Okechukwu Clark Ugweje
Office Location
Okey Ugweje, Ph.D., has over 25 years of teaching experience, starting at the University of Akron, Akron, OH, where he taught courses in the areas of Communication Systems, Digital Signal Processing, Probability and Random Processes. After ten years of service to UA, he resigned his appointment to take a new position as Director, Department of Research, Education and Curriculum at the Digital Bridge Institute (DBI). While in Akron, he supervised twelve (12) Master's degree Thesis and four (4) Ph.D. dissertations. Before joining SHU, he was an Electrical and Computer Engineering professor at the University of Mount Union. Dr. Ugweje has published and presented over 100 articles in Journals and Conferences proceedings worldwide and authored three book chapters. Dr. Ugweje is married with three children.
Degrees & Certifications
- Ph.D., Electrical Engineering, Florida Atlantic University, Boca Raton, Florida (August 1997)
- M.Sc., Electrical Engineering, Southern Illinois University, Carbondale, Illinois (August 1986)
- B.Sc., Electrical Engineering, Southern Illinois University, Carbondale, Illinois (August 1984)
Teaching Responsibilities
- CS 501 Introduction to Data Structures
- ENGR 315 Analog Circuits with Lab
- ENGR 350 Sensors and Robotics with Lab
- ENGR 339 Power Systems with Lab
- ENGR 349 Electromagnetics with Lab
- CSE 300 Statistics and Probability
Awards & Fellowships
- Ten-Year Service Award, University of Akron Board of Trustees, Akron, OH
- Tau Beta Pi (Engineering Scholarly Honor), USA
- Eta Kappa Nu (Electrical and Computer Engineering Scholarly Honor), USA
Faculty Research Fellow at:
- National Aeronautics and Space Administration (NASA), Glenn Research Center, Cleveland, OH
- NASA Goddard Space Flight Center, Greenbelt MD
- Ohio Aerospace Institute (OAI), Cleveland
- US Air Force Research Laboratory, Rome, NY
Research Interests
- Information and Communication Technologies
- Wireless technologies
- Multi-user communication systems
- Spread-spectrum technology
- Diversity techniques
- Artificial Intelligence