UMBC's mission is to focus on science, technology, engineering and public policy. The suburban campus of 10,400 students is located in the Baltimore-Washington corridor, providing easy access to both metropolitan areas and the numerous federal agencies, industrial research centers, and consulting firms. A on-campus technology center houses a number of technology startup forms. UMBC's funding of grants, awards and sponsored research exceeds $50M per year. Information Technology is one of UMBC's focal areas with more than 30% of its students majoring in either computer science, computer engineering, electrical engineering, information systems or imaging and digital arts. UMBC currently produces more information technology graduates than any other research university or college in the United States and has a number of new initiatives in the IT area, such as the Center for Women and Information Technology and the Institute for Global Electronic Commerce.

Our location , in the middle of the Baltimore-Washington corridor, places us in the midst of an exciting set of cultural, business and governmental resources. We enjoy a suburban campus which is fifteen minutes from downtown Baltimore, 45 minutes from the capital mall, within an hour's drive to DARPA, NSF, NIST, NASA, NIH, NSA, and many other research funding agencies, ten minutes from the BWI airport and surrounded by businesses like Lockheed Martin, Computer Sciences Corporation, Northrup Grummond, Hughes, and IBM.

Degree programs leading to a BS, MS and PhD in Computer Science, a BS in Computer Engineering, and an MS and PhD in Electrical Engineering are offered by CSEE. The B.S. programs provide a balanced practical and theoretical approach to the study of software and hardware, an approach which includes the latest advances in these two areas. These programs emphasize the development of problem solving skills applied to the analysis and design of real world problems. Students in these programs are also given a broad background in the fundamentals of mathematics and the physical sciences. The Department offers separate graduate degree programs in Computer Science and Electrical Engineering. Each of these degree programs shares a similar structure and set of miniumum requirements, and leads to the M.S. (with or without a thesis), or Ph.D. degree. Admission to each program is separate. Some fields of specialization within the degree requirements may have additional degree requirements beyond the minimum requirements. A new interdisciplinary program in electronic commerce is under development. Academic ties are strong with other Departments and programs including Information Systems, the Institute for Global Electronic Commerce, Geography, Mathematics, Mechanical Engineering, Physics, Radiology (UMAB) and Visual Arts.

Research facilities are excellent. The department is housed in a building devoted to engineering and computer science and maintains an extensive research computing facility that includes a large network of more than 80 UNIX workstations (SGI, Sun, linix, ...), several large computer servers, and numerous other machines. The department is part of the University of Maryland Institute of Advanced Computer Science and has access to its research facilities, including a SP-2 and CM-5. The University is a member of the San Diego Supercomputing Center Consortium through which it has access to a number of large supercomputers. The University's computing system for instructional and research use consists of UNIX-based and VAX/VMS systems and include two 20-processor SGI Challenge-XL systems, numerous SGI Crimsons, seventy-three Indigo graphic workstations, a new VAX 4000 model 500 and a Cray YMP-EL. UMBC is a member of the Internet II network and enjoys multiple high-bandwidth connections to the internet.

Departmental laboratories are well-equipped and support the research activities of faculty and students. They include a CAIBE facility; Laboratory of Computational Photonics; a MOCVD lab; the DIODE Laser Lab; the Computer Graphics, Animation, and Visualization Lab; the Security Technology Research Group; the Maryland Center For Telecommunications Research (MCTR); the Communications and Signal Processing Lab; the Information Technology Lab; the Parallel Processing Lab; the Remote Sensing, Signal, and Image Processing Lab; the Laboratory for Information Systems Technology; and the Laboratory for Advanced Information Technology and the Distributed Adaptive Discovery and Computation Lab.

For More Information

• Computer Science and Electrical Engineering
  University of Maryland Baltimore County
  1000 Hilltop Circle, Baltimore MD 21250 USA
  410-455-3500, Fax: 410-455-3969, dept@csee.umbc.edu
  
• John Pinkston, Chair 410-455-3788, pinkston@csee.umbc.edu
  
• Charles Nicholas, CS Graduate Director, 410-455-2594, nicholas@csee.umbc.edu
• Yung J. (Ray) Chen, EE Graduate Director, 410-455-1433, ychen@csee.umbc.edu
• Sam Lomonaco, Undergraduate Director, lomonaco@csee.umbc.edu

Tulay Adali, Assoc. Professor; PhD, North Carolina State. Adaptive signal processing, neural computation, estimation theory, and their applications in channel equalization, biomedical image analysis, optical communications, and time-series prediction.

Gary M. Carter, Professor; PhD, MIT. Optoelectronics, diode lasers, nonlinear optics, coherent optical communications.

Chein-I Chang, Professor; PhD, Maryland College Park. Information theory and coding, signal detection and estimation, image processing, medical imaging, remote sensing, neural networks.

Richard Chang, Assoc. Professor; PhD, Cornell. Computational complexity theory, structural complexity, analysis of algorithms.

Yung-Jui Chen, Professor; PhD, Pennsylvania. Integrated optics and optoelectronics, optical and electronic properties of materials, ultra-short optical pulse spectroscopy.

Fow-Sen Choa, Professor; PhD, SUNY Buffalo. Semiconductor lasers, optoelectronic integrated circuits.

Marie desJardins. Asst. Professor; PhD UC Berkeley; Machine learning, intelligent planning and scheduling, multiagent systems, artificial intelligence, adaptive tutoring.

Tim Finin, Professor; PhD, Illinois Urbana-Champaign; Artificial intelligence, knowledge representation and reasoning, knowledge and database systems, natural language processing, intelligent agents.

Anupam Joshi, Assoc. Professor; PhD, Purdue. Networked/Distributed and Mobile Computing, Data/Web Mining, Multimedia Databases, Computational Intelligence and MultiAgent Systems, Scientific Computing.

Kostas Kalpakis, Assoc. Professor; PhD, Maryland. Digital libraries, electronic commerce, databases, multimedia, parallel and distributed computing, and combinatorial optimization.

Hilol Kargupta. Asst. Professor; PhD Illinois Urbana-Champaign; Distributed and ubiquitous data mining, gene expression, genetic algorithms and evolutionary systems, intelligent agent based software systems, artificial intelligence, biological models of computation, optimization.

Samuel Lomonaco, Professor; PhD, Princeton. Quantum computation, algebraic coding theory, cryptography, numerical and symbolic computation, analysis of algorithms, applications of topology to physics, knot theory & 3-manifolds, algebraic & differential topology, differential geometry.

Curtis R. Menyuk, Professor; PhD, UCLA. Light propagation, optical fibers, nonlinear phenomena.

Joel M. Morris, Professor; PhD, Johns Hopkins. Communications and signal processing, signal detection and estimation, information theory, joint time-frequency/time-scale representations and analysis techniques.

Padma Mundur, Asst. Professor; PhD: George Mason University. Distributed multimedia systems, analytical resource allocation and performance modeling.

Charles Nicholas, Professor; PhD, Ohio State. Electronic document processing, software engineering, and intelligent information systems.

Tim Oates, Asst. Professor; PhD, UMass. Artificial intelligence, machine learning, robotics, and natural language processing.

Yun Peng, Assoc. Professor; PhD, Maryland College Park. Artificial intelligence, neural network computing, and medical applications.

Dhananjay Phatak Assoc. Professor; PhD, Univ of Massachusetts, Amherst, Mobile Computing and Networks, Computer Arithmetic Algoritms and VLSI Realizations, Neural Networks Theory, Implementations and Applications.

John Pinkston, Professor and Chair; PhD, M.I.T.; Coding Theory, Information Security, Electronic Commerce, and Antennas.

James Plusquellic, Asst. Professor; PhD, Pittsburgh. VLSI device testing, optoelectronic integrated circuits.

Penny Rheingans, Asst. Professor; PhD, North Carolina, Chapel Hill. Visualization of data with potential uncertainty, multivariate visualization, dynamic interaction, computer graphics and animation, and the application of perceptual principles to computer graphics and visualization.

Janet Rutledge, Adjunct Assoc. Professor; PhD, Georgia Tech; modeling and compensating for the effects of sensorineural hearing loss and other communication
disorders.

Alan T. Sherman, Assoc. Professor; PhD, MIT. Discrete algorithms, cryptology, VLSI layout algorithms.

Deepinder Sidhu, Professor; PhD, SUNY Stony Brook. Computer networks, distributed systems, distributed and heterogeneous databases, parallel and distributed algorithms, computer and communication security, distributed artificial intelligence, high-performance computing.

Brooke Stephens, Assoc. Professor; PhD, Maryland College Park. Numerical analysis, combinatorics, resource allocation, optimization.

Andrew Veronis, Professor (Visiting), PhD, Manchester. Computer architecture, microprocessors, digital and logic design, parallel processing, digital signal processing.

Li Yan, Assoc. Professor; PhD, Maryland College Park. Quantum electronics, ultrashort pulse formation, ultrafast nonlinear optics, general aspects of laser physics.

Yaacov Yesha, Professor; PhD, Weizmann (Israel). Parallel computing, computational complexity, algorithms, source coding, speech and image compression.

Yelena Yesha, Professor; PhD, Ohio State. Distributed systems, database systems, digital libraries, electronic commerce, performance modeling, efficient and highly fault tolerant mutual exclusion algorithms, and analytical performance models for distributed and parallel systems.

Mohamed Younis, Asst. Professor; PhD, NJIT. Real-time Systems, Fault tolerant computing, Compiler-based analysis, Operating Systems, Embedded Systems.