TMR 173 : Dr. Robert J. Marks II : Interview Notes

RobertJMarksIIDr. Robert J. Marks II evo info

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"Robert J. Marks II is Distinguished Professor of Engineering in the Department of Engineering at Baylor University, USA. His professional awards include a NASA Tech Brief Award and a best paper award from the American Brachytherapy Society for prostate cancer research. He is Fellow of both IEEE and The Optical Society of America. His consulting activities include Microsoft Corporation, DARPA, and Boeing Computer Services. He is listed as one of "The 50 Most Influential Scientists in the World Today" by (2014). His contributions include: the Zhao-Atlas-Marks (ZAM) time-frequency distribution in the field of signal processing, and the Cheung Marks theorem in Shannon sampling theory. Marks’s research has been funded by organizations such as the National Science Foundation, General Electric, Southern California Edison, the Air Force Office of Scientific Research, the Office of Naval Research, the United States Naval Research Laboratory, the Whitaker Foundation, Boeing Defense, the National Institutes of Health, The Jet Propulsion Lab, Army Research Office, and NASA. He has written or contributed to many books, including Handbook of Fourier Analysis and Its Applications (Oxford University Press), Introduction to Shannon Sampling and Interpolation Theory (Springer Verlag), and Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks (Rus Reed, MIT Press), The Handbook of Brain Theory and Neural Networks (Michael Arbib, MIT Press, 1996), and Evidence for God (Michael Licona et al., Baker Books, 2010). Marks has edited/co-edited five other volumes in fields such as power engineering, neural networks, and fuzzy logic. He was instrumental in defining the discipline of computational intelligence (CI) and is a co-editor of the first book using CI in the title: Computational Intelligence: Imitating Life (IEEE Press, 1994). Marks has also authored/co-authored hundreds of peer-reviewed conference and journal papers."




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Podcast theme music, Chillout Me, kindly provided by Antony Raijekov, from his Jazz U compilation (CC BY-NC 2.5)

Slide show image: "Unlimited Detail" by Mikael Hvidtfeldt Christensen on Flickr (CC BY 2.0); aspect ratio altered


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