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Research Areas | ||||||||||||||||||||||||||||||||||||
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Professors:
Contact: Mary Phillips (mrp@ece.northwestern.edu) Solid State Engineering focuses primarily on the science and technology of semiconductors for quantum structures and devices operating from the ultraviolet up to far infrared. Quantum devices are fabricated using the most advanced semiconductor synthesis technologies (MOCVD, MBE, gas source MBE...), as well as micro-fabrication techniques (high-precision photolithography, e-beam evaporation, RTA, reactive-ion-etching...). The quantum devices are fully tested at each step in the fabrication process using advanced characterization techniques (diffraction, SEM, TEM, photoluminescence, Hall...). Most of the research is performed within the Center for Quantum Devices, in a 'clean room' environment similar to what is found in industry. These quantum devices are highly demanded by today's applications. Ultraviolet lasers and photodetectors are needed for astronomy, space communications and the monitoring of engines and heat sources. Red, green and blue (RGB) solid-state lasers are needed for high brightness full-color displays and optical data storage (CD, DVD). High power 0.808 mm, 0.98 mm, 1.3 mm and 1.5 mm lasers and VCSELs are needed for medical applications and fiber optical communications. Infrared lasers (e.g. Quantum Cascade lasers), photodetectors (e.g. QWIP) and focal plane arrays (FPA) are needed for chemical analysis and night vision. Study in the area of Photonic Systems and technology focuses on micro-cavity lasers, nano-stuctures, quantum and nonlinear optics, integrated optics, fiber-optic and infrared waveguide devices, fiber-optic communications, computational electromagnetics, and imaging through turbulence. Special emphases include: applications of novel quantum amplifiers in optical communications, imaging, and cryptography; devices for tera-bit per second WDM and TDM optical networks; and applications of computational techniques in integrated and nonlinear optics. View current Solid State and Photonics research projects. Professors:
Contact: Thrasos Pappas (pappas@ece.northwestern.edu) Study in the area of Networks, Communication and Conrol focuses on communications, telecommunications and communication networks, and control theory. Specific areas of study include: mobile wireless multi-user communication, estimation and detection, wireless networks, resource allocation in communication networks, data network protocol design, network performance modeling and analysis, nonlinear and robust control, and stochastic hybrid systems. Communications and Networking Lab Study in the area of Signal Processing focuses on the digital representation and algorithmic manipulation of speech, audio, image and video signals. Specific topics within this general area include image and video processing, recovery and compression, multimedia signal processing, filter design and rank-order operators, image and video transmission, medical and biomedical signal processing, medical imaging, and algorithms for medical instrumentation. View current Systems research projects.
Professors:
Contact: Yehea Ismail (ismail@ece.northwestern.edu) Specific areas of study in parallel and distributed computing include parallel and distributed architectures and systems, parallel compilers and runtime systems, parallel applications, parallel input-output and disk organizations, and measurements and performance analysis tools for parallel systems, parallel and distributed database and transaction systems, on-line analytical processing and data mining. Parallel algorithms for various applications in science and engineering are studied. They include VLSI computer-aided design applications, applications in transportation and finite-element problems, computational geometry and scientific visualization, algorithms for optimization, numerical computing, robotics and computer vision. Work on VLSI Design and CAD focuses on the challenges of developing digital hardware for complex systems. This area investigates how best to design integrated circuits, processors, and computing systems to deliver the highest performance at reasonable cost and power consumption. The specific research areas involve ASIC and digital hardware design, microprocessor design, embedded systems design, FPGA architectures and FPGA based systems, FPGA applications and adaptive computing, CAD software and algorithms for physical design, logic synthesis and behavioral synthesis, CAD theory, CAD for low power design, parallel algorithms for VLSI CAD, and other areas of VLSI design and CAD. View
current Computer Engineering research projects.
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