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UID:0-5357@eng.ufl.edu
DTSTART;TZID=America/New_York:20220916T150000
DTEND;TZID=America/New_York:20220916T160000
DTSTAMP:20251201T183405Z
URL:https://www.eng.ufl.edu/news-events/events/abe-seminar/
SUMMARY:ABE Seminar
DESCRIPTION:Title:\nCan in-process sensing\, and machine learning deliver I
 ndustry 4.0 to the food and drink sector?\nPresented By: Dr. Nik Watson\, 
 Associate Professor\nUniversity of Nottingham\, UK\nDepartment of Chemical
  and Environmental Engineering\nAbstract:\nDigital technologies are transf
 orming manufacturing sectors across the globe but what role will they play
  within food and drink? Will they provide benefits relative to their costs
  and can they really provide positive economic\, social and environmental 
 outcomes? In this talk Nik will begin with a brief history of digital manu
 facturing within the UK and the unique challenges the food and drink secto
 r provides for digital technology adoption. He will then focus on the pote
 ntial of combining in-process measurements with machine learning\, coverin
 g some of the key opportunities and challenges. Then he will present sever
 al case studies from his group of combining sensors measurements and machi
 ne learning and finish with a future outlook.\nAbout Dr. Nik Watson:\nNik
 ’s research is primarily focused on data driven in-process sensing to de
 liver sustainable\, safe and productive current and future food manufactur
 ing systems. Data-driven sensing combines cost-effective in-process sensor
 s (e.g. optical and ultrasonic) with machine learning techniques and overc
 omes many of the challenges associated with utilizing sensors to produce a
 ctionable information to monitor processes (e.g. mixing\, cleaning\, and f
 ermentation) and materials (e.g. online quality and safety inspection) wit
 hin challenging manufacturing environments. Nik has broader expertise and 
 research interests in Digital Manufacturing within the food and drink sect
 or with projects exploring the use of data and digital technologies includ
 ing robotics and the Industrial Internet of Things.\nZoom Registration Req
 uired at:\nhttps://go.ufl.edu/abenikwatson
CATEGORIES:Seminars
LOCATION:Frazier Rogers Hall Room 122\, 1741 Museum Road \, Gainesville \, 
 FL \, 32611\, United States
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=1741 Museum Road \, Gainesv
 ille \, FL \, 32611\, United States;X-APPLE-RADIUS=100;X-TITLE=Frazier Rog
 ers Hall Room 122:geo:0,0
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DTSTART:20220313T030000
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