Alexandros Gerbessiotis

Alexandros Gerbessiotis is an Associate Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT), part of the College of Computing Sciences. His research focuses on parallel computing, algorithms, sorting techniques, and computational models like the BSP (Bulk-Synchronous Parallel) model. He holds a Ph.D. and M.S. in Computer Science from Harvard University (1993 and 1988) and a B.S. in Electrical Engineering from the National Technical University of Athens (1987).

His work emphasizes practical and theoretical advancements in parallel algorithms, including applications in finance (e.g., option pricing) and distributed systems. Key contributions include extensions to the BSP model for multi-core systems, randomized sorting algorithms, and experimental studies on parallel sorting efficiency. He teaches courses such as Data Structures and Algorithms (CS 610) and Principles of Operating Systems (CS 332).

While no awards or grants are explicitly listed, his extensive publication record reflects sustained engagement with computational challenges in parallelism and algorithm design. His research trends focus on bridging theoretical models with real-world performance optimization, particularly in multi-core and distributed environments.