Carnegie Mellon University

Radu Marculescu

Radu Marculescu

Kavčić-Moura Professor, Electrical and Computer Engineering

Address 5000 Forbes Avenue
Pittsburgh, PA 15213




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



  • Embedded systems
  • Multicore systems
  • On-chip communication
  • Low-power design
  • CPS
  • IoT
  • Processor related areas
  • Antibiotic resistance/quorum sensing disruption
  • Data analytics/network science for bio applications
  • System synthesis using innovative devices
  • Energy and sustainability (river modeling, analysis/control for RoR hydro projects)
  • Computing and sustainability, incl. energy aware computing
  • Power management
  • Big data
  • Biological engineering
  • Cell engineering
  • Computational biology
  • Computer engineering
  • Computer hardware
  • Embedded systems
  • Green design
  • Low-power design
  • Multicore systems
  • Multiscale modeling
  • Sustainable engineering

Related news

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.