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DTSTART;TZID=America/Chicago:20260323T120000
DTEND;TZID=America/Chicago:20260323T130000
DTSTAMP:20260404T172758
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:20260404T172758
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:20260404T172758
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:20260404T172758
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260326T120000
DTEND;TZID=America/Chicago:20260326T130000
DTSTAMP:20260404T172758
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:20260404T172758
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260327T100000
DTEND;TZID=America/Chicago:20260327T110000
DTSTAMP:20260404T172758
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:20260404T172758
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260406T120000
DTEND;TZID=America/Chicago:20260406T130000
DTSTAMP:20260404T172758
CREATED:20260121T162400Z
LAST-MODIFIED:20260326T213522Z
UID:10001438-1775476800-1775480400@engineering.wisc.edu
SUMMARY:BME Seminar Series: Natasah Seybani\, PhD
DESCRIPTION:Bench-to-Bedside Engineering of Precision Immunotherapy Paradigms with Focused Ultrasound\n\n\n\n\n\n\n\nNatasha Sheybani\, PhDAssistant Professor of Biomedical EngineeringResearch Director at UVA Focused UltrasoundImmuno-Oncology (FUSION) CenterUniversity of Virginia \n\n\n\nAbstract:Immunotherapy has revolutionized cancer treatment\, but significant limitations remain across solid tumor indications. This talk will highlight advances in the use of image-guided focused ultrasound (FUS) as a non-invasive\, multi-pronged interventional tool for potentiating multiple classes of immunotherapy\, including vaccine adjuvants\, checkpoint inhibitors\, and CAR T cells. We will showcase integration of non-invasive surveillance approaches such as positron emission tomography (PET) and liquid biopsy with FUS to inform precision\, adaptation\, and de-intensification of combinatorial treatment regimens. We will also showcase development of novel image-guided ultrasound instrumentation toward these objectives. Applications spanning high-risk breast cancer and adult/pediatric brain cancers will be discussed. Finally\, this talk will overview clinical translation and insights from first-in-human trials investigating FUS for immuno-oncology applications. \n\n\n\nPrint PDF
URL:https://engineering.wisc.edu/event/bme-seminar-series-9/
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:20260407T000000
DTEND;TZID=America/Chicago:20260407T000000
DTSTAMP:20260404T172758
CREATED:20251002T133320Z
LAST-MODIFIED:20260320T144535Z
UID:10001316-1775520000-1775520000@engineering.wisc.edu
SUMMARY:POSTPONED - ECE Distinguished Speaker Seminar Series: Professor Seth Ariel Tongay
DESCRIPTION:This event has been postponed. We look forward to hosting Professor Tongay for our 2026-2027 Distinguished Speaker Seminar Series. \n\n\n\n\n\n\n\nPushing the Limits of 2D Janus Layers\n\n\n\n\n\n\n\nAbstract:Named after the two faced Roman God Janus\, 2D Janus layers contain two different atomic types on its top and bottom faces. Previous theoretical studies have shown that broken mirror symmetry together with large change transfer across the top and bottom face opens up completely new quantum properties including Rashba effect\, colossal Janus field\, dipolar excitons\, and Skyrmion formation. Despite the theoretical advances in the field\, experimental results are still limited due to limitations in high quality 2D Janus layer synthesis. In this talk\, I will introduce recent discoveries made at Arizona State University towards different types of Janus layers. The growth process relies on Plasma enhanced low pressure chemical vapor deposition (PE-LPCVD). With this all room temperature technique\, our team can synthesize different Janus layers as well as their vertical / lateral heterojunctions\, and Janus nanoscrolls. Further studies from our team will introduce on-demand fabrication of 2D Janus layers with unique in-situ growth capabilities that allows us to collect spectroscopy data during the course of Janus material growth. Results are presented along with microscopy\, spectroscopy\, high – pressure studies\, and electronic transport datasets for complete understanding of these systems. \n\n\n\nProfessor Seth Ariel Tongay\n\n\n\nBio:Professor Seth Ariel Tongay is an internationally recognized materials scientist and engineer whose research bridges fundamental discoveries and real-world manufacturing of next-generation semiconductors. He serves as one of the research directors of College of Engineering at Arizona State University\, home to the largest engineering college in the United States.Prof. Tongay’s research focuses on lab-to-fab integration of emergent semiconductor materials\, addressing key challenges in metal interconnects\, stress liner technologies\, and advanced device architectures such as FinFETs and gate-all-around (GAA) transistors. He is particularly known for his seminal contributions to two dimensional (2D) materials\, including Janus semiconductors and the discovery of quasi-one- dimensional (quasi-1D) layered systems.He has published over 350 peer-reviewed papers and holds an h-index of 86\, reflecting his high impact across materials science\, nanotechnology\, and semiconductor physics. His work has been recognized with the Presidential Early Career Award for Scientists and Engineers (PECASE)\, NSF CAREER Award\, and fellowships from the American Physical Society\, Royal Society of Chemistry\, and the Institute of Physics.Prof. Tongay is also an associate editor for Applied Physics Reviews (AIP) and npj 2D Materials and Applications (Nature). His research is supported by the CHIPS Act\, NSF\, DOE\, ARO\, and industry leaders including Intel and Applied Materials.
URL:https://engineering.wisc.edu/event/ece-distinguished-speaker-seminar-series-prof-seth-ariel-tongay/
LOCATION:Wisconsin
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/09/Distinguished-Speaker-Seminar-Series-3.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260407T160000
DTEND;TZID=America/Chicago:20260407T170000
DTSTAMP:20260404T172758
CREATED:20260326T134206Z
LAST-MODIFIED:20260326T134209Z
UID:10001504-1775577600-1775581200@engineering.wisc.edu
SUMMARY:CBE Seminar Series: Kayla Sprenger
DESCRIPTION:Kayla SprengerUniversity of Colorado BoulderBoulder\, CO \n\n\n\nTowards Modeling Antibody–Virus Coevolution and Escape: Integrating Evolutionary Modeling\, Molecular Dynamics Simulations\, and Interpretable Machine Learning\n\n\n\n\n\n\n\nIn the Rationally Designed Immunotherapeutics and Interfaces (RDI) Lab\, we integrate computational modeling\, immuno-engineering\, molecular biophysics\, and machine learning to understand—and ultimately control—how immune systems respond to rapidly evolving viral pathogens. A key challenge in designing vaccines against such pathogens is engineering immunogens that elicit broadly neutralizing antibodies (bnAbs)\, which target conserved regions of viral surface proteins and thereby bind diverse viral variants. Yet\, even the most potent bnAbs isolated from infected individuals to date have proven susceptible to escape by viral mutations that weaken or abolish bnAb binding. Notably\, neutralization datasets frequently reveal escape mutations at sites distal to the antibody-bound epitope\, suggesting that allosteric and epistatic effects play a key role in modulating binding. In most cases\, the mechanistic basis by which these distal mutations confer escape remains poorly understood\, limiting our ability to design vaccine immunogens or antibody-based therapeutics that are resistant to escape mutations. \n\n\n\nTo address this gap\, this talk will highlight our use of evolutionary frameworks to model B cell affinity maturation against static sequences of HIV-1–derived immunogens administered via time-varying immunization protocols. This approach enables us to understand how different vaccine strategies shape antibody lineages and guide them toward broadly neutralizing responses. In parallel\, coupling these models of immune evolution with dynamic viral fitness landscapes enables identification of escape pathways that may be exploited in vivo\, thus informing the iterative design of immunogens and immunization strategies capable of eliciting fully escape-resistant bnAbs. To further resolve the mechanistic basis of escape\, this talk will also describe our use of atomistic molecular dynamics simulations and interpretable machine learning to characterize how distal mutations propagate dynamical changes through the structure of HIV-1’s Envelope (Env) spike protein to abrogate antibody binding and neutralization. Complementing these structural insights\, we have developed an interpretable protein language model framework trained on HIV-1 sequence data and bnAb neutralization profiles. This framework identifies context-dependent mutational effects that rewire long-range residue-level communication networks governing antibody sensitivity. Together\, our work provides a mechanistic foundation for designing next-generation immunogens against highly mutable pathogens like HIV-1\, as well as antibody-based therapeutics that are more robust to rapid viral evolution.
URL:https://engineering.wisc.edu/event/cbe-seminar-series-kayla-sprenger/
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260409T113000
DTEND;TZID=America/Chicago:20260409T123000
DTSTAMP:20260404T172758
CREATED:20260330T210830Z
LAST-MODIFIED:20260402T130501Z
UID:10001505-1775734200-1775737800@engineering.wisc.edu
SUMMARY:ECE RISE-AI SEMINAR SERIES: Dr. Omar Chehab
DESCRIPTION:Toward efficient inference in complex systems\n\n\n\n\n\n\n\nAbstract: I will present a line of work on efficient inference in complex systems\, spanning both the foundations of machine learning and applications to brain imaging data. The talk is organized around two complementary directions.  \n\n\n\nIn the first part\, I will study modern algorithms for sampling\, estimating normalizing constants\, and estimating likelihoods. These methods often rely on a probability path that connects a complex target distribution to a simple base distribution\, such as a Gaussian. I will highlight fundamental limitations of classical approaches\, and show how path-guided algorithms can substantially improve efficiency. I will also discuss principled strategies for designing these probability paths\, explaining when and why such methods succeed. \n\n\n\nIn the second part\, I will turn to machine learning algorithms that are applied in neuroscience\, presenting recent results on learning representations and discovering causal structure from brain imaging data. This line of work is a step toward using machine learning to obtain new scientific insights. \n\n\n\nI will conclude with open questions in the field and future directions at the intersection of generative modeling\, sampling\, and their scientific applications. \n\n\n\nOmar Chehab\n\n\n\nBio: Omar Chehab is a postdoctoral researcher in the Machine Learning Department at Carnegie Mellon University. He completed his graduate training in France\, earning a PhD in Mathematical Computer Science at Inria under the supervision of Aapo Hyvärinen and Alexandre Gramfort\, followed by a postdoctoral position in the Statistics Department of ENSAE/CREST with Anna Korba. \n\n\n\nHis research focuses on principled methods for efficient inference from complex probability distributions. This includes estimating likelihoods from data\, generating samples from unnormalized densities\, as well as learning representations and discovering causal structure from brain imaging data. His work draws on a range of modern methods\, including diffusion models\, annealed MCMC\, score matching\, multi-view independent component analysis\, and noise-contrastive estimation. More broadly\, he studies these algorithms through the lens of computational and statistical efficiency\, aiming to understand their fundamental limits and guide their design. \n\n\n\nHe regularly publishes at leading machine learning conferences such as NeurIPS\, ICML\, and ICLR\, where his work has been recognized with a spotlight and top reviewer awards. \n\n\n\nLocation details: Discovery Building – Room 2329\, 2nd floor of Discovery Building (access through glass doors behind information desk)
URL:https://engineering.wisc.edu/event/ece-rise-ai-seminar-series-omar-chehab/
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/2025/02/Rising-Stars-Seminars-Plain.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260409T160000
DTEND;TZID=America/Chicago:20260409T170000
DTSTAMP:20260404T172758
CREATED:20260115T163008Z
LAST-MODIFIED:20260115T163011Z
UID:10001408-1775750400-1775754000@engineering.wisc.edu
SUMMARY:ME 903 Graduate Seminar: Professor Riley Barta
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 Riley Barta is a professor at Purdue University.
URL:https://engineering.wisc.edu/event/me-903-graduate-seminar-professor-riley-barta/
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:20260410T120000
DTEND;TZID=America/Chicago:20260410T130000
DTSTAMP:20260404T172758
CREATED:20260120T212617Z
LAST-MODIFIED:20260324T154612Z
UID:10001425-1775822400-1775826000@engineering.wisc.edu
SUMMARY:Mechanics Seminar: Professor Ricardo Vinuesa
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 Ricardo Vinuesa is a professor at Michigan University. \n\n\n\nTitle: Explainable deep learning and foundation models: control and scientific discovery \n\n\n\nAbstract: In this seminar we discuss a unified framework that combines explainable deep learning\, deep reinforcement learning (DRL) and foundation models to advance both understanding and control of turbulence\, with direct implications for accelerated design and discovery. First\, we will show how explainable deep learning techniques can be used to identify the flow features that are truly responsible for key turbulent processes in wall-bounded flows. By systematically interrogating trained neural networks\, we uncover the most influential coherent structures driving momentum transport and drag. Our results reveal that classically studied structures (while important) provide only a partial and sometimes misleading perspective\, motivating a more data-driven and physics-aware view of turbulence organization. Building on these insights\, we will demonstrate how deep reinforcement learning can be used to actively control turbulent flows by targeting the dynamically relevant structures identified through explainability. This approach achieves over 30% drag reduction in canonical wall-bounded turbulence and extends naturally to more complex configurations\, including turbulent wings\, highlighting the scalability of learning-based control strategies. Finally\, we will introduce a foundation-model-based framework for accelerated design\, optimization and scientific discovery. By learning compact\, interpretable latent representations of high-dimensional flow physics\, these models (combined with agentic-AI systems) enable rapid exploration of design spaces\, causal reasoning and closed-loop optimization\, bridging the gap between expensive simulations\, control and engineering decision making. Together\, these results illustrate how explainable and agentic AI are becoming essential for turbulence physics\, flow control and next-generation engineering design. \n\n\n\nBio: Dr. Ricardo Vinuesa is the Associate Chair for Research and an Associate Professor at the Department of Aerospace Engineering\, University of Michigan. He studied Mechanical Engineering at the Polytechnic University of Valencia (Spain)\, and he received his PhD in Mechanical and Aerospace Engineering from the Illinois Institute of Technology in Chicago. His research combines numerical simulations and data-driven methods to understand\, control and predict complex wall-bounded turbulent flows\, such as the boundary layers developing around wings and the flow in urban environments. Dr. Vinuesa has received\, among others\, an ERC Consolidator Grant\, the Harleman Lecture Award\, the TSFP Kasagi Award\, the MST Emerging Leaders Award\, the Goran Gustafsson Award for Young Researchers\, the IIT Outstanding Young Alumnus Award and the SARES Young Researcher Award. He received the Outstanding Reviewer Prize of the Journal of Fluid Mechanics and he is also a member of the Young Academy of Science of Spain.
URL:https://engineering.wisc.edu/event/mechanics-seminar-professor-ricardo-vinuesa/
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:20260410T120000
DTEND;TZID=America/Chicago:20260410T130000
DTSTAMP:20260404T172758
CREATED:20260402T131700Z
LAST-MODIFIED:20260402T131702Z
UID:10001513-1775822400-1775826000@engineering.wisc.edu
SUMMARY:ECE RISE-AI SEMINAR SERIES: Associate Professor Salman Asif
DESCRIPTION:Learning to See\, Adapt\, and Forget: From Computational Imaging to TrustworthyMultimodal AI\n\n\n\n\n\n\n\nAbstract: A central challenge in modern AI is that the world at test time does not match what was assumed at training time. Physical sensors operate under constraints\, modalities go missing\, data shift out of distribution\, and models retain information they were never meant to keep. Building systems that remain robust and reliable under incomplete\, shifted\, or misaligned information is the organizing question of my research program. \n\n\n\nIn this talk\, I will present our research spanning physically grounded inverse problems to large-scale trustworthy AI\, showing how robust behavior across different applications can be achieved through principled\, low-dimensional representations and adaptations. I will begin with computational imaging\, where we seek robust recovery of multidimensional data from indirect or incomplete measurements. I will discuss domain expansion and wavefront sensing\, showing how principled algorithmic innovations lead to robust models for challenging inverse problems. I will then discuss multimodal learning\, where we seek robustness against missing and imbalanced modalities at train or test time via parameter-efficient adaptation\, proxy token generation\, and model merging across modalities. Finally\, I will discuss targeted adversarial attacks and unlearning\, where we seek to exploit model vulnerabilities or remove targeted information (e.g.\, identities\, concepts\, unsafe content) without affecting unrelated capabilities.  \n\n\n\nI will close with a discussion of ongoing work and open problems spanning robust multimodal AI at scale\, continual learning with efficient unlearning\, and AI-guided sensing for medical\, agricultural\, and scientific applications. \n\n\n\nSalman Asif\n\n\n\nBio: M. Salman Asif is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California\, Riverside. Dr. Asif received his Ph.D. from the Georgia Institute of Technology\, Atlanta\, Georgia. He worked as a Senior Research Engineer at Samsung Research America\, Dallas (2012–2014) and as a Postdoctoral Researcher at Rice University (2014–2016). He has received an NSF CAREER Award (2021)\, Google Faculty Research Award (2019)\, Hershel M. Rich Outstanding Invention Award (2016)\, and UC Regents Faculty Fellowship (2017) and Faculty Development (2021) Awards. Dr. Asif currently serves as Senior Associate Editor for the IEEE Transactions on Computational Imaging and as Area Chair for several top-tier venues including CVPR\, NeurIPS\, ICLR\, and AAAI. His research interests lie at the intersection of machine learning\, signal processing\, and computational imaging\, with a focus on building robust and trustworthy AI systems that perform reliably under incomplete\, shifted\, or misaligned information. Current research directions include robust multimodal learning\, model editing and unlearning\, and domain adaptation and generative models for computational imaging and inverse problems. \n\n\n\nLocation details: Discovery Building – Room 2329\, 2nd floor of Discovery Building (access through glass doors behind information desk)
URL:https://engineering.wisc.edu/event/ece-rise-ai-seminar-series-associate-professor-salman-asif/
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/2025/02/Rising-Stars-Seminars-Plain.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260414T160000
DTEND;TZID=America/Chicago:20260414T170000
DTSTAMP:20260404T172758
CREATED:20260324T141447Z
LAST-MODIFIED:20260324T141449Z
UID:10001501-1776182400-1776186000@engineering.wisc.edu
SUMMARY:Bird\, Stewart and Lightfoot Lecture: Daniel Hammer
DESCRIPTION:Room 1610 Engineering Hall \n\n\n\nDaniel HammerAlfred G. and Meta A. Ennis Professor of BioengineeringUniversity of PennsylvaniaPhiladelphia\, PA \n\n\n\nA Tale of Two Motilities\n\n\n\n\n\n\n\nIn the spirit of Bird\, Stewart and Lightfoot\, we have been studying an important problem in transport phenomena\, the biological and bio-inspired motility of cells. \n\n\n\nMotility is important for the functioning of the immune system\, mostly because immune recognition requires molecular transfer by direct cell to cell contact. We have been studying a fascinating form of cell motility in which T-lymphocytes can migrate against the direction of flow\, much like a salmon can swim upstream. Upstream migration is solely due to interactions between a specific lymphocyte receptor\, LFA-1\, and its natural ligand; no other receptor can support upstream migration. Our lab has found that many actively motile cells in the immune system have the ability to migrate upstream. Using CRISPR-Cas9 deletion\, we have identified several molecules in cells that are critical for upstream migration; deletion using Cas9 reverses the direction of migration. We have also made the first traction maps of forces exerted by upstream migrating cells. We found that during upstream migration\, cells maintain their “architecture\,” with active forces in the front and rear\, but the magnitude of the forces greatly increases\, allowing cells to exert sufficient traction to overcome the applied hydrodynamic forces. \n\n\n\nOur laboratory is also interested in making synthetic cells\, or protocells\, that can mimic the behavior of biological cells. In collaboration with Daeyeon Lee at Penn\, we have been making inert capsules using microfluidic assembly that can display motility in solution. By attaching urease to the surface of a capsule\, we can drive autonomous motion of the capsule in a field of urea. We find that asymmetry of the capsule\, in geometry or chemistry\, or both\, greatly enhances capsule motion. In gradients of urea\, our capsules display negative phoresis (move down the gradient). We have preliminary results for the urease-driven motion of Janus capsules\, made by microfluidic assembly from mixtures of phase-separating polymers\, as a function of the geometry of the capsules. \n\n\n\nIn the end\, we draw analogies between our biological and bio-inspired motile systems\, ultimately finding they have little in common.
URL:https://engineering.wisc.edu/event/bird-stewart-and-lightfoot-lecture-daniel-hammer/
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260416T161500
DTEND;TZID=America/Chicago:20260416T170000
DTSTAMP:20260404T172758
CREATED:20260115T171040Z
LAST-MODIFIED:20260401T153438Z
UID:10001409-1776356100-1776358800@engineering.wisc.edu
SUMMARY:ME 150th Celebration: Distinguished Alumni\, Dr. Kelly Senecal
DESCRIPTION:To celebrate 150 years of Mechanical Engineering at the University of Wisconsin – Madison\, the Department of Mechanical Engineering will feature distinguished alumni in mechanical engineering and engineering mechanics who have made a lasting impact on the field. Kelly Senecal\, who received his master’s (’97) and PhD (’00) in mechanical engineering\, is the cofounder of Convergent Science. Kelly also received the 2025 Luminary Award! To learn more about Dr. Kelly Senecal’s experience\, please join us for this installment of our ME 903: Graduate Student Lecture series. \n\n\n\nTitle: From Graduate Research to Global Impact: Building a CFD Company That Challenged Convention \n\n\n\nAbstract: This seminar reflects on the journey from graduate student at the University of Wisconsin–Madison to co-founding a company built on the idea that even established engineering fields can be reimagined. I will share formative experiences from my time at UW–Madison\, the early vision behind building a different kind of CFD company\, and the challenges of pursuing an approach that did not always align with conventional thinking. \n\n\n\nAlong the way\, I will highlight how computational fluid dynamics has grown from a specialized research tool into a technology with global impact across transportation\, energy\, and other critical industries. More importantly\, I will reflect on the lessons learned: that meaningful innovation often requires patience\, resilience\, and the courage to trust fundamentals over trends. \n\n\n\nFor students and researchers\, the message is simple: protect your curiosity\, question assumptions\, and be willing to take the long path. The most impactful ideas are not always the most popular at the start\, `but they are the ones worth pursuing. \n\n\n\nBio: Dr. Kelly Senecal is a co-founder of Convergent Science\, an industry-leading computational fluid dynamics software company. He is a visiting professor at the University of Oxford and a co-founder and director of the Computational Chemistry Consortium (C3). Dr. Senecal is a Fellow of the Society of Automotive Engineers (SAE)\, the American Society of Mechanical Engineers (ASME)\, and the Combustion Institute (CI). He is the Chair of the executive committee of the ASME Transportation Systems Division and a member of the board of directors of the Combustion Institute. Recent accolades include the 2019 ASME ICE Award\, the 2023 SAE John Johnson Diesel Engine Research Medal\, the 2023 ASME Dedicated Service Award\, the 2025 ASME Soichiro Honda Medal\, and the 2025 University of Wisconsin Alumni Association Luminary Award. \n\n\n\nDr. Senecal has long been an advocate of creating cleaner propulsion systems\, with a particular focus on using CFD and HPC to enable faster design. Starting with his TEDx talk in late 2016\, he has promoted a diverse mix of transportation technologies through invited talks\, articles\, and social media. Dr. Senecal is co-author of the book Racing Toward Zero: The Untold Story of Driving Green\, winner of the 2022 Independent Press Award for Environment.
URL:https://engineering.wisc.edu/event/me-903-graduate-seminar-dr-kelly-senecal/
LOCATION:3M Auditorium\, rm 1106 Mechanical Engineering Building\, 1513 University Ave\, Madison\, 53711
CATEGORIES:Mechanical Engineering,Seminar
ATTACH;FMTTYPE=image/png:https://engineering.wisc.edu/wp-content/uploads/2025/08/Event-Graphics-for-Calendar.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260417T120000
DTEND;TZID=America/Chicago:20260417T130000
DTSTAMP:20260404T172758
CREATED:20260120T213231Z
LAST-MODIFIED:20260123T142322Z
UID:10001428-1776427200-1776430800@engineering.wisc.edu
SUMMARY:Midwest Mechanics Seminar: Professor Laura de Lorenzis
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). This specific seminar is hosted in conjunction with the Midwest Mechanics Seminar Series. Professor Laura de Lorenzis is a professor at Institute for Mechanical Systems – Zurich.
URL:https://engineering.wisc.edu/event/midwest-mechanics-seminar-professor-laura-de-lorenzis/
LOCATION:Engineering Research Building\, Room 106\, 1500 Engineering Dr.\, Madison\, Wisconsin\, 53706
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:20260420T120000
DTEND;TZID=America/Chicago:20260420T130000
DTSTAMP:20260404T172758
CREATED:20260121T162825Z
LAST-MODIFIED:20260326T213905Z
UID:10001439-1776686400-1776690000@engineering.wisc.edu
SUMMARY:BME Seminar Series: Fabian Voigt\, PhD
DESCRIPTION:Expanding the optical bag of tricks for (neuro)biology\n\n\n\n\n\n\n\nFabian Voigt\, PhDPostdoctoral Researcher & Branco Weiss Fellow (2024-2029)Biolabs 2072Engert LaboratoryHarvard University \n\n\n\nAbstract:Seeing is believing and thus\, optical imaging techniques are extremely useful to study brain structure and function. I will present several projects aimed at providing the neuroscience community with better imaging instrumentation: These range from open-source light-sheet microscopes for imaging cleared tissue (http://mesospim.org) to novel multi-immersion microscope objectives that take inspiration from scallops and astronomical telescopes. In addition\, I will present recent projects aimed at rapid 3D tracking of freely behaving fish larvae and for increasing the light-collection efficiency of single objective light-sheet microscopes. \n\n\n\nPrint PDF
URL:https://engineering.wisc.edu/event/bme-seminar-series-fabian-voigt-phd/
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:20260421T160000
DTEND;TZID=America/Chicago:20260421T170000
DTSTAMP:20260404T172758
CREATED:20260219T150013Z
LAST-MODIFIED:20260219T150015Z
UID:10001468-1776787200-1776790800@engineering.wisc.edu
SUMMARY:CBE Seminar Series: Sijin Li
DESCRIPTION:Sijin LiCornell UniversityIthaca\, New York \n\n\n\nInteractomics-driven discovery and characterization of plant natural product biosynthetic pathways in yeast\n\n\n\n\n\n\n\nPlants are a rich source of small-molecule drugs and drug leads. Traditional methods for sourcing valuable plant natural products (PNPs) from their native producers are often limited by cost and inefficiency. Leveraging recent advances in synthetic biology and plant multi-omics analysis\, our work has demonstrated that yeast is a viable platform for elucidating and reconstructing complex PNP biosynthetic pathways. We have developed an interactomics-driven strategy to capture post-translational protein-protein interactions between plant enzymes to elucidate pathways. Combined with prevalent genomics and transcriptomics analyses\, this integrated approach led to the discovery and characterization of multiple PNP pathways from non-model plants\, highlighting the potential of synthetic biology to revolutionize PNP-based drug discovery and development
URL:https://engineering.wisc.edu/event/cbe-seminar-series-sijin-li/
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260422T150000
DTEND;TZID=America/Chicago:20260422T160000
DTSTAMP:20260404T172758
CREATED:20251030T201147Z
LAST-MODIFIED:20260129T144232Z
UID:10001362-1776870000-1776873600@engineering.wisc.edu
SUMMARY:ECE Distinguished Speaker Seminar Series: Professor Shanhui Fan
DESCRIPTION:Opportunities in nanophotonics\n\n\n\n\n\n\n\n2535 Engineering Hall \n\n\n\nAbstract:Nanophotonic structures\, in which the feature sizes are comparable or even smaller than wavelength of light\, enables numerous new opportunities for the control of the properties of light. In this talk\, Fan will discuss some of their recent works in utilizing nanophotonic structures for creating novel states of light\, and for potential applications in computing and energy technology. \n\n\n\nShanhui Fan\n\n\n\nBio:Shanhui Fan is the Joseph and Hon Mai Goodman Professor of the School of Engineering at Stanford University. He did his undergraduate study in physics at the University of Science and Technology of China\, and received his Ph. D in 1997 in theoretical condensed matter physics from MIT. His research interests are in nanophotonics. He has published over 750 refereed journal articles\, given over 400 plenary/keynote/invited talks\, and holds over 80 US patents. His recent awards include the R. W. Wood Prize from Optica\, a Simons Investigator in Physics\, and a Vannevar Bush Faculty Fellowship. He is a member of both the U. S. National Academy of Engineering and the U. S. National Academy of Sciences\, and a Fellow of APS\, Optica\, SPIE\, and IEEE.
URL:https://engineering.wisc.edu/event/ece-distinguished-speaker-seminar-series-professor-shanhui-fan/
LOCATION:2535 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/09/Distinguished-Speaker-Seminar-Series-3.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260423T160000
DTEND;TZID=America/Chicago:20260423T170000
DTSTAMP:20260404T172758
CREATED:20260115T171302Z
LAST-MODIFIED:20260115T171305Z
UID:10001410-1776960000-1776963600@engineering.wisc.edu
SUMMARY:ME 903 Graduate Seminar: Professor Wei Chen
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 Wei Chen is a professor at Northwestern University.
URL:https://engineering.wisc.edu/event/me-903-graduate-seminar-professor-wei-chen/
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:20260424T120000
DTEND;TZID=America/Chicago:20260424T130000
DTSTAMP:20260404T172758
CREATED:20260120T212820Z
LAST-MODIFIED:20260123T142341Z
UID:10001426-1777032000-1777035600@engineering.wisc.edu
SUMMARY:Mechanics Seminar: Professor Jennifer Mitchel
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 Jennifer Mitchel is a professor at Wesleyan University.
URL:https://engineering.wisc.edu/event/mechanics-seminar-professor-jennifer-mitchel/
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:20260427T120000
DTEND;TZID=America/Chicago:20260427T130000
DTSTAMP:20260404T172758
CREATED:20260121T162912Z
LAST-MODIFIED:20260121T162914Z
UID:10001440-1777291200-1777294800@engineering.wisc.edu
SUMMARY:BME Seminar Series
DESCRIPTION:Speaker TBA
URL:https://engineering.wisc.edu/event/bme-seminar-series-10/
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:20260430T161500
DTEND;TZID=America/Chicago:20260430T170000
DTSTAMP:20260404T172758
CREATED:20260115T181139Z
LAST-MODIFIED:20260129T205400Z
UID:10001412-1777565700-1777568400@engineering.wisc.edu
SUMMARY:ME 150th Celebration: Distinguished Alumni\, Fred Kiekhaefer
DESCRIPTION:To celebrate 150 years of Mechanical Engineering at the University of Wisconsin – Madison\, the Department of Mechanical Engineering will feature distinguished alumni in mechanical engineering and engineering mechanics who have made a lasting impact on the field. Fred Kiekhaefer\, who received his master’s (’72) in mechanical engineering\, is the former President of Mercury Racing. To learn more about Fred Kiekhaefer’s experience\, please join us for this installment of our ME 903: Graduate Student Lecture series.
URL:https://engineering.wisc.edu/event/me-150th-celebration-distinguished-alumni-fred-kiekhaefer/
LOCATION:3M Auditorium\, rm 1106 Mechanical Engineering Building\, 1513 University Ave\, Madison\, 53711
CATEGORIES:Alumni events,Featured Guest Speaker,Mechanical Engineering,Seminar
ATTACH;FMTTYPE=image/png:https://engineering.wisc.edu/wp-content/uploads/2025/08/Event-Graphics-for-Calendar.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260501T020000
DTEND;TZID=America/Chicago:20260501T150000
DTSTAMP:20260404T172758
CREATED:20260120T213013Z
LAST-MODIFIED:20260205T142651Z
UID:10001427-1777600800-1777647600@engineering.wisc.edu
SUMMARY:Mechanics Seminar: Professor Bala Balachandar
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 Bala Balachandar is a professor at University of Florida.
URL:https://engineering.wisc.edu/event/mechanics-seminar-professor-bala-balachandar/
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-11-jpg.avif
END:VEVENT
END:VCALENDAR