The Department of Electrical
& Computer Engineering

Graduate Studies in Electrical & Computer Engineering
Doctoral Programs
Master of Science Programs
Concentration Area
Concentration Areas in Electrical Engineering
Concentration Areas in Computer Engineering
Concentration Areas in Photonics
Admission Requirements
Research Interests of the Faculty

Department Chair Franco Cerrina

Associate Chair for Graduate Studies Thomas D. C. Little

Department Director Wayne Rennie

Graduate Studies in Electrical & Computer Engineering

Graduate Programs within the Department of Electrical & Computer Engineering develop students’ understanding of the scientific and mathematical basis of critical technologies and prepare them for the application of sophisticated analysis and design methods to solve a broad range of problems. With more than 43 full-time and 14 affiliated faculty members and state-of-the-art facilities, the ECE department offers a solid course curriculum and a rich selection of research opportunities. Our MS and PhD graduates enjoy successful careers in industry and academia often working at the forefront of the technology as well as interdisciplinary fields.

Research activities in the ECE department are broadly classified into three main areas: (i) Electro-Physics, (ii) Information Systems and Sciences, and (iii) Computer Engineering. Each area has distinct, faculty-centered groups. The boundaries between these groups are not sharp, and interaction and cross-fertilization are encouraged and common. Graduate students have the opportunity to conduct research in any of these groups under the guidance of ECE faculty, through access to University-wide centers and cross-disciplinary collaborations. The description of laboratories are located in the Specialized Facilities for Instruction and Research section of this site. Research in ECE has a strong funding base from governmental agencies, foundations, and corporate sponsors. More information is available at www.bu.edu/ece.

Electro-Physics Solid-state materials and devices, photonics, electromagnetics, and space science and technology are the concentrations in the Electro-Physics area. Each explores the interaction of electrical energy and matter, leading to improved physical understanding, and applies this knowledge to novel devices and systems that are critical to cutting-edge technology. Students in Electro-Physics often work in the Photonics Center, the Center for Subsurface Sensing & Imaging Systems, the Center for Space Physics, or the Center for Integrated Space Weather Modeling. They also might be involved in the Center for Nanoscience & Nanobiotechnology or use the supercomputer tools of the Center for Computational Science.

Study in solid-state materials and devices addresses the modeling of new electrical, optical, or magnetic structures, the fabrication of such devices, and detailed characterization of their properties and performance. Ongoing projects consider MBE of blue sources, high-speed and RF electronics, ultra-fast optical detectors, and arrays of micromagnetic structures.

In photonics, which includes the MS in Photonics program, groups are looking at a range of topics, including biophotonics for detection, diagnosis and therapy, femto-second and nano-meter optical characterizations, quantum and high-speed optics, optical cryptography, fabrication of sources and detectors, and fiber sensors and systems. Wireless optical communications and opto-electronic devices overlap with ISS and solid-state efforts.

The electromagnetics area has groups working on theoretical models of wave phenomena, methods for computational electromagnetics, applied electrostatics, atmospheric plasmas and space weather, space instrumentation, and micromagnetic sensors and storage modeling.

The space science and technology area has groups working on radar remote sensing of the ionosphere and atmosphere; ionospheric theory, modeling, and simulation; space instrumentation; optical remote sensing of planetary atmospheres; and related topics.

Information Systems and Sciences Activities in the ISS area center on the processing of signal information and its use in a variety of system contexts. There are four primary sub-areas of concentration within ISS: signal and image processing; multimedia processing; communications and networking; and information and decision systems.

The field of Signal and Image Processing encompasses the development and implementation of algorithms and methods to analyze and extract information from signals obtained from observing natural and human-generated phenomena, including biological and biomedical signals.

Research in the area of Multimedia Processing concentrates on issues related to the modeling of multimedia signals (still images, image sequences, video, music, speech, etc.) as well as their processing in order to facilitate information extraction, compression and transmission in computer networks. The area of Information and Decision Systems spans a variety of topics, including robust signal processing that deals with developing statistical modeling and processing techniques for limited informational contexts (cases where “data/information available is insufficient relative to the complexity of the process or system”), distributed and networked signal processing to deal with noisy distributed information from multiple sources that must be fused under communication constraints, as well as control and decision theory.

Research in the area of Communications and Networking concentrates around several topics, including digital communications theory and applications, wireless infrared and broadband communications, sensor networks, wireless networks, multiuser scheduling, multi-antenna systems, scalability, heterogeneity, and performance of networks.

Computer Engineering There are three research areas in computer and systems engineering: computer networking and distributed systems; computer engineering; and software engineering and applications. Each area has several research projects and many faculty span areas. Also, research projects vary from mathematical and physical foundations to prototyping experimental systems.

Research in communication and computer networking involves fundamental principles and applications of point-to-point communications and communication networking. Broad areas of interest are information theory; error correcting codes; analysis, design, and control of networks; and wireless communication systems and networking theory. Specific research projects include: data synchronization especially for PDAs and mobile networks, Internet traffic engineering, sensor-based location detection, scaling mobile ad hoc networks, wireless infrared communications, fault-tolerant routing, design of reliable networks, embedded sensor network application development, switch design, and ecological applications.

Research in computer engineering involves design, evaluation, and tools for computers, computer-based systems, and computer-based-system applications. Classical areas of computer engineering are computer architecture, electronic design automation, embedded systems and applications, and design and test of computers and computer systems. Specific research projects include: quantum computing, design automation of asynchronous circuits, FPGA-based computation, fine-grained modeling of physics-like systems, VLSI design using analog and digital techniques in CMOS, fault-tolerant computing and circuits, and secure cryptographic devices.

Research in software engineering and applications involves methodologies, tools and techniques used to construct, deploy, support, and evolve software. Issues considered by faculty include quality, performance, development time, and target environment. Specific projects include: embedded software application development, environments for developing high-performance applications, implementation and testing of distributed software systems, and personal knowledge engineering.

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Doctoral Programs

Programs of study leading to the PhD in electrical engineering and computer engineering are available. Completion of the PhD establishes a student’s ability to conduct independent basic or applied research, and prepares him or her for a career in academia, industry, or government. Students pursue theoretical and empirical studies in a topic area determined by their interests, faculty research areas, and departmental research facilities. External collaborations with industry and government laboratories are encouraged. Information regarding admissions, degree requirements, and financial aid may be found in the “Graduate Programs” section of this site.

Doctoral program candidates should contact faculty members in the department to discuss their research plans (for contact information, e-mail ecegrad@bu.edu or visit www.bu.edu/ece). Students admitted to the PhD program must first complete the department’s MS degree requirements.

Electrical & Computer Engineering In addition to fulfilling the MS degree program requirements, all PhD students must enroll for an additional 32 units (8 courses) at the graduate level (500 level or above). Post-master’s PhD students are required to complete 32 graduate units (8 courses) beyond their MS work. In addition to an oral prospectus defense and final dissertation defense, students must pass a written comprehensive examination covering basic knowledge in electrical and computer engineering and fulfill the department’s mathematics requirement.

All PhD students are required to fulfill their math requirement no later than the end of their fourth academic semester. The guidelines are as follows.

For post-BS students: complete with a grade of B+ or better one of the following:

EE or CE: EK 501; EE: EC 501, EC 505, EC 515, EC 516, EC 574; CE: EC 504, EC 533, EC 534, EC 541, EC 561

For post-MS students: post-BS requirement or submit evidence of successful completion of B+ or better of equivalent course as determined by the ECE Graduate Committee.

Master of Science Programs

Programs of study leading to the MS in electrical engineering, computer engineering, or photonics may be pursued. The degree programs have a common structure that includes requirements for concentration, breadth, advanced coursework, and a thesis or project. The degrees are differentiated by the concentration area chosen (see below). There is a great deal of flexibility in the program, and each student is expected to work with his or her faculty advisor to design a specific program of study that meets his or her professional needs.

The study program must satisfy both the general graduate requirements of the College of Engineering as well as additional requirements of the Department of Electrical & Computer Engineering. A 3.0 (B) average must be maintained to graduate and grades of C– or lower are unacceptable for credit. All programs in the department require 32 credit hours of study. Up to 8 credits may be transferred from other approved graduate schools.

Master of Science in Electrical Engineering (MSEE), Computer Engineering (MSCE), and Photonics (MSP) Master’s degree programs in the Department of Electrical & Computer Engineering require a minimum of 32 credit hours of graduate study (500 level and above) in ENG or CAS AS, BI, CH, CN, CS, MA, or PY courses. Thesis students are required to take at least 20 credits of structured coursework (500 or 700 level courses) while non-thesis students are required to take at least 24 credits of structured coursework. All credits towards the MS degree should be 500 level or higher. All coursework is subject to the following requirements:

Concentration Area

Each student must take at least 16 units (four courses) in one of the ten ECE concentration areas listed below. Up to 8 units of 900-level EC courses (thesis, project, research or directed study) may be used to satisfy the concentration area requirement. The three degree programs are distinguished by the concentration area chosen as indicated below.

Concentration Areas in Electrical Engineering

Signal Processing and Communications

ENG EC 505 Stochastic Processes

ENG EC 515 Digital Communication

ENG EC 516 Digital Signal Processing

ENG EC 517 Introduction to Information Theory

ENG EC 520 Digital Image Processing and Communication

ENG EC 702 Recursive Estimation and Optimal Filtering

ENG EC 715 Wireless Communications

ENG EC 716 Advanced Digital Signal Processing

ENG EC 717 Image Reconstruction and Restoration

ENG EC 719 Statistical Pattern Recognition

ENG EC 720 Digital Video Processing

Systems and Control

ENG EC 501/ State Space Control
ME 501

ENG EC 505 Stochastic Processes

ENG EC 517 Introduction to Information Theory

ENG EC 524/ Optimization Theory and Methods
ME 524

ENG EC 701/ Optimal and Robust Control
ME 764

ENG EC 702 Recursive Estimation and Optimal Filtering

ENG EC 710/ Dynamic Programming and
ME 710 Stochastic Control

ENG EC 724/ Advanced Optimization Theory
ME 724 and Methods

ENG ME/ Vision, Robotics, and Planning
SE 740

ENG ME/ Communication Networks Control
SE 755

ENG ME/ Non-Linear Control of Mechanical
SE 762 Systems

Solid-State Circuits, Devices, and Materials

ENG EC 571 VLSI Principles and Applications

ENG EC 574 Solid State Devices

ENG EC 575 Semiconductor Devices

ENG EC 578 Fabrication Technology for Integrated Circuits

ENG EC 579/ Microelectronic Device Manufacturing
ME 579

ENG EC 580 Modern Active Circuit Design

ENG EC 582 RF/Analog IC Design Fundamentals

ENG EC 770 Guided-Wave Optoelectronics

ENG EC 771 Physics of Compound Semiconductor Devices

ENG EC 772 VLSI Graduate Design Project

ENG EC 774 Semiconductor Quantum Structures and Photonic Devices

ENG EC 775 VLSI Devices and Device Models

ENG EC 777 Nano-Optics

ENG EC 782 RF/Analog IC Design

Electromagnetics and Photonics

ENG EC 560 Introduction to Photonics

ENG EC 563 Fiber Optic Communication Systems

ENG EC 566 The Atmosphere and Space Environment

ENG EC 567/ Electromagnetic Wave Computation
ME 567

ENG EC 568 Optical Fiber Sensors

ENG EC 569 Introduction to Subsurface Imaging

ENG EC 570 Lasers

ENG EC 591 Photonics Laboratory I

ENG EC 707 Radar Remote Sensing

ENG EC 731 Applied Plasma Physics

ENG EC 760 Advanced Topics in Photonics

ENG EC 762 Quantum Optics

ENG EC 763 Nonlinear and Ultrafast Optics

ENG EC 764 Optical Measurement

ENG EC 765/ Biomedical Optics and Biophotonics
BE 765

ENG EC 770 Guided-Wave Optoelectronics

ENG EC 773/ Advanced Optical Microscopy and
BE 773 Biological Imaging

ENG EC 777 Nano-Optics

Bioelectrical–must take at least 2 of the EC courses and at least 2 of the BE courses listed below.

ENG EC 505 Stochastic Processes

ENG EC 516 Digital Signal Processing

ENG EC 520 Digital Image Processing and Communication

ENG EC 571 VLSI Principles and Applications

ENG EC 580 Modern Active Circuit Design

ENG EC 582 RF/Analog IC Design Fundamentals

ENG EC 716 Advanced Digital Signal Pressing

ENG EC 717 Image Reconstruction and Restoration

ENG EC 720 Digital Video Processing

ENG EC 740/ Parameter Estimation and System
BE 740 Identification

ENG EC 765/ Biomedical Optics and Biophotonics
BE 765

ENG EC 772 VLSI Graduate Design Project

ENG EC 782 RF/Analog IC Design

ENG BE 511 Biomedical Instrumentation

ENG BE 512 Biomedical Instrument Design

ENG BE 515 Introduction to Medical Imaging

ENG BE 516 Applied Medical Imaging

ENG BE 540 Bioelectric Signals: Analysis and Interpretation

ENG BE 747 Advanced Signals and Systems Analysis for Biomedical Engineering

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Concentration Areas in Computer Engineering

Hardware/Architecture

ENG EC 513 Computer Architecture

ENG EC 535 Introduction to Embedded Systems

ENG EC 551 Advanced Digital Design with Verilog and FPGA

ENG EC 561 Error-Control Codes

ENG EC 571 VLSI Principles and Applications

ENG EC 580 Modern Active Circuit Design

ENG EC 582 RF/Analog IC Design Fundamentals

ENG EC 713 Parallel Computer Architecture

ENG EC 749 Interconnection Networks for Multicomputers

ENG EC 751 Design of Asynchronous Circuit and Systems

ENG EC 752 Theory of Computer Hardware Testing

ENG EC 753 Fault-Tolerant Computing

ENG EC 757 Advanced Microprocessor Design

ENG EC 772 VLSI Graduate Design Project

ENG EC 782 RF/Analog IC Design

Computer Communications/Networks

ENG EC 505 Stochastic Processes

ENG EC 515 Digital Communication

ENG EC 524/ Optimization Theory and Methods
ME 524

ENG EC 534 Discrete Stochastic Models

ENG EC 541 Computer Communication Networks

ENG EC 544 Networking the Physical World

ENG EC 561 Error-Control Codes

ENG EC 715 Wireless Communications

ENG EC 724/ Advanced Optimization Theory and
ME 724 Methods

ENG EC 725/ Queuing Systems
ME 725

ENG EC 727 Advanced Coding Theory

ENG EC 733 Discrete Event and Hybrid Systems

ENG EC 741 Randomized Network Algorithms

ENG EC 744 Mobile Ad Hoc Networking and Computing

ENG EC 749 Interconnection Networks for Multicomputers

ENG EC 761 Information Theory and Coding

Software

ENG EC 504 Advanced Data Structures

ENG EC 511 Software Systems Design

ENG EC 512 Enterprise Client-Server Software Systems Design

ENG EC 518 Software Project Management

ENG EC 535 Introduction to Embedded Systems

ENG EC 544 Networking the Physical World

ENG EC 712 Advanced Software for Computer Engineers

ENG EC 726 Personal Knowledge Engineering

ENG EC 730 Information-Theoretical Design of Algorithms

Concentration Areas in Photonics

Lasers and Applications

ENG EC 560 Introduction to Photonics

ENG EC 569 Introduction to Subsurface Imaging

ENG EC 570 Lasers

ENG EC 591 Photonics Laboratory I

ENG EC 760 Advanced Topics in Photonics

ENG EC 762 Quantum Optics

ENG EC 763 Nonlinear and Ultrafast Optics

ENG EC 764 Optical Measurement

ENG EC 765/ Biomedical Optics and Biophotonics
BE 765

ENG EC 773/ Advanced Optical Microscopy and
BE 773 Biological Imaging

Fiber Optics and Optical Communications

ENG EC 560 Introduction to Photonics

ENG EC 563 Fiber Optic Communication Systems

ENG EC 568 Optical Fiber Sensors

ENG EC 591 Photonics Laboratory I

ENG EC 760 Advanced Topics in Photonics

ENG EC 770 Guided-Wave Optoelectronics

Photonics Materials and Devices

ENG EC 560 Introduction to Photonics

ENG EC 575 Semiconductor Devices

ENG EC 574 Solid State Devices

ENG EC 591 Photonics Laboratory I

ENG EC 760 Advanced Topics in Photonics

ENG EC 771 Physics of Compound Semiconductor Devices

ENG EC 774 Semiconductor Quantum Structures and Photonic Devices

ENG EC 777 Nano-Optics

Breadth Requirement

Students must take 8 credits from other concentration area(s). A course listed under multiple concentrations may be used as either a concentration or a breadth course, but not both. ENG EC 560 may not be taken for breadth requirement by Photonics majors.

Advanced Technical Electives

Students must take 8 credits of EC 700-level coursework. These may also count as concentration or breadth requirements. The 700-level project-oriented courses may not be counted as Advanced Technical Electives.

Thesis or Project Requirement

Students must take 4 credits of Thesis (EC 901) or Project (EC 910, EC 911, EC 912, EC 913, EC 914, EC 915) or an approved project-oriented course (EC 566, EC 712, EC 757, EC 772). This may also count as a concentration requirement but may not count as an advanced technical elective. Passing the PhD prospectus defense will be considered to be the equivalent of completing a project course for post-BS PhD students.

Thesis

Students wishing to undertake a research project must be supervised by a member of the department or by someone acceptable to the Associate Chair for Graduate Studies. The suitability of the research is determined primarily by the student’s thesis advisor, based on informal discussions and a brief written thesis proposal. Thesis proposal guidelines are available and should be consulted. Registration for ENG EC 901 Thesis cannot begin until an acceptable proposal has been submitted. Thesis students register for ENG EC 901 each semester they work on their project, and may apply up to 8 credits of EC 901 registration toward the 32 credits required for the degree.

When a graduate student nears completion of his or her MS research, an oral defense of the work must be scheduled. Deadlines are listed at the beginning of this bulletin. The thesis advisor and readers are responsible for establishing the format of the public defense.

The results of the student’s research must be communicated to the scientific and engineering communities as a formal thesis. Editorial guidance can be found in A Guide for the Writers of Dissertations and Theses, available in the departmental office or in the College Graduate Programs Office. The student must submit the thesis to Mugar Memorial Library and provide a copy to the advisor, to each reader, and a bound copy to the ECE Department.

Project

The project requirement is generally satisfied through one of the 900-level EC project courses (EC 910, 911, 912, 913, 914, and 915). With the exception of EC 912 Software Engineering Project and EC 915 Computer Engineering Team Project, which are offered as regularly scheduled courses, these courses are generally arranged by a student or group of students with an individual faculty member. Faculty members may also announce the availability of projects for interested students.

It is also possible to satisfy the project requirement by taking one of the desig- nated project-oriented courses (EC 566, EC 712, EC 757, or EC 772) that include a substantial project as an integral part of the course material.

Graduate Technical Electives

The remainder of the course requirements may be met through graduate technical electives, which include all courses at the 500 level or above in ENG, as well as courses in the following CAS departments: astronomy, biology, chemistry, cognitive and neural systems, computer science, mathematics, and physics, except courses for nonmajors (e.g., CAS PY 633 Energy). CAS courses require advisor approval and a petition. Certain teaching seminars (e.g., EC 850) and preparatory courses are not allowed.

Academic Standards

All graduate courses will be counted in the cumulative GPA, which must be at least 3.0 for good academic standing and graduation. Only grades of C or above receive graduate credit and fulfill MS curricular requirements.

Approval

All individual programs must be reviewed and approved by the academic advisor and the Department of Electrical & Computer Engineering. Approval must be completed before registration for the second semester of study.

Exceptions

Individuals who have outstanding records of professional achievement or academic accomplishment at an advanced level may be exempted, by petition, from some of the MS program distribution requirements listed above, thereby facilitating the planning of a more advanced program. Such a proposal should be accompanied by a clear statement of objectives and a description of how the program will achieve the proposed objectives. In general, a more advanced course in an area may be substituted for a required course in satisfying the degree requirements.

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Admission Requirements

Students entering the graduate programs in the Department of Electrical & Computer Engineering are expected to have completed a Bachelor of Science degree in Electrical or Computer Engineering. Prospective applicants from other fields such as other engineering disciplines, computer science, mathematics, or physics may be accepted with possible additional requirements for the completion of background courses. Such applicants will be judged individually according to their backgrounds and professional objectives. Required background work should be taken at the start of a student’s program.

Applications for admission may be obtained from the College of Engineering Graduate Programs Office, 48 Cummington Street, Boston, MA 02215; tel: 617-353-9760; e-mail: enggrad@bu.edu; College of Engineering Graduate Programs website: www.bu.edu/eng/grad. An electronic application is available at www.bu.edu/eng/grad/apply.

Research Interests of the Faculty

Murat Alanyali, PhD: communication networks; performance analysis and optimization; stochastic systems.

Hatice Altug, PhD: nanophotonics, photonic crystals.

John Baillieul, PhD: robotics; control of mechanical systems; mathematic system theory.

Enrico Bellotti, PhD: computational electronics; semiconductor materials and device simulations; power electronics; parallel computing.

Irving Bigio, PhD: medical application of optics, lasers, and spectroscopy; biophotonics; nonlinear optics; applied spectroscopy; laser physics.

Richard Brower, PhD: molecular dynamics simulation for biomolecules; lattices methods for QCD and statistical mechanics; quantum field theory of strings and particles.

Robert Brown, PhD: mathematical modeling of the fluid mechanics, heat and mass transfer and interfacial phenomena associated with materials processing, especially melt crystal growth, polymer processing and coating deposition; fluid mechanics of viscoelastic fluids; analysis and numerical simulation of flow instabilities; prediction and characterization of microscopic changes in interface morphology during directional solidification; experimental measurement of microscale morphologies in melt/solid interfaces during solidification; efficient numerical solutions of transport problems, especially by finite element methods; modeling the dynamics of defects in crystalline semiconductors grown from the melt and in semiconductor processing.

David K. Campbell, PhD: general nonlinear phenomena and complex systems; novel electronic materials, including conducting polymers and organic and high Tc superconductors; electron transport in semiconductor superlattices.

Jeffrey B. Carruthers, PhD: photonic wireless communication; mobile and wireless networks; engineering education.

Christos G. Cassandras, PhD: discrete event and hybrid systems, stochastic control and optimization, computer and communication networks, wireless sensor networks, manufacturing systems, supply chain management, computer simulation, command-control systems.

David Castañón, PhD: stochastic control; estimation optimization; image understanding and parallel computation.

Franco Cerrina, PhD: semiconductor devices and fabrication modeling, nanolithography, nanofabrication, optics, optical systems, X-rays, synchrotrons, DNA synthesis, system and synthetic biology.

Supriya Chakrabarti, PhD: space experimentation; ultraviolet spectroscopy.

Luca Dal Negro, PhD: optical amplification phenomena and laser physics; optical spectroscopy of semiconductor nanostructures; photonic crystals, Anderson light localization and aperiodic dielectrics; nanophotonics and plasmonics.

Solomon Eisenberg, ScD: electrically mediated phenomena in tissues and biopolymers.

Farouk El-Baz, PhD: remote sensing with an emphasis on arid lands, particularly in the location of groundwater resources.

Theodore Fritz, PhD: space plasma and magnetospheric physics; magneto sphere-ionsphere coupling; substorms; charged particles and compositions; rocket and satellite experiments.

Roscoe Giles, PhD: advanced computer architectures; distributed and parallel computing; computational science.

Bennett Goldberg, PhD: room- and low-temperature, near-field microscopy of semiconductors and biological systems; magneto-optics and magnet-transport of two- and one-dimensional electron fields.

Martin Herbordt, PhD: computer architecture; high-performance computing systems and applications, configurable computing, high-level design automation, bioinformatics and computational biology.

Mark Horenstein, PhD: applied electromagnetics; electrostatics; microelectromechanical systems (MEMS).

Allyn Hubbard, PhD: VLSI design using analog and digital techniques in CMOS; neural net chips, smart sensor chips, and chips with biological applications; models of the peripheral auditory system.

Prakash Ishwar, PhD: distributed signal processing; information theory; statistical signal processing and modeling; image and video coding; decision theory; multiresolution signal analysis, and optimization theory with applications to sensor networks; multimedia-over-wireless; information security.

W. Clement Karl, PhD: multidimensional and multiscale signal and image processing and estimation, particularly applied to geometrically and medically oriented problems.

Mark Karpovsky, PhD: design of secure cryptographic devices and smart cards; routing in interconnection networks design and protection of cryptographic devices; fault-tolerant computing; error correcting codes; testing and diagnosis of computer hardware.

William Klein, PhD: theoretical condensed-matter physics; polymer physics, and statistical mechanics.

Ronald W. Knepper, PhD: VLSI integrated circuit technology; SiGe BICMOS device and circuit modeling; silicon CMOS and bipolar devices; numerical device simulation; RF/analog IC design.

Janusz Konrad, PhD: multimedia communications; image and video processing; stereoscopic and 3-D imaging; digital signal processing.

Robert Kotiuga, PhD: electromagnetics; numerical methods for three-dimensional vector field problems; Whitney forms and the Finite Element Method; micromagnetics; nanoscale magnetics; geometric inverse problems; topological aspects of magnetic scalar potentials; Helicity Functionals; analysis of high-performance interconnects.

Min-Chang Lee, PhD: radio communications; experimental plasma physics; ionospheric plasma physics.

Lev Levitin, PhD: information theory; physics of communication and computing; complex and organized systems; quantum theory of measurement; reliable communication and computing; and bioinformatics.

Thomas Little, PhD: Mobile Ad Hoc Networks (MANETs); multimedia computing; computer networking; software engineering; embedded sensor networks.

Fei Luo, PhD: optical fiber devices; optical fiber sensors and systems; fiber laser and amplifier.

Michael Mendillo, PhD: signal processing in space physics; GPS satellite communications; space plasmas in the solar system; low-light level optical instrumentation; planetary atmospheres.

Jerome Mertz, PhD: development and applications of novel optical microscopy techniques for biological imaging.

Theodore Morse, PhD: photonic material processing; optical fiber fabrication, lasers, and sensors; high-power double clad fiber lasers.

Theodore Moustakas, PhD: growth by MBE, MOCVD, HVPE and gas-cluster ion beam deposition (GCIB); growth, fabrication and characterization of optical devices (UV-LEDs, UV-LDs, optical modulators, detectors), electronic devices (high-power diodes, transistors and thyristors) and electromechanical devices (SiC/III-Nitride MEMS sensors); III-nitride semiconductors (materials growth and device fabrication).

Syed Hamid Nawab, PhD: computational signal processing; applied artificial intelligence; analysis algorithms for EMG signals; analysis algorithms for patient activity signals; analysis algorithms for auditory signals.

William Oliver, PhD: global change in the upper atmosphere; radar studies of the upper atmosphere and ionosphere; modeling and simulation.

Roberto Paiella, PhD: device physics and applications of semiconductor quantum structures, optoelectronic devices based on group-III nitride semiconductors, terahertz photonics; plasmonics and related optoelectronic device applications, novel device concepts and circuit architectures for ultrafast all-optical information processing.

Ioannis Paschalidis, PhD: systems and control, networking, applied probability, optimization, operations research, and computational biology. Specific applications of interest include: communication and sensor networks, protein docking, and supply chains.

Wei Qin, PhD: design tools and methods for embedded systems and embedded processors; design languages for electronic systems.

Michael F. Ruane, PhD: resonant cavity imaging systems; K–12 outreach and engineering education; optical systems; instrument design.

Bahaa E. A. Saleh, PhD: quantum optics; nonlinear optics; image processing.

Venkatesh Saligrama, PhD: information and control theory; statistical signal processing; sensor networks, video analytics over camera webs.

Eric Schwartz, PhD: computational neural science; machine vision; neural anatomy; neural modeling.

Joshua Semeter, PhD: ionospheric and space plasma physics; spectroscopy of atmospheric airglow and the aurora borealis; image processing; radar systems and radar signal processing.

Alexander Sergienko, PhD: correlation spectroscopy, field optical microscopy and spectroscopy of semiconductor materials and devices; quantum communications; remote laser sensing; laser physics; nonlinear optics; quantum optics, including quantum radiometry and metrology.

Thomas Skinner, PhD: microprocessors; computer networks; operating systems; distributed systems.

William J. Skocpol, PhD: formerly nanofabrication; device processing; transport experiments in materials. Primary appointment in the Physics Department, now teaching introductory physics courses and doing administrative work as Faculty Director of the Physics Department.

David Starobinski, PhD: wireless and sensor networks; QOS and traffic engineering; networks performance evaluation.

Anna Swan, PhD: optical studies using Raman spectroscopy, Rayleigh scattering and time-resolved pump-probe experiments to study electronic and vibrational properties and energy dissipation mechanisms and exciton dynamics of low-dimensional systems-graphene and carbon nanotubes. Studies performed on single, individual nanotubes and quantum dots. Another area of interest is spectral self-interference spectroscopy for high-resolution imaging and biosensing.

Alexander Taubin, PhD: asynchronous circuit, logic design; computer architecture; CAD; attack-resistant hardware.

Malvin C. Teich, PhD: quantum optics and imaging; photonics; fractal stochastic processes; information transmission in biological sensory systems.

Tommaso Toffoli, PhD: fundamental connections between physics and computation; fine-grained modeling of physics-like systems technology (cellular automata machines) and methodology (programmable matter); personal knowledge structuring.

Ari Trachtenberg, PhD: error-correcting codes; security; data synchronization (especially for PDAs and mobile networks); sensor-based location detection; algorithms.

M. Selim Ünlü, PhD: near-field optical microscopy and spectroscopy of semiconductor materials and devices; design, processing, characterization, and simulation of semiconductor optoelectronic devices; nanoscale imaging of biological samples, biosensors.

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