Classification of blended and single malt Scotch whiskey via smart sensing

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Louisville Section Technical Meeting

Date:  Thursday, May 19, 2022              

Time:  6:00 PM

Location:  IEEE WebEx Virtual Meeting

RSVP to Charlie Waters at cwaters8@gmail.copm

Price:  FREE!!


Well-trained human experts can undoubtedly find the differences between whiskies, but it is still not an easy job for most consumers.  For whisky authentication to become a feasible option for consumers, a rapid and simple on-site authenticity assessment solution, or an electronic nose (e-nose), has been developed.  This talk will introduce a new e-nose prototype (NOS.E) developed by the NOS.E team to identify differences between whiskies.  The discussion will cover both hardware design and classification algorithm development.  It will also discuss the plan to improve the performance of the proposed solution, e.g., a portable carrier gas unit will be introduced in the NOS.E system to isolate the background odors coming from the environmental context.



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  • Date: 19 May 2022
  • Time: 06:00 PM to 08:00 PM
  • All times are (GMT-05:00) US/Eastern
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  • Starts 10 May 2022 03:00 PM
  • Ends 18 May 2022 06:00 PM
  • All times are (GMT-05:00) US/Eastern
  • No Admission Charge


  Speakers

Dr. Steven Su

Topic:

Classification of blended and single malt Scotch whiskey via smart sensing

Well-trained human experts can undoubtedly find the differences between whiskies, but it is still not an easy job for most consumers.  For whisky authentication to become a feasible option for consumers, a rapid and simple on-site authenticity assessment solution, or an electronic nose (e-nose), has been developed.  This talk will introduce a new e-nose prototype (NOS.E) developed by the NOS.E team to identify differences between whiskies.  The discussion will cover both hardware design and classification algorithm development.  It will also discuss the plan to improve the performance of the proposed solution, e.g., a portable carrier gas unit will be introduced in the NOS.E system to isolate the background odors coming from the environmental context.

Biography:

Steven W. Su (M’99-SM’17) received the Ph.D. degree from the Research School of Information Sciences and Engineering, Australian National University, Canberra, Australia, in 2002. He was a Post-Doctoral Research Fellow with the Faculty of Engineering, University of New South Wales, Sydney, NSW, Australia, from 2002 to 2006. He is currently an Associate Professor of University of Technology Sydney, Sydney, Australia. His main research interests are system control and modelling, artificial intelligence, robot-assisted rehabilitation, parameter identification.  Dr. Su is a Senior Member of IEEE, and Co-chair of IEEE ACT and NSW chapter (IEEE Australian Capital Terr & New South Wales Joint Sections Control Systems Society Chapter), Australian. He published 1 book (Advances in Discrete-Time Sliding Mode Control Theory and Applications) and more than 270 international research papers.

Email:

Address:University of Technology Sydney, , Sydney, New South Wales, Australia





  Media

IEEE Technical Meeting Flyer, E-Nose, 5-19-22 232.21 KiB