Estie Arkin, Professor, Ph.D., 1986, Stanford University:  Combinatorial optimization, computational geometry
Estie Arkin's primary research area is the design and analysis of algorithms that arise in network optimization, computational geometry, graph theory, scheduling, robotics, geographic information systems, computer graphics, manufacturing, and computer vision. Arkin is interested in analysis of worst-case complexity and approximation algorithms. 
http://www.ams.sunysb.edu/~estie/estie.html Office: Math Tower 1-106, Phone: 631-632-8363

Joseph Mitchell, Professor, Ph.D., 1986, Stanford University: Computational geometry
Joe Mitchell is one of the country’s leaders in computational geometry, which studies the design, analysis, and implementation of efficient algorithms to solve geometric problems. Hi particular interest is applications to problems in computer graphics, visualization, robotics, manufacturing, geographic information systems, and computer vision.  In the 1990’s, he chaired the National Science Foundation advisory committee in computational geometry.  A major current application is helping air traffic controllers route airplanes around bad weather.
http://www.ams.sunysb.edu/~jsbm/jsbm.html Office: Math Tower 1-109,  Phone: 631-632-8366

Jiaqiao Hu, Assistant Professor, Ph.D., 2006, University of Maryland College Park: Operations Research
Jiaqiao Hu's research is focused on designing and analyzing randomized algorithms for solving Markov decision processes and global optimization problems.  He has been investigating new sampling and simulation-based techniques to overcome the computational difficulties associated with traditional methods, where sampling and simulation techniques are used not only to avoid enumerating the entire solution space but also to resolve the issue of the unavailability of explicit mathematical models of the underlying systems.
http://www.ams.sunysb.edu/~jqhu/ Office: Math Tower 1-107,  Phone: 631-632-8239