Presented by: Dr. Damian Dechev from University of Central Florida
Date: March 9, 2026
Abstract:
Dr. Dechev will present his research on multiprocessor computing, focusing on the design of concurrent algorithms and the fundamental challenges that arise in modern systems. The talk introduces Quantifiability, a correctness condition that enables purely concurrent reasoning and supports the development of high performance, contention resilient data structures. These ideas are connected to practical approaches used in high performance computing and blockchain technologies, as well as to collaborative efforts with Sandia National Labs and Lawrence Livermore National Lab.
Following the technical presentation, Dr. Dechev will outline his vision for advancing graduate education within the College of Engineering. Drawing on experience in NSF program leadership and cross sector partnerships, he will discuss strategies to strengthen interdisciplinary collaboration and expand engagement with industry and national laboratories.
Bio:
Damian Dechev recently completed a rotation as Program Director in the National Science Foundation’s Computing and Communication Foundations Division and is a Professor of Computer Science at the University of Central Florida (UCF). Dr. Dechev specializes in the design of scalable multiprocessor algorithms, programming languages, and high-performance computing. He is the founder of the Algorithmic Research for Essential Asynchronous Computing Lab at UCF, where he advises Ph.D. students and leads projects supported by the NSF, Department of Energy, Sandia National Laboratories, and Lawrence Livermore National Laboratory.
