Faculty
                   
                  Computational Geometry
                  
                     
                        
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                              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.  
  Office: Math Tower P-134B Phone: 631-632-8363 http://www.ams.sunysb.edu/~estie/estie.html  
                                
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                                Joseph Mitchell
  Chair, 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. His 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.
  Office: Math Tower 1-109 Phone: 631-632-8366 http://www.ams.sunysb.edu/~jsbm/jsbm.html  
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                  Stochastic Optimization
                  
                     
                        
                            Eugene Feinberg
  Professor, Ph.D., 1979 Vilnius University: Operations Research 
                              Eugene Feinberg works in stochastic methods of operations research and their industrial
                                 applications.  He is one of the world leaders in Markov decision processes and its
                                 application to telecommunication, manufacturing, transportation, service and to other
                                 man-made systems. He is one of the country’s experts on optimizing electric energy
                                 transmission and forecasting energy demand. Dr. Feinberg previously held appointments
                                 at Moscow Institute of Transport Engineering (Russia ), Yale University, and MIT. 
                              Office: Math Tower 1-110 Phone: 631-632-7189 http://www.ams.sunysb.edu/~feinberg/  
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                                Jiaqiao Hu
  Associate 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. 
  Office: Math Tower 1-107 Phone: 631-632-8239 http://www.ams.sunysb.edu/~jqhu/  
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                  Sustainable Computing and Networking Systems
                  
                     
                        
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                               Zhenhua Liu  
  Assistant  Professor, Ph.D., 2014 California Institute of Technology:  
  Zhenhua Liu's current research interests include sustainable computing and networking
                                 systems, cloud platforms for big data applications and energy management, and renewable
                                 energy integration. He develops and applies techniques from distributed system, nonlinear
                                 optimization, game theory, and online algorithm for these systems. In particular,
                                 his research combines rigorous analysis and system design, and goes from theory, to
                                 prototype, and eventually to industry to make real impacts.  
  Office: Math Tower 1118 Phone:  631-632-7488 http://www.ams.sunysb.edu/~zhliu/  
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                  Combinatorics
                  
                     
                        
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                               Alan Tucker  
  Distinguished Teaching Professor, Ph.D., 1969 Stanford University: Combinatorics
  Alan Tucker is a Fellow of the American Mathematical Society and of the American Assocation
                                 for the Advancement of Science.  He is editor-in-chief of Applied Mathematical Letters and author of the textbook Applied Combinatorics, now in its 6th edition. Alan started his career at Stony Brook doing research in
                                 graph theory and combinatorial algorithms. Increasingly he  became more engaged in
                                  mathematics education. He directed  large regional and national NSF initiatives to
                                 improve collegiate and K-12 mathematics instruction.  He was the lead author of four
                                 influential reports from the Mathematical Association of America, including  The Mathematical Education of Teachers (2001).  
  Office: Physics A137 Phone: 631-632-8365   http://www.ams.sunysb.edu/~tucker/homepage.html  
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