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Peluso receives William C. Carter PhD Dissertation Award in Dependability | ECE | Virginia Tech

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Peluso receives William C. Carter PhD Dissertation Award in Dependability

Photograph of Sebastiano Peluso
Sebastiano Peluso

Sebastiano Peluso, an ECE postdoctoral research associate, was awarded the William C. Carter Ph.D. Dissertation Award in Dependability for his dissertation entitled "Efficient Protocols for Replicated Transactional Systems."

Peluso, who works in the Systems Software Research Group led by ECE Professor Binoy Ravindran, studies distributed systems, fault-tolerant computing, and concurrency. His dissertation centered on a key problem in computer engineering: how to make transactional systems-the core of a number of computer system components like databases, cloud data stores, and transactional memory-both fault tolerant and efficient.

"His thesis proposes groundbreaking solutions for the problem of replicated transactional systems," said Ravindran, who wrote a letter in support of Peluso's nomination. "In particular, it presents solutions that enable transactions to achieve high performance and scalability without significantly compromising application correctness."

The William C. Carter Award has been presented annually since 1997 to recognize an individual who has made a significant contribution to the field of dependable computing through his or her graduate dissertation research. The award honors the late William C. Carter, a key figure in the formation and development of the field of dependable computing.

Peluso completed a joint-PhD program in Computer Engineering between Sapienza University (Rome, Italy) and Instituto Superior Tecnico de Lisboa (Lisbon, Portugal). He defended his thesis on September 26, 2014.

Peluso came to Virginia Tech as a research associate nine months before his Ph.D. defense, and he wrote the last several chapters of his dissertation in Durham Hall.

"In the years to come, I expect to hear both fundamental and breakthrough results from Peluso's work, especially on the hardest problems in fault-tolerant, distributed, and concurrent computing," said Ravindran.