Doctoral Program
Department of Computer and Information Science
Brooklyn College

Last update: July 16 2009 09:35:11.

*** Disclaimer: This page is always under construction!
*** Comments and questions will be appreciated. Please send them to: amotz at sci dot brooklyn dot cuny dot edu.

The Doctoral Program in Computer Science of the City University of New York is a consortial program among the senior colleges of the University. Brooklyn College is a leading member of this consortium, which is directed by the Graduate Center of the University. The overwhelming majority of the faculty of the Doctoral Program are appointed at individual colleges of the consortium, such as Brooklyn, and they teach and conduct research both at the Graduate Center and at their home college. Students of the program also can teach or do research at either Brooklyn College or the Graduate Center. The cross-fertilization among the computer science departments of the various colleges of the University is an important strength of the program, and provides students with a broad array of choices in their doctoral education. The depth and breadth of computer science areas covered both by the University and by Brooklyn College match those of the finest departments of computer science in the nation.

 

Department of Computer and Information Science
Chair: Prof. Aaron Tenenbaum
Email: tbaum At sci Dot brooklyn Dot cuny Dot edu		 Brooklyn College
PhD Program in Computer Science
Executive Officer: Prof. Ted Brown
Email: tbrown At gc Dot cuny Dot edu		 Apply for admission
The Graduate Center

 

Faculty Research Interest Projects Students
Amotz Bar-Noy Design, Analysis, and Evaluation of Algorithms; Theoretical Aspects of Communication Networks
  • Energy saving - an algorithmic approach
  • Finding "mobile" data
  • ITA: International Technology Alliance in Network and Information Science
  • Yosef Alayev
  • Ali Assarpour
  • Yi Feng
  • Matthew P. Johnson
  • Michael Lampis
  • Doug Moody
  • Simon Shamoun
  • Andres Varon
    		•
    Scott Dexter Philosophy of Software; Technology and Society; Free and Open Source Software  
  • Emir Ganic
    		•
    Keith Harrow databases; theoretical computer science; computer science education
    Danny Kopec AI: Intelligent Tutoring Systems; Software Engineering, Medical Errors, Programmer Errors; Computer Science Education  
  • Erdal Kose
  • Edgar Troudt
    		•
    Rohit Parikh Reasoning about Knowledge; Belief Revision; Game Theory; Philosophy of Language; Social Software; Voting Theory
  • Knowledge, Games and Belief Group
  • Can Baskent
  • Loes Olde Loohuis
  • Farishta Satari
    • Simon Parsons Communication and Coordination of Intelligent Systems; Rational Decision Making within Intelligent Systems; Learning and Adaptation in Intelligent Agents
  • mechDesign tools and techniques for automated mechanism design
  • metroBots sony aibo robots as embodied, intelligent multiagent systems, and part of the RoboCup 4-Legged League
  • ITA: International Technology Alliance in Network and Information Science
  • Argumentation-based dialogues between agents
  • Robust auction mechanisms
  • Qualitative probabilistic models
  • Robotics
  • Datamining
  • Yuqing Tang
  • Jinzhong Niu
  • Kai Cai
  • Todd Flyr
  • Joel Kammet
  • Marek Marcinkiewicz
  • Alex Sverdlov
  • Suzanne Tamang
    		•
    Theodore Raphan Modeling Neural Mechanisms of Spatial Orientation and Adaptation; Modeling Mechanisms of Locomotion; Development of Real time Systems for Computerized Neurological Assessment and Diagnosis; Digital Signal Processing; Image Processing; The Use of Wavelet Analysis for Texture Determination and Discrimination; Multimedia Systems
  • Basic Mechanisms of Bipedal Locomotion
  • Model-Based Analysis of Unilateral Vestibular Disease Effects on Locomotion
  • Multidimensional Dynamics of the Vestibulo-ocular Reflex
  • Sensory-Based and Motor Learning in the Central Nervous System
  • Fundamental Mechanisms of Motion Sickness
  • Gaze Stabilization Mechanisms During Quadrupedal Locomotion
  • Sensory-Based Robotics
  • Science-Based Computer Science Education
  • Marek Marcinkiewicz
  • Matt Meyer
    		•
    Ira Rudowsky Biomedical Database Systems; Intelligent Agents; Reinforcement Learning; XML Databases/Semantic Web; Management Information Systems; Innovation and Information Technology
  • Building Bridges: preparation, recruitment, and retention of CIS majors by building community and providing support both in the CIS department and in the community
  • CPATH: multi-university collaboration to transform undergraduate computing education on a national scale. Developing a "Brooklyn College" version of the "threads" program that has been successfully implemented at Georgia Tech University
  • Matt Meyer
    		•
    Elizabeth Sklar Interactive Learning Systems; Educational Robotic; Multiagent Simulation of Learning Environments
  • simEd viewing the educational system as a multi agent simulation
  • metroBots sony aibo robots as embodied, intelligent multiagent systems, and part of the RoboCup 4-Legged League
  • CEL the Community of Evolving Learners
  • RoboCupJunior international educational robotics initiative for learning about and sharing technology
  • Bridges bridging the gap from high school to college by working to better inform students about and prepare them for careers in computing fields
  • Cpath (under constuction) creating new curricular paths in computing with an aim towards Threads at BC
  • Educational Robotics in Brooklyn exploring the use of a range of robotics platforms for teaching introductory computing
  • M. Q. Sumon Azhar
  • Sadat Chowdury
  • Artyom Diky
  • Ilknur Icke
  • A. Tuna Ozgelen
    		•
    Dina Sokol Algorithms Design and Analysis; Pattern Matching; Computational Biology; Data Compression
  • Approximate Tandem Repeats Database
  • Shoshana Neuburger
  • Justin Tojeira
    		•
    Paula Whitlock Monte Carlo Methods; Parallel Pseudorandom Number Generation; Simulation of Physical Systems    
    Noson Yanofsky Category Theory; Information Theory; Quantum Computing
  • Formulating a theory of Kolmogorov complexity and Entropy for mathematical and computer science structures
    		•  
    Stathis Zachos Computational Complexity; Algorithms; Approximation and Randomization; Cryptography; Interactive Proof Systems; Logic in Computer Science; Graph Theory; Network Algorithms; Quantum Computations
  • Graph coloring
  • Games on the Internet
  • Conflict-free coloring
  • Randomized and Approximation Algorithms for Blue-Red Matching
  • Maximizing the guarded boundary of an Art Gallery is APX-complete
  • Antonios Achilleos
  • Wen-Ju Cheng
  • Ou Liu
  • Vasiliki Mitsou
  • Konstantinos Nikolopoulos
  • Kai-Tai Sung
    		•
    Neng-Fa Zhou Programming languages, especially constraint and logic programming languages; Compilers for high-level languages; Probabilistic learning from large amounts of data (PRISM); Agent-based interactive systems; Optimization and problem solving; Graphics programming and graphical user interfaces    

    Last update: July 16 2009 09:35:11.