Electrical Engineering: The UDC Edge

Located in the heart of the nation’s capitol, the University of the District of Columbia is an affordable and high quality educational option, attentive to your needs and committed to your success.  The MSEE program offers graduate students one of the lowest faculty-to-student ratios in the region, and makes an effort to personalize every student’s educational experience.

Our students also have the opportunity to partner with faculty in grant-funded research. Through the STEM Center for Research and Development, the Center of Excellence for Renewable Energy and other faculty research initiatives offered by UDC, you will have ample opportunities as a graduate student to gain valuable research experience and be on the cutting edge of the electrical engineering field.

Master’s Degree (MS) in Electrical Engineering

Looking for professional advancement in electrical engineering? Interested in keeping on top of fast-moving developments in communications and signal processing or digital systems engineering? The master’s degree in electrical engineering (MSEE) at the University of the District of Columbia gives you the tools to succeed in a competitive, high-paying job market while offering the flexibility you need as a working professional.

The MSEE provides students with the tools and technical knowledge to research and develop new technologies in the electrical engineering field and to design electrical engineering systems. The program has a special focus on two growing electrical engineering areas—communications and signal processing as well as digital systems engineering—that have a host of applications in national security, defense, and high-tech consumer products.

You will become an expert in state of-the-art technology and theory; conduct research in an array of electrical engineering and design areas; and apply these skills to solving real-world problems. Program graduate faculty members are enthusiastic researchers, passionate teachers, and committed mentors, and will guide you through every step of your educational and professional journey.


Curriculum and Requirements in the UDC Electrical Engineering Program

The MSEE at UDC requires 30 credit hours of graduate-level course work. A thesis option is required for students who work as graduate research assistants and is encouraged for those considering doctoral study. In addition to our primary areas of emphasis, the program offers a wide variety of courses designed to meet the needs of students interested in working for high-tech companies and developing the marketable skills needed to succeed in today’s job market. A sampling of such courses includes:

  • Wireless Networks
  • Multimedia Communications
  • Digital Integrated Circuit Design
  • Coding Theory and Applications
  • Computer Architecture

Learn more about the curriculum for the master’s degree in electrical engineering.

The electrical engineering master’s degree curriculum prepares students for the Fundamentals in Engineering (FE) national examination.

Student Organizations and Activities in the UDC Electrical Engineering Program

The STEM Center for Research and Development is a valuable resource for electrical engineering students, offering enrichment activities designed to boost academic competency, provide research opportunities, and increase student retention and graduation rates.

Students also participate in a number of social and professional associations, including the National Society of Black Engineers and the Institute of Electrical & Electronics Engineering

Every February, the School of Engineering and Applied Sciences hosts a week of special events to inspire current and future engineers at UDC. Engineers Week includes lab visits, project presentations, networking opportunities and other events sponsored by student groups and affiliated organizations.

Faculty Spotlight: UDC Electrical Engineering Program

Dr. Esther T. Ososanya is a professor of Electrical and Computer Engineering at the University of the District of Columbia, and the current department chairperson. During her career, Dr. Ososanya has worked for private industry as a circuit development engineer and as a software engineer, in addition to her academic activities. She received her education in the United Kingdom, where she achieved her Ph.D. in Electrical Engineering from the University of Bradford in 1985, and a Post Doctoral Research Fellow from the University of Birmingham, UK. She was a Visiting Professor at Michigan Technological University for five years, and an Associate professor at Tennessee Technological University for 7 years prior to arriving at the University of the District of Columbia in the Fall of 2001. Dr. Ososanya research interests include new applications for VLSI ASIC design, Microcomputer Architecture, Embedded Systems design, Nanotechnology, and Renewable Energy Systems. In recent years, she has worked with colleagues to apply these technologies to Biomass research, Solar Cells efficiency capture research, and Renewable Energy Curriculum developments.

Dr. Paul Cotae, Professor of Electrical and Computer Engineering is the Director of SEAS Research Center. His research is in Digital Communication, Information theory, Statistics and Applied Mathematics and Cybersecurity: Anomaly detection, Detection of Low Rate Denial of Service Attacks, Intrusion Detection, Information Visualization. He published more than 140 conference and journal papers, authored 2 books and coauthored 3 books in the area of digital communications systems. During the AY 2014-2015 he spent his sabbatical at the Center for High Assurance Computer Systems Code 5540, Naval Research Laboratory, Washington DC, 20375. Since 2009 he has been selected every summer as ONR Senior Research Fellows for the ASEE Summer Faculty Research Program at NRL. His research is sponsored by NSF, ONR, AFOSR and USAF. He received in last five years more than $1M for his research from DOD as a sole PI for the following grants: –Army Research Office (ARO) –Award No. W911NF-15-1-0481: “Performance Data-Driven Methods and Tools for Computer Network Defense through Network Science”, Period: August 21, 2015- August 21, 2019 ($594,755.00) and Office of Naval Research – Award no. W911NF-11-1-0144 “Information-Driven Blind Doppler Shift Estimation and Compensations Methods for Underwater Wireless Sensor Networks”, Period: April 6, 2011- April 14, 2015 ($424,631.00). He is providing full support for students in MSEE program doing research in the above areas.

Wagdy H. Mahmoud is an Associate Professor of Electrical Engineering at the Electrical and Computer Engineering Department at UDC. Dr. Mahmoud is the Director of the Master of Science in Electrical Engineering (MSEE) and the Chair of the University of Columbia Graduate Council. Dr. Mahmoud is actively involved in research in the areas of Reconfigurable Computing, Application-Specific Integrated Circuits (ASIC), Advanced Digital Logic Design, Digital Image Processing, Digital Signal Processing, Computer Architecture, Embedded Processing Systems, and Hardware/Software Co-Design of system on a chip using reconfigurable logic.

Dr. Sasan Haghani received his B.S. degree (with honor) in Electrical Engineering from Isfahan University of Technology, Iran,  and M.S. and Ph.D.  degrees in Electrical Engineering from the University of Alberta, Canada. Dr. Haghani is an Associate Professor in the Department of Electrical and Computer Engineering at the University of the District of Columbia, Washington, DC. Dr. Haghani’s expertise are in the areas of wireless sensor networks with applications in environmental and healthcare monitoring and smart grid. His research has been funded by the National Science Foundation, Department of Education and the Xerox Corporation. Dr. Haghani is a UDC Myrtilla Miner Faculty Fellow and has been the recipient of a number of awards from the School of Engineering and Applied Sciences at UDC.

Dr. Nian Zhang received her B.S. degree (with honor) in Electrical Engineering from Wuhan University of Technology, M.S. degree in Electrical Engineering from Huazhong University of Science and Technology, and Ph.D. degree in Computer Engineering from Missouri University of Science and Technology. She is an Associate Professor of the Department of Electrical and Computer Engineering at the University of the District of Columbia, Washington D.C. Dr. Zhang’s research expertise and interests include computational intelligence, machine learning, big data mining, supervised and unsupervised learning, and various application fields including big data science, time series prediction, biomedical engineering, and autonomous robot navigation. Her research has been funded by National Science Foundation (NSF), Office of Naval Research (ONR), NASA, US Geological Survey (USGS), Xerox Corporation, and Bush Foundation. Dr. Zhang is an ONR Summer Faculty Research Fellow, Myrtilla Miner Faculty Fellow, and IEEE Senior Member. She is an Associate editor of the IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems, and Guest Editor of Computational Intelligence and Neuroscience Journal and International Journal of Systems, Control and Communications. She is the General Chair of 2018 ASEE Mid-Atlantic Conference, Washington, D.C. and was the General Chair of IEEE Computational Intelligence Society (CIS) Winter School, Washington, D.C., February 19-21, 2016. Dr. Zhang was a recipient of the Best Paper Award in the 2003 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Dr. Hongmei Dang is an Assistant Professor of Professor of the Department of Electrical and Computer Engineering at the University of the District of Columbia, Washington D.C since August 2016. She received her Ph.D. degree in Department of Electrical and Computer Engineering from University of Kentucky in 2015 and was a postdoctoral scholar at University of Kentucky from 2015-2016. Dr. Dang’s research expertise and interests are nanoscale solid state electronics, including but not limited to solar cells, MEMS sensor networks, two dimensional material devices and sensors, medical devices, power electronics devices as well as device modeling and simulation. Dr. Dang is also interested in applying data science and algorithm into device and system research. She published 7 peer reviewed journal papers and 5 peer review conference papers. She was nominated the Best Paper Award in the 2015 IEEE PVSC Conference. She is an IEEE woman in PV member and serves a reviewer for Solar Energy Materials and Solar Cell, Solar Energy and Nanotechnology Journals.

Dr. Amir Shahirinia has received B.S. and M.S. degrees from K.N.Toosi University of Tech., Tehran, Iran, and PhD from University of Wisconsin-Milwaukee in Electrical Engineering. He has also performed postdoctoral studies with the power electronics group at Rockwell Automation. He is currently an assistant professor of the Department of Electrical and Computer Engineering at the University of the District of Columbia, Washington D.C. Dr. Shahirinia’s research background encompasses the areas of power systems and power electronics and ranges from optimal planning of renewable energy grid integration systems (REGIS), modeling and intelligent real-time control of REGIS, Bayesian statistical analysis and predictive modeling of REGIS, to power electronics and motor drives.

Dr. S. Lakeou, was s professor of electrical engineering at the Department of Electrical and Computer Engineering at the University of the District of Columbia (UDC). He was appointed Professor Emeritus in 2016. Dr. Lakeou has served as department chairman at UDC for more than 20 years and has more than thirty years of teaching experience. He has led the program of electrical engineering at UDC through several successful ABET accreditation reviews. Dr. Lakeou has also served as Assistant Dean of the School of Engineering and Applied Sciences (SEAS) at UDC for 5 years.  He was the Director of UDC’s Center of Excellence for Renewable Energy (CERE)for 8 years. Dr. Lakeou received the BSEE and MSEE degrees from the University of Grenoble (aka Universite Joseph Fourier), France, in 1974 and 1976 respectively. He received the PhDEE in 1978 (with Highest Honors, “Mention Tres Bien et Felicitations du Jury”), from the Ecole Nationale d’Electronique et de Radioelectricte de Grenoble (ENSERG) of the National Polytechnic Institute of Grenoble (France). He took a two year leave of absence from UDC in 1986 to serve as Member of the Engineering Staff at the New Products Laboratory of RCA, where he was responsible of the design of a full custom VLSI chip design for high end TV sets. He was the Principal Investigator of several research grants including NSF and NASA grants totaling more than $500,000. He was selected by the Office of Naval Research (ONR) as a Summer Faculty Research Fellow at the Naval Research Lab, in Washington D.C. for 8 consecutive summers from 1998. His research interests include applied superconductivity for IR detection, laser direct writing of electronic components and sensors, solar cell efficiency and application of solar energy for rural and urban off-grid and hybrid utilizations. He has published more 40 technical and conference papers.

Dr Tarak Bhar is a professor (retired) in the department of Electrical and Computer Engineering. Dr Bhar served as a consultant to Bell Laboratories, The Naval Research Laboratory, The Bureau of Standard (NIEST), and several industries doing work for the US Navy. He was a project leader in the development of a training manual for the US Navy on the subject of Electrostatic discharge control, and was a major contributor to the development of DOD-STD-1682 and DOD-HDBK-263 on Electrostatic discharge control programs. He co-authored a book titled ,”Electrostatic Discharge Control”. Dr Bhar was Principal /Co-Principal Investigator on a number of externally funded projects at Howard University & University of District of Columbia. At Howard University Dr Bhar worked on projects on LPE GaAs material preparation, characterization and fabrication of devices, funded by NASF,NASA,DOE, and Rockwell International. At UDC research project on Avalanche Breakdown Mechanism of SOI MOSFETS, was funded by US Air Force. Also at UDC the project on Workforce development on Nano-Electronic Industries was funded by NSF. Dr Bhar has been selected as ONR Senior Research Fellow for the ASEE Summer Faculty Research Program at NRL for twenty years. Dr Bhar published 50 research papers in National And International Journals. Dr BHAR is listed in Who’s Who in the East, 1980, listed in Directory of World Researcher,1981, and listed Who’s Who in 2011.

Career Pathways and Prospects

One of the key objectives of the MSEE program at UDC is to prepare graduates for professional leadership positions in the field. Electrical engineers are in high demand, and an electrical engineering master’s degree from UDC will prepare you for career opportunities in both the private and public sector. You can find UDC electrical engineering alumni working at IBM, Northrop Grumman, Verizon and PEPCO, among other innovative technology, energy-related, and consulting businesses in the capital region and beyond.

You may also choose to pursue a doctoral degree in electrical engineering, physics, mathematics, medicine or another related field. UDC engineering graduates have gone to graduate school at institutions such as Howard University, George Washington University and the University of Maryland.

Whatever your educational or career aspirations, UDC has the faculty, employer connections, and commitment to help you achieve them.

Contact info:

E: seas@udc.edu | T: 202.274.5126 | F: 202.274.5520