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 100,000 times.

He is Professor of Professional Practice in both the Mecahnical Engineering and Electrical Engineering departments of Columbia University. He teaches and conducts research in the fields of Control, Signal Processing, and Machine Learning.

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.

Homayoon Beigi earned his Bachelors, Masters, and Doctorate from Columbia University in 1984, 1985 and 1991 respectively. The author of the first and only comprehensive textbook on Speaker Recognition, for over three decades he has been involved in research and development in learning-adaptive control, neural network learning, biometrics, pattern recognition, speech, speaker, face, object, emotion, and language recognition, as well as Internet-Commerce, and more. He has developed the award-winning RecoMadeEasy® Recognition Engine, and the multiple-award winning, CommerceMadeEasy® software. He taught as an Adjunct Professor from 1995 to 2024, teaching graduate level courses in speaker, speech, handwriting and applied aignal aecognition, in the EE, ME, and CS departments of Columbia University and has been advised PhD students in the civil engineering department. He has been on many PhD defense committees in control theory at the ME department. In 2023, he was selected as one of only 11 finalists for the 5 Presidential Awards for Outstanding Teaching across all Columbia University faculty.

He was a Research Staff Member at the IBM T.J. Watson Research Center from 1991 to 2001, working on speaker recognition, automatic speech recognition, natural language processing, search, online handwriting recognition, control, and NN Learning. He developed the SAFE Audio ANSI standard and was an active liaison in the US delegation of the ISO/SC37-JTC1-WG3 and the VoiceXML Forum on Speaker Biometrics. His other research activities include Structural Health Prognosis, Image Compression, Kinematics, Financial Optimization, and Zero-Gravity Fluid Dynamics. His 1000+ page textbook, "Fundamentals of Speaker Recognition," has been downloaded by more than 100,000 times and was voted by Book Authority as the top 100 Computer Science books of all time. He is the recipient of three best paper awards from IEEE and Society of Experimental Mechanics, 13 issued patents and over 100 peer-reviewed publications. He has been the keynote speaker for two international conferences, an Associate Editor of the AutoSoft Journal, Guest Editor of the AutoSoft Journal Special Issue on Learning and Repetitive Control, Editor of the BISC Handwriting Recognition, Senior Member of IEEE, on the Advisory Board of IEEE Spectrum, and 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.

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 Professor of Professional Practice at Mechanical Engineering and Electrical Engineering departments of 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