BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//College of Engineering - University of Wisconsin-Madison - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://engineering.wisc.edu
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
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20260308T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20261101T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20270314T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20271107T070000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260223T120000
DTEND;TZID=America/Chicago:20260223T130000
DTSTAMP:20260406T060625
CREATED:20260121T162037Z
LAST-MODIFIED:20260216T140646Z
UID:10001434-1771848000-1771851600@engineering.wisc.edu
SUMMARY:BME Seminar Series: Shawn M. Gomez\, EngScD
DESCRIPTION:From Cellular Networks to Therapeutic Predictions: A Data-Driven Approach to Precision Medicine\n\n\n\n\n\n\n\nShawn M. Gomez\, EngScDProfessor and Associate Chair for ResearchCo-Executive Director\, FastTaCS\, NC TraCS InstituteLampe Joint Department of Biomedical Engineering at UNC-Chapel Hill and NC State University \n\n\n\nAbstract:Precision medicine aims to tailor prevention\, diagnosis\, and therapy to individual patients’ biological states. We pursue this as a multiscale problem\, combining molecular and systems biology approaches with translational AI methods to improve clinical decision-making. In this talk\, I focus on our systems-level efforts to predict targeted therapeutic responses in cancer. This challenge is particularly acute because despite extensive molecular profiling capabilities\, predicting how therapies affect cellular phenotypes remains a critical barrier to precision oncology. Targeted therapies produce highly variable outcomes due to the adaptive\, networked nature of cellular signaling. Comprising over 500 kinases\, the protein kinome forms the backbone of these networks and represents a central therapeutic target space. However\, predicting how kinome perturbations propagate through cellular systems to shape phenotypic outcomes is a major challenge. My research program addresses this by developing data-driven approaches that link kinase inhibition states to downstream cellular responses\, enabling the rational design of single-agent and combination therapeutic strategies. I will discuss our work building predictive models that forecast cellular responses to kinase-targeted therapies\, validated experimentally across breast and pancreatic cancer cell lines and patient-derived xenograft models. These models integrate large-scale proteomic and multi-omic data within machine learning frameworks to identify key kinases and network features driving therapeutic outcomes. This work illustrates how systems-level modeling translates molecular data into actionable insights for precision medicine. I’ll conclude by highlighting opportunities for research\, educational\, and translational innovation in BME at UW-Madison. \n\n\n\nPrint PDF
URL:https://engineering.wisc.edu/event/bme-seminar-series-5/
LOCATION:1003 (Tong Auditorium) Engineering Centers Building\, 1550 Engineering Drive\, Madison\, WI\, 53706\, United States
CATEGORIES:Biomedical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2024/11/Seminar-Graphic-Fall2024-1.avif
ORGANIZER;CN="Department of Biomedical Engineering":MAILTO:bmehelp@bme.wisc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260223T180000
DTEND;TZID=America/Chicago:20260223T190000
DTSTAMP:20260406T060625
CREATED:20260218T145824Z
LAST-MODIFIED:20260218T200707Z
UID:10001465-1771869600-1771873200@engineering.wisc.edu
SUMMARY:ISyE - Information session with United Airlines
DESCRIPTION:1106 Mechanical Engineering \n\n\n\nUnited Airlines is coming to UW-Madison! Learn more about their company first-hand. This event is hosted by the IISE student organization.
URL:https://engineering.wisc.edu/event/isye-information-session-with-united-airlines/
LOCATION:Wisconsin
CATEGORIES:Industrial & Systems Engineering
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2024/09/Student-Org-Meeting-Info-Session-scaled.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260224T113000
DTEND;TZID=America/Chicago:20260224T123000
DTSTAMP:20260406T060625
CREATED:20260217T151252Z
LAST-MODIFIED:20260220T151455Z
UID:10001463-1771932600-1771936200@engineering.wisc.edu
SUMMARY:ECE RISE-AI Seminar Series: Eshaan Nichani\, Princeton University
DESCRIPTION:Foundations of language models: scaling and reasoning\n\n\n\n\n\n\n\nEshaan Nichani\n\n\n\nAbstract: Modern deep learning methods\, most prominently language models\, have achieved tremendous empirical success\, yet a theoretical understanding of how neural networks learn from data remains incomplete. While reasoning directly about these approaches is often intractable\, formalizing core empirical phenomena through minimal “sandbox” tasks offers a promising path toward principled theory. In this talk\, Nichani will demonstrate how proving end-to-end learning guarantees for such tasks yields a practical understanding of how the network architecture\, optimization algorithm\, and data distribution jointly give rise to key behaviors. First\, they will show how neural scaling laws arise from the dynamics of stochastic gradient descent in shallow neural networks. Next\, they will study how and under what conditions transformers trained via gradient descent can learn different reasoning behaviors\, including in-context learning and multi-step reasoning. Altogether\, this approach builds theories that provide concrete insight into the behavior of modern AI systems. \n\n\n\nBio:Eshaan Nichani is a final-year Ph.D. student in the Electrical and Computer Engineering (ECE) department at Princeton University\, jointly advised by Jason D. Lee and Yuxin Chen. His research focuses on the theory of deep learning\, ranging from characterizing the fundamental limits of shallow neural networks to understanding how LLM phenomena emerge during training. He is a recipient of the IBM PhD Fellowship and the NDSEG Fellowship\, and was selected as a 2025 Rising Star in Data Science. \n\n\n\nLocation details: Discovery Building – Research’s Link\, 2nd floor of Discovery Building (access through glass doors behind information desk)
URL:https://engineering.wisc.edu/event/ece-rise-ai-seminar-series-eshaan-nichani-princeton-university/
LOCATION:Discovery Building\, 330 N. Orchard St.\, Madison\, Wisconsin\, 53715
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260224T122000
DTEND;TZID=America/Chicago:20260224T125000
DTSTAMP:20260406T060625
CREATED:20260109T220951Z
LAST-MODIFIED:20260109T221640Z
UID:10001396-1771935600-1771937400@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: Communications and Networks
DESCRIPTION:Engineering undergraduates! Join us in 1610 Engineering Hall as faculty members explore the technical area of Communications and Networks! All undergraduate students are welcome as Associate Professor Bhuvana Krishnaswamy\, Assistant Teaching Professor Nathan Strachen\, and Professor Daniel van der Weide talk about application ideas\, advanced course electives\, and future job opportunities in this area. It’s a great place to ask your questions about classes and career paths in this exciting ECE field. \n\n\n\nCome for the insights\, stay for the Jimmy John’s sandwiches! \n\n\n\n\n\nBhuvana Krishnaswamy\n\n\n\n\n\nNathan Strachen\n\n\n\n\n\nDaniel van der Weide
URL:https://engineering.wisc.edu/event/ece-discovery-panel-communications-and-networks/
LOCATION:1610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53706
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/01/ECE-Discovery-Panel-Series-.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260226T100000
DTEND;TZID=America/Chicago:20260226T150000
DTSTAMP:20260406T060625
CREATED:20251218T201246Z
LAST-MODIFIED:20260220T210008Z
UID:10001387-1772100000-1772118000@engineering.wisc.edu
SUMMARY:Introduce the Future to Engineering Day
DESCRIPTION:The Department of Nuclear Engineering and Engineering Physics welcomes you to celebrate Introduce the Future to Engineering Day with us! This event gathers high school students from across Wisconsin for a full day of learning about nuclear engineering. Attendees will hear from influential women in the field during a panel discussion\, connect with nuclear engineering students at UW–Madison\, engage with industry professionals\, and tour our experimental research facilities.  \n\n\n\nInterest in nuclear is growing in Wisconsin\, across the country\, and around the world—making this an exciting time to enter the field. As a nuclear engineer\, you could help expand access to clean energy\, diagnose and cure diseases\, design future power plants\, or harness the power of fusion energy. Come discover what nuclear engineering is all about! \n\n\n\n\n\n\n\nLocationThe event will be hosted at the UW–Madison campus in Varsity Hall on the 2nd floor of Union South.  \n\n\n\nVarsity Hall\, Union South1308 W Dayton St\, Madison\, WI 53715 \n\n\n\nEvent OverviewProgramming will take place on Thursday\, February 26\, 2026 from 10:00am – 3:00pm. \n\n\n\n10:00 AM Check-In10:30 AM Panel 11:30 AM Lunch & Group Discussion12:30 PM Interactive Expo1:30 PM Research Lab Tours \n\n\n\nThe panel will feature influential women in the industry\, representing a diverse sample of nuclear career paths. This page will be updated with speaker bios soon. Following the panel\, a lunch buffet will be provided. NEEP students\, faculty members\, and the guest speakers will be seated at tables with the students to facilitate discussion regarding the panel and nuclear engineering in general.  \n\n\n\nAfter lunch\, the industry expo will begin. Students will have the opportunity to meet with industry professionals to learn about careers in nuclear engineering. There will also be several science demonstrations from our student organizations.  \n\n\n\nThe day will conclude with tours of our experimental research facilities including: \n\n\n\n\nUW Nuclear Reactor: a 1 MW TRIGA teaching and research reactor \n\n\n\nPegasus-III Experiment: a spherical tokamak that supports fusion energy research\n\n\n\nIon Beam Laboratory: a particle accelerator used to study the effects of radiation damage on potential reactor materials\n\n\n\nHelically Symmetric eXperiment: a stellarator with unique symmetry that supports fusion energy research\n\n\n\n\nRegistrationTo register your group\, please contact Lili Sarajian at lsarajian@wisc.edu by January 16\, 2026. \n\n\n\nTransportation & ParkingNEEP may be able to provide support for transportation costs. Please reach out to Lili Sarajian at lsarajian@wisc.edu for more information. If you plan to park one or more vehicles on campus for the day\, NEEP can provide daily permits for a parking garage in the vicinity. \n\n\n\nCostBesides parking\, there are no additional costs associated with this event. \n\n\n\n\n\n\n\n\n\n\n\nSponsorshipsIf you or your company is interested in supporting this event through a sponsorship\, please visit this link to submit your gift or contact Lili Sarajian at lsarajian@wisc.edu. All sponsors are invited to host a table during the expo portion of the event to engage with high school students and share about careers in the nuclear industry. Other sponsorship benefits are detailed below: \n\n\n\n\n$500 | General Sponsor\n\nSupport general event costs (e.g.\, space rental and supplies)\n\n\n\nIncludes:\n\nLogo on event promotional materials\n\n\n\nExpo table (If you are interested in sponsoring the event\, we will follow up with more details about the expo and a signup form. You may opt out of the expo if you are unable to attend.)\n\n\n\n\n\n\n\n$1\,000 | Premium Sponsor\n\nSupport transportation costs for high school groups traveling from across southern Wisconsin\n\n\n\nIncludes:\n\nLogo on event promotional materials\n\n\n\nExpo table (If you are interested in sponsoring the event\, we will follow up with more details about the expo and a signup form. You may opt out of the expo if you are unable to attend.)\n\n\n\nA social media shoutout\n\n\n\n\n\n\n\n$2\,000 | Elite Sponsor\n\nSupport meal costs and help us feed some hungry high schoolers! \n\n\n\nIncludes:\n\nLogo on event promotional materials\n\n\n\nExpo table (If you are interested in sponsoring the event\, we will follow up with more details about the expo and a signup form. You may opt out of the expo if you are unable to attend.)\n\n\n\nA social media shoutout\n\n\n\nA company profile in the digital resource guide\n\n\n\n\n\n\n\n\n\n\n\n\nThank you to our sponsors!
URL:https://engineering.wisc.edu/event/introduce-the-future-to-engineering-day/
LOCATION:Wisconsin
CATEGORIES:Nuclear Engineering & Engineering Physics
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2024/02/Introduce-a-Girl-to-Engineering-Day-Bucky-Spectroscope-jpg.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260226T160000
DTEND;TZID=America/Chicago:20260226T170000
DTSTAMP:20260406T060625
CREATED:20260115T155900Z
LAST-MODIFIED:20260226T172746Z
UID:10001404-1772121600-1772125200@engineering.wisc.edu
SUMMARY:ME 903 Graduate Seminar: Professor Evangelos Theodorou
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 Evangelos Theodorou is a professor at Georgia Tech University. \n\n\n\nPresentation Title: Optimization for Decision-Making in the Era of Artificial Intelligence. \n\n\n\nAbstract: Optimization-based decision-making is at the core of autonomy and planning systems with applications in various domains of science and engineering from aerospace systems and robotics to networked and large-scale control. In this talk\, I will give an overview of algorithms for decision-making and discuss use-cases and relevant applications. The topics include stochastic optimization algorithms such as Model Predictive Path Integral Control and its variations with applications to single agent system control\, Distributed Optimization Architectures for multi-agent swarm control in the presence of uncertainty\, and Deep-Learning Aided optimization algorithms for fast and scalable distributed optimization problems. If time permits\, I will also cover stochastic optimal control algorithms with applications in the areas of Generative Artificial Intelligence and diffusions models on graphs. \n\n\n\nBio: Evangelos A. Theodorou is an Associate Professor with the Daniel Guggenheim School of Aerospace Engineering at Georgia Institute of Technology. He is also the director of the Autonomous Control and Decision Systems Laboratory and an Amazon Scholar. Dr. Theodorou is affiliated with the Institute of Robotics and Intelligent Machines and the Center for Machine Learning Research at Georgia Institute of Technology. He holds a BS in Electrical Engineering\, from the Technical University of Crete (TUC)\, Greece in 2001 and three MSc degrees in Production Engineering from TUC in 2003\, Computer Science and Engineering from University of Minnesota in 2007\, and Electrical Engineering from the University of Southern California (USC) in 2010. In 2011\, he graduated with his PhD in Computer Science from USC. From 2011 to 2013\, he was a Postdoctoral Research Fellow with the department of Computer Science and Engineering\, University of Washington. Dr. Theodorou is the recipient of the King-Sun Fu best paper award of the IEEE Transactions on Robotics in 2012 and recipient of several best paper awards and nominations in machine learning and robotics conferences. His research spans the areas of stochastic optimal control theory\, machine learning\, dynamic and distributed optimization with applications to robotics\, autonomy\, and large-scale systems.
URL:https://engineering.wisc.edu/event/me-903-graduate-seminar-professor-evangelos-theodorou-2/
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260226T160000
DTEND;TZID=America/Chicago:20260226T170000
DTSTAMP:20260406T060625
CREATED:20260220T141854Z
LAST-MODIFIED:20260224T191536Z
UID:10001470-1772121600-1772125200@engineering.wisc.edu
SUMMARY:ECE Semiconductor Materials Seminar Series: Dr. Kuangye Lu
DESCRIPTION:Seamless Monolithic 3D Heterogeneous Integration Enabled by Advanced Epitaxy\n\n\n\n\n\n\n\nAbstract: Three-dimensional heterogeneous integration (3D heterointegration) is emerging as the leading approach to enhancing performance in the field of microelectronics. However\, this method often relies on complex wafer-to-wafer bonding processes\, which introduce alignment challenges and interfacial defects. Alternatively\, heteroepitaxy offers another route for implementing 3D heterointegration but suffers from material degradation due to defects and strain caused by lattice and thermal mismatches.In this talk\, I will introduce three new epitaxy paradigms designed to address the key limitations of current 3D heterointegration processes. First\, I will discuss Remote Epitaxy\, which enables wafer-scale exfoliation of ultra-thin membranes across a broad range of materials. By leveraging a 2D interlayer\, these membranes can be transferred and monolithically 3D (M3D) integrated onto arbitrary substrates with ultra-high throughput and low cost\, effectively addressing the challenges associated with wafer-to-wafer bonding. I will then present 2D-Assisted Heteroepitaxy\, a technique that significantly reduces and\, in some cases\, eliminates defects in heteroepitaxy through strain relaxation mechanism at the 2D/3D interface. This advancement enhances materials quality and device performance over conventional heteroepitaxy\, broadening opportunities for M3D heterointegration. Lastly\, I will introduce single-crystal materials growth on amorphous substrates\, which is made possible with a bold substrate design and carefully engineered materials growth conditions\, offering an entirely new scheme of M3D heterointegration.Building on these epitaxy paradigms\, I will demonstrate various novel (opto)electronic devices as examples of their applications\, including fabrication of world’s smallest micro-LED pixels (based on Remote Epitaxy)\, defect-free direct growth of III-V on silicon for next-generation optoelectronic applications (based on 2D-Assisted Heteroepitaxy)\, and advanced 3D stacking of 2D transistors (based on single-crystal materials growth on amorphous substrates). I will conclude the talk with a perspective on future materials development that could enable innovations across advanced 3D logic/memory\, XR\, energy\, and quantum information\, driven by new devices built upon advances in M3D heterointegration. \n\n\n\nDr. Kuangye Lu\n\n\n\nBio: Dr. Kuangye Lu is currently a Postdoctoral Associate at the Research Laboratory of Electronics\, Massachusetts Institute of Technology (MIT). He earned his Ph.D. in Mechanical Engineering from MIT in 2023 under the supervision of Prof. Jeehwan Kim\, and earned a B.S. with honors in Physics from Zhejiang University (ZJU) in 2018.His research focuses on the invention and development of advanced epitaxy techniques for compound semiconductors and 2D materials\, as well as their heterointegration for device fabrication and applications. These efforts include the monolithic 3D integration of high-quality III-V optoelectronic devices on silicon\, reconfigurable AI chips\, and transistors engineered for next-generation advanced nodes.Dr. Lu has authored peer-reviewed articles in high-impact journals\, including Nature\, Nature Nanotechnology\, and Nature Electronics. He is the recipient of the Chu Ko-Chen Scholarship\, the highest honor for graduates of ZJU\, and the MIT Shangzhi Wu Fellowship. Additionally\, Dr. Lu has served as a conference organizer of Advanced Epitaxy of Freestanding Membranes and 2D Materials (AEFM) Conference and a Review Editor for Frontiers in Energy Research. He also serves as a reviewer for journals including Nature Chemical Engineering\, Science Advances\, and Nano Letters.
URL:https://engineering.wisc.edu/event/ece-semiconductor-materials-seminar-series-dr-kuangye-lu/
LOCATION:4610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website-2.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260227T120000
DTEND;TZID=America/Chicago:20260227T130000
DTSTAMP:20260406T060625
CREATED:20260120T211424Z
LAST-MODIFIED:20260226T172842Z
UID:10001420-1772193600-1772197200@engineering.wisc.edu
SUMMARY:Mechanics Seminar: Professor Wonmo Kang
DESCRIPTION:The 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 Wonmo Kang is a professor at Arizona State University. \n\n\n\nPresentation Title: Mechanisms Behind Enhanced Electrical and Mechanical Properties in Graphene–Metal Composites \n\n\n\nAbstract: Graphene–metal composites are widely regarded as promising candidates for high-performance electrical conductors as well as advanced structural and functional applications\, owing to graphene’s exceptional electron mobility\, mechanical strength\, and thermal conductivity. To leverage these attractive properties\, small graphene flakes are often dispersed within a macroscopic metal matrix to form bulk composites. However\, this approach intrinsically introduces discontinuous interfaces between the nanoscale carbon reinforcements and the much larger metal matrix\, which hinder efficient load transfer and limit performance gains. In this regard\, this talk investigates how both graphene continuity and quality influence the electrical and mechanical performance of graphene–metal composites. Using axially bi-continuous graphene–copper wires\, we achieve a 41% reduction in electrical resistivity and a 450% increase in current-carrying capacity compared to pure copper. We further show that this architecture enables enhanced mechanical\, thermal\, and anti-oxidation performance. Notably\, axially bi-continuous graphene–nickel wires break the traditional strength–ductility trade-off\, achieving an exceptional combination of both. Finally\, I will discuss our ongoing efforts toward high-throughput\, cost-effective manufacturing of macroscopic graphene–metal composites with continuous graphene networks. \n\n\n\nBio: Wonmo Kang is an associate professor in the School for Engineering of Matter\, Transport and Energy at Arizona State University (ASU). He received his Ph.D. in 2012 with the Outstanding Mechanical Engineering PhD Award from the University of Illinois at Urbana-Champaign. Before joining ASU\, he was a research scientist at the US Naval Research Laboratory. His current research includes graphene-metal composites for multifunctional applications\, in situ material characterization\, nano/bio-mechanics\, and NEMS/MEMS/bioMEMS. Dr. Kang has published his work in leading scientific journals including Advanced Materials\, Advanced Functional Materials\, Small\, Nano Letters\, and Acta Biomaterialia. Dr. Kang is the recipient of several awards/fellowships including the National Science Foundation CAREER Award\, the ASME Rising Stars of Mechanical Engineering Award\, the postdoctoral fellowship from the American Society for Engineering Education\, and the Leidos technical publication awards.
URL:https://engineering.wisc.edu/event/mechanics-seminar-professor-wonmo-kang/
LOCATION:1227 Engineering Hall\, 1415 Engineering Drive\, Madison\, WI\, 53706\, United States
CATEGORIES:Mechanical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2024/08/Event-Graphics-for-Calendar-11-jpg.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260227T120000
DTEND;TZID=America/Chicago:20260227T130000
DTSTAMP:20260406T060625
CREATED:20260211T205013Z
LAST-MODIFIED:20260211T205140Z
UID:10001458-1772193600-1772197200@engineering.wisc.edu
SUMMARY:ISyE - Cognitive engineering for higher education – A view from both sides of design
DESCRIPTION:Photographer: Meredith Forrest Kulwicki\n\n\n\nUW-ISyE looks forward to welcoming Ann Bisantz\, a SUNY Distinguished Professor of Industrial and Systems Engineering at the University at Buffalo\, where she also serves as Vice Provost and Dean for Undergraduate Education. \n\n\n\nUS institutions of higher education are large\, complex systems affected by both internal and external factors\, answering to multiple stakeholders with often conflicting goals; which must be managed in the face of short-and long-term uncertainties and limited resources; and where there is substantial risk – both for individuals impacted by the system (i.e.\, students) and arguably for society writ large\, if they fail in their missions. They are examples of “intentional” systems – where constraints and priorities are drawn from human-created structures rather than physical laws. Increasingly\, these systems are managed\, at least in part\, through data reporting and analyses which bring together variables of interest across functions and at multiple scales. Creating meaningful reports and visualizations of these complex data sets in support of decision-makers is a critical function of a modern university. \n\n\n\nMethods of cognitive engineering have been used across a variety of complex\, high risk systems to support design of automation\, information displays\, and decision-support tools. Frameworks such as cognitive work analysis provide models to reveal both the demands stemming from the work domain\, as well as the knowledge\, skills and strategies that experts bring to bear on those demands. Typically\, these methods are used prospectively\, are inputs to a larger system design process. \n\n\n\nThis presentation combines expertise in higher education administration with a cognitive engineering research perspective to inform a work domain model of one significant university sub-system\, undergraduate education administration\, drawing parallels with a well-studied health care system. It proposes a process of visualization co-creation as an alternative work-centered approach to successful design of decision-support tools\, and concludes with shared lessons learned from a comparison of this just-in-time approach to design based in prospective analysis and modelling. \n\n\n\n\n\nBio: Dr. Bisantz is a SUNY Distinguished Professor of Industrial and Systems Engineering at the University at Buffalo\, which she also serves as Vice Provost and Dean for Undergraduate Education. Her contributions to the field of human factors engineering include investigating new techniques for displaying complex and uncertain information to decision makers; supporting the transition in complex work domains from legacy and manual information systems to more integrated\, supportive IT systems; modeling human judgment and decision making; extending cognitive engineering methods which can be used to model complex human-technology work domains; and understanding aspects of human trust in automated systems. This research has been conducted in a number of complex work environments\, including health care\, military systems\, emergency management\, and transportation; and has included interdisciplinary collaborations with researchers in health care and information fusion. She has been PI or CoI on over 15M in funded research projects from agencies including the National Science Foundation\, Agency for Healthcare Research and Quality\, and numerous defense agencies. Bisantz is the past recipient of an NSF CAREER award\, was recognized with a SUNY Chancellor’s Award for Research and Creative Activity\, and is a Fellow of the Human Factors and Ergonomics Society (HFES). She has served as an Associate Editor or on the Editorial Board of a number of journals and has served HFES as a member-at-large of the Executive Council. She is the recipient of the HFES Fitts’ Education award for her contributions to human factors education and was the 2020 HFES WOMAN Mentor of the year. She is past chair of the UB ISE department and since 2018 has served the UB as Vice Provost and Dean\, where she is responsible for university-wide leadership for undergraduate education\, including curriculum\, policy\, student success\, advising coordination\, general education\, undergraduate research\, and the UB Honors College. In 2024 Bisantz was appointed to the National Academy of Engineering Board on Human-System Integration. Her PhD is from the Georgia Institute of Technology.
URL:https://engineering.wisc.edu/event/isye-cognitive-engineering-for-higher-education-a-view-from-both-sides-of-design/
LOCATION:1163 Mechanical Engineering\, 1513 Engineering Dr.\, Madison\, WI\, 53706\, United States
CATEGORIES:Colloquium,Industrial & Systems Engineering
ATTACH;FMTTYPE=image/png:https://engineering.wisc.edu/wp-content/uploads/2026/02/bisantz.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260228T160000
DTEND;TZID=America/Chicago:20260228T180000
DTSTAMP:20260406T060625
CREATED:20260218T150424Z
LAST-MODIFIED:20260224T160345Z
UID:10001466-1772294400-1772301600@engineering.wisc.edu
SUMMARY:ISyE - Volunteer with IISE
DESCRIPTION:Ronald McDonald House\, Madison \n\n\n\n \n\n\n\nJoin us to make dinner for families at the Ronald McDonald House in Madison. They provide a “home-away-from-home” for families with seriously ill or injured children\, offering free or low-cost lodging\, meals\, and support near hospitals. \n\n\n\nSpace is limited\, contact wnorquist@wisc.edu to participate.
URL:https://engineering.wisc.edu/event/isye-volunteer-with-iise/
LOCATION:2716 Marshall Court\, Madison\, Ronald McDonald House\, Madison\, 53711
CATEGORIES:Industrial & Systems Engineering,Student Org Event
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2023/10/Student-voluntter-event-jpg-webp.webp
END:VEVENT
END:VCALENDAR