Stephen E. Russek
1992-present, Research Scientist, NIST, Boulder CO
1990-1992, National Research Council Postdoctoral Fellowship, Superconductor and Magnetic Measurement Group, NIST Boulder, CO
1983-1989, Graduate Research Assistant, School of Applied and Engineering Physics, Cornell University, Ithaca, NY
1980-1982, Senior Technical Associate, AT&T Bell Laboratories, Murray Hill, NJ
Ph.D., Applied and Engineering Physics/Physics, Cornell University, 1990
M.S., Physics, Cornell University, 1985
A.B., Physics, Harvard University, 1980
Stephen E. Russek obtained an A.B. in physics from Harvard University in 1980, spent two years working at AT&T Bell Laboratories researching advanced silicon devices, and then obtained a Ph.D. in physics from Cornell University in 1990 in superconducting devices. He currently leads the Imaging Physics Project in the Magnetic Imaging Group at NIST and codirects the MRI Biomarker Measurement Service. His research interests include the development of MRI standards, nanomagnetic MRI contrast agents, quantitative MRI, superconducting/spintronic devices for advanced digital and neuromorphic applications, artificial intelligence systems for medical imaging reconstruction and diagnosis. He is author/coauthor of over 200 peer-reviewed publications with over 8000 citations, has written several book chapters, has two patents, and is a fellow of the American Physical Society. He is a recipient of the Dept. of Commerce silver medal for his work on spintronics and spin oscillators, a Dept. of Commerce gold medal and Ron Brown award for his work on MRI phantoms and quantitative medical imaging, and the Colorado CO-Labs award for high impact research. He has been the supervisor for over 20 undergraduate/graduate students and postdoctoral fellows. He is an editor of IEEE Tran. Magn., a senior member of IEEE, and an active member of the medical physics group in American Physical Society, the International Society of Magnetic Resonance in Medicine, and the Radiological Society of North America.
Current Research Projects:
- Artificial intelligence systems to reconstruct MRI data and provide analysis and diagnosis.
- Neuromorphic devices and circuits using hybrid spintronics and superconducting devices.
- SI-traceable calibration of parameters in MRI phantoms as part of the MRI Biomarker measurement service. Validation of image-based biomarkers.
- Novel nanomagnetic contrast agents and quantitative imaging techniques.