David P. Rancour
Associate Professor
Electrical and Computer Engineering
University of Massachusetts Dartmouth
United States of America
Biography
Dr. David P. Rancour is Associate Professor of Electrical Engineering at the University of Massachusetts Dartmouth. He has a B.S. in Electrical Engineering (Computer Engineering option) from the University of Vermont, an M.S. in Electrical Engineering (E/M fields and Digital Signal Processing) from Northeastern University, and a Ph.D. in Electrical Engineering (Solid State Devices & Materials) from Purdue University.
Research Interest
Dr. Rancour’s research interests have centered on defects in semiconductors. He has recently developed a theoretical model for a new defect characterization technique. Computer simulations show the new method to be more than 1000 times more sensitive than the standard technique. He has investigated defects in Gallium Arsenide epitaxial thin films, and has served as a consultant to M/A-COM, Inc., Burlington Semiconductor Operations, conducting defect characterization experiments on silicon PIN diodes. As a United States Air Force officer, Dr. Rancour managed the engineering portions of an Air Force procurement contract for a ground based radar system. He was responsible for controls/displays and computer hardware. He also assisted in the design, fabrication, and testing of a TTL-based Optical Mark Reader for an Air Force research laboratory. Dr. Rancour has designed LCD fuel gauge display layouts for Simmonds Precision, and he has fabricated and tested a TTL-based wafer stepper interface for IBM. Dr. Rancour is a member of the Institute of Electrical and Electronics Engineers, Electron Devices Society.
Publications
-
Michel, Howard & Rancour, David. (2005). Using Heat Plumes in Controlled Breathing as Non-Contact Assistive Technology.. Proceedings of the 2005 International Conference on Computers for People with Special Needs, CPSN'05. 63-69.
-
Michel, Howard & Awwal, Abdul & Rancour, David. (2006). Artificial Neural Networks Using Complex Numbers and Phase Encoded Weights—Electronic and Optical Implementations. 486-491. 10.1109/IJCNN.2006.246721.
-
Michel, Howard & Awwal, Abdul & Rancour, David. (2006). Artificial Neural Networks Using Complex Numbers and Phase Encoded Weights—Electronic and Optical Implementations. 486-491. 10.1109/IJCNN.2006.1716132.
