Associate Professor and Assocaite Chair for CpE
ELECTRICAL AND COMPUTER ENGINEERING
Missouri University of Science and Technology
United States of America
"R. Joe Stanley received the B.S.E.E. and M.S.E.E. and Ph.D. degrees in computer engineering and computer science from the University of Missouri-Columbia, Columbia, MO, USA, in 1998. On completing his doctoral study, he was an Engineering Specialist with Systems and Electronics, Inc., St. Louis, MO, working on imaging techniques. He is currently an Associate Chairman for computer engineering and an Associate Professor of electrical and computer engineering at the Missouri University of Science and Technology, Rolla, MO, USA. His research interests include data fusion, signal and image processing, computational intelligence, medical informatics, and automation Education 1994-1998 Ph.D. Computer Engineering and Computer Science, Graduated May 1998 University of Missouri, Columbia, MO Dissertation Title: Data-Driven Homologue Matching for Chromosome Identification Advisor: Dr. James Keller 1993-1994 M.S. Electrical Engineering, Graduated December 1994 University of Missouri, Columbia, MO Thesis Title: Feature Stability Analysis for Chromosome Identification Advisor: Dr. James Keller 1987-1992 B.S. Electrical Engineering, Minor in Mathematics, Graduated December 1992 University of Missouri, Columbia, MO Summa Cum Laude "
" Image and signal processing Computational intelligence Data fusion Automation Bioinformatics Computer-assisted medical diagnostic aids Non-destructive evaluation for structural health monitoring "
S. De, K. Gupta, *R.J. Stanley, R. Zoughi, K. Doering, D. Van Aken, G. Steffes, M.O’Keefe, D. Palmer, “A comprehensive multi-modal NDE data fusion approach for failure assessment in aircraft lap-joint mimics,” IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 4, pp. 814-827, 2013.
B. Cheng,*R.J. Stanley, W.V. Stoecker, C.T.P. Osterwise, S.M. Stricklin, K.A. Hinton, R.H.Moss, M. Oliviero, H.S. Rabinovitz,“Automatic dirt trail analysis in dermoscopy images,”Skin Research and Technology,vol. 19, pp.e20-26, 2013.
B. Cheng, *R.J. Stanley, W.V. Stoecker, S.M. Stricklin, K.A. Hinton, T.K. Nguyen, R.K. Rader, H.S. Rabinovitz, M. Oliviero, R.H. Moss, “Analysis of clinical and dermoscopic features for basal cell carcinoma neural network classification,” Skin Research and Technology, vol. 19, e217- e222, 2013.