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IEEE TCCA CS Young Computer Architect Award

Intel Outstanding Researcher Award

Wilton E. Scott Institute for Energy Innovation Faculty Award

Intel Rising Star Faculty Award

Linux and eBPF Foundation Faculty Award

David J. Kuck Outstanding Ph.D. Thesis Award

ACM SIGARCH & IEEE CS TCCA Outstanding Dissertation Award

Computer Architecture Lab at Carnegie Mellon (CALCM)

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Parallel Data Lab (PDL)

Rethinking computer architecture and operating system abstractions for good & evil

Dimitrios Skarlatos’ research bridges computer architecture and operating systems focusing on performance, security, and scalability. His current work follows two central themes: uncovering security vulnerabilities and building defenses at the boundary between hardware and OS, and re-designing abstractions and interfaces between the two layers to improve performance and scalability.

Skarlatos is leading a groundbreaking project funded by CMU’s Wilton E. Scott Institute for Energy Innovation to redesign AI data center infrastructure. His team aims to improve energy efficiency by a factor of 20, using precise power control tools that don’t require rewriting existing AI software stacks.

Dimitrios Skarlatos earned a Ph.D. in computer science at the University of Illinois at Urbana-Champaign where he worked with Josep TorrellasOpens in new window in the i-acoma group. His alma mater is the Technical University of CreteOpens in new window in Greece, where he studied electronic and computer engineering. During his years in Crete, Skarlatos had the chance to work with Dionisios PnevmatikatosOpens in new window, Apostolos DollasOpens in new window, Ioannis PapaefstathiouOpens in new window, and Polyvios PratikakisOpens in new window.

Data Center Design

Aritficial Intelligence

Systems

Security and Privacy

Computer Architecture

Carnegie Mellon University Profile

CAOS Group

Personal Website

Google Scholar Citations

Power Shift: How CMU Is Leading America’s Energy Evolution

Q&A with Dimitrios Skarlatos, visiting scientist at Facebook and assistant professor at Carnegie Mellon University

Skarlatos' Inspired Research in Computer Architecture and Operating Systems Results in Outstanding Dissertation Award

Secure cloud-based machine learning without sending original data to the cloud

power-shift-how-cmu-is-leading-americas-energy-evolution

In the heart of Pittsburgh, a quiet revolution is underway.

Assistant Professor, Computer Science

Associate Professor and Director of Machine Learning

University Professor

Trustees Professor of Security and Technology Director, Carnegie Mellon Institute for Security and Technology

Professor, Electrical and Computer Engineering

Department Head Professor, Electrical and Computer Engineering

 Carnegie Mellon University, long known for its prowess in computer science and engineering, is now emerging as a key innovator within America’s energy landscape. As AI models grow more powerful, so too does their appetite for energy, straining an aging and outdated grid and prompting urgent questions about infrastructure, security and access. From reimagining AI data centers to modernizing and securing the electric grid, CMU researchers are working on practical solutions to pressing challenges in how the U.S. produces, moves and secures energy.

Learn what CMU experts have to say about their Work That Matters.

 

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