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DTSTART;TZID=America/Chicago:20250203T120000
DTEND;TZID=America/Chicago:20250203T130000
DTSTAMP:20250509T103328
CREATED:20250123T225257Z
LAST-MODIFIED:20250123T225258Z
UID:10001119-1738584000-1738587600@engineering.wisc.edu
SUMMARY:BME Seminar Series: Yichun He
DESCRIPTION:Bridging Molecular and Functional Understandings of Cells with Artificial Intelligence\n\n\n\n\n\n\n\nYichun HePhD Candidate\, Harvard UniversitySchool of Engineering and Applied SciencesThe Broad Institute of MIT and Harvard \n\n\n\nAbstract:The mammalian brain exhibits complex functions and behaviors\, driven by diverse cell types distributed throughout its tissue. However\, understanding the heterogeneity of cell types and neuronal functions across the entire brain remains a significant challenge. In this talk\, I will present the development of one of the first spatial cell atlases of the entire mouse brain\, providing a comprehensive map of molecularly defined cell types and tissue regions. Specifically\, I will discuss the challenges of large-scale cell segmentation in situ and introduce my approach for scalable and accurate cell segmentation. Next\, I will explore single-neuron dynamics using in vivo electrophysiology by developing a deep learning model for spike sorting over time\, highlighting how this approach enables the decoding of neural population dynamics during motor task learning. Finally\, I will outline my roadmap for bridging molecular and functional understandings of cells across modalities and conditions\, with the ultimate goal of uncovering fundamental brain mechanisms and informing targeted therapeutics for neurological diseases. \n\n\n\nPrint PDF
URL:/event/bme-seminar-series-yichun-he/
LOCATION:1003 (Tong Auditorium) Engineering Centers Building\, 1550 Engineering Drive\, Madison\, WI\, 53706\, United States
CATEGORIES:Biomedical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2022/03/Seminar-Graphic-jpg-webp.webp
ORGANIZER;CN="Department of Biomedical Engineering":MAILTO:bmehelp@bme.wisc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250203T120000
DTEND;TZID=America/Chicago:20250203T130000
DTSTAMP:20250509T103328
CREATED:20250124T141157Z
LAST-MODIFIED:20250124T142357Z
UID:10001133-1738584000-1738587600@engineering.wisc.edu
SUMMARY:ME Faculty Candidate Seminar
DESCRIPTION:Join the Department of Mechanical Engineering for Faculty Candidate Seminars during the Spring 2025 semester. \n\n\n\nThese will take place on Mondays and Wednesdays of each week from 12-1pm in room 2188 ME Building.
URL:/event/me-faculty-candidate-seminar-6/
LOCATION:Mechanical Engineering Building\, 1513 University Avenue\, Madison\, WI\, 53706-1539\, United States
CATEGORIES:Mechanical Engineering
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/01/Faculty-Seminar-Promotion.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250204T120000
DTEND;TZID=America/Chicago:20250204T130000
DTSTAMP:20250509T103328
CREATED:20250124T135831Z
LAST-MODIFIED:20250124T135923Z
UID:10001090-1738670400-1738674000@engineering.wisc.edu
SUMMARY:ME Faculty Candidate Seminar
DESCRIPTION:Join the Department of Mechanical Engineering for Faculty Candidate Seminars during the Spring 2025 semester.  \n\n\n\nThese typically take place on Mondays and Wednesdays of each week from 12-1pm in room 2188 ME Building\, with an exception on Tuesday\, February 4.
URL:/event/me-faculty-candidate-seminar/
LOCATION:2188 Mechanical Engineering Building\, 1513 University Avenue\, Madison\, WI\, 53706\, United States
CATEGORIES:Mechanical Engineering
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/01/Faculty-Seminar-Promotion.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250204T122000
DTEND;TZID=America/Chicago:20250204T125000
DTSTAMP:20250509T103328
CREATED:20241227T215108Z
LAST-MODIFIED:20250102T163720Z
UID:10001076-1738671600-1738673400@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: Energy Systems
DESCRIPTION:Engineering undergraduates! Join us in the Cheney Room (1413 Engineering Hall) as faculty members explore the technical area of Energy Systems! All undergraduate students are welcome as Assistant Professor Mahima Gupta\, Assistant Professor Jinia Roy\, and Professor Giri Venkataramanan talk about application ideas\, advanced course electives in this area\, and future job opportunities. 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 pizza!
URL:/event/ece-discovery-panel-energy-systems/
LOCATION:1413 Engineering Hall – Cheney Room\, 1415 Engineering Drive\, Madison\, WI\, 53711\, United States
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2023/10/ECE-Discovery-Panel-Series-1-jpg-webp.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250206T120000
DTEND;TZID=America/Chicago:20250206T130000
DTSTAMP:20250509T103328
CREATED:20250123T225950Z
LAST-MODIFIED:20250204T171813Z
UID:10001120-1738843200-1738846800@engineering.wisc.edu
SUMMARY:BME Seminar Series: Jonathan Soucy\, PhD
DESCRIPTION:Engineering the retinal microenvironment to improve donor neuron integration post-transplantation\n\n\n\n\n\n\n\nJonathan Soucy\, PhDPostdoctoral Research FellowOphthalmology Department at Harvard Medical SchoolSchepens Eye Research Institute of Mass. Eye and Ear \n\n\n\nAbstract:Neuron transplantation is an exciting solution for replacing retinal ganglion cells (RGCs) lost in glaucoma and other optic neuropathies. However\, one significant barrier to successful donor RGC integration is their migration into the ganglion cell layer (GCL). To address this\, we developed an approach to control donor neurons in vivo by engineering their microenvironment post-transplantation.Using an in silico analysis of the developing human retina and a functional in vitro assay\, we evaluated receptor-ligand candidates for their potential to control RGC migration. Among these\, SDF1 emerged as our lead molecule. By establishing an SDF1 gradient in vivo\, we increased donor RGC integration into the GCL nearly threefold. While this strategy has not yet restored vision\, only donor RGCs that migrated into the GCL extended neurites toward the optic nerve head and expressed mature RGC markers.This work establishes a framework for controlling donor cell function through tissue microenvironment engineering\, laying the foundation for future advancements in stem cell-based therapies for vision restoration. \n\n\n\nPrint PDF
URL:/event/bme-seminar-series-jonathan-soucy-phd/
LOCATION:3210 Mechanical Engineering\, 1513 University Ave.\, Madison\, WI\, 53706\, United States
CATEGORIES:Biomedical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:/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:20250206T130000
DTEND;TZID=America/Chicago:20250206T140000
DTSTAMP:20250509T103328
CREATED:20250115T203603Z
LAST-MODIFIED:20250131T144753Z
UID:10001109-1738846800-1738850400@engineering.wisc.edu
SUMMARY:MS&E Seminar Series: Professor Maryam Ghazisaeidi
DESCRIPTION:UW-Madison Department of Materials Science and Engineering welcomes Professor Maryam Ghazisaeidi. Their seminar on “Stability and properties of BCC-B2 refractory ‘high entropy’ alloys” will be on Thursday\, Feb. 6 in MS&E 265 from 1 p.m. to 2 p.m. \n\n\n\n\n\n\n\nAbstract \n\n\n\nEnhancing energy efficiency requires the development of new materials suitable for high-temperature environments. Refractory multicomponent alloys with a BCC/B2 microstructure hold promise\, as this structure\, similar to the well-known γ/γ′ in superalloys but composed of refractory elements\, could result in alloys capable of maintaining high strength at extremely high temperatures. Given the vast range of potential compositions in these alloys\, a critical initial question is whether the B2 phase can form within refractory metals. \n\n\n\nIn this talk\, I will discuss how we address this question using our newly developed Multi-Cell Monte Carlo (MC)² method\, which is well-suited for predicting phase stability in multicomponent systems. Using this method\, we explored the broad compositional space of these alloys\, refined the ordering trends\, and identified the most promising combinations for detailed analysis. Our findings reveal that B2 phases form specifically with the inclusion of elements from groups VII and VIII\, such as Re and Ru. We then linked the phase stability in the favorable combinations to the bonding characteristics between these elements. Lastly\, I will present the experimental efforts undertaken to validate some of these predictions. \n\n\n\nBio \n\n\n\nMaryam Ghazisaeidi is a Distinguished Professor of Engineering and Professor of Materials Science and Engineering at The Ohio State University. She received her Ph.D. in Theoretical and Applied Mechanics from the University of Illinois at Urbana-Champaign\, and her B.S and M.S. degrees from Sharif University of Technology in Tehran\, Iran. Her research interest is in the area of computational materials science at the atomic scale with an emphasis on understanding the structure and chemistry of defects to predict novel material behavior. She has received the NSF CAREER award in 2015 and the AFOSR Young Investigator Program (YIP) award in 2017 and Computational Materials Science Rising Star award in 2020. She is an associate editor for Acta Materialia and Scripta Materialia and serves on the editorial boards of the Journal of Computational Materials Science and Journal of High Entropy Materials.
URL:/event/mse-seminar-series-professor-maryam-ghazisaeidi/
CATEGORIES:Materials Science & Engineering
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/01/MSE-SEMINAR-SERIES-WEB-EVENT-PHOTO-3.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250207T120000
DTEND;TZID=America/Chicago:20250207T130000
DTSTAMP:20250509T103328
CREATED:20250127T143119Z
LAST-MODIFIED:20250130T143657Z
UID:10001134-1738929600-1738933200@engineering.wisc.edu
SUMMARY:High-resolution Tactile Sensing for Robotic Manipulation 
DESCRIPTION:In the quest to enable robots to perform everyday tasks in unstructured environments\, tactile sensing plays a crucial role. Tasks that benefit from refined tactile perception include industrial manufacturing\, domestic chores\, and the care of elderly individuals. However\, high fidelity tactile sensing remains a challenge within the community. Our lab has made strides in the high-resolution tactile sensors and perception algorithms respond to this challenge. This seminar will showcase several prototypes designed to improve robotic manipulation through advanced tactile feedback. We will introduce the GelSight Wedge\, a compact tactile sensor optimized for grasping in cluttered spaces\, and VisTac\, a sensor that integrates visual and tactile inputs for precise object localization\, grasping\, and insertion. Additionally\, we will present VibTac\, a sensor combining acoustic and vision-based tactile sensing for processing audio and vibration signals. Build upon the rich feedback\, we explore diverse robotic manipulation tasks such as robot cable manipulation and dexterous in-hand manipulation. Our work aims to equip robots with the autonomy to intelligently perform a wide range of tasks\, moving us closer to a future where robots seamlessly integrate into daily life.  \n\n\n\n\n\nBio: Dr. Yu She is an assistant professor at Purdue University Edwardson School of Industrial Engineering. Prior to that\, he was a postdoctoral researcher in the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT from 2018 to 2021. He earned his PhD degree in the Department of Mechanical Engineering at the Ohio State University in 2018. His research is at the intersection of mechanism design\, tactile sensing\, intelligent control\, and robot learning. \n\n\n\nHe is a recipient of the Showalter Early Investigator Award (2024) and the Google Research Scholar Award (2022) and multiple paper recognitions\, including the Best Paper Award Finalist for the 2020 ASME Journal of Mechanisms and Robotics\, the Best Paper Award Finalist at the 2020 Robotics: Science and Systems (RSS) Conference\, the Best Paper Award at the 2018 ASME Dynamic Systems & Control Conference (DSCC)\, and the Best Paper Award Finalist at the 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).
URL:/event/high-resolution-tactile-sensing-for-robotic-manipulation/
LOCATION:1163 Mechanical Engineering\, 1513 Engineering Dr.\, Madison\, WI\, 53706\, United States
CATEGORIES:Colloquium,Industrial & Systems Engineering
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250210T160000
DTEND;TZID=America/Chicago:20250210T170000
DTSTAMP:20250509T103328
CREATED:20250127T172451Z
LAST-MODIFIED:20250131T145309Z
UID:10001139-1739203200-1739206800@engineering.wisc.edu
SUMMARY:MS&E Faculty Search Presentation: Dr. Dylan M. Barber
DESCRIPTION:UW-Madison Department of Materials Science and Engineering welcomes Dr. Dylan M. Barber. Their presentation on “AI-driven Computational Predictions for Polymeric Materials” will be on Monday\, Feb. 10 in MS&E 265 from 4 p.m. to 5 p.m. \n\n\n\n\n\n\n\nAbstract \n\n\n\nControlling structure and material properties across length scales could revolutionize fields ranging from energy storage to bioelectronics. In this talk\, I will demonstrate structural control in three materials systems spanning the molecular\, meso-\, and macroscale. I will begin with small molecules and polymers by highlighting the rational design and synthesis of zwitterionic liquids that exhibit low viscosity and high dielectric permittivity\, then describe an emerging class of polarizable elastomers. Next\, inspired by natural hierarchical materials\, I will move to larger length-scales\, introducing a pathway to self-bundling mesoscale polymer filaments. Finally\, I will describe a “print-and-plate” method for creating architected porous electrodes based on 3D periodic lattices for understanding electrochemical flow systems. Together\, these foundational advances combine materials synthesis\, quantitative characterization\, and assembly of functional matter to unlock architectural control and new opportunities from molecules to the macroscale. \n\n\n\nBio \n\n\n\nDr. Barber is passionate about solving problems with better materials. He pursued this passion as an undergraduate at Williams College by earning a B.A. with honors in Chemistry\, during which he synthesized antioxidant block copolymers for drug encapsulation and targeted delivery. Then\, he earned a Ph.D. in Polymer Science and Engineering from the University of Massachusetts Amherst under the joint mentorship of Professors Todd Emrick and Alfred J. Crosby. During his Ph.D.\, fully funded by the NDSEG Fellowship\, he developed methods to control the structure and assembly of mesoscale polymer filaments\, mimicking the hierarchical assembly of natural materials like collagen and muscle. He is currently a postdoctoral Fellow working with Professor Jennifer A. Lewis at Harvard University\, where he 3D-prints conductive lattice electrodes for electrochemical flow systems and develops soft materials with high permittivity.
URL:/event/mse-faculty-search-presentation-dr-dylan-m-barber/
CATEGORIES:Materials Science & Engineering
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/01/MSE-SEMINAR-SERIES-WEB-EVENT-PHOTO-4.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250213T120000
DTEND;TZID=America/Chicago:20250213T130000
DTSTAMP:20250509T103328
CREATED:20250117T203539Z
LAST-MODIFIED:20250210T185252Z
UID:10001114-1739448000-1739451600@engineering.wisc.edu
SUMMARY:ECE Virtual Alumni Town Hall
DESCRIPTION:ECE Alumni-We hope you will join us for this one-hour event hosted by ECE Department Chair Susan Hagness. During the Town Hall\, we will be exploring the very timely topic of energy systems related to the rapid growth of Artificial Intelligence (AI).  ECE Associate Professor and Grainger Institute Fellow Line Roald will share her research on the energy use and associated carbon emissions of AI data centers. We will also be joined by ECE PhD students Asmita Pal\, Elise Song\, and Zhewen Pan who earned first place in the inaugural campus-wide\, N+1 Institute Reverse Pitch Competition sponsored by Google.  This competition challenged students to focus on the area of sustainability for AI data centers. \n\n\n\nAfterward\, there will be time for your questions. Zoom registration information was sent in late January via email to alumni\, so check your Inbox! \n\n\n\nQuestions can be directed to: Office@ece.wisc.edu \n\n\n\nLeft to right\, Assoc. Professor Roald\, Asmita Pal\, Elise Song\, Zhewen Pan
URL:/event/ece-virtual-alumni-town-hall/
LOCATION:Via Zoom\, WI
CATEGORIES:Alumni events,Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2022/09/ECE-Alumni-Town-hall-1.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250213T120000
DTEND;TZID=America/Chicago:20250213T130000
DTSTAMP:20250509T103328
CREATED:20250123T230309Z
LAST-MODIFIED:20250204T171725Z
UID:10001121-1739448000-1739451600@engineering.wisc.edu
SUMMARY:BME Seminar Series: Shailaja Seetharaman\, PhD
DESCRIPTION:Vascular Dysfunction in Disease: Engineering Mechanobiology Holds the Solution\n\n\n\n\n\n\n\nShailaja Seetharaman\, PhDPostdoctoral ResearcherJames Franck Institute and Department of PhysicsUniversity of Chicago \n\n\n\nAbstract:Abnormalities in blood vessel and blood flow properties are key drivers of severe cardiovascular and cerebrovascular pathologies. The remarkable ability of the vasculature to sense and respond to mechanical and biochemical signals across multiple scales presents both a challenge for understanding disease progression and an opportunity for therapeutic intervention. In this talk\, I will first present our recent findings on uncovering novel mechano-biochemical feedback loops that drive endothelial dysfunction in atherosclerosis. I will highlight how blood flow profiles trigger transcriptional control of force-sensitive proteins\, which mediate cytoskeletal crosstalk and cellular adaptation during endothelial dysfunction. Second\, building on these mechanistic insights into molecular feedback and cellular structural rearrangements\, I will describe our development of one of the first ‘biologically-informed’ ML models for predicting tissue-scale function in health and disease. This work opens new avenues for decoding mechano-biochemical feedback across scales in cardio- and cerebrovascular diseases. Finally\, I will outline how this integrated approach enables engineering of physiological vascular tissue function and AI-mediated discovery of disease drivers\, with the ultimate goal of targeting vascular functions to reverse disease progression. \n\n\n\nPrint PDF
URL:/event/bme-seminar-series-shailaja-seetharaman-phd/
LOCATION:3210 Mechanical Engineering\, 1513 University Ave.\, Madison\, WI\, 53706\, United States
CATEGORIES:Biomedical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:/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:20250213T130000
DTEND;TZID=America/Chicago:20250213T140000
DTSTAMP:20250509T103328
CREATED:20250115T204129Z
LAST-MODIFIED:20250131T145003Z
UID:10001110-1739451600-1739455200@engineering.wisc.edu
SUMMARY:MS&E Seminar Series: Assistant Professor Samuel Teitelbaum
DESCRIPTION:UW-Madison Department of Materials Science and Engineering welcomes Assistant Professor Samuel Teitelbaum. Their seminar on “Uncovering Real-time Structural Transformations with Femtosecond X-rays” will be on Thursday\, Feb. 13 in MS&E 265 from 1 p.m. to 2 p.m. \n\n\n\n\n\n\n\nAbstract \n\n\n\nMaterial transformations (i.e. phase transitions) are foundational processes in technologies and natural phenomena from solid-state memory and piezoelectric motors to the composition of mountains. Despite their broad importance\, experimentally observing the underlying atomic-scale dynamics in these transformations remains an open challenge. Addressing this challenge requires tracking phenomena over a broad range of time and length scales\, ranging from the timescale of atomic vibrations (10-13 seconds) to domain percolation (103 seconds or longer)\, and length scales from atomic bonds (10-10 meters) to domain sizes (10-3 meters). Over the past decade\, ultrashort x-ray sources such as x-ray free electron lasers (XFELs) enabled unique experimental methods that can probe this broad range of length and time scales. In this talk\, I will show how XFELs can reveal key details about the multiscale dynamics of phase transitions. Using charge density waves (CDW) systems as a prototypical example\, we show how ultrafast x-ray scattering reveals even ultrashort phase transitions to be intrinsically heterogeneous\, and the role that topological defects play in coarsening dynamics on very short timescales. \n\n\n\nThough XFELs offer a powerful probe into material dynamics\, XFELs cost billions of dollars and can only run a limited number of experiments simultaneously. This creates a bottleneck for fully realizing the potential of these sources. In the second part of my talk\, I will discuss our efforts to build more compact\, lower-cost ultrafast x-ray sources. I will discuss the design and early commissioning results of two sources\, the compact x-ray source (CXLS) and the compact XFEL (CXFEL). These sources have physical footprints and capital cost orders of magnitude smaller than a typical XFEL\, fitting within a typical university building. Finally\, I will give an outlook on these compact sources’ applications in condensed matter physics\, AMO science\, and biochemistry. \n\n\n\nBio \n\n\n\nSamuel Teitelbaum grew up in the suburbs of Washington\, DC\, and obtained a BS in chemistry and physics at the University of Maryland\, College Park. He attended MIT for graduate school\, working on single-shot spectroscopy of light-driven phase transitions\, and obtained a PhD in Physical Chemistry in 2016. His postdoctoral work at SLAC focused on using XFELs to understand optically driven states\, including nonlinear x-ray optics\, coherent x-ray scattering\, and time-resolved x-ray scattering. He joined the faculty at Arizona State University as an assistant professor in 2020.
URL:/event/mse-seminar-series-assistant-professor-samuel-teitelbaum/
CATEGORIES:Materials Science & Engineering
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/01/MSE-SEMINAR-SERIES-WEB-EVENT-PHOTO-3.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250213T160000
DTEND;TZID=America/Chicago:20250213T170000
DTSTAMP:20250509T103328
CREATED:20241226T152547Z
LAST-MODIFIED:20241226T160519Z
UID:10001059-1739462400-1739466000@engineering.wisc.edu
SUMMARY:ME 903 Graduate Seminar: Professor Kyoko Yoshida
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 Kyoko Yoshida is a professor at the University of Minnesota.
URL:/event/me-903-graduate-seminar-professor-kyoko-yoshida/
LOCATION:3M Auditorium\, rm 1106 Mechanical Engineering Building\, 1513 University Ave\, Madison\, 53711
CATEGORIES:Mechanical Engineering
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2024/08/Event-Graphics-for-Calendar-12-jpg.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250216T100000
DTEND;TZID=America/Chicago:20250216T110000
DTSTAMP:20250509T103328
CREATED:20250212T170658Z
LAST-MODIFIED:20250212T171549Z
UID:10001158-1739700000-1739703600@engineering.wisc.edu
SUMMARY:ISyE - IISE Pickleball Social
DESCRIPTION:Feeling ready for some friendly competition? Play Pickleball with IISE at the Bakke! Pickleball is a fun\, quick-paced sport similar to tennis. All skill levels are welcome and equipment will be provided!If you are considering attending\, you must use “IISE WELCOME PICKLEBALL EVENT” as the event title when you complete this waiver form to be able to participate. Please complete this waiver ASAP 🙂 and join us on courts 3 & 4!
URL:/event/pickleball-social/
LOCATION:Bakke Recreation & Wellbeing Center\, 1976 Observatory Dr\, Madison\, Wisconsin\, 53706
CATEGORIES:Industrial & Systems Engineering,Social Event,Student Org Event
ATTACH;FMTTYPE=image/webp:/wp-content/uploads/2025/02/what-is-pickleball-and-how-do-you-play-it.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250217T120000
DTEND;TZID=America/Chicago:20250217T130000
DTSTAMP:20250509T103328
CREATED:20250204T171650Z
LAST-MODIFIED:20250211T191106Z
UID:10001141-1739793600-1739797200@engineering.wisc.edu
SUMMARY:BME Seminar Series: Dhananjay Bhaskar\, PhD
DESCRIPTION:Harnessing Geometry and Topology in Machine Learning for Biomedical Discovery\n\n\n\n\n\n\n\nDhananjay Bhaskar\, PhDPostdoctoral Researcher\, Yale UniversityYale – Boehringer Ingelheim FellowKavli Institute for Neuroscience FellowVisiting Scholar in Engineering\, Brown University \n\n\n\nAbstract:Understanding the shape of data through geometry and topology offers a powerful perspective with the potential to drive breakthroughs in biomedical science and engineering. This talk explores how these mathematical frameworks\, integrated with machine learning\, can drive innovation in drug discovery\, understanding cellular communication\, and unraveling the dynamics of brain activity. \n\n\n\nI will introduce learnable geometric scattering\, a novel machine learning framework that overcomes the key limitations of conventional graph neural networks. By capturing nuanced structural features\, this approach opens new frontiers in drug discovery and protein conformational analysis. Building on this\, I will demonstrate how combining geometric scattering with topological data analysis uncovers hidden patterns in cell signaling and neural activity\, shedding light on wound healing mechanisms and schizophrenia diagnosis. Finally\, I will highlight how these tools can deepen our understanding of learning in artificial neural networks\, paving the way for the development of biologically inspired\, more expressive\, and robust machine learning models. \n\n\n\nThis talk will emphasize the practical applications of these approaches and their transformative potential for addressing real-world challenges in health and medicine. \n\n\n\nPrint PDF
URL:/event/bme-seminar-series-dhananjay-bhaskar-phd/
LOCATION:1003 (Tong Auditorium) Engineering Centers Building\, 1550 Engineering Drive\, Madison\, WI\, 53706\, United States
CATEGORIES:Biomedical Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:/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:20250217T180000
DTEND;TZID=America/Chicago:20250217T190000
DTSTAMP:20250509T103328
CREATED:20250212T171219Z
LAST-MODIFIED:20250212T171613Z
UID:10001159-1739815200-1739818800@engineering.wisc.edu
SUMMARY:ISyE- IISE JEOPARDY game night
DESCRIPTION:Join UW-ISyE’s IISE student org forJeopardy night. Gift cards will be given to winning teams.
URL:/event/jeopardy-game-night/
LOCATION:Location TBD (Check ME building for signage)\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Industrial & Systems Engineering,Social Event,Student Org Event
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/jeopardy-logo-2.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250218T120000
DTEND;TZID=America/Chicago:20250218T130000
DTSTAMP:20250509T103328
CREATED:20250205T145715Z
LAST-MODIFIED:20250211T195121Z
UID:10001150-1739880000-1739883600@engineering.wisc.edu
SUMMARY:ISyE Foundations of Private Optimization for Modern Machine Learning
DESCRIPTION:How can we develop optimization algorithms for training machine learning models that preserve the privacy of individuals’ training data? In this talk\, I will present my work addressing this challenge through differential privacy (DP). Differential privacy offers a rigorous\, quantifiable standard of privacy that limits potential leakage of training data. I will explore the fundamental limits of performance for differentially private optimization in modern machine learning\, particularly within federated learning settings\, and present scalable\, efficient algorithms that achieve optimal accuracy under DP constraints. Additionally\, these algorithms demonstrate strong empirical performance. Beyond privacy\, I will also discuss some of my work in optimization for fair and robust machine learning\, which has been deployed in industrial settings. \n\n\n\n\n\nBio: Dr. Andrew Lowy is a postdoctoral Research Associate at the University of Wisconsin-Madison\, advised by Stephen J. Wright. He received his PhD in Applied Mathematics from the University of Southern California under the supervision of Meisam Razaviyayn\, where he was awarded the 2023 Center for Applied Mathematical Sciences (CAMS) Graduate Student Prize for outstanding research.  \n\n\n\nDr. Lowy’s research focuses on optimization for private\, fair\, and robust machine learning\, with an emphasis on understanding fundamental limits and developing scalable algorithms that achieve these limits. His work has been published in leading venues across optimization\, machine learning\, and privacy\, including the SIAM Journal on Optimization\, NeurIPS\, ICML\, ICLR\, ALT\, ACM CCS\, and the Journal of Privacy and Confidentiality. His research has also had real-world impact\, with some of his algorithms deployed in industry. 
URL:/event/foundations-of-private-optimization-for-modern-machine-learning/
LOCATION:2188 Mechanical Engineering Building\, 1513 University Avenue\, Madison\, WI\, 53706\, United States
CATEGORIES:Colloquium,Industrial & Systems Engineering
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/lowypgraophic-1.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250218T122000
DTEND;TZID=America/Chicago:20250218T125000
DTSTAMP:20250509T103328
CREATED:20250102T163153Z
LAST-MODIFIED:20250102T163156Z
UID:10001079-1739881200-1739883000@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: Quantum\, Optics & Photonics
DESCRIPTION:Engineering undergraduates! Join us in the Cheney Room (1413 Engineering Hall) as faculty members explore the technical area of Quantum\, Optics & Photonics! All undergraduate students are welcome as Assistant Professor Jennifer Choy\, Professor Mikhail Kats\, and Assistant Professor Ying Wang talk about application ideas\, advanced course electives in this area\, and future job opportunities. It’s a great place to ask your questions about classes and career paths in this growing ECE field. \n\n\n\nCome for the insights\, stay for the pizza!
URL:/event/ece-discovery-panel-quantum-optics-photonics/
LOCATION:1413 Engineering Hall – Cheney Room\, 1415 Engineering Drive\, Madison\, WI\, 53711\, United States
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2024/02/Web-GraphicECE-Discovery-Panel-Series-jpg.webp
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250219T180000
DTEND;TZID=America/Chicago:20250219T190000
DTSTAMP:20250509T103328
CREATED:20250206T151714Z
LAST-MODIFIED:20250218T170219Z
UID:10001151-1739988000-1739991600@engineering.wisc.edu
SUMMARY:ISyE Alumni Panel
DESCRIPTION:All students are invited to join us as we welcome back these ISyE alumni. Representing a variety of industries and career paths\, these alumni will briefly share their stories and field questions from students in a casual Q&A format. \n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\nTheron (TJ) Dodson\n\n\n\nMaria Palma\n\n\n\n\n\n\n\nEd Kopetsky\n\n\n\n\n\n\n\n\nTJ Dodson\n\n\n\nMaria Palma\n\n\n\nEd Kopetsky
URL:/event/isye-alumni-panel/
CATEGORIES:Alumni events,Industrial & Systems Engineering
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/Generic-Welcome-Back-Badger-template.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250220T120000
DTEND;TZID=America/Chicago:20250220T130000
DTSTAMP:20250509T103328
CREATED:20250210T135613Z
LAST-MODIFIED:20250214T134405Z
UID:10001155-1740052800-1740056400@engineering.wisc.edu
SUMMARY:ISyE Accounting Individual Cognition and Social Influence for Better Human-AI Collaboration
DESCRIPTION:Artificial intelligence (AI) technologies are increasingly integrated into our lives\, enabling a new paradigm of human-AI decision-making where AI provides recommendations\, and humans make the final decision. However\, such human-AI collaboration often yields mixed results in reality\, highlighting the need to understand how humans engage with AI-based systems and optimize human-AI collaboration’s effectiveness. In this talk\, I address this challenge from two perspectives. First\, I explore how individual cognitive processes shape human-AI interactions and how these insights can be modeled and incorporated into the design of AI models optimized for human-AI teams. Second\, I examine the role of social influence—information humans receive beyond AI recommendations—in decision-making and discuss how it can be strategically designed in AI-based systems to foster critical reflections of AI recommendations and enhance human-AI collaboration. \n\n\n\n\n\nBio: Zhuoran Lu is a Ph.D. candidate in Computer Science at Purdue University\, advised by Prof. Ming Yin. His research lies at the intersection of human-computer interaction (HCI) and artificial intelligence (AI)\, with a focus on human-AI interaction\, human-centered AI\, and applied machine learning. His work has been published in top-tier venues across HCI (e.g.\, CHI\, CSCW) and AI (e.g.\, AAAI\, IJCAI)\, and was recognized with the Best Paper Award at CSCW 2022. His research has been supported by the Frederick N. Andrews Fellowship and the Bilsland Dissertation Fellowship from Purdue University.
URL:/event/isye-colloquium-zhuoran-lu/
LOCATION:2188 Mechanical Engineering Building\, 1513 University Avenue\, Madison\, WI\, 53706\, United States
CATEGORIES:Colloquium,Industrial & Systems Engineering
ATTACH;FMTTYPE=image/png:/wp-content/uploads/2025/02/lugraophic-png.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250220T120000
DTEND;TZID=America/Chicago:20250220T130000
DTSTAMP:20250509T103328
CREATED:20250214T140052Z
LAST-MODIFIED:20250214T214438Z
UID:10001165-1740052800-1740056400@engineering.wisc.edu
SUMMARY:ECE RISE-AI and RISE-EARTH Seminar Series - Seah Kim
DESCRIPTION:4610 Engineering Hall \n\n\n\nScalable SoC Architectures for Domain-Specific Computing: From Algorithms to Silicon\n\n\n\nAbstract:Modern software stacks contain concurrent and heterogeneous workloads with bespoke constraints. This is especially crucial for emerging edge applications\, such as AR/VR\, robotics\, and autonomous vehicles. In response to these demands\, hardware has shifted towards pervasive specialization\, making development and cross-stack integration increasingly challenging. This shift raises the pressing question at the core of modern computing: How do we enable scalable specialization in modern SoCs? How do we design and integrate heterogeneous accelerators while ensuring performance scalability through efficient resource management and adaptability across system layers?In this talk\, I will present my research addressing these interconnected challenges of scalable specialization through full-stack\, system approaches. (1) First\, I will introduce Gemmini\, an award-winning\, widely used DNN accelerator generator that enables agile\, full-stack accelerator evaluation. Gemmini allows researchers to explore the specialized accelerator design space under a full SoC. (2) Next\, I will present AuRORA\, the award-winning\, novel virtualized accelerator integration approach with dynamic resource allocation\, paving the foundation for accelerator-rich SoCs. AuRORA redesigns a novel CPU-accelerator interface that enables fast and flexible resource repartitioning\, along with a runtime system that abstracts physical accelerators into a unified virtualized resource pool. (3) ​​Then\, I will introduce SuperNoVA\, an algorithm-hardware co-design for real-time\, dynamic workloads on resource-constrained platforms\, using SLAM as a target workload. SuperNoVA tackles the challenge of balancing accuracy and real-time execution with an adaptive algorithm for large-scale SLAM. (4) Finally\, I will showcase a silicon test chip I taped out that embodies my research by integrating these innovations. Silicon validation with real workloads successfully proves the feasibility of scalable specialization.By bridging hardware design\, system software\, application algorithms\, and silicon validation\, my research enables adaptive\, accelerator-rich computing platforms for modern edge applications. I will revolutionize edge SoC design by combining design-time hardware-software co-optimization with runtime adaptive resource management\, achieving the best of both static specialization and dynamic flexibility to address the evolving demands of future edge platforms. \n\n\n\nSeah Kim\n\n\n\nBio:Seah Kim is a Ph.D. Candidate at UC Berkeley\, specializing in Computer Architecture and VLSI. Her research spans the full computing stack\, from chip design and hardware development to system software and application algorithms\, with a focus on scalable domain-specific SoC design. She has been awarded the IEEE Micro Top Pick in Computer Architecture (MICRO 2023)\, the Best Paper Award (DAC 2021)\, and the Distinguished Artifact Award (ISCA 2023). Prior to UC Berkeley\, she earned a B.S. in Electrical and Computer Engineering from Seoul National University. Seah was selected as a 2024 Rising Star in EECS and a 2023 ML and Systems Rising Star.
URL:/event/ece-rise-ai-and-rise-earth-seminar-series-seah-kim/
LOCATION:4610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/Rising-Stars-Seminars-Plain.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250220T120000
DTEND;TZID=America/Chicago:20250220T133000
DTSTAMP:20250509T103328
CREATED:20250210T143308Z
LAST-MODIFIED:20250219T214643Z
UID:10001154-1740052800-1740058200@engineering.wisc.edu
SUMMARY:NEEP Seminar: Tara Righetti\, University of Wyoming
DESCRIPTION:Thursday\, February 20 | 12:00pmEngineering Hall 1610  \n\n\n\n\n\n\n\nSpeaker: Tara Righetti\, University of Wyoming \n\n\n\nTitle: Climate\, Clean Energy\, and the Social Contract \n\n\n\nAbstract: Advanced Nuclear and CCUS feature prominently in the U.S. plans for net-zero energy and industry and will become increasingly important with expanding energy demand. Despite their potential contributions to commercial scale decarbonization\, however\, they are each subject to extensive and time consuming federal regulatory programs which advocates of these technologies argue pose a major barrier to deployment. The rigor of these programs reflects the sentiment that the magnitude of potential societal and environmental harms–however however small the probability–outweigh the need for expediency in climate action. At the same time\, the Trump Administration has called for emergency permitting authority for energy projects. With dueling calls for greater efficiency in permitting and communities fervently opposing strong-handed approaches to infrastructure development\, clean-industry technologies are at a crossroads. Moving forward requires consideration about how we evaluate and allocate risk — questions that are central to the social contract between the people and places that produce energy and those that consume it. This talk contemplates these factors in light of the shifting energy policy priorities of the new administration.    \n\n\n\nBio: Tara Righetti is the Occidental Chair of Energy and Environmental Policies at the University of Wyoming\, the co-director of the Nuclear Energy Research Center\, and the director of the Jurisprudence of Underground Law and Energy (JOULE) research group. Her research focuses on property and administrative law issues associated with decarbonization and development of the energy and industrial sectors.  \n\n\n\nThis seminar is presented by the Nuclear Engineering & Engineering Physics Department and the University of Wisconsin Law School\, in collaboration with the Clean Energy Community Initiative and the Grainger Institute for Engineering \n\n\n\nRemote Participation is available through Zoom: https://uwmadison.zoom.us/j/99289578680?pwd=bfjncw7j7oDINCZgUcuFbpo5IL4t2E.1
URL:/event/neep-seminar-series-tara-righetti-university-of-wyoming/
CATEGORIES:Nuclear Engineering & Engineering Physics
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250220T160000
DTEND;TZID=America/Chicago:20250220T170000
DTSTAMP:20250509T103328
CREATED:20241226T152944Z
LAST-MODIFIED:20241226T160924Z
UID:10001060-1740067200-1740070800@engineering.wisc.edu
SUMMARY:ME 903 Graduate Seminar: Professor Sastry Pamidi
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 Sastry Pamidi is a professor at Florida State University.
URL:/event/me-903-graduate-seminar-professor-sastry-pamidi/
LOCATION:3M Auditorium\, rm 1106 Mechanical Engineering Building\, 1513 University Ave\, Madison\, 53711
CATEGORIES:Mechanical Engineering
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250221T164500
DTEND;TZID=America/Chicago:20250221T210000
DTSTAMP:20250509T103328
CREATED:20250212T175015Z
LAST-MODIFIED:20250212T175018Z
UID:10001161-1740156300-1740171600@engineering.wisc.edu
SUMMARY:ISyE - "IISE on ICE"
DESCRIPTION:Join IISE for an evening of ice skating at Memorial Union.   Don’t have your own skates? Reserve ahead of time at: https://union.wisc.edu/events-and-activities/event-calendar/event/throwbackskatenight-2025-ouw-3/
URL:/event/isye-iise-on-ice/
LOCATION:Memorial Union\, 800 Langdon St\, Madison\, Wisconsin\, 53706
CATEGORIES:Departments,Industrial & Systems Engineering,Social Event,Student Org Event
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/Ice-Skating.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250224T120000
DTEND;TZID=America/Chicago:20250224T130000
DTSTAMP:20250509T103328
CREATED:20250204T171908Z
LAST-MODIFIED:20250217T194405Z
UID:10001142-1740398400-1740402000@engineering.wisc.edu
SUMMARY:BME Seminar Series: Mehmet Orman\, PhD
DESCRIPTION:Metabolic Adaptations of Drug-Tolerant Persister Cells\n\n\n\n\n\n\n\nMehmet A Orman\, PhDAssociate ProfessorChemical and Biomolecular Engineering DepartmentUniversity of Houston \n\n\n\nAbstract:My research focuses on understanding drug-tolerant phenotypes\, particularly persister cells\, in both prokaryotic and eukaryotic systems. Persister cells are temporarily tolerant to drugs and contribute significantly to disease recurrence. We investigate their molecular makeup\, including metabolite profiles\, RNA expression\, protein composition\, and regulatory networks\, to identify key survival mechanisms and potential therapeutic targets. Our ongoing projects include investigating self-digestion-mediated tolerance in bacterial persisters\, host-pathogen interactions in drug tolerance\, metabolic and repair pathways in bacterial and cancer persisters\, and the immunomodulatory potential of microbial cells to harness host-pathogen interactions for cancer therapy. \n\n\n\nIn this talk\, I will highlight our strategies to study and target persister cell metabolism in bacteria and cancer. Contrary to the belief that persister cells in bacteria have suppressed metabolism\, we show that their survival depends on energy metabolism\, particularly oxidative phosphorylation. In bacteria\, the cyclic-adenosine monophosphate and its receptor protein redirects metabolism from anabolism to oxidative phosphorylation\, highlighting the importance of the tricarboxylic acid cycle\, electron transport chain\, and ATP synthase. Similarly\, in melanoma persisters\, chemotherapy-induced stress increases mitochondrial activity\, revealing a dual role of treatment—inducing apoptosis in most cells while promoting a dormant\, drug-tolerant subpopulation. Understanding these metabolic adaptations opens new avenues for therapeutic interventions\, aiming to eradicate persister cells and prevent disease recurrence. \n\n\n\nPrint PDF
URL:/event/bme-seminar-series-mehmet-orman-phd/
LOCATION:1003 (Tong Auditorium) Engineering Centers Building\, 1550 Engineering Drive\, Madison\, WI\, 53706\, United States
CATEGORIES:Biomedical Engineering,Seminar
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ORGANIZER;CN="Department of Biomedical Engineering":MAILTO:bmehelp@bme.wisc.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250224T160000
DTEND;TZID=America/Chicago:20250224T170000
DTSTAMP:20250509T103328
CREATED:20250127T144810Z
LAST-MODIFIED:20250131T145036Z
UID:10001138-1740412800-1740416400@engineering.wisc.edu
SUMMARY:MS&E Faculty Search Presentation: Dr. Jiale Shi
DESCRIPTION:UW-Madison Department of Materials Science and Engineering welcomes Dr. Jiale Shi. Their presentation on “AI-driven Computational Predictions for Polymeric Materials” will be on Monday\, Feb. 24 in MS&E 265 from 4 p.m. to 5 p.m. \n\n\n\n\n\n\n\nAbstract \n\n\n\nPolymeric materials\, an integral part of modern life\, permeate various aspects of daily living\, including clothing\, food\, transportation\, construction\, and healthcare\, due to their versatile macroscopic properties. The macroscopic properties of polymers depend on their microscopic design\, including chemical structure\, composition\, sequence\, topology\, chain length\, and molecular mass distribution. However\, due to the complex nature and gigantic design space of functional polymeric materials\, many important quantitative structure-property relationships remain unknown. Artificial intelligence (AI) can not only efficiently explore the vast polymer design space but also provide data-driven solutions to uncover quantitative structure-property relationships that are difficult to identify through conventional computational methods. In this talk\, I will present how we develop AI-driven computational methods for polymer property prediction and design. First\, I will discuss the development of AI models for predicting polymer–surface adhesive free energy and guiding the optimal design of polymer sequences with a genetic algorithm\, as well as the use of transfer learning techniques to improve AI model predictions when data is insufficient. Second\, I will highlight the development of similarity-informed explainable AI for polymer search\, embedding\, and property prediction. \n\n\n\nBio \n\n\n\nDr. Jiale Shi is currently a postdoctoral associate in the Department of Chemical Engineering at MIT working with Prof. Bradley Olsen and Dr. Debra Audus (NIST). His postdoc research projects focus on developing similarity-informed explainable AI for polymer search\, embedding and property predictions. He is a core member of the Community Resource for Innovation in Polymer Technology (CRIPT). He received his Ph.D. in Chemical Engineering at the University of Notre Dame with Prof. Jonathan Whitmer. His Ph.D. research focused on facilitating optimal design of new soft materials via integrating AI\, molecular simulations\, and statistical physics. He was a graduate participant of the Midwest Integrated Center for Computational Materials (MICCoM)\, focusing on developing and applying advanced sampling methods for free energy calculations. He received his B.S. in Chemistry at Peking University. His future research program will focus on AI-driven computational design for functional polymeric materials. His research accomplishments have been recognized by awards and honors\, including (1) ACS PMSE Future Faculty Scholar\, (2) ACS POLY Big Data Award\, (3) Outstanding Paper Award from Department of Chemical and Biomolecular Engineering at University of Notre Dame\, (4) Best Poster Award at Notre Dame-Purdue Soft Matter & Polymers Symposium.
URL:/event/mse-faculty-search-presentation-dr-jiale-shi/
CATEGORIES:Materials Science & Engineering
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250224T180000
DTEND;TZID=America/Chicago:20250224T190000
DTSTAMP:20250509T103328
CREATED:20250218T185651Z
LAST-MODIFIED:20250218T185654Z
UID:10001170-1740420000-1740423600@engineering.wisc.edu
SUMMARY:ISyE - Letters of Love Volunteering
DESCRIPTION:Spend a night with the IISE student org volunteering for Letters of Love.  \n\n\n\nLetters of Love aims to provide emotional support to children in hospitals by sending them handwritten cards and letters. Use this hour to give back to your community\, connect with other industrial engineers\, and unleash your creativity. All supplies will be provided.
URL:/event/isye-letters-of-love-volunteering/
LOCATION:1610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53706
CATEGORIES:Departments,Industrial & Systems Engineering,Student Org Event
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2024/09/Student-Org-EVent-scaled.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250225T120000
DTEND;TZID=America/Chicago:20250225T130000
DTSTAMP:20250509T103328
CREATED:20250218T150845Z
LAST-MODIFIED:20250218T150847Z
UID:10001168-1740484800-1740488400@engineering.wisc.edu
SUMMARY:ECE RISE SEMINAR SERIES: AI for Next-Generation Electronics and Chip Design - Olivia Hsu
DESCRIPTION:1240 Computer SciencesLIVE STREAM: https://uwmadison.zoom.us/j/93718552231?pwd=sT5wyiW8EMu8AzOrcLoZVCfEf63rOh.1  \n\n\n\nFrom Language to Silicon: Programming Systems for Sparse Accelerators\n\n\n\nAbstract:In this era of specialization\, modern hardware development focuses on domain-specific accelerator design due to the plateau in technology scaling combined with a continual need for performance. However\, domain-specific programming systems for these accelerators require extreme engineering effort\, and their complexity has largely caused them to lag behind. Fundamentally\, the widespread usability\, proliferation\, and democratization of domain-specific accelerators hinge on their programming systems\, especially when targeting new domains.This talk presents research on accelerator programming systems for the emerging domain of sparsity targeting emerging sparse accelerators. The first system\, the Sparse Abstract Machine (SAM)\, introduces a unified abstract machine model and compiler abstraction for sparse dataflow accelerators. SAM defines a novel streaming representation and abstract dataflow interfaces that serve as an abstraction to decouple sparse accelerator implementations from their programs\, similar to a stable ISA for dataflow. The second system\, Mosaic\, introduces modular and portable compilation solutions across different sparse accelerators and high-performance systems. These systems are a first step towards usable and programmable heterogeneous hardware acceleration for all. I will conclude by discussing the next steps to reach this goal\, which include programming systems for accelerators in other domains and interoperation between accelerators across domains. \n\n\n\nOlivia Hsu\n\n\n\nBio:Olivia Hsu is a final-year Computer Science PhD student at Stanford University\, advised by Professors Kunle Olukotun and Fredrik Kjolstad. She received her BS in Electrical Engineering and Computer Science (EECS) at UC Berkeley. Her broad research interests include computer architecture\, computer and programming systems\, compilers\, programming languages\, and digital circuits/VLSI. Olivia is a 2024 Rising Star in EECS and an NSF Graduate Research Fellow\, and her research won a distinguished paper award at PLDI 2023. To learn more about her work\, please visit her website at https://cs.stanford.edu/~owhsu.
URL:/event/ece-rise-seminar-series-ai-for-next-generation-electronics-and-chip-design-olivia-hsu/
LOCATION:1240 Computer Sciences\, 1210 W. Dayton St.\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250225T160000
DTEND;TZID=America/Chicago:20250225T170000
DTSTAMP:20250509T103328
CREATED:20250207T201144Z
LAST-MODIFIED:20250214T190445Z
UID:10001152-1740499200-1740502800@engineering.wisc.edu
SUMMARY:ECE RISE SEMINAR SERIES: Clean Energy Technologies - Dr. Nishil Talati
DESCRIPTION:2255 Engineering Hall \n\n\n\nSystems-Architecture Co-Design for AI and Large-Scale Data Analytics\n\n\n\nAbstractModern computing systems are increasingly bottlenecked by the demands of data-intensive applications such as AI\, data analytics\, and scientific computing. These challenges stem from both the massive scale of data and inefficiencies caused by irregular access patterns. In this talk\, I will present my research on innovative co-design approaches to systems and architectures that tackle these pressing issues. First\, I will introduce Vortex\, a system that accelerates large-scale data analytics on GPUs by orchestrating efficient data transfers across multi-GPU systems\, proposing a concept called GPU resource disaggregation. Then\, I will discuss Prodigy\, a hardware-software co-design framework that minimizes memory stalls in irregular workloads on CPUs through advanced workload analysis and prefetching techniques. Together\, these advances highlight how domain-specific co-design can drive transformative improvements\, addressing fundamental bottlenecks in modern computing. Finally\, I will share my vision for tackling future challenges in scaling AI capabilities and the research directions I am eager to pursue to address them. \n\n\n\nNishil Talati\n\n\n\nBioNishil Talati is an Assistant Research Scientist in the Computer Science and Engineering department at the University of Michigan\, where he also earned his PhD. His research focuses on computer architecture and systems software design to enhance the efficiency of modern data-driven applications. Nishil’s work has been featured in top-tier venues such as ISCA\, MICRO\, HPCA\, ASPLOS\, and VLDB\, and has made a significant impact through industry tech-transfers\, inspiring follow-up research\, and earning several accolades. These include the 2021 HPCA Best Paper Award\, honorable mentions at DATE 2023 and IISWC 2023\, recognition as a 2023 ProQuest Distinguished Dissertation Award finalist\, the Best Faculty Research Pitch Award at MIDAS event in 2023\, and finalist status in the 2022 CSE Honors Competition.
URL:/event/ece-rise-seminar-dr-nishil-talati/
LOCATION:2255 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/Rising-Stars-Seminars-Plain.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250225T171500
DTEND;TZID=America/Chicago:20250225T183000
DTSTAMP:20250509T103328
CREATED:20250213T221203Z
LAST-MODIFIED:20250213T221244Z
UID:10001166-1740503700-1740508200@engineering.wisc.edu
SUMMARY:ISyE - HFES Gen AI 101 with Python
DESCRIPTION:Explore the basics of Generative AI with Python in this beginner-friendly workshop with the Human Factors & Ergonomics Society Student Chapter in UW-Madison. Learn concepts\, practical skills\, and get hands-on experience with Generative AI technologies and their APIs. No prior coding or AI experience needed\, but it will be appreciated!  \n\n\n\n We are going to use Google Colab\, thus no prior installation of any Python IDE is required. \n\n\n\n\nOpen to all\, sign up here!
URL:/event/isye-hfes-gen-ai-101-with-python/
LOCATION:3210 Mechanical Engineering\, 1513 University Avenue\, Madison\, 53706
CATEGORIES:Industrial & Systems Engineering,Student Org Event
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/HFES-GEN-AI-APIs.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20250227T120000
DTEND;TZID=America/Chicago:20250227T130000
DTSTAMP:20250509T103328
CREATED:20250207T204102Z
LAST-MODIFIED:20250214T214624Z
UID:10001153-1740657600-1740661200@engineering.wisc.edu
SUMMARY:ECE RISE SEMINAR SERIES: Clean Energy Technologies - Dr. Noman Bashir
DESCRIPTION:4610 Engineering Hall \n\n\n\nDesigning the Next Generation of Computer Systems for Sustainable AI\n\n\n\nAbstract:Abstract: The key technology trend for the next decade is the transformative potential of artificial intelligence (AI)\, alongside its rapidly growing energy consumption and associated environmental impacts. However\, our longstanding focus on energy efficiency alone will not solve the problem\, and current computer systems powering AI applications are not designed to optimize carbon efficiency — that is\, the amount of work performed per unit of carbon emitted. In this talk\, I will present my work on rethinking how we design and operate computer systems for AI to enable carbon-aware optimizations. I will present my work on virtualizing the energy system to provide both visibility into\, and software-defined control over\, energy systems for computer applications. I will also describe how the proposed abstractions allow a wide range of AI applications to manage the variability of clean energy in software — accommodating diverse user and application requirements\, goals\, strategies\, and tolerances for reducing carbon and energy. I will share my work on uncertainty- aware modeling of lifecycle carbon footprint\, which helps stakeholders in computing and AI assess the discernibility of their decisions. Finally\, I will outline my vision for enabling sustainable AI capabilities in a rapidly evolving landscape of AI hardware and software\, and I will illustrate how these advances can drive broader societal decarbonization. \n\n\n\nNoman Bashir\n\n\n\nBio:Noman Bashir is a Computing & Climate Postdoctoral Impact Fellow at the MIT Computer Science & Artificial Intelligence Laboratory (CSAIL) and the MIT Climate & Sustainability Consortium (MCSC). His research rethinks the design and operation of large-scale computer systems to address emerging challenges\, including rapidly rising computing demand\, increasing energy constraints\, and unintended socio- environmental implications. His work on improving resource utilization — deployed across all Google datacenters — demonstrates significant real-world impact. He earned his Ph.D. from the University of Massachusetts Amherst in 2022.
URL:/event/ece-rise-seminar-dr-noman-bashir/
LOCATION:4610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/Rising-Stars-Seminars-Plain.avif
END:VEVENT
END:VCALENDAR