The Ultimate Convergence of Engineering and the Application of Knowledge Across Different Disciplines Dr. Homayoon Beigi
Engineers begin with a general education and quickly specialize, first in a department and further into specialties. Having worked on many different engineering research projects for the past 4 decades, a more objective perspective has shown the convergence of even the most detailed research elements in most of these disciplines into an encompassing umbrella, which allows for the application of the gained knowledge across different research and development problems. Relations among different disciplines at play in the ME, EE, CS, and Civil engineering disciplines will be presented over such cross-discipline applications of technology. Examples are provided in signal processing, machine learning, information theory, probability and statistics, optimization, neural network learning, structural and machine health monitoring, control theory, speech processing, financial engineering, etc.
Homayoon Beigi earned his BS, MS, and PhD 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 Neural Network Learning, Learning-Adaptive Control, Machine Learning, Biometrics, Pattern Recognition, Machine and Structural Health Monitoring, Speech, Speaker, Face, Object, Emotion, and Language Recognition, as well as Internet-Commerce, and more. He has developed the award-winning RecoMadeEasy® Speaker Recognition and the multiple-award-winning
CommerceMadeEasy® software. He has been an Adjunct Professor since 1995, teaching graduate level Speaker, Speech, Handwriting and Applied Signal Recognition, as well as Control Systems courses at the CS, ME, and EE departments of Columbia University and has been advising PhD students in the civil engineering department. In 2023, he was selected as one of only 11 finalists for 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 includes Structural Health Prognosis, Image Compression, Kinematics, Financial Optimization, and Zero-Gravity Fluid Dynamics. His 1000+ page textbook, "Fundamentals of Speaker Recognition," has been downloaded 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 reviewer for 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.
Zoom Link:
https://columbiauniversity.zoom.us/j/97841815084?pwd=cHL575P1B5SS5QIJ2ykoDjeaKOKERd.1
