[Quantum-ms] [Seminar] DSI X EE: 4/24 2:30pm, EE Conference Room

[Columbia EE Events]

Hi all, just a reminder this event is happening today at 2:30pm in EE
conference room.

On Mon, Apr 21, 2025 at 10:23 Columbia EE Events <ee-events at ee.columbia.edu>
wrote:

> *“Sense, Collect and Move Data” Data Science Institute Center *
>
> *X*
>
> * Electrical Engineering Department Seminar*
>
>
> *Speaker:* Homayoon Beigi
> *Title: *Structural and Machine Health Monitoring Derived from Speaker
> Recognition Techniques
>
> *Time: **2:30 pm, Thursday, April 24*
>
> *Location:* EE Conference Room, Mudd 1300 (also via* zoom
> <https://columbiauniversity.zoom.us/j/95258817687?pwd=lfsGRZPqAP0NQHphYbA5CmDVhg99kq.1 >*;
> Passcode: 061263)
>
> *Host*: Debasis Mitra
>
>
> *Abstract:* The latest advancements in structural health monitoring of
> bridges and machinery have a lot of in common with speaker recognition
> techniques.  Starting out as a mechanical engineer and having done
> considerable amount of machine health monitoring and prognosis in the
> mid-1980s, as well as neural network learning, control and signal
> processing, the speaker moved on to work in the handwriting, speaker,
> speech recognition fields, making a connection among these fields and
> health monitoring.  The similarities of these fields are explored and a
> summary of the research of the last decade in conjunction with the civil
> engineering department of Columbia University are discussed.  Cepstral
> analysis and deep neural networks originally designed for speaker and
> speech recognition are at the heart of the techniques that are in this
> research effort that began over a decade ago.  Realizing the similarities
> in the vibration of structures, such as bridges and buildings, machinery,
> such as gear-meshes and bearings, and the human vocal tract kicked off this
> multi-disciplinary effort. Some techniques developed in this approach are
> shown together with results for health monitoring and structural damage
> detection. The current affiliates in this research, Raimondo Betti (Prof.
> of Civil Eng.), Azin Mehrjoo (PostDoc), and Kyle Hom (4th year Doctoral
> Student) will be at the seminar and available for discussions.
>
>
>
> *Bio:* Homayoon Beigi is a Professor of Professional Practice in the
> departments of mechanical engineering and electrical engineering.  He
> earned his BS, MS, and Doctorate from Columbia 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, speech, speaker, face, object, emotion, and language
> recognition, as well as Internet-Commerce, and more.  As the president of
> Recognition Technologies, Inc. for 22 years, he developed the multiple
> award-winning RecoMadeEasy®  Recognition Engine and CommerceMadeEasy®
> software.  As an Adjunct Professor at Columbia for thirty years, he taught
> in the ME, EE, and CS departments and advised PhD students in civil. In
> 2023, he was selected as one of only 11 finalists for the 5 Presidential
> Awards for Outstanding Teaching.  He was a Research Staff Member at the IBM
> T.J. Watson Research Center from 1991 to 2001, working on handwriting,
> speaker and speech recognition. He is the recipient of three best paper
> awards from IEEE and Society of Experimental Mechanics, 13 issued patents
> and over 120 peer-reviewed publications.
>
>
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