[Quantum-ms] [Seminar] DSI X EE: Today 2:30pm, EE Conference Room & Zoom
Xintian Tina Wang
xw2729 at columbia.edu
Thu Apr 24 14:10:02 EDT 2025
Hi all, this event has now moved to *CEPSR 750*. Sry for the inconvenience.
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On Thu, Apr 24, 2025 at 10:47 AM Xintian Tina Wang <xw2729 at columbia.edu>
wrote:
> Hi all, this event is also via* zoom
> <https://columbiauniversity.zoom.us/j/95258817687?pwd=lfsGRZPqAP0NQHphYbA5CmDVhg99kq.1 > (*Passcode:
> 061263) if you'd like to opt in virtually.
>
> ************************************************************************
>
> *LEGAL NOTICE * *This message (including any attachments) contains
> confidential information which may be legally privileged. If you are not
> the intended recipient of this message, you are hereby notified that any
> disclosure, copying, or distribution of this message, or the taking of any
> action based on its content, is strictly prohibited. If you received this
> message in error, please immediately notify the sender by e-mail and delete
> this message from your system. Thank you.*
>
> ************************************************************************
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>
> On Thu, Apr 24, 2025 at 8:00 AM Columbia EE Events <
> ee-events at ee.columbia.edu> wrote:
>
>> 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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