Peter Doerschuk's research concerns biological and medical systems from the view point of computational nonlinear stochastic systems. In particular, he has contributed to computational inverse problems for biophysics, statistical image processing, and biomedical and speech signal processing. In each of these areas, important goals of his work have been to incorporate accurate physical models while at the same time developing computationally practical algorithms implemented in high-performance software systems.
A wide range of spatial and temporal scales is represented in his research. At the smallest spatial scale, in collaboration with Professor J. E. Johnson (The Scripps Research Institute), he has developed algorithms and parallel software for problems associated with determining the 3-D shape of viruses from electron microscopy images and x-ray scattering data. Parallel software has played a critical role in solving these problems. At the largest spatial scale, in collaboration with Professor S. J. O'Connor (Indiana University School of Medicine), he has developed nonlinear differential equation models of the pharmacokinetics of ethanol. He has used these models to develop signal processing and pattern recognition algorithms and software for processing the outputs of a long-term implanted ethanol sensor system and to determine parameters describing the ethanol-related physiology of an individual from breath ethanol measurements.
On January 1, Peter Doerschuk began a five-year term as Associate Editor for the IEEE Transactions on Image Processing which is a leading journal in the area of signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. The focus of his editorial activities is medical and biological imaging manuscripts.
Before joining Cornell University in July 2006, Peter Doerschuk was on the faculty of Purdue University in Electrical and Computer Engineering and Biomedical Engineering. He received BS, MS, and Ph.D. degrees in Electrical Engineering from MIT and an M.D. degree from Harvard Medical School. After post-graduate training at Brigham and Womens' Hospital he held a post-doctoral appointment at the Laboratory for Information and Decision Systems (MIT) before joining Purdue.
- 2012. "Alcohol Exposure Rate Control through Physiologically-Based Pharmacokinetic Modeling." Alcoholism: Clinical and Experimental Research 36 (6): 1042-1049. .
- 2012. "Three-dimensional reconstruction of the statistics of heterogeneous objects from a collection of one projection image of each object." Journal of the Optical Society of America Series A 29 (5): 959-970. .
- 2012. "Highly scalable methods for exploiting a label with unknown location in order to orient a set of single-particle cryo electron microscopy images." .
- 2012. "3-D reconstruction based on single-particle cryo electron microscopy images as a random signal in noise problem." .
- 2012. "Describing the structure of a macro molecular complex as a random signal in noise and a maximum likelihood reconstruction." .
Selected Awards and Honors
- Ernst A. Guillemin Thesis Prize for the MIT EECS M.Eng. thesis of Keyuan Xu, (MIT EECS) 2004
- The Motorola Excellence in Teaching Award (Purdue University - School of Electrical & Computer Engineering) 2004
- Fellow of the American Institute for Medical and Biological Engineering (AIMBE) (American Institute for Medical and Biological Engineering (AIMBE)) 2003
- University Faculty Scholar (Purdue University) 2002
- Department of Biomedical Engineering Faculty Service Award (Purdue University) 2000
- B.S.E.E Massachusetts Institute of Technology, 1977
- E.E Massachusetts Institute of Technology, 1979
- M.S.E.E Massachusetts Institute of Technology, 1979
- Ph D (Electrical Engineering), Massachusetts Institute of Technology, 1985
- M.D (Medicine), Harvard Medical School, 1987