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Biography
Homayoon S.M. Beigi, holds three employment positions. For the past few years, he has conducted research and development in the fields of Biometrics, Pattern Recognition and Internet-Commerce. His work as the Vice President of Internet Server Connetions, Inc. includes the development of the multiple-award winning Commerce Made Easy®, an elaborate Electronic Commerce system used world-wide. As the President of Recognition Technologies, Inc., he is conducting research toward the production of a series of Speaker Recognition and Signature Recognition software engines. In addition as Adjunct Professor of Mechanical Engineering, he is teaching a graduate course, "Applied Signal Recognition and Classification (ME-E6620y)" at the mechanical engineering department of Columbia University. In the late 1990s, as an Adjunct Associate Professor, he taught Digital Control Systems (E4601y), a joint effort in Electrical and Mechanical Engineering departments. As an Assistant Professor of Electrical Engineering in the mid 1990s he taught Speech and Handwriting Recognition (E6820). Homayoon Beigi
received his B.S., M.S.
and D.Eng.Sc. degrees from the Department of Mechanical Engineering at
Columbia University in 1984,
1985 and 1990 respectively. His Doctoral thesis was on Learning Control
and Neural Network Learning. He worked on lossless image compression at
the Center for Telecommunication Research at Columbia University for 6
months after receiving his Doctorate degree and joined the Handwriting
Recognition Group at IBM T.J. Watson Research
Center followed by the Speech Recognition Group in New York in February of 1991 where he held the position
of Research Staff Member until February of 2001 working on Handwriting, Speaker
and Speech Recognition research problems in depth. At the present he is the
President of
Recognition Technologies, Inc. in Yorktown Heights, NY and the
Vice President of
Internet Server Connections, Inc., White Plains, NY. In addition, he
holds a position as an Adjunct Professor at the School of
Engineering
of Columbia University, teaching Applied Signal Recognition, Control,
Speech and Handwriting Recognition.
His Speech Course was also being distributed in Video through
the Columbia Video
Network. Homayoon Beigi has been the recipient of
two best paper awards from the Institute of Electrical and Electronic Engineers
(IEEE) for his work in Neural Network Learning. He is an Associate Editor
of the
Intelligent Automation and Soft Computing Journal, the Editor
for the handwriting recognition chapter of
the
Berkeley Initiative in Soft Computing, and Executive Committee
Member of the Society for Technological
Advancement in Developing Countries. He is also a Senior Member of the
IEEE and a member of the
Advisory Board Committee of the IEEE
Spectrum Magaznie. At IBM Research, he worked on all aspects of
Multimedia Search, speech, speaker and handwriting recognition research such
as architecture, preprocessing and
front-end, classification, search, language models, training, etc. He has also
been actively conducting research in Control Theory and Neural Network
Learning.
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