- About ECE
- Academic Integrity
- Student Information
- Undergraduate Degree Plans
- Graduate Degree Programs
- Microsoft Developer Network (MSDNAA)
- Faculty & Staff
Bio-sensors, Bio-signals and Bio-systems
Bio-engineering focuses engineering and the life sciences. It promotes scientific discovery to better the understanding of health problems and it fosters the development of new technologies to improve the accuracy of diagnosis and efficacy of treatment.
Who are in Bio-engineering
The bio-engineering community is extensively interdisciplinary. In this field, you can find electrical engineer, mechanical engineer, chemical engineer, computer engineer, physicist, mathematician, statistician, biologist, biochemist, and physician, et al. Students from a variety of backgrounds in engineering, physical sciences and medicine are enrolled in this program.
Bio-research in ECEN is focused on exploring novel sensors, signal processing algorithms, and systems dedicated to make biological malfunctions "visible" before "treatable".
- Computer Vision
- Introduction to Medical Imaging
- Introduction Bio-medical Engineering
- Numerical Methods in Electromagnetics
Visual Computing and Image Processing Laboratory
Optical Imaging Laboratory
Robust Electromagnetic Field Testing and Simulation Laboratory
Mixed signal VLSI design laboratory
Dr. Charles F. Bunting received his M.S. and Ph.D. in electrical engineering from Virginia Tech in 1992 and 1994, respectively. From 1994 to 2001 he was an assistant/associate professor at Old Dominion University in the Department of Engineering Technology where he worked closely with NASA Langley Research Center on electromagnetic field penetration in aircraft structures and reverberation chamber simulation using finite element techniques. In 2001 he joined the faculty of Oklahoma State University as an associate professor. His chief interests are fundamental variational principles and computational electromagnetics, statistical electromagnetics and the analysis of optical and microwave structures using numerical methods including finite element techniques.
Dr. Guoliang Fan received his B.S. in automation engineering from Xi'an University of Technology, Xi'an, China, in 1993, a M.S. in Computer Engineering from Xidian University, Xi'an, China, in 1996, and a Ph.D. in Electrical Engineering from the University of Delaware, Newark, DE, in 2001. Since 2001, Dr. Fan has been an Assistant/Associate Professor in the School of Electrical and Computer Engineering at OSU. His research interests include image processing, computer vision and biomedical imaging applications. Dr. Fan is a recipient of the 2004 National Science Foundation (NSF) CAREER award and is a Senior Member of IEEE.
Dr. Chris Hutchens received his B.S. in electrical engineering and M.S. in Engineering with an emphasis in Bioengineering from South Dakota State University in 1971 and 1972 respectively and Ph.D. in Electrical Engineering in 1979 from the University of Missouri. He has over 10 years of clinical, industry and government laboratory experience in Biomedical Electronics and Mixed Signal VLSI (MSVLSI), and is among the nations first Certified Clinical Engineers. He is the recipient of multiple DOE and SPAWAR research awards in MSVLSI. Dr. Hutchens' MSVLSI research is focused in low power Analog and RF VLSI for all extreme environments.
Dr. Daqing Piao received his B.S. in physics in 1990 from Tsinghua University, M.S. and Ph.D. both in Biomedical Engineering in 2001 and 2003, respectively, from the University of Connecticut. He has been employed in the industry for 9 years and has 2 years post-doctoral researcher. He is the recipient of a pre-doctoral fellowship from the Department of Defense Breast Cancer Research Program and the best Ph.D. thesis award from the University of Connecticut Engineering School. Dr. Piao's research is focused on improving the accuracy of prostate cancer detection by endoscopic optical tomography methods. Dr. Piao's research is currently funded by Oklahoma Center for the Advancement of Science and Technology (OCAST), and Department of Defense Prostate Cancer Research Program.