Dr. Daniel Stork obtained a B.S. degree in Physics from Massachusetts Institute of Technology (MIT) and a M.S. in Physics from the University of Maryland, College Park. He matriculated from the University of Maryland, College Park in 1984 with a Ph.D. in physics. His doctoral thesis, “Determination of symmetry and phase in human visual response functions: Theory and experiments,” was written under the advisement of Prof. David Falk. He holds 40 US patents relating to topics varying from visual physics and speech recognition systems to speech extraction and color encoding systems, and holds the honor of Ricoh Junior Patent Master (2008). Dr. Stork has authored over 120 publications, and he has written 10 complete books, including Seeing the Light: Optics in nature, photography, color vision and holography (Wiley), which leads among textbooks for artistic optics, and Computer image analysis in the study of art (SPIE) and Computer vision and image analysis of art (SPIE), which are both considered the first books within the discipline at large. He has been selected as Fellow of the International Association of Pattern Recognition (2008), and is currently a Senior member of both the Institute of Electronics and Electrical Engineers (IEEE) and the Association for Computing Machinery (ACM). He has worked as a member of several international journal editorial boards and delivered nearly 300 seminars, lectures, and conference presentations. He was awarded the title Distinguished Lecturer by the Association of Computing Machinery (1998-1999). Dr. Stork has held academic appointments or taught at Stanford University in over 5 different departments. In addition, he has held faculty positions at Wellesley College, Swarthmore College, Clark University, and Boston University in various science and mathematics departments. Dr. Stork has devoted time to developing an appreciation for the arts as well as the sciences, studying art history at Wellesley College and subsequently became Artist-in-Residence through the New York State Council of the Arts. Dr. Stork has held corporate positions in addition to his faculty positions with Neural Ware (Chief Scientist), Neural Applications Corporation (Scientific Advisory Board), and Ricoh Innovations (Senior Research Scientist). He currently is employed by Ricoh Innovations as Chief Scientist.*
Selected Publications by Stork
- Prasad, K.V., Stork D.G., Wolff G. (1993) Preprocessing video images for neural learning of lipreading. Ricoh California Research Center, Technical Report CRC-TR-93-26.
- Stork D.G., Wolff G. & Levine E. (1992) Neural network lipreading system for improved speech recognition. Ricoh California Research Center, Technical Report CRC-TR-92-01.
- Stork, D. G., Wolff, G., & Levine, E. (1992) Neural network lipreading system for improved speech recognition. Proceedings of the 1992 International Joint Conference on Neural Networks, Baltimore, MD.