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Microwave and Wireless Engineering

In this certificate program, professionals learn exciting new uses of microwave and wireless technology through extensive lab and project work.

Certificate program
Microwave and Wireless Engineering Certificate
  • Degree Offerings
  • Faculty
  • Application Requirements
  • Contact the Department

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Office of Graduate Admissions
Bendetson Hall
Medford, MA 02155
(617) 627-3395
gradadmissions@tufts.edu

Microwave and Wireless Engineering (certificate)

To develop faster computer circuits, computer hardware researchers and designers need to know more about microwave engineering concepts. With the availability of relatively inexpensive microwave components and improved digital communications, commercial opportunities in the microwave and wireless engineering industry have few limits.

Radar, satellite, wireless radio and optical communication, and collision avoidance radar are just a few areas which utilize microwave technology. As engineers explore low microwave frequencies and even lower radio frequencies, this technology will be applied to cable, broadcast, television, medical, and other commercial uses.

This five-course certificate is open to students with a bachelor's degree in electrical engineering or physics or with equivalent preparation, including a background in general physics and intermediate circuit theory.

Students interested in earning a graduate degree can often apply these certificate courses toward a Tufts master's degree in electrical engineering. All of our certificate programs can be taken on a part-time basis.

Faculty

Mohammed Nurul Afsar
Professor
Ph.D. , University of London
Precision microwave, millimeter, submillimeter, terahertz, infrared wave; Solid, liquid & gaseous state physics, spectroscopy; Theoretical studies of polymeric, glassy, amorphous and chemical vapor deposition (CVD) grown materials, ceramic and semiconductor materials, thin films, liquids and fluids, electronic, biological and magnetic materials; Microwave Integrated Circuits for wireless
Shuchin Aeron - Associate Professor
Shuchin Aeron
Associate Professor
Ph.D. , Boston University
Technical foci: Statistical Signal Processing (SSP), Inverse Problems, Compressed Sensing, Information Theory, Convex optimization, Machine learning; Application areas: Algorithms for geophysical signal processing, Compressed Sensing architectures and evaluation, video and Image data acquisition and processing, bioengineering-metabolic networks
Steven Bell
Assistant Teaching Professor
Ph.D. , Stanford University
Chorng Hwa Chang - Associate Professor
Chorng Hwa Chang
Associate Professor
Ph.D. , Drexel University
Computer Architecture, Parallel Processing, Computer Networking, Hardware Description Languages, Simulation and Programmable Logic Design, Engineering Education
Kevin Grossklaus - Research Assistant Professor
Kevin Grossklaus
Research Assistant Professor
Ph.D. , University of Michigan
Optoelectronics, thin film deposition, energy materials, materials characterization, III-V semiconductors
Mark Hempstead
Mark Hempstead
Associate Professor
Ph.D. , Harvard University
Computer Architecture, Computer Systems, Power-Aware Computing, Embedded Systems, Mobile Computing
Jeffrey Hopwood
Professor
Ph.D. , Michigan State University
Microwave Circuit Design for Microplasma Generation, Microplasma-Based Environmental Sensors and Other Microsystem Applications, Plasma Diagnostic Methods, Characterization and Modeling
Usman Khan
Associate Professor
Ph.D. , Carnegie Mellon University
Robotics, Signal Processing, Sensing in The Context of Distributed Estimation and Control Algorithms, Distributed, Iterative Algorithms in Random Environments
Valencia Joyner Koomson
Associate Professor
Ph.D. , University of Cambridge
Design of Silicon-Based Mixed-Mode VLSI Systems (Analog, Digital, RF, Optical), Analog Signal Processing, Optoelectronic System-on-Chip Modeling and Integration for Applications in Optical Wireless Communication and Biomedical Imaging
Ronald Lasser
Professor of the Practice
Ph.D. , Carnegie Mellon University
Digital Image Processing, Computer Animation, Swarm Robotics, Innovation, Engineering Method & Design
Eric Miller - Professor and Chair of Electrical and Computer Engineering
Eric Miller
Professor and Department Chair
Ph.D , Massachusetts Institute of Technology
signal and image processing, inverse problems
Karen Panetta - Professor
Karen Panetta
Professor and Dean of Graduate Education
Ph.D. , Northeastern University
Image and Signal Processing for Security and Medical Applications, Modeling and Simulation, Multimedia
Douglas Preis
Professor
Ph.D. , Utah State University
Signal Analysis, Digital Signal Processing, Audio Engineering, Electromagnetic Theory
Sameer Sonkusale - Professor
Sameer Sonkusale
Professor
Ph.D , University of Pennsylvania
Integrated circuits, Nanoelectrochemical systems on silicon, CMOS image sensors , Analog to information converters, Active metamaterial circuits and systems, Terahertz integrated circuits, Metamaterials, Plasmonics, and material science
Aleksandar Stankovic - Professor
Aleksandar Stanković
Alvin H. Howell Endowed Professor
Ph.D. , Massachusetts Institute of Technology
Analytical and Experimental Work Involving Modeling, Control, and Estimation in Electric Energy Processing, Power Electronics, Power Systems, and Electric Drives
Brian Tracey
Professor of the Practice and Research Assistant Professor
Ph.D. , Massachusetts Institute of Technology
Imaging Techniques and Image Processing, Computational Acoustics and Acoustical Signal Processing, Biomedical Signal Processing and Medical Device Development
Thomas Vandervelde
Associate Professor and Program Director
Ph.D. , University of Virginia
The Interaction of Light with Matter, Physics of Nanostructures and Interfaces, Semiconductor Photonics and Electronics, Epitaxial Crystal Growth, Special Interest in the Area of Materials and Devices for Energy and Infrared Applications
Mai Vu
Associate Professor
Ph.D. , Stanford University
Cognitive and Cooperative Communications, Energy-Efficient Communications, Wireless Communications, Network Information Theory, Statistical Signal Processing, Convex Optimization and Applications

Application Deadline


Spring: September 15 (international applicants) and December 31 (domestic applicants)
Fall: June 1 (international applicants) and August 1 (domestic applicants)

Application Requirements


> Application Fee
> Resume/CV
> Personal Statement
> Essay
> Official TOEFL or IELTS, if applicable
> Transcripts
> One Letter of Recommendation

 

For questions about this program, including scholarships and assistantships, please contact the graduate program director.
 
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School of Engineering
Tufts University
200 College Avenue
Medford, MA 02155
 
Office: 617-627-3217