-1993, the NSF Research Initiation Award in 1994, and the NSF CAREER award in 1997. His primary research interests are in computer architecture, instruction-level parallel (ILP) processing, ILP compilation, processor design, digital testing, and fault-tolerant computing.
Haralabos Papadopoulos joined the Department from the Massachusetts Institute of Technology, where he earned his Ph.D. degree in Electrical Engineering and Computer Science.

Haralabos Papadopoulos joined the Department from the Massachusetts Institute of Technology, where he earned his Ph.D. degree in Electrical Engineering and Computer Science.

His research interests are in signal processing and communications with emphasis on designing physical-layer algorithms for efficient communication over fading channels, constructing computationally-efficient algorithms for distributed estimation and detection, and exploring applications of certain classes of nonlinear systems in signal processing and communications. For his doctoral work, Dr. Papadopoulos developed a versatile framework for designing signal processing algorithms for a large class of distributed sensor networks where there are limitations in the amount of information that each sensor can communicate to the host, and where there are also inherent processing constraints at each sensor. A primary thrust of his current research is in the use of nonlinear systems with compelling properties in synthesis applications in signal processing and communications.