Carnegie Mellon University

Radu Marculescu

Radu Marculescu

Adjunct Professor, Electrical and Computer Engineering

Address 5000 Forbes Avenue
Pittsburgh, PA 15213


Radu Marculescu is the Kavčić-Moura Professor of Electrical and Computer Engineering at Carnegie Mellon University. He 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, he has received the Donald O. Pederson Best Paper Award from the IEEE Trans. of Computer-Aided Design of Integrated circuits and Systems in 2012, the Best Paper Award of IEEE Trans. on VLSI Systems in 2018, 2011, and 2005, the 10-Year Retrospective Most Influential Paper Award from the Asia and South Pacific Design Automation Conference in 2013, as well as several best paper awards in major conferences and symposia.

Radu currently serves as the Editor-in-Chief of Foundations & Trends of Electronic Design Automation and Associate Editor-in-Chief of IEEE Transactions on Multi-Scale Computing Systems. Over the years, he 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, ACM Trans. on Design Automation of Embedded Systems, PeerJ. He was an ACM Distinguished Speaker (2009-2012).

He has been involved in organizing many international conferences, symposia, workshops, and tutorials, as well as guest editor of several special issues in archival journals and magazines. Most recently, he was the General co-Chair of 10th edition of the Cyber-Physical Systems Week held in Pittsburgh in April 2017.

Radu is a Fellow of IEEE cited for his contributions to the design and optimization of on-chip communication for embedded multicore systems.


Ph.D., 1998 
Electrical Engineering 
University of Southern California



  • Embedded systems
  • Cyber-physical systems
  • Data and network science
  • Manycore/IoT/Edge computing
  • Computational biology
  • Machine learning

Related news

Monday, December 09, 2019

Six things you should know about AI from experts in the field

Researchers from Carnegie Mellon University’s College of Engineering share what they have learned about artificial intelligence while working in the field—from what led to the explosion of AI applications, to where it could have the biggest impact in the future, to areas still ripe for discovery.
Thursday, March 14, 2019

Marculescu named to receive IEEE Computer Society 2019 Edward J. McCluskey Technical Achievement Award

Radu Marculescu, the Kavčić-Moura Professor in the Department of Electrical and Computer Engineering at Carnegie Mellon University, has been selected to receive the IEEE Computer Society 2019 Edward J. McCluskey Technical Achievement Award, for “seminal contributions to the science of network on chip design, analysis, and optimization.”
Wednesday, August 08, 2018

Rethinking social networks

Radu Marculescu and his colleagues have created a new model of social network formation and evolution driven by the notion of “betweenness.”
Wednesday, May 16, 2018

ECE Team wins IEEE Transactions on Very Large Scale Integration Systems Best Paper Award

Professors Radu Marculescu and Diana Marculescu, post-doctoral researcher Ryan Kim, and Ph.D. student Zhuo Chen have been awarded the 2018 IEEE Transactions on Very Large Scale Integration Systems Prize Paper Award from the Circuits and Systems Society (CAS) of the Institute of Electrical and Electronics Engineers (IEEE).
Tuesday, March 20, 2018

Using machine learning to understand microbial relationships

Marculescu, along with ECE Ph.D. student Chieh Lo, has developed a machine learning algorithm — called MPLasso — that uses data to infer associations and interactions between microbes in the GI microbiome.
Tuesday, February 20, 2018

Marculescu receives Kavčić-Moura Professorship

Radu Marculescu is one of four Carnegie Mellon University faculty members that have been appointed to new Kavčić-Moura Professorships, designed to provide sustained, long-term support for scholars across the university whose breakthroughs and discoveries have the potential to impact the world where human life and technology meet.
Monday, November 07, 2016

Marculescu and researchers develop network to study bacterial communication

Marculescu investigates the way that bacteria communicate with each other and how interrupting this communication could lead to decreased drug resistance.
Friday, September 09, 2016


Diana Marculescu and Radu Marculescu have been awarded an NSF grant to develop a new paradigm for Big Data computing.
Wednesday, May 25, 2016

Marculescu battles bacterial infections

Antimicrobial resistance is a growing problem worldwide, one that Carnegie Mellon University’s Radu Marculescu is working to solve.
Friday, April 01, 2016

CMU joins national network for manufacturing innovation to support research on functional fabrics

The U.S. Department of Defense has tapped Carnegie Mellon University as a partner in a $75 million national research institute that will support American textile manufacturers in bringing sophisticated new materials and textiles to the marketplace.
Tuesday, March 29, 2016

Internet on a chip: researchers step towards energy-efficient multicore chips

In their recent paper, Wireless NoC for VFI-enabled multicore chip design: performance evaluation and design trade-offs, researchers from Carnegie Mellon’s Department of Electrical and Computer Engineering and Washington State University identify a new approach for enabling energy-efficient multicore systems.
Friday, February 19, 2016

Leveraging social media to engineer success

From Facebook to Twitter, Yelp to Mashable—social media channels have a broad and deep impact on society. It’s where people get their news, alerts, gossip, and updates. But what if seamlessly scrolling through a media feed can unknowingly convince the user to choose one behavior over another? Researchers in Carnegie Mellon’s College of Engineering, in collaboration with Google, Inc., are studying problems related to social media, and the data-driven engineering of social dynamics.