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DTSTART;TZID=America/Chicago:20260323T120000
DTEND;TZID=America/Chicago:20260323T130000
DTSTAMP:20260404T131946
CREATED:20260121T162320Z
LAST-MODIFIED:20260316T202428Z
UID:10001437-1774267200-1774270800@engineering.wisc.edu
SUMMARY:BME Seminar Series: Christopher Konop\, PhD
DESCRIPTION:How Serious Fun (and Mild Panic) Led Me from Academia to Venture Innovation\n\n\n\n\n\n\n\nChristopher Konop\, PhDInnovation and Commercialization SpecialistIsthmus ProjectUW Health \n\n\n\nAbstract:Most scientific careers don’t follow a straight line—and mine certainly didn’t. I’ve moved from academia to startups\, consulting\, and eventually venture innovation. I’ll share a few brief stories from building WiSolve\, stepping into life‑science consulting\, and helping develop the Isthmus Project to spark conversation and address the career-development questions that are top of mind for graduate students and postdocs. I’m glad to offer practical insights\, hot tips\, and lessons learned along the way. Spoiler: none of it would have been possible without great mentors and a generous network. \n\n\n\nPrint PDF
URL:https://engineering.wisc.edu/event/bme-seminar-series-8/
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:20260323T150000
DTEND;TZID=America/Chicago:20260323T160000
DTSTAMP:20260404T131946
CREATED:20260313T134115Z
LAST-MODIFIED:20260323T153320Z
UID:10001494-1774278000-1774281600@engineering.wisc.edu
SUMMARY:ECE SEMICONDUCTOR MATERIALS SEMINAR SERIES: Dr. Mihir Pendharkar
DESCRIPTION:Closing the Loop: Shrinking Materials Discovery Cycles for the Quantum Era\n\n\n\n\n\n\n\nAbstract:  As utility-scale quantum computing appears on the horizon\, the field faces a scaling challenge comparable in magnitude to the pursuit of artificial general intelligence. Success in this endeavor hinges on reducing decoherence by improving materials systems at the fundamental electronic device scale — the single-qubit level — and\, crucially\, developing tools that enable rapid experimental feedback. This talk explores two paradigms where shrinking the characterization loop has catalyzed breakthroughs in quantum materials as well as materials for quantum hardware. \n\n\n\nThe first part focuses on the development of high-mobility III-V semiconductor quantum wells and quantum wires (nanowires). By optimizing the integration of superconductors with these low-dimensional electron systems\, we have realized the high-quality hybrid interfaces necessary for topological quantum computing. I will highlight how rapid feedback was the primary driver for achieving proof-of-concept devices. \n\n\n\nIn the second part\, I will address the “imaging bottleneck” in 2D moiré heterostructures. While these systems offer a rich playground for correlated quantum physics\, the inability to rapidly visualize moiré superlattices has historically limited materials optimization. I will present the development of Torsional Force Microscopy (TFM)\, a technique that enables the visualization of moiré landscapes in minutes\, bypassing the need for weeks-long cryogenic transport measurements. \n\n\n\nFinally\, I will put forward a vision for improved materials\, device geometries\, and rapid feedback techniques that can be ported to superconducting qubit platforms\, with the hope of providing a boost to bridge the gap between laboratory prototypes and useful quantum computers. \n\n\n\nDr. Mihir Pendharkar\n\n\n\nBio: Mihir Pendharkar is a researcher at Stanford University\, where he works with Prof. David Schuster on advancing materials for superconducting qubit-based quantum computing. As a Q-FARM Bloch Postdoctoral Fellow working with Prof. David Goldhaber-Gordon\, Mihir developed Torsional Force Microscopy (TFM) to image moiré superlattices and atomic lattices in 2D materials. This imaging technique has since been adopted by four major AFM manufacturers and dozens of research institutions worldwide. Mihir earned his MS and PhD in Electrical and Computer Engineering from University of California\, Santa Barbara working with Prof. Chris Palmstrom\, where his doctoral research specialized in Molecular Beam Epitaxy (MBE) of superconductor-semiconductor hybrid heterostructures for Majorana Zero Mode-based topological quantum computation.
URL:https://engineering.wisc.edu/event/ece-semiconductor-materials-seminar-series-dr-mihir-pendharkar/
LOCATION:3609 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:20260324T120000
DTEND;TZID=America/Chicago:20260324T130000
DTSTAMP:20260404T131946
CREATED:20260227T163616Z
LAST-MODIFIED:20260324T120233Z
UID:10001478-1774353600-1774357200@engineering.wisc.edu
SUMMARY:ECE SEMICONDUCTOR MATERIALS SEMINAR SERIES: Dr. Alex Honghyuk Kim
DESCRIPTION:Development of Novel III–V Semiconductor Heterostructures: Overcoming Physical Limits\n\n\n\n\n\n\n\nAlex Honghyuk Kim\n\n\n\nAbstract: Recent advances in the epitaxial growth of III–V compound semiconductors have enabled high-performance electronic and photonic devices. However\, conventional III–V and III–N material systems remain fundamentally limited by intrinsic physical and chemical constraints\, including substrate-dependent lattice and bandgap properties. These limitations hinder progress in emerging applications such as neuromorphic photonics\, monolithic integration with silicon photonics\, and full-color micro-LED arrays. In this talk\, strategies to overcome these intrinsic limitations will be discussed\, with a focus on the development of novel III–V compound semiconductor material systems enabled by precise control of lattice mismatch\, phase stability\, and miscibility gaps. The role of metalorganic vapor phase epitaxy (MOVPE) in kinetic material design will be highlighted\, together with the realization of chemically and physically metastable III–V heterostructures beyond conventional epitaxial limits. \n\n\n\nBio: Alex Honghyuk Kim is an Assistant Professor in the School of Semiconductor Convergence Engineering at Hanyang University\, South Korea. He received his Ph.D. in Electrical and Computer Engineering from the University of Wisconsin–Madison\, where his research focused on the epitaxial growth of III–V compound semiconductors for advanced optoelectronic applications. His research interests include MOVPE-based epitaxy of III–V compound semiconductor materials\, metastable heterostructures\, and the design and characterization of advanced optoelectronic devices. Prior to joining Hanyang University\, he held research positions at Lumileds LLC\, Northwestern University\, and the Korea Photonics Technology Institute. He has authored and coauthored over 30 peer-reviewed journal papers and currently serves as a co-principal investigator on multiple nationally funded semiconductor research projects.
URL:https://engineering.wisc.edu/event/ece-semiconductor-materials-seminar-series-dr-alex-honghyuk-kim/
LOCATION:2355 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:20260324T160000
DTEND;TZID=America/Chicago:20260324T170000
DTSTAMP:20260404T131946
CREATED:20260320T193426Z
LAST-MODIFIED:20260320T193430Z
UID:10001500-1774368000-1774371600@engineering.wisc.edu
SUMMARY:CBE Seminar Series: Carl D. Laird
DESCRIPTION:Carl D. LairdJohn E. Swearingen Professor and Department HeadCarnegie Mellon UniversityPittsburgh\, Pennsylvania  \n\n\n\nSystems\, Surrogates\, Solutions: Optimization and Machine Learning for Decision-Making at Scale\n\n\n\n\n\n\n\nEmerging global challenges are pushing the limits of today’s scientific computing tools. To overcome these barriers\, our group develops open-source solutions for large-scale optimization problems. At the intersection of data science and mathematical programming\, new capabilities support optimization-based decision-making with embedded machine-learning and data-driven models. Leveraging high-level languages like Python\, we are democratizing these capabilities\, placing powerful tools in the hands of a broader research community. Two vignettes illustrate the effectiveness of these capabilities to tackle challenging science and engineering problems at scale. \n\n\n\nThe first vignette highlights our rapid-response work during COVID-19. The pandemic exposed significant challenges in mitigating emerging infectious diseases. I will discuss our work to efficiently estimate county-level transmission parameter dynamics using a fully-coupled\, national-scale model. With full spatio-temporal transmission parameter profiles\, we were able to estimate the impact of non-pharmaceutical interventions on the spread of COVID-19. Our current work focuses on developing accessible\, advanced optimization capabilities that enable inference on very large-scale\, nonlinear dynamic systems.  \n\n\n\nMachine learning (ML) models are increasingly used as surrogates for complex processes within engineering. Here\, I will discuss the need for surrogates in large-scale decision-making and introduce the Optimization and Machine Learning Toolkit (OMLT)\, a Python framework developed in collaboration with Imperial College London and Sandia National Laboratories. This package supports solution of mathematical programming problems with embedded ML models. I will showcase several applications that illustrate the use of machine learning surrogates\, including for example\, process design and operations\, bioprocess modeling\, and process family design. We will discuss our most current work on the use of conformal methods for optimization under uncertainty and advanced decomposition approaches for training hybrid models.
URL:https://engineering.wisc.edu/event/cbe-seminar-series-carl-d-laird/
LOCATION:Wisconsin
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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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260326T120000
DTEND;TZID=America/Chicago:20260326T130000
DTSTAMP:20260404T131946
CREATED:20260319T135955Z
LAST-MODIFIED:20260319T135958Z
UID:10001499-1774526400-1774530000@engineering.wisc.edu
SUMMARY:ECE RISE-AI SEMINAR SERIES: Dr. Andrew Wagenmaker
DESCRIPTION:Physical Agents that Learn from Experience\n\n\n\n\n\n\n\nAbstract: Humans fundamentally learn through interaction with the physical world\, yet modern AI-based approaches in robotics rely primarily on learning from static\, offline sources of data. While this approach has enabled exciting capabilities in some domains\, it has proven notoriously difficult to scale to the demands of fully open-world autonomy.  \n\n\n\nDr. Andrew Wagenmaker\n\n\n\nIn this talk\, I will investigate how we can overcome the limitations of learning with only static data sources\, and enable robots to learn from experience as they interact with the physical world. In particular\, I will consider how we can collect the experience—explore—that allows for learning and improvement\, and how the limited sources of data that are often available to us in the physical world—simulators and human demonstrations—can enable this. I will consider how simulators\, even coarse simulators that are insufficient for obtaining effective task-solving policies\, can enable efficient exploration\, and how the resulting exploration allows for learning performant task-solving robotic behaviors. I will then show how generative robot policies trained on human demonstrations can be utilized to achieve highly focused exploration and enable fast online improvement\, and how we can pretrain generative policies on human demonstrations that can themselves collect the experience necessary to learn and improve. Across these examples\, I will argue that the insights gained through rigorous analysis are key to uncovering the algorithmic approaches that enable learning from experience\, and ultimately bringing AI to the physical world. \n\n\n\nBio: Andrew Wagenmaker is a postdoctoral scholar in Electrical Engineering and Computer Sciences at UC Berkeley working with Sergey Levine. Previously\, he completed a PhD in Computer Science at the University of Washington\, where he was advised by Kevin Jamieson. Andrew’s research focuses on learning in dynamic\, interactive settings\, spanning fundamental algorithm development to practical approaches for real-world learning and decision-making\, particularly toward enabling efficient learning in robotic systems. His work has been recognized by a Best Paper nomination at the Conference on Robot Learning\, and he is a recipient of the NSF Graduate Research Fellowship.
URL:https://engineering.wisc.edu/event/ece-rise-ai-seminar-series-dr-andrew-wagenmaker/
LOCATION:Orchard View Room – Third Floor – Discovery Building\, 330 N. Orchard St.\, Madison\, 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:20260326T160000
DTEND;TZID=America/Chicago:20260326T170000
DTSTAMP:20260404T131946
CREATED:20260116T194600Z
LAST-MODIFIED:20260324T154848Z
UID:10001413-1774540800-1774544400@engineering.wisc.edu
SUMMARY:ME 903 Graduate Seminar: Laura Grossenbacher
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 Laura Grossenbacher is the Director of Technical Communication with the College of Engineering at UW-Madison. \n\n\n\nTitle: Navigating Ethical Challenges in Mechanical Engineering Research and Industry Contexts: Strategies for Ethical Leadership – and Followership \n\n\n\nAbstract: This workshop will provide a brief background on engineering ethics challenges and the behavioral science that suggests we must think both with and beyond a Code of Ethics to deal with the moral ambiguities that can emerge in complex workplace contexts\, including in university research labs and large engineering organizations. We will explore questions that engineering leaders should ask themselves – but also some “followership” strategies for those engineers who are not yet leaders.My hope is to engage the ME 903 students in discussion of a couple of unique cases to practice voicing\, listening\, and productively responding to the values of their peers. \n\n\n\nBio: Laura Grossenbacher is Director of Undergraduate Program Review and Director of the Technical Communication Program in the College of Engineering at the University of Wisconsin-Madison. She holds a Ph.D. from the University of Texas at Austin and has been teaching courses in engineering communication and ethics for over twenty-five years to both undergraduates and graduate students in the UW Madison College of Engineering. Since year 2012 she has been developing ethics cases for use with a variety of different Professional Engineering groups\, including engineers working for the Wisconsin Department of Transportation\, the Wisconsin Department of Natural Resources\, American Transmission Company\, Madison Gas and Electric\, WE Energies\, Realtime Utility\, the Milwaukee Metropolitan Sewerage District\, and the American Water Resources Administration; she has also held ethics workshops for the Wisconsin Structural Engineering Code Refresher Annual Conference\, the Wisconsin Concrete Pavement Association\, the Wisconsin Society for Landscape Architects\, and the American Society for Heating\, Refrigerating and Air Conditioning Engineers. \n\n\n\nHer ethics workshops are designed to engage engineers and other professionals in discussing and applying codes of ethics\, moral theory\, and behavioral science to practical cases.She is a member of the Association for Practical and Professional Ethics (APPE)\, and a current co-chair\, with Rider Foley\, of the Online Ethics Center Community of Practice in Teaching Engineering Ethics. Her most recent conference workshops have been for the annual ABET Symposium and at the American Society for Engineering Education on using applied ethics cases to interrogate challenges with power and inclusivity.
URL:https://engineering.wisc.edu/event/me-903-graduate-seminar-professor-dakotah-thompson/
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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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260327T100000
DTEND;TZID=America/Chicago:20260327T110000
DTSTAMP:20260404T131946
CREATED:20260317T143742Z
LAST-MODIFIED:20260317T143950Z
UID:10001495-1774605600-1774609200@engineering.wisc.edu
SUMMARY:ECE QUANTUM ENGINEERING SEMINAR SERIES: Dr. Yun Zhao
DESCRIPTION:Microresonator-based quantum photonics\n\n\n\n\n\n\n\nYun Zhao\n\n\n\nAbstract: As the only quantum information carrier at atmospheric pressure and temperature\, photons play a versatile role in the quantum information ecosystem. Recent progress in fabricating high-quality-factor microresonators has enabled unprecedented control of photons through nonlinear optical interactions. Here\, I will focus on optical squeezing\, which is a foundational process in both photonic quantum metrology and computing. I will first discuss the generation of squeezed vacuum states on a CMOS-compatible platform. Then I will present a fundamentally new way of applying optical squeezing in optical frequency metrology\, with applications in optical frequency division and narrow-linewidth lasers. Finally\, I will briefly discuss other micro- resonator-based applications\, including quantum frequency conversion and spatial light modulation. \n\n\n\nBio: Yun Zhao is currently a postdoc at Stanford University in the Applied Physics department\, advised by Prof. Amir Safavi-Naeini. He earned his PhD in Electrical Engineering from Columbia University\, advised by Prof. Alexander Gaeta. He has broad research interests in quantum and nonlinear photonics. His work spans optical squeezing\, Kerr frequency comb\, frequency conversion\, optical frequency division\, and spatial light modulation\, etc. He served as the postdoctoral community chair for the DOE Codesign Center for Quantum Advantage in 2023 and 2024 and hosted a webinar series for the center’s graduate students and postdocs.
URL:https://engineering.wisc.edu/event/ece-quantum-engineering-seminar-series-dr-yun-zhao/
LOCATION:2534 Engineering Hall\, 1415 Engineering Drive\, Madison\, Wisconsin\, 53706\, United States
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-1.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260327T120000
DTEND;TZID=America/Chicago:20260327T130000
DTSTAMP:20260404T131946
CREATED:20260120T212420Z
LAST-MODIFIED:20260324T154711Z
UID:10001424-1774612800-1774616400@engineering.wisc.edu
SUMMARY:Mechanics Seminar: Professor Xiangru Xu
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 Xiangru Xu is a professor at UW-Madison. \n\n\n\nTitle: Safe Control for Learning-Enabled Autonomous Systems \n\n\n\nAbstract: This talk presents recent advances in provably safe control for learning-enabled autonomous systems. In the first part\, I will discuss reachability analysis and controlled invariance of neural network control systems. I will introduce methods for safety verification and safe control synthesis based on forward and backward reachable set computations using constrained and hybrid zonotopes\, together with an interval-based invariance operator for computing the maximum controlled invariant set. In the second part\, I will present hierarchical safe control architectures that integrate a high-level optimization-based motion planner with a low-level safety filter\, providing formal guarantees of continuous-time safety constraint satisfaction. I will demonstrate their effectiveness through two case studies: safe trajectory planning and tracking for quadrotors\, and occlusion-free visual servoing of robotic manipulators. \n\n\n\nBio: Xiangru Xu is an Assistant Professor in the Department of Mechanical Engineering at the University of Wisconsin-Madison. He received his Ph.D. from the Chinese Academy of Sciences and held postdoctoral positions at the University of Michigan and the University of Washington. He is a recipient of the NSF CAREER Award and the Best New Application Paper Award from IEEE Transactions on Automation Science and Engineering. He currently serves as an Associate Editor for IEEE Transactions on Automatic Control\, Control Theory and Technology\, and Autonomous Intelligent Systems\, and is a member of the IEEE Control Systems Society Conference Editorial Board.
URL:https://engineering.wisc.edu/event/mechanics-seminar-professor-xiangru-xu/
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
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