BEGIN:VCALENDAR VERSION:2.0 PRODID:-//College of Engineering - University of Wisconsin-Madison - ECPv6.10.2//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL: X-WR-CALDESC:Events for College of Engineering - University of Wisconsin-Madison REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 TZNAME:CDT DTSTART:20250309T080000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0500 TZOFFSETTO:-0600 TZNAME:CST DTSTART:20251102T070000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250314T120000 DTEND;TZID=America/Chicago:20250314T130000 DTSTAMP:20250314T105924 CREATED:20250219T201014Z LAST-MODIFIED:20250305T161307Z UID:10001171-1741953600-1741957200@engineering.wisc.edu SUMMARY:ISyE - Cyber-Manufacturing: Delivering Manufacturing Services Over Web 3.0 DESCRIPTION:Cybermanufacturing enables the shared use of networked manufacturing infrastructure to deliver manufacturing resources on-demand while maximizing capacity utilization\, reducing consumption of natural and material resources\, and reducing costs to product design and manufacturing. This talk will highlight three areas where our group has contributed to the understanding of Cybermanufacturing systems – 1) With the explosive growth of 3D product models\, the data contained in them\, may be used to democratize access and broaden those who are able to engage in product design and manufacturing; 2) Understanding of manufacturing capability available over the entire US through Natural Language Processing (NLP)\, and its interface with Large Language Models (like BERT & GPT-4); 3) Opportunities for a manufacturing two sided service marketplace\, and our laboratory’s work in ‘computational mechanism design’. In the future\, the digital connection across factories will also lead to Manufacturing Networks that are highly agile\, distributed\, and resilient. Emerging digital technologies such as Pervasive Sensing\, Computational Intelligence\, Edge-Fog-Cloud Computing\, Digital Twins\, Smart Automation\, Intelligent Collaborative Robots etc.\, open new possibilities in the design of smart collaborative physical and digital networks of factories. \n\n\n\n\n\nBio: Binil Starly serves as the Founding School Director and Professor in the School of Manufacturing Systems & Networks at Arizona State University\, leading a group of 21 faculty and more than 13 staff within the School. For the Fulton Schools of Engineering\, he leads the Workforce Development strategy for Microelectronics and Advanced Manufacturing. He has over 20 years of experience in digital manufacturing in the areas of intelligent machines\, decentralized manufacturing\, additive manufacturing\, and factory automation. His laboratory is working on technologies that merge the digital and the physical world towards advancing both discrete and continuous manufacturing processes. He has received the National Science Foundation CAREER award for research in bio-additive manufacturing\, SME ‘20 Most Influential Professors in Smart Manufacturing’\, SME Young Manufacturing Engineering Award (2011) and numerous teaching awards. URL:/event/isye-cyber-manufacturing-delivering-manufacturing-services-over-web-3-0/ LOCATION:1163 Mechanical Engineering\, 1513 Engineering Dr.\, Madison\, WI\, 53706\, United States CATEGORIES:Colloquium,Industrial & Systems Engineering ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/starlygraphic.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250404T120000 DTEND;TZID=America/Chicago:20250404T130000 DTSTAMP:20250314T105924 CREATED:20250313T181246Z LAST-MODIFIED:20250313T182219Z UID:10001213-1743768000-1743771600@engineering.wisc.edu SUMMARY:Using Smartwatches to Improve Personal and Population Health DESCRIPTION:Wearable technology such as smartwatches has the potential to transform the management and control of infectious diseases. Smartwatches provide continuous data about an individual’s health (e.g.\, heart rate\, sleep patterns\, physical activity). This data can be exploited to determine when an individual has become infected with a communicable disease\, allowing for treatment of the disease and implementation of disease control measures. This talk presents two studies. The first study uses data from a clinical trial of 4\,795 participants to examine changes and behavior and biomarkers during the diagnostic decision period (the time from infection exposure to testing decisions) for three respiratory diseases. We find that smartwatches can detect infection before individuals are aware of their infection\, and that patients have a delayed response in seeking testing and reducing social contacts. The second study builds on this finding\, developing a mathematical model to assess the potential impact of early smartwatch disease detection on control of communicable diseases. The findings underscore the revolutionary potential of smartwatches to manage seasonal diseases and alter the course of future epidemics. \n\n\n\n\n\nBio: Margaret L. Brandeau is Coleman F. Fung Professor of Engineering and Professor of Health Policy (by Courtesy) at Stanford University. Her research focuses on the development of applied mathematical and economic models to support health policy decisions. Her recent work has examined HIV and drug abuse prevention and treatment programs\, programs to control the opioid epidemic\, and housing programs for persons experiencing homelessness. She is an INFORMS Fellow. From INFORMS\, she has received the Philip McCord Morse Lectureship Award\, the President’s Award\, the Pierskalla Prize (twice)\, and the Award for the Advancement of Women in Operations Research and the Management Sciences. She has also received the Cost-Effectiveness Analysis Registry Paper of the Year Award from the Center for the Evaluation of Value and Risk in Health and the Award for Excellence in Application of Pharmacoeconomics and Health Outcomes Research from the International Society for Pharmacoeconomics and Outcomes Research. At Stanford she has received the Stanford Medicine Integrated Strategic Plan Star Award\, the Eugene L. Grant Faculty Teaching Award from the School of Engineering\, and the Graduate Teaching Award from the Department of Management Science and Engineering. URL:/event/using-smartwatches-to-improve-personal-and-population-health/ LOCATION:1163 Mechanical Engineering\, 1513 Engineering Dr.\, Madison\, WI\, 53706\, United States CATEGORIES:Colloquium,Industrial & Systems Engineering ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/03/Brandeaugraphic.avif END:VEVENT END:VCALENDAR