Alexandros Gerbessiotis
(Alexandros V Gerbessiotis)
Associate Professor, Computer Science
- alexandros.gerbessiotis@njit.edu
- 973-596-3244
- 4213 Guttenberg Information Technologies Center (GITC)
Education
Ph.D.; Harvard University; Computer Science; 1993
M.S.; Harvard University; Computer Science; 1988
B.S.; National Technical University of Athens; Electrical Engineering; 1987
Website
2026 Fall Courses
CS 700B - MASTER'S PROJECT
CS 725 - INDEPENDENT STUDY I
CS 488 - INDEPENDENT STUDY IN CS
CS 701B - MASTER'S THESIS
CS 792 - PRE-DOCTORAL RESEARCH
CS 790A - DOCT DISSERTATION & RES
CS 489 - COMPUTER SCIENCE RESEARCH PROJ
CS 332 - PRINCIPLES OF OPER SYS
CS 726 - INDEPENDENT STUDY II
Teaching Interests
Design and analysis of sequential and parallel algorithms, High-performance computing, Multi-core, many-core, parallel computing, scientific computing,
and web search
and web search
Past Courses
Research Interests
Multi-core and parallel computing,
Parallel computing and architecture independent parallel algorithm design and implementation,
experimental algorithmics, use of parallel computing techniques in sequential/serial computing,
interprocessor communication network performance assessment, and graph theory.
Parallel computing and architecture independent parallel algorithm design and implementation,
experimental algorithmics, use of parallel computing techniques in sequential/serial computing,
interprocessor communication network performance assessment, and graph theory.
In Progress
Multi-core algorithms for financial applications
Study algorithms for financial applications (eg binomial and trinomial option price valuations) and examine their suitability to multi-cores.
Study algorithms for financial applications (eg binomial and trinomial option price valuations) and examine their suitability to multi-cores.
Multi-core sorting algorithms
Design of sorting algorithms for multicores, impelementation and study of their performance and benchmarking
Design of sorting algorithms for multicores, impelementation and study of their performance and benchmarking
Study Guide
Working Paper
Monograph
Manuscript
Broadcast Media
Book
Software
Journal Article