Radu Marculescu, professor in the Chandra Family Department of Electrical and Computer Engineering, has been named a recipient of an Amazon Research Award. Amazon Research Awards (ARA) provides unrestricted funds and AWS Promotional Credits to academic researchers investigating various research topics in multiple disciplines. Amazon awarded 63 research awards to researchers representing 41 universities in 8 different countries.
The awards recognize proposals for the quality of their scientific content and their potential to impact both the research community and society.
Marculescu's proposal, "Collaborative Continual Learning in Multimodal Multi-Agent Systems," received an award in the area of Agentic AI. This is the second Amazon Research Award received by Marculescu. He also received one in 2020 for his work on "New directions for 3D object detection: distributed inference on edge devices using knowledge distillation."
Radu Marculescu is a professor and the Laura Jennings Turner Chair in Engineering in the Chandra Family Department of Electrical and Computer Engineering at The University of Texas at Austin. Between 2000-2019, he was a Professor in the Electrical and Computer Engineering department at Carnegie Mellon University.
Radu has received the 2019 IEEE Computer Society Edward J. McCluskey Technical Achievement Award, for seminal contributions to the science of network on chip design, analysis, and optimization. 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 is a Fellow of IEEE cited for his contributions to the design and optimization of on-chip communication for embedded multicore systems. He was named a Fellow of the Association of Computing Machinery (ACM) in 2022 for "contributions to low-power and communication-based design of embedded systems."
