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UID:10001528-1791894000-1791895800@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: ECE Named Degree Options - Semiconductor engineering or machine learning & data science
DESCRIPTION:Engineering undergraduates! Join us in 2317 Engineering Hall as faculty members explain how you can specialize in emerging technologies such as semiconductor engineering or machine learning and data science and earn a named option on your transcript.  The option uses 20 of the elective credits within the 120-credit Electrical Engineering or Computer Engineering BS degree program to focus on the science\, tools\, and practices associated with either semiconductor engineering or machine learning and data science. \n\n\n\nAll undergraduate students are welcome as Assistant Teaching Professor Eduardo Arvelo\, Assistant Teaching Professor Setareh Behroozi\, and Teaching Faculty Srdjan Milicic discuss the advantages of choosing a named option.  This session is a great opportunity to learn about courses in these areas and where this knowledge can take you. \n\n\n\nCome for the insights\, bring your questions\, and stay for the sandwiches! \n\n\n\n\n\nEduardo Arvelo\n\n\n\n\n\nSetareh Behroozi\n\n\n\n\n\nSrdjan Milicic
URL:https://engineering.wisc.edu/event/ece-discovery-panel-ece-named-degree-options-semiconductor-engineering-or-machine-learning-data-science/
LOCATION:2317 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/06/ECE-Discovery-Panel-Series-Named-Degree-Options.avif
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DTSTART;TZID=America/Chicago:20261013T160000
DTEND;TZID=America/Chicago:20261013T170000
DTSTAMP:20260819T130922Z
CREATED:20260818T185424Z
LAST-MODIFIED:20260819T130922Z
UID:10001560-1791907200-1791910800@engineering.wisc.edu
SUMMARY:CBE Seminar Series: Ying Diao
DESCRIPTION:Professor Ying DiaoDepartment of Chemical and Biomolecular EngineeringUniversity of Illinois\, Urbana-Champaign \n\n\n\n \n\n\n\nAI-guided Closed-loop Learning for Functional Molecule Discovery\n\n\n\n\n\n\n\nClosed-loop discovery of functional molecules represents a new paradigm to new materials discovery. However\, so far\, AI-driven closed-loop discovery approaches have rarely yielded new chemical insight. I am leading a team to address this challenge under the Molecule Maker Lab Institute\, one of the first AI Institutes in US. We connect autonomous synthesis\, autonomous device printing and testing\, and machine learning in a closed loop to drive molecular design of light harvesting small molecules towards high photostability. We combined blind Bayesian Optimization (BO) with physics-based ML models to expand the classical “closed loop optimization” method for a more informative “Closed-Loop Transfer” (CLT) paradigm capable of making scientific discoveries We uncovered a first principles understanding of the molecular determinants of photostability in which the triplet excited state manifold plays a critical role against literature findings. We further applied this strategy to understanding molecular design rules underpinning chiral emergence of conjugated polymers. Such understanding laid the foundation to developing next generation chiral electronics spanning solar cells\, conductors\, spintronics and beyond. At present\, we are working to partner Large Language Model with our closed-loop learning approach towards developing a chemical language model for organic electronics.
URL:https://engineering.wisc.edu/event/cbe-seminar-series-ying-diao/
LOCATION:1610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53706
CATEGORIES:Chemical & Biological Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2023/02/2023_CBE-sem-series-web-header-scaled.webp
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DTSTART;TZID=America/Chicago:20261015T160000
DTEND;TZID=America/Chicago:20261015T170000
DTSTAMP:20260805T194644Z
CREATED:20260805T194641Z
LAST-MODIFIED:20260805T194644Z
UID:10001540-1792080000-1792083600@engineering.wisc.edu
SUMMARY:ME 903 Graduate Seminar: Adam Clare
DESCRIPTION:The ME 903: Graduate Student Lecture Series features campus and visiting speakers who present on a variety of research topics in the field of mechanical engineering. Professor Adam Clare is a professor at The University of British Columbia.
URL:https://engineering.wisc.edu/event/me-903-graduate-seminar-adam-clare/
LOCATION:3M Auditorium\, rm 1106 Mechanical Engineering Building\, 1513 University Ave\, Madison\, 53711
CATEGORIES:Mechanical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2024/08/Event-Graphics-for-Calendar-12-jpg.avif
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DTSTART;TZID=America/Chicago:20261016T120000
DTEND;TZID=America/Chicago:20261016T130000
DTSTAMP:20260820T173321Z
CREATED:20260820T173319Z
LAST-MODIFIED:20260820T173321Z
UID:10001569-1792152000-1792155600@engineering.wisc.edu
SUMMARY:Midwest Mechanics Seminar: Professor Jeff Eldredge
DESCRIPTION:The Midwest Mechanics Seminar Series is a weekly seminar given by campus and visiting speakers on topics across the spectrum of mechanics research (solids\, fluids\, and dynamics). Professor Jeff Eldredge is professor and department chair at UCLA.
URL:https://engineering.wisc.edu/event/midwest-mechanics-seminar-professor-jeff-eldredge/
LOCATION:1610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53706
CATEGORIES:Mechanical Engineering,Seminar
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