Office of the Provost

Provost's Senior Staff

Valeria Bertacco

Vice Provost for Engaged Learning
Professor of Computer Science and Engineering

Brief Biography
Valeria Bertacco is Arthur F. Thurnau Professor of Electrical Engineering and Computer Science at the University of Michigan, and Adjunct Professor of Computer Engineering at the Addis Ababa Institute of Technology. Her research interests are in the area of computer design, with emphasis on specialized architecture solutions and design viability, in particular reliability, validation, and hardware-security assurance. Her research endeavors are supported by the Applications Driving Architectures (ADA) Research Center, which Valeria directs. The ADA Center, supported by a consortium of semiconductor companies, has the goal of reigniting computing systems design and innovation for the 2030-2040s decades, through specialized heterogeneity, domain-specific language abstractions and new silicon devices that show benefit to applications.

Valeria joined the University of Michigan in 2003. She currently serves as the Vice Provost for Engaged Learning at the University of Michigan, supporting all co-curricular engagements and international partnerships for the institution, and facilitating the work of nine central units, whose goals range from promoting environmental sustainability, to journalism, to the promotion of the arts in research universities.

Research Interests
Valeria’s research interests are centered in the creation of novel solutions that enable the sustainable development of silicon systems, by making them more energy-efficient, performant and significantly cheaper to design and manufacture. Throughout her career she has worked on algorithmic and heuristic solutions to deliver low-cost and effective functional and formal correctness in the design of complex digital systems, reliability from silicon failures, and protection from hardware security attacks. Her solutions span both design-time methodologies and runtime solutions that augment the system with small hardware components monitoring and detecting situations of concern.

Most recently her research focus has been on the design of specialized hardware to accelerate key future applications, ranging from map-reduce applications, to graph-based applications, and to explainable artificial intelligence kernels, with operating frameworks spanning both server and server-edge distributed computation. Her work on hardware security has gained focus in augmenting her solutions with data privacy guarantees.

 

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