Biography

For an extended, independent biography, please see the following report, H. Memarian, "Homayoon Beigi: See a Broad View of Different Fields", Iranian Americans' Contributions Project (IACP), Sep. 12, 2018

Short Biography

Since the mid-1980s, Homayoon Beigi (see homepage) has conducted research and development in the fields of Biometrics, Optimization, Pattern Recognition, Machine Learning, and Internet-Commerce. His work, as the President of Recognition Technologies, Inc., has included research and development, leading to the production of a series of Speaker Recognition, Speech Recognition, Face Recognition, and Signature Recognition software engines. He is the author of the first and only textbook on speaker recognition, "Fundamentals of Speaker Recognition," published by Springer, the electronic version of which has been downloaded more than 80,000 times.

As the Vice President of Internet Server Connetions, Inc. he has developed the multiple-award winning Commerce Made Easy®, an elaborate Electronic Commerce system used world-wide.

In addition, since 1995, he has been an Adjunct Professor, at the Computer Science department, as well as Mechanical Engineering and Electrical Engineering departments of Columbia University , he has been teaching the following graduate courses, "Fundamentals of Speech Recognition (COMS-E6998)," "Mathematics of Machine Learning and Signal Recognition (COMS-W4995)," "Fundamentals of Speaker Recognition (COMS-E6998-005)," "Digital Control Systems (EEME-E4601y)," "Applied Signal Recognition and Classification (ME-E6620y)", and "Speech and Handwriting Recognition (EE-E6820x)," which was also being distributed in Video through the Columbia Video Network. In 2023, he was selected as one of only 11 finalist for 5 Presidnetial Awards for Outstanding Teaching across all Columbia University faculty.

Homayoon Beigi has also been actively involved in several standards bodies. He has been an active liaison in the US delegation of the ISO/SC37-JTC1-WG3. He has also been a active liaison and the driving force behind the Audio Format for ANSI/INCITES M1 (Biometric Data Interchange Format) committee. In addition, he has been an active liaison in the VoiceXML Forum committe on Speaker Biometrics.

Homayoon Beigi received his Bachelors, Masters, and Doctorate 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 after receiving his Doctorate degree and then 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 South Salem, NY and the Vice President of Internet Server Connections, Inc., NY. In addition, he holds a position as an Adjunct Professor at the School of Engineering of Columbia University.

Homayoon Beigi has been the recipient of three best paper awards, two from the IEEE) for his work in Neural Network Learning and one from the the Socirt of Experimental Mechanics for applying audio techniques to structural health monitoring. He has 13 issued patents and over 100 peer-reviewed publications. He has been 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 an 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. He is on the technical review committees of the Pattern Recognition Journal, IEEE PAMI, IEEE Transactions on NN, IET Signal Processing Journal, the International Journal of Control, AIAA Journal, ICASSP, Interspeech, and more.

AtIBM 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.


Homayoon Beigi