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Henry S. Baird Professor
Henry Baird investigates high-performance computer vision and pattern recognition technologies. This Fall (FL12) he plans to offer Independent Study courses. These are individual (single-student) research projects open to highly motivated upperclass undergraduates as well as graduate students (especially M.S. degree candidates). This Spring (SP12), he has been teaching three courses: two on algorithms, one for undergraduates (CSE/Math 340), and the other for graduate students (CSE/Math 441); also, a seminar on machine learning (CSE 498/398), designed principally for graduate students but open (with permission) to advanced undergraduate students.
He
was recently invited to deliver a keynote talk, "Document Recognition
without Strong Models," at the principal conference in his field:
the IAPR 11th Int'l Conf. on
Document
Analysis and Recognition, Beijing, China, September 18-21,
2011. [PaperPDF TalkPPT TalkPDF]   He joined Lehigh in January 2004 after thirty years in industrial research as Principal Scientist and area manager at PARC (Palo Alto, CA), department head and Member of Research Staff at Bell Labs (Murray Hill, NJ), and member of technical staff at RCA Sarnoff Labs (Princeton, NJ). He has published five books and over one hundred technical papers. He holds ten patents. He has been elected Fellow of the IEEE and of the IAPR, and he received an ICDAR Outstanding Contributions Award. He earned a
Ph.D. in EECS from Princeton
Univ. in 1984. He also holds a Masters degree in CS from Rutgers
Univ., and a bachelors in Mathematics from Harvard College. * this email address is in image format to baffle bots. [ April 18, 2012 ] |
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