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Professors and their research areas at The University of Utah |
Various Research Areas
With external research
funding, the Electrical and Computer Engineering department of the University
of Utah is a vital component of the University's growing research enterprise.
The highly interdisciplinary research environment in the department has
enabled faculty to respond to emerging needs in diverse areas as
communications, control systems, signal processing, image processing,
computer engineering and VLSI system design, microwaves and electromagnetics,
optics, semiconductors and micro- and nano- device fabrication. Following are
various professor interviews from the diverse research areas mentioned above
providing biography as well as career and research details. This may help students decide their
individual areas of specialization as well information like courses, projects
etc from the video interviews linked below.
Research
areas
Electromagnetics
An electromagnetic field, sometimes referred to as an EM field, is generated when charged particles, such as electrons, are accelerated. All electrically charged particles are surrounded by electric fields. Charged particles in motion produce magnetic fields. When the velocity of a charged particle changes, an EM field is produced.
Professor of Electromagnetics
Director, Center of Excellence for Smart Sensors
Associate Chair for Undergraduate Studies, ECE Department
Signal Processing
Signal processing is the analysis, interpretation, and manipulation of signals. Signals of interest include: sound, images, time-varying measurement values and sensor data, for example biological data such as electrocardiograms, control system signals, telecommunication transmission signals such as radio signals, and many others.
Dr. Neal Patwari
Assistant Professor, Department of Electrical and Computer Engineering
Adjunct, School of Computing
Director, Sensing and Processing Across Networks (SPAN) Lab
1) What
is engineering to you?
4) What
is your area of electrical engineering and
5) What is your current research?
8) How are the job opportunities after undergrad?
9) What are the graduate school options after the bachelor’s degree?
10) What can you tell about the math, science courses?
Image Processing and Computer Vision
The SCI Institute has established itself as an internationally recognized leader in visualization, scientific computing, and image analysis. The overarching research objective is to create new scientific computing techniques, tools, and systems that enable solutions to problems affecting various aspects of human life. A core focus of the Institute has been biomedicine, but SCI Institute researchers also solve challenging computational and imaging problems in such disciplines as geophysics, combustion, molecular dynamics, fluid dynamics, and atmospheric dispersion.
Assistant Professor, Electrical and Computer Engineering Department
Assistant Professor, Scientific Computing and Imaging Institute
Adjunct Assistant Professor, School of Computing
Adjunct Assistant Professor, Department of Neurology
1) What is
engineering to you?
3) What
is your background and research?
6) What impact does your
research have on this
7) What courses one should take to progress in this field?
VLSI and Asynchronous Circuits
It’s the field that deals with the algorithms for the computer-aided analysis and design of real-time concurrent systems, analog error control decoders, formal verification, asynchronous circuit design, and modeling, analysis, and design of genetic circuits.
Dr.
Chris J. Myers
Professor of Electrical and Computer Engineering
Adjunct Professor of Computer Science
Adjunct Professor of Bioengineering
7) What courses one should take to progress in this field?
Optics
Optics is the study of light and vision in science and engineering. Light is generally defined as the sector of the electromagnetic spectrum between the infrared and ultraviolet sectors that can be seen with the unaided eye.
Dr. Steve Blair
Director of Engineering Clinic Program, Dept. of ECE (2006-)
Director of Center for Microarray Technology, Dept. of ECE (2005-)
Associate Professor, Dept. of ECE (2005-)
Assistant Professor, Dept. of ECE (1998-2005)
Adjunct Professor, Bioengineering (2000-)
Adjunct Professor, Physics (2002-)
Control Systems
Control systems make other systems do what we want them to do, without us having to do all the work. Examples of control systems in everyday life include the thermostat that regulates the temperature of a room and the cruise control that regulates the speed of a car. Typically, the core of a control system is an algorithm that computes the signal that must be applied at the input of a system so that its output follows certain reference values. Practical implementation involves a computer, a sensor (or sensors) that measures the output of the system, and an actuator (or actuators) that applies the required actions to the system. The actions may be physical forces, electrical signals, chemical products, or any other variables that affect the state of the system.
Dr. Marc Bodson
Professor and Department Chair
