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Program in Electrical and Computer Engineering


Graduate School
Rutgers, The State University of New Jersey, New Brunswick, Piscataway, New Jersey
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Detailed Information

Programs of Study


The graduate program in electrical and computer engineering, which leads to the M.S. and Ph.D. degrees, has facilities for education and research in communications, computer engineering, control systems, digital signal processing, and solid-state electronics. Computer engineering involves the architecture and design of computing machines, information processing, computer vision, virtual reality, VLSI design and testing, and software engineering. Control systems is concerned with the design, analysis, simulation, and mathematical modeling of systems to ensure that an automatic process, such as that of a robot or spacecraft, meets and maintains certain criteria. Digital signal processing deals with discrete-time information processing, digital filter design, spectral analysis, and special-purpose signal processors. Electrical communications systems analysis and design is concentrated in the areas of wireless communications, ad-hoc networks, network security, source and channel encoding, analog and digital modulation methods, information theory, and telecommunication networks. Solid-state electronics encompasses the areas of silicon carbide devices, semiconductor lasers, electro-optical modulation, solar cells, integrated circuits, characterization of semiconductor materials and devices, and nanotechnology.

Master of Science degree candidates may elect either a thesis or nonthesis option. The thesis option consists of 24 credits of course work, 6 credits of research leading to a master’s thesis, and a final thesis presentation. In the nonthesis option, a candidate must complete 30 credits of course work with a minimum GPA of 3.0 and write a technical paper that must be presented in public as a seminar. Requirements for the M.S. degree may be satisfied for all options in a part-time evening program for students employed in industry and other students whose obligations preclude full-time study.

Admission into the Ph.D. program requires an M.S. in electrical and/or computer engineering. Applicants having an M.S. in a closely related discipline may be admitted into the program provided their preparation has no significant deficiencies. A student is considered to be a Ph.D. candidate after satisfactory completion of the Ph.D. qualifying exam. A Ph.D. candidate, in conjunction with an adviser, is required to select a dissertation committee, submit a plan of study, and orally present a dissertation proposal. Minimum requirements for the Ph.D. degree include 36 credits beyond the baccalaureate in courses approved by the dissertation adviser, 12 credits of either course work or research, and 24 credits of research leading to the Ph.D. dissertation. A public defense serves as the final Ph.D. dissertation exam. There is no foreign language requirement.

Research Facilities


The research centers within the Department include the Wireless Information Networks Laboratory (WINLAB), with a focus on wireless communications technologies, and the Microelectronics Research Laboratory (MERL), a semiconductor device fabrication clean room. Additional research is conducted with various Rutgers research centers established by the New Jersey Commission of Science and Technology, particularly the Center for Advanced Information Processing (CAIP). In addition to the extensive facilities available at these centers, the Department maintains the Digital Communications and Image Transmission Laboratory, Digital Signal Processing Systems Laboratory, Local Area Network Laboratory, Machine Vision Laboratory, Robotics and Sensorics Laboratory, VLSI CAD Laboratory, Laboratory for Engineering Information Systems, and solid-state experimental facilities for crystal growth and preparation, electrical characterization, design and fabrication, optical measurements, structure and composition analysis, and thin-film deposition measurements. For detailed information on these and other facilities available to graduate students, students should contact the Graduate Director or visit the Web site at http://www.ece.rutgers.edu.

Financial Aid


Assistantships and fellowships are available. For 2008–09, a typical assistantship or fellowship academic-year stipend totaled about $21,400 plus tuition. Assistantships also include health benefits and a full tuition waiver. In the award of financial aid, consideration is given to the student’s undergraduate academic record, performance on the GRE, and letters of reference indicating outstanding ability.

Cost of Study


Tuition was $560 per credit for state residents and $844 per credit for out-of-state residents for the academic year 2008–09. Fees, books, and supplies are about $2300 per year.

Living and Housing Costs


Graduate housing is available. Graduate students in the Department of Electrical and Computer Engineering may also reside in nearby off-campus apartments. Various meal plans are available.


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Student Group


The Department has about 220 graduate students.

Location


New Brunswick (population 42,000), is in central New Jersey off Exit 9 of the New Jersey Turnpike and along the New York–Philadelphia railroad line. It is about 33 miles from New York City; frequent express bus service is available from a station near the College Avenue campus to terminals in central Manhattan. Princeton is 16 miles south, Philadelphia about 60 miles south, and Washington, D.C., within 200 miles.

The University


Rutgers, The State University of New Jersey, with more than 50,000 students on three campuses in Camden, Newark, and New Brunswick, is one of the nation’s major public institutions of higher education. With twenty-seven schools and colleges, Rutgers offers over 100 undergraduate majors and more than 100 graduate and professional degree programs. Rutgers has a unique history as a Colonial college, a land-grant institution, and a state university. Chartered in 1766 as Queen’s College, the eighth institution of higher learning to be founded in the colonies before the Revolution, the school opened its doors in New Brunswick in 1771 with one instructor, one sophomore, and a handful of freshmen. In 1825, the name of the college was changed to Rutgers to honor a former trustee and revolutionary war veteran, Colonel Henry Rutgers.

Applying


Admission materials are available online and from the Office of Graduate and Professional Admissions, Rutgers, The State University of New Jersey, 18 Bishop Place, New Brunswick, New Jersey 08901 (732-932-7711). A complete application consists of the application form, letters of recommendation, the application fee, official transcripts of previous academic work, a personal statement or essay, and scores on the GRE General Test. Detailed procedures and instructions accompany the application forms. The online application is available at http://gradstudy.rutgers.edu.

The Faculty and Their Research


  • Grigore Burdea, Professor; Ph.D., NYU. Virtual reality systems and applications, force feedback interfaces, virtual rehabilitation, telerehabilitation.
  • Michael L. Bushnell, Professor; Ph.D., Carnegie Mellon. Computer-aided design of VLSI integrated circuits, silicon compilers, artificial intelligence techniques.
  • Kristin Dana, Associate Professor; Ph.D., Columbia. Computer vision and computer graphics, surface modeling and texture analysis.
  • David G. Daut, Professor; Ph.D., Rensselaer. Communications and information processing: digital communication system design and analysis, image coding and transmission.
  • Zoran R. Gajic, Professor; Ph.D., Michigan State. Singular perturbation methods in control system analysis, linear stochastic estimation.
  • Marco Gruteser, Assistant Professor; Ph.D., Colorado at Boulder. Pervasive computing architectures, location-aware systems, mobile networking, privacy and security, sensor networks.
  • Wei Jiang, Assistant Professor; Ph.D., Texas at Austin. Optoelectronics, photonic crystals, silicone photonics, nanophotonics, nanoimprint, optical interconnects.
  • Yicheng Lu, Professor; Ph.D., Colorado at Boulder. Solid-state materials and devices, wide band gap semiconductors, nanotechnology, multifunctional sensors.
  • Richard Mammone, Professor; Ph.D., CUNY Graduate Center. Image restoration, speech recognition, medical imaging.
  • Narayan B. Mandayam, Professor; Ph.D., Rice. Wireless communications, radio resource management, cognitive radios and protocols for spectrum sharing.
  • Ivan Marsic, Associate Professor; Ph.D., Rutgers. Computer networks, mobile and distributed computing, groupware, user interfaces, software engineering.
  • Sigrid R. McAfee, Associate Professor; Ph.D., Polytechnic of New York. Electrical properties and deep levels in semiconductors, quantum theory of heterostructures, transmission line and waveguide theory.
  • Peter Meer, Professor; D.Sc., Technion (Israel). Computer vision, pattern recognition, applied robust estimation, probabilistic algorithms for machine-vision problems.
  • Sophocles J. Orfanidis, Associate Professor; Ph.D., Yale. Signal estimation and modeling methods, adaptive signal processing and spectrum estimation.
  • Paul Panayotatos, Professor; Eng.Sc.D., Columbia. Organic semiconductor solar cells, optical interconnects, microelectromechanical devices.
  • Manish Parashar, Professor; Ph.D., Syracuse. Parallel and distributed computing, scientific computing, and software engineering.
  • Dario Pompili, Assistant Professor; Ph.D., Georgia Tech. Ad hoc and sensor networks, underwater acoustic communications, traffic engineering and overlay networks, network optimization and control.
  • Lawrence Rabiner, Professor; Ph.D., MIT. Digital signal and speech processing, communications, networking.
  • Dipankar Raychauhuri, Professor and Director, WINLAB; Ph.D., SUNY at Stony Brook. Network architecture and protocols, wireless communications, pervasive computing, experimental system prototyping.
  • Christopher Rose, Professor; Ph.D., MIT. Wireless communications theory and systems, opportunistic communications, spectrum sharing, interstellar communication and communications as a fundamental physical property.
  • Peddapullaiah Sannuti, Professor; Ph.D., Illinois at Urbana-Champaign. Internal and external stabilization of linear systems with constraints.
  • Kuang Sheng, Assistant Professor; Ph.D., Heriot-Watt (Scotland). Solid-state power ICs, electronics, novel devices, SOI technology.
  • Deborah Silver, Professor; Ph.D., Princeton. Scientific visualization, volume graphics, medical visualization, information visualization, and multimedia systems.
  • Pedrag Spasojevic, Associate Professor; Ph.D., Texas A&M. Wireless and wired digital communications, adaptive and statistical signal processing.
  • Moncef B. Tayahi, Assistant Professor; Ph.D., Connecticut. Carbon, graphite, and diamond nanostructured power electronic devices; sensors and wireless sensor networks.
  • Wade Trappe, Associate Professor; Ph.D., Maryland, College Park. Multimedia and multicast information security, signal, image, and video processing.
  • Joseph Wilder, Research Professor; Ph.D., Pennsylvania. Image processing, pattern recognition, machine vision.
  • Roy Yates, Professor; Ph.D., MIT. Routing and flow control for integrated broadband networks, reversible queuing systems, wireless cellular communication systems.
  • Yanyong Zhang, Assistant Professor; Ph.D., Penn State. Operating systems, parallel and distributed systems, networking.
  • Jian Zhao, Professor; Ph.D., Carnegie Mellon. Wide bandgap (SiC, GaN) semiconductor power electronic and photonic devices, smart power ICs, high-temperature packaging.

Correspondence and Information


Rutgers University
Graduate Director
Department of Electrical and Computer Engineering
94 Brett Road
Piscataway, New Jersey 08854-8058
Telephone: 732-445-2578
Email: ece_grad@ece.rutgers.edu



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