BEGIN:VCALENDAR VERSION:2.0 PRODID:-//College of Engineering - University of Wisconsin-Madison - ECPv6.11.2.1//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-ORIGINAL-URL: X-WR-CALDESC:Events for College of Engineering - University of Wisconsin-Madison REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:America/Chicago BEGIN:DAYLIGHT TZOFFSETFROM:-0600 TZOFFSETTO:-0500 TZNAME:CDT DTSTART:20250309T080000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0500 TZOFFSETTO:-0600 TZNAME:CST DTSTART:20251102T070000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250303T113000 DTEND;TZID=America/Chicago:20250303T123000 DTSTAMP:20250509T133604 CREATED:20250220T135945Z LAST-MODIFIED:20250226T182151Z UID:10001181-1741001400-1741005000@engineering.wisc.edu SUMMARY:ISyE Engineering Robust & Scalable AI for Healthcare Systems DESCRIPTION:Artificial intelligence (AI) is increasingly used in healthcare to enhance clinical decision-making\,optimize operations\, and improve patient outcomes. However\, real-world deployment of AIsystems presents fundamental engineering challenges\, including dataset shifts\, physician-AIteam dynamics\, and the need for continuous model validation and updating. These challengesthreaten the reliability and scalability of AI tools\, limiting their ability to provide consistent valuein clinical environments. \n\n\n\nIn this talk\, I will present engineering solutions that address these core challenges and enablethe development of AI systems that are both scalable and safe. First\, I will discuss techniquesfor integrating longitudinal patient data into predictive models\, improving their performanceover time. Second\, I will introduce methods to detect and mitigate dataset shifts\, ensuringmodels maintain accuracy when transitioning from development to real-world use. Finally\, I willdescribe a novel rank-based compatibility measure and optimization framework that improvesmodel updating while preserving physician trust and workflow stability. \n\n\n\nBy developing these foundational methods\, my work moves healthcare AI from an artisanal\,model-by-model approach to a scalable engineering discipline. I will conclude by discussingfuture research directions\, including AI personalization for individual physicians and thedevelopment of interactive AI validation systems that continuously adapt based on clinicianfeedback. \n\n\n\n\n\nBio: Erkin Ötleş\, MD\, PhD\, is an engineer with deep medical expertise\, specializing in developingmethods to create scalable and robust artificial intelligence systems for healthcare. Hisresearch addresses the core engineering challenges of AI deployment in real-world clinicalsettings—detecting and mitigating dataset shifts\, designing AI systems that integrateseamlessly into physician workflows\, and creating novel methods for continuous validation andmodel updating. \n\n\n\nDr. Ötleş has developed innovative machine learning techniques to model longitudinal patienttrajectories\, optimize human-AI collaboration in clinical decision-making\, and enhance thesafety and interpretability of AI tools in high-stakes environments. His work has been publishedin leading medical (JAMA Internal Medicine\, The BMJ) and engineering (Machine Learning forHealthcare\, Journal of the American Medical Informatics Association) venues\, demonstratinghis ability to bridge theoretical advancements with practical implementation. His research hasalso been widely covered by the lay press\, including NPR\, WIRED\, and STAT News\,underscoring its broad societal impact. \n\n\n\nAs an engineer and a physician\, Dr. Ötleş brings a unique systems perspective to AI inhealthcare. His work aims to transition healthcare AI development\, evaluation\, andimplementation from an artisanal\, model-by-model process to a scalable engineering discipline—ensuring that AI tools used in medicine are not only powerful and plentiful but also safe\,reliable\, and adaptable to dynamic clinical environments. URL:/event/engineering-robust-scalable-ai-for-healthcaresystems/ LOCATION:1153 Mechanical Engineering\, 1513 University Ave\, Madison\, WI\, 53706\, United States CATEGORIES:Colloquium,Industrial & Systems Engineering ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/Otlesgraphic.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250303T120000 DTEND;TZID=America/Chicago:20250303T130000 DTSTAMP:20250509T133604 CREATED:20250204T171959Z LAST-MODIFIED:20250211T191336Z UID:10001143-1741003200-1741006800@engineering.wisc.edu SUMMARY:BME Seminar Series: Jacob Witten\, PhD DESCRIPTION:Artificial intelligence for state-of-the-art gene therapy\n\n\n\n\n\n\n\nJacob Witten\, PhDPostdoctoral FellowAnderson LabMassachusetts Institute of Technology \n\n\n\nAbstract:Lipid nanoparticles (LNPs) for RNA delivery have exploded onto the biomedical research scene with the success of mRNA vaccines for COVID-19. In addition to their promise as mRNA vaccines for infectious disease and cancer\, LNPs have the potential to treat or cure patients with deadly lung diseases such as cystic fibrosis. However\, gene therapy in the lung is a notoriously difficult challenge that has frustrated decades of researchers. Here\, I take two approaches to identifying LNPs capable of addressing this challenge. First\, I developed an in vitro primary cell platform to screen LNPs for lung mRNA delivery and identify two state-of-the-art LNPs for respiratory tract delivery to mice. Second\, I developed Lipid Optimization using Neural networks (LiON)\, a deep learning strategy for LNP design. Using LiON I evaluated 1.6 million possible LNPs and identified two\, FO-32 and FO-35\, with mRNA delivery matching that of LNPs in ongoing clinical trials. Overall\, this work shows the potential of deep learning to bring gene therapy to patients suffering from genetic disease. \n\n\n\nPrint PDF URL:/event/bme-seminar-series-jacob-witten-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:20250303T120000 DTEND;TZID=America/Chicago:20250303T130000 DTSTAMP:20250509T133604 CREATED:20250225T204331Z LAST-MODIFIED:20250227T164335Z UID:10001190-1741003200-1741006800@engineering.wisc.edu SUMMARY:ECE RISE SEMINAR SERIES: Trustworthy AI – Dr. Lydia Zakynthinou DESCRIPTION:2534 Engineering Hall \n\n\n\nAlgorithmic Stability for Trustworthy Machine Learning and Statistics\n\n\n\nAbstract:Data-driven systems hold immense potential to positively impact society\, but their reliability remains a challenge. Their outputs are often too brittle to changes in their training data\, leaving them vulnerable to data poisoning attacks\, prone to leaking sensitive information\, or susceptible to overfitting. Establishing fundamental principles for designing algorithms that are both stable—to mitigate these risks—and efficient in their use of resources is essential for enabling trustworthy data-driven systems.In this talk\, I will focus on statistical estimation under differential privacy—a rigorous framework that ensures data-driven system outputs do not reveal sensitive information about individuals in their input. I will present algorithmic techniques that take advantage of beneficial structure in the data to achieve optimal error for several multivariate tasks without requiring any prior information about the data\, by building on robustness against data poisoning attacks. Lastly\, I will highlight the deeper connection between differential privacy and robustness that underpins these results. \n\n\n\n\n\n\n\nBio:Lydia Zakynthinou is a FODSI postdoctoral research fellow in the Simons Institute for the Theory of Computing at UC Berkeley\, hosted by Michael I. Jordan. She earned her Ph.D. in Computer Science from Northeastern University under the supervision of Jonathan Ullman and Huy Nguyen. Her research lies in trustworthy machine learning and statistics\, with a focus on data privacy and generalization\, and has been recognized with a Meta PhD fellowship and a Khoury PhD Research Award. She holds a diploma in Electrical and Computer Engineering from NTUA and a MSc in Logic\, Algorithms\, and Theory of Computation from NKUA in Greece. URL:/event/ece-rise-seminar-series-trustworthy-ai-dr-lydia-zakynthinou/ LOCATION:2534 Engineering Hall\, 1415 Engineering Drive\, Madison\, Wisconsin\, 53706\, United States 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:20250303T180000 DTEND;TZID=America/Chicago:20250303T190000 DTSTAMP:20250509T133604 CREATED:20250226T181755Z LAST-MODIFIED:20250226T181951Z UID:10001192-1741024800-1741028400@engineering.wisc.edu SUMMARY:ISyE - An evening with industry - GRAINGER x IISE DESCRIPTION:Grainger representatives are excited to share the various career paths and opportunities that they have to offer. They will also be sharing their experiences working for Grainger and would be happy to answer any questions. This evening is hosted by the Institute of Industrial and Systems Engineering (IISE) student chapter. \n\n\n\nThere will also be a case study to apply your engineering skills. Case studies are accounts of real engineering situations and projects that provide a context for you to practice your problem-solving skills. URL:/event/isye-an-evening-with-industry-grainger-x-iise/ LOCATION:1106 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711 CATEGORIES:Departments,Industrial & Systems Engineering,Information Session,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:20250304T122000 DTEND;TZID=America/Chicago:20250304T125000 DTSTAMP:20250509T133604 CREATED:20241227T220136Z LAST-MODIFIED:20250123T221755Z UID:10001077-1741090800-1741092600@engineering.wisc.edu SUMMARY:ECE Discovery Panel: Semiconductor Engineering DESCRIPTION:Engineering undergraduates! Join us in the Cheney Room (1413 Engineering Hall) as faculty members explore the technical area of Semiconductor Engineering! All undergraduate students are welcome as Assistant Professor Chirag Gupta\, Professor Umit Yusuf Ogras\, and Assistant Professor Eric Tervo 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-semiconductor-engineering/ 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-1-jpg.webp END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250305T120000 DTEND;TZID=America/Chicago:20250305T130000 DTSTAMP:20250509T133604 CREATED:20250220T173300Z LAST-MODIFIED:20250220T173302Z UID:10001182-1741176000-1741179600@engineering.wisc.edu SUMMARY:ECE RISE SEMINAR SERIES: Trustworthy AI - Dr. Mahdi Haghifam DESCRIPTION:4610 Engineering Hall \n\n\n\nThe Interplay of Generalization\, Memorization\, and Privacy in Trustworthy Machine Learning\n\n\n\nAbstract:Machine learning is transforming numerous aspects of modern society\, and its increasing use in high-stakes applications necessitates responsible development. In this talk\, I will present my research on the foundations and methodologies for building trustworthy ML\, focusing on three interconnected challenges: generalization\, memorization\, and privacy. First\, I will explore generalization: how can we ensure that ML models reliably predict on unseen data? I will discuss my work on developing novel information-theoretic measures to characterize and reason about generalization. Next\, I will examine data memorization\, showing how it can coexist with generalization and may even be necessary for accurate learning. Finally\, I will focus on differential privacy\, a rigorous framework for mitigating data memorization\, and present my work on designing differentially private optimization algorithms. I will conclude by discussing key open questions in the area of trustworthy ML. \n\n\n\nMahdi Haghifam\n\n\n\nBio:Mahdi Haghifam is a Distinguished Postdoctoral Researcher at Khoury College of Computer Sciences\, Northeastern University\, hosted by Jonathan Ullman. He received his PhD from the University of Toronto and the Vector Institute\, where he was advised by Daniel M. Roy. Mahdi’s research focuses on the foundations and algorithms of trustworthy machine learning\, particularly in the areas of privacy\, generalization\, and memorization. During his PhD\, he worked as a research intern at Google Brain and ServiceNow Research. His contributions have been recognized with a Best Paper Award at ICML 2024 and several fellowships from the University of Toronto. URL:/event/ece-rise-seminar-series-trustworthy-ai-dr-mahdi-haghifam/ 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:20250305T120000 DTEND;TZID=America/Chicago:20250305T130000 DTSTAMP:20250509T133604 CREATED:20250304T213151Z LAST-MODIFIED:20250304T213156Z UID:10001198-1741176000-1741179600@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-3/ 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:20250305T180000 DTEND;TZID=America/Chicago:20250305T210000 DTSTAMP:20250509T133604 CREATED:20250129T191118Z LAST-MODIFIED:20250305T175344Z UID:10000759-1741197600-1741208400@engineering.wisc.edu SUMMARY:Event Cancelled: UW-Madison CEE Alumni Night in Minnesota DESCRIPTION:Due to inclement weather moving through the region\, the Alumni Night at Mortenson scheduled for Wednesday\, March 5\, from 6:00-9:30 pm\, is cancelled. \n\n\n\nWe look forward to visiting our Minnesota Badger community another time and hope you can join us. \n\n\n\n\n\n\n\nThank you to our event sponsor! URL:/event/uw-madison-cee-alumni-night-in-minnesota/ CATEGORIES:Alumni events,Civil & Environmental Engineering,Social Event ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/01/IMG_5356-Enhanced-NR.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250306T120000 DTEND;TZID=America/Chicago:20250306T130000 DTSTAMP:20250509T133604 CREATED:20250204T172126Z LAST-MODIFIED:20250211T191659Z UID:10001144-1741262400-1741266000@engineering.wisc.edu SUMMARY:BME Seminar Series: Arash Farhad\, PhD DESCRIPTION:Engineering multistate trackable cells for smart precision therapeutics\n\n\n\n\n\n\n\nArash Farhadi\, PhDPostdoctoral ScholarVoigt LabMassachusetts Institute of Technology \n\n\n\nAbstract:The engineering of immune cells and microbes into living therapeutics is emerging as a powerful approach for treating many diseases. However\, two key challenges must be addressed to unlock the full potential of living therapeutics: intricately programming cells to perform diverse therapeutic tasks\, and effectively monitoring them once administered to the body. My research provides the foundation to address these major challenges. In my presentation\, I will outline how cells can be engineered to differentiate into multistate communities with distributed functions\, using Synthetic Differentiation circuits. The biomolecular mechanism of Synthetic Differentiation circuits can be engineered to tune the community composition\, expand the number of unique states\, and replenish population imbalances in the community. I will highlight examples demonstrating the versatility of these circuits in applications spanning living therapeutics and agricultural biotechnology. Additionally\, I will demonstrate noninvasive methods for tracking the location and function of cells deep in the body. Most methods to image cells rely on light\, which has limited penetration depth. Conversely\, ultrasound can image deep in tissue but lacks genetic reporters. I will introduce the first acoustic reporter genes (ARGs)—a ‘GFP’ for ultrasound—that enable imaging of cells and their gene expression inside the living\, intact animal. Together\, these technologies will enable next-generation living therapeutics capable of simultaneously targeting many disease hallmarks while providing real-time feedback to scientists and clinicians. \n\n\n\nPrint PDF URL:/event/bme-seminar-series-arash-farhad-phd/ LOCATION:2180 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:20250306T120000 DTEND;TZID=America/Chicago:20250306T130000 DTSTAMP:20250509T133604 CREATED:20250219T220011Z LAST-MODIFIED:20250303T173344Z UID:10001178-1741262400-1741266000@engineering.wisc.edu SUMMARY:NEEP Seminar: Dean Price\, Idaho National Laboratory DESCRIPTION:Thursday\, March 612:00-1:00pmERB 106Remote Participation: Please contact office@ep.wisc.edu for the Zoom link. \n\n\n\n\n\n\n\nTitle: AI Founded on Physics \n\n\n\nAbstract: The nuclear industry sits firmly between seeing the significant benefit of Artificial Intelligence (AI) technologies and guarding against the challenges these novel technologies could create. The path forward lies in the use of AI methods firmly grounded in the physical principles governing conventional physics-based simulations. This seminar will explore ways in which Physics-INformed (PIN) machine learning and AI models for the analysis of fission-based reactor systems can aid the rapidly growing industry in its pursuit of safe and economical reactor development. A special focus will be given to the formulation of some AI models under a PIN framework such that the discussed methods can be applied to a wide variety of scenarios. Practical applications of these models\, such as optimizing reactor performance and dynamics characterization\, will also be discussed. \n\n\n\n\n\n\n\nSpeaker: Dean Price\, Idaho National Laboratory \n\n\n\nBio: Dean Price is a Russell L. Heath distinguished postdoctoral associate at Idaho National Laboratory in the Reactor Physics Methods and Analysis Group. He holds a PhD in Nuclear Engineering and Radiological Science from the University of Michigan where he was awarded fellowships from both the National Science Foundation as well as the Nuclear Energy University Program. He has published 20 articles in peer-reviewed journals along with numerous conference papers and technical reports. His research interests focus on the integration of high fidelity multiphysics simulations with data driven methods to support the development and deployment of advanced reactors. \n\n\n\nThis seminar is presented by the Institute for Nuclear Energy Systems and the Nuclear Engineering & Engineering Physics Department. URL:/event/neep-seminar-dean-price-idaho-national-laboratory/ CATEGORIES:Nuclear Engineering & Engineering Physics ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/NEEP-Seminar-Series_Events-Page-Feature-Image.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250306T160000 DTEND;TZID=America/Chicago:20250306T170000 DTSTAMP:20250509T133604 CREATED:20241226T153338Z LAST-MODIFIED:20241226T160724Z UID:10001061-1741276800-1741280400@engineering.wisc.edu SUMMARY:ME 903 Graduate Seminar: Professor Deema Totah 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 Deema Totah is a professor at the University of Iowa. URL:/event/me-903-graduate-seminar-professor-deema-totah/ 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:20250307T095500 DTEND;TZID=America/Chicago:20250307T104500 DTSTAMP:20250509T133604 CREATED:20250220T213808Z LAST-MODIFIED:20250220T213811Z UID:10001183-1741341300-1741344300@engineering.wisc.edu SUMMARY:Welcome Back\, Badger - Jeff Roznowski DESCRIPTION:Please help us welcome Alumnus Jeff Roznowski (BSIE\, MBA) as he shares insight from his professional journey since graduating from UW-ISyE. \n\n\n\nAll students are welcome! \n\n\n\nJeff Roznowski\n\n\n\nJeff worked for many years in the telecommunications industry\, culminating in his leadership role as President & Co-Founder of the Wisconsin Wireless Association. He is a former adjunct professor at MSOE\, and is also a passionate public servant who has volunteered his leadership and expertise to several civic\, government and philanthropic organizations. URL:/event/welcome-back-badger-jeff-roznowski/ LOCATION:1800 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53706 CATEGORIES:Alumni events,Featured Guest Speaker,Industrial & Systems Engineering ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/Generic-announcement.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250307T110000 DTEND;TZID=America/Chicago:20250307T120000 DTSTAMP:20250509T133604 CREATED:20250227T222200Z LAST-MODIFIED:20250306T193623Z UID:10001193-1741345200-1741348800@engineering.wisc.edu SUMMARY:ECE Research Seminar Series: Dr. Rich Mildren DESCRIPTION:2239 Engineering Hall \n\n\n\nSub-monolayer manipulation of diamond surfaces using a two-photon technique\n\n\n\nAbstract:Engineering the termination and defects of diamond surfaces are important for quantum computing and sensing\, and electronic applications. Techniques for manipulating the surface include processes based on plasma\, chemical\, electron and ion beams\, and laser treatments. Although laser writing offers a convenient technique for defining complex surface patterns\, its applications have been limited due to poor depth resolution and contamination via graphitization. We describe an unusual non-ablative UV laser direct-write technique for manipulating the surface chemistry and etching top-layers with sub-monolayer precision. This effect\, which appears to be unique to diamond\, is interesting from a surface physics perspective as well as applications in nano-scale engineering of diamond surfaces. The talk will describe the phenomenology of the process\, and provide an example of where the process can be used to enhance surface electronics.  \n\n\n\nRich Mildren\n\n\n\nBiography:Rich Mildren is a Professor of Physics in the School of Mathematical and Physical Sciences\, Macquarie University. His research is in the development of novel and versatile photonic sources\, instrumentation and applications. His PhD (1997) and early postdoctoral research (1998-2004) was in the plasma kinetics of high-power gas lasers. During this period\, he was a visiting fellow at the National Research Council in Pisa\, Italy. For 3 years (2005-2008) he led R&D for a University spin-off company in wavelength-switchable medical lasers\, during which time he brought several medical laser products through to the stage of medical device regulatory approval. His most recent focus\, conducted in the MQ Photonics Research Centre\, is in photonics using advanced materials such as diamond. He has six awarded patents and authored 150+ peer-reviewed journal articles. He was the recipient of the Australian Museum Eureka Award for Outstanding Science for Safeguarding Australia in 2017 and elected an OSA Fellow in 2018. \n\n\n\nDr. Mildren’s visit is hosted by ECE Dugald C. Jackson Assistant Professor Jennifer Choy. URL:/event/ece-research-seminar-series-dr-rich-mildren/ LOCATION:2239 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711 CATEGORIES:Electrical & Computer Engineering ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/ECE-Research-Seminar-Series.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250307T120000 DTEND;TZID=America/Chicago:20250307T130000 DTSTAMP:20250509T133604 CREATED:20250218T155020Z LAST-MODIFIED:20250228T180706Z UID:10001169-1741348800-1741352400@engineering.wisc.edu SUMMARY:ECE RISE SEMINAR SERIES: Trustworthy AI - Chulin Xie DESCRIPTION:Via Zoom \n\n\n\nImproving Trustworthiness in Foundation Models: Assessing\, Mitigating\, and Analyzing ML Risks\n\n\n\nAbstractAs machine learning (ML) models continue to scale in size and capability\, they expand the surface area for safety and privacy risks\, raising concerns about model trustworthiness and responsible data use. My research uncovers and mitigates these risks. In this presentation\, I will focus on the three cornerstones of trustworthy foundation models and agents: safety\, privacy\, and generalization. For safety\, I will introduce our comprehensive benchmarks designed to evaluate trustworthiness risks in Large Language Models (LLMs) and LLM-based code agents. For privacy\, I will present a solution for protecting data privacy with a synthetic text generation algorithm under differential privacy guarantees. The algorithm requires only LLMs inference API access without model training\, enabling efficient safe text sharing. For generalization\, I will introduce our study on the interplay between the memorization and generalization of LLMs in logical reasoning during the supervised fine-tuning (SFT) stage. Finally\, I will conclude with my future research plan for assessing and improving trustworthiness in foundation model-powered ML systems. \n\n\n\nChulin Xie\n\n\n\nBioChulin Xie is a PhD candidate in Computer Science at the University of Illinois Urbana-Champaign\, advised by Professor Bo Li. Her research focuses on the principles and practices of trustworthy machine learning\, addressing the safety\, privacy\, and generalization risks of Foundation Models\, agents\, and federated (distributed) learning. Her work was recognized by an Outstanding Paper Award at NeurIPS 2023\, a Best Research Paper Finalist at VLDB 2024\, and press coverage like The Verge and TechCrunch. She was a recipient of 2024 Rising Star in Machine Learning and IBM PhD Fellowship. During her PhD\, she gained industry experience through research internships at NVIDIA\, Microsoft\, and Google. \n\n\n\n\nZoom Link URL:/event/ece-rise-seminar-series-trustworthy-ai-chulin-xie/ 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:20250307T120500 DTEND;TZID=America/Chicago:20250307T125500 DTSTAMP:20250509T133604 CREATED:20241226T165228Z LAST-MODIFIED:20241226T174558Z UID:10001070-1741349100-1741352100@engineering.wisc.edu SUMMARY:Mechanics Seminar Series: Professor Nicholas Boechler 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 Nicholas Boechler is a professor at the University of California San Diego. URL:/event/mechanics-seminar-series-professor-nicholas-boechler/ 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-11-jpg.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250310T120000 DTEND;TZID=America/Chicago:20250310T130000 DTSTAMP:20250509T133604 CREATED:20250304T213440Z LAST-MODIFIED:20250304T213444Z UID:10001199-1741608000-1741611600@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-7/ 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:20250311T120000 DTEND;TZID=America/Chicago:20250311T130000 DTSTAMP:20250509T133604 CREATED:20250213T155158Z LAST-MODIFIED:20250218T155219Z UID:10001162-1741694400-1741698000@engineering.wisc.edu SUMMARY:ECE Seminar Series in Advanced Semiconductor Materials and Devices - Dr. Bei Shi DESCRIPTION:4610 Engineering Hall \n\n\n\nMonolithic Integration of III-V Optoelectronic Devices on Silicon by SelectiveArea Heteroepitaxy\n\n\n\nAbstract:Silicon photonics is a cornerstone of next-generation data communications\, heterogeneous computing\, and quantum technologies\, enabling large-scale photonic integration. On-chip optical interconnects in photonic integrated circuits (PICs) overcome the limitations of electronic interconnects\, providing higher transmission speeds and bandwidth. However\, silicon’s indirect bandgap restricts its optoelectronic performance\, necessitating the heterogeneous integration of III-V compound semiconductors to enhance PIC functionality\, reduce energy consumption\, and enable scalable applications. In this seminar\, I will present my research on wafer-scale monolithic integration of III-V optoelectronic devices on silicon photonic chips leveraging advanced heteroepitaxy techniques. This includes high-quality III-V heteroepitaxy on silicon\, with a focus on quantum dot (QD) lasers and indium gallium arsenide (InGaAs) shortwave infrared photodetectors. I will also introduce selective area heteroepitaxy of QD lasers on large- scale silicon photonic wafers and their monolithic integration with silicon nitride waveguides for low-loss facet coupling. Finally\, I will discuss future perspectives on novel III-V/Si heteroepitaxy and integration architectures for energy-efficient AI and quantum information processors. \n\n\n\nBei Shi\n\n\n\nBio:Bei Shi is a Principal Scientist at Aeluma\, Inc.\, a Santa Barbara-based startup commercializing large-scale III-V materials and devices integration on silicon\, and a Research Specialist at University of California\, Santa Barbara (UCSB). He earned his Ph.D. from The Hong Kong University of Science and Technology (HKUST) in 2018\, advised by Prof. Kei May Lau\, and later joined UCSB as a postdoctoral scholar under Prof. Jonathan Klamkin. His research focuses on heterogeneous integration of silicon photonics via advanced heteroepitaxy\, quantum dot lasers for AI hardware and data centers\, and shortwave infrared avalanche photodetectors for LiDAR\, sensing\, and quantum applications. Dr. Shi has authored 70+ journal and conference papers (Optica\, ACS Photonics\, APL)\, delivered three invited talks and served as a session chair/committee member at major international conferences. Additionally\, Dr. Shi filed six U.S. patents\, served as a Guest Editor for MDPI Crystals/Sensors\, and received the 2019 Charles Kao Best Paper Award in Industry Innovation. He is also a Principal Investigator leading DoD- and NASA-funded projects to develop monolithic integration of quantum dot lasers on scalable silicon photonics platforms for diverse cutting-edge applications. URL:/event/ece-seminar-series-in-advanced-semiconductor-materials-and-devices-dr-bei-shi/ LOCATION:4610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711 CATEGORIES:Electrical & Computer Engineering ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/Rising-Stars-Seminars-Plain-1.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250311T120000 DTEND;TZID=America/Chicago:20250311T130000 DTSTAMP:20250509T133604 CREATED:20250219T220654Z LAST-MODIFIED:20250303T212937Z UID:10001179-1741694400-1741698000@engineering.wisc.edu SUMMARY:NEEP Seminar: Ashish Avachat\, University of Pittsburgh DESCRIPTION:Tuesday\, March 1112:00-1:00pmERB 106Remote Participation: Please contact office@ep.wisc.edu for the Zoom link. \n\n\n\n\n\n\n\nTitle: Radiation-based Computational Imaging and Ontology \n\n\n\nAbstract: In recent years\, the modern smart phone cameras have leapfrogged the traditional cameras by employing the principles of computational imaging. Similar to the distinctions between such computational photography and the traditional photography\, the radiation-based computational imaging and its traditional counterpart have two major distinctions. One\, radiation-based computational imaging systems utilize a tight integration of instrumentation\, for example\, radiation source and image acquisition system\, with the computer algorithms that are used for image formation\, reconstruction\, and analyses. And\, two\, radiation-based computational imaging systems use joint-optimization of the said instrumentation and algorithms to improve the image quality. By using this twofold philosophy of computational imaging comprising tight integration and joint-optimization–wherein we apply computational methods to the noisy\, incomplete\, and perhaps distorted raw measurements that are acquired at a minimum costs of time and radiation–we can reconstruct a “true image” with the best possible image quality for a given imaging task\, for example\, nuclear fuel characterization for fuel qualification. Given the surge of interest in nuclear energy and development of new generation of nuclear reactors\, at the core of which are the nuclear test fuels and materials\, I believe that the nuclear fuel and materials characterization is the cornerstone of a resilient and sustainable energy future. Because of the complexity of the nuclear fuels\, especially during and after irradiation\, they are considered to be one of the most challenging objects for imaging and analysis. Overcoming these challenges will not only deepen our understanding of nuclear fuels but also stimulate the development of imaging and analysis techniques that are applicable to a broader spectrum of objects across various engineering and scientific disciplines. And\, the lessons learned from the development and optimization of these imaging and analysis techniques for non-nuclear applications will directly benefit nuclear fuel and materials characterization. Therefore\, research on nuclear fuel characterization and on development of radiation-based imaging systems exist in a mutualistic symbiosis. In this seminar\, I will present my contributions to the fields of radiation-based computational imaging and nuclear fuel characterization. With these past contributions as a backdrop\, I will then discuss my future research thrusts\, which are directed at capitalizing the mutualist symbiosis between nuclear fuel and materials characterization and development of innovative imaging and analysis techniques to contribute significantly to nuclear engineering and engineering physics and beyond. \n\n\n\n\n\n\n\nSpeaker: Ashish Avachat\, University of Pittsburgh \n\n\n\nBio: Ashish Avachat is a research assistant professor in the Department of Mechanical Engineering and Materials Science at the University of Pittsburgh. His research is dedicated to developing radiation-based computational imaging systems and noise-robust ontology techniques for better characterizing objects—in their natural states—from nuclear engineering and other engineering and science disciplines. Prior to joining the University of Pittsburgh\, Ashish was a postdoctoral research fellow at the University of Illinois Urbana-Champaign. Ashish received his M.S. and Ph.D. in Nuclear Engineering from the Missouri University of Science and Technology. \n\n\n\nThis seminar is presented by the Institute for Nuclear Energy Systems and the Nuclear Engineering & Engineering Physics Department. URL:/event/neep-seminar-ashish-avachat-university-of-pittsburgh/ CATEGORIES:Nuclear Engineering & Engineering Physics ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/NEEP-Seminar-Series_Events-Page-Feature-Image.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250312T120000 DTEND;TZID=America/Chicago:20250312T130000 DTSTAMP:20250509T133604 CREATED:20250304T141541Z LAST-MODIFIED:20250304T141705Z UID:10001197-1741780800-1741784400@engineering.wisc.edu SUMMARY:ECE RISE SEMINAR SERIES: Clean Energy Technologies - Dr. Dorsa Talebi DESCRIPTION:4610 Engineering Hall \n\n\n\nElectrical Drive Systems: Lightweight and Scalable Propulsion for Aerospace and Sustainable Energy\n\n\n\nAbstract:As AI and machine learning revolutionize software and computing\, as our transportation is being electrified\, global energy needs are growing dramatically. At the core of energy conversion and motion systems\, electrical drive systems are the unsung heroes—powering everything from the wheels of electric cars to the propellers that lift air taxis into the sky to the emerging humanoid robots. This presentation will outline the developments to shape the next era of electric drive systems for air vehicle electrification and sustainable energy.Join this talk to explore how non-traditional axial flux machines are pushing the boundaries of electric powertrain technology\, achieving an unprecedented 14.8 kW/kg power-to-mass ratio—nearly three times the state-of-the-art 5 kW/kg benchmark of commercial systems today. This breakthrough is made possible through amultidisciplinary integration of electric machine design\, advanced thermal management\, and next-generation manufacturing techniques\, delivering over 94% efficiency at the takeoff for an aircraft flight profile and redefining what’s possible for electric transportation in the future.Beyond aviation\, electrification of transportation presents new challenges\, including geopolitical concerns surrounding rare-earth materials. This talk will introduce the development of rare-earth-free motors\, a transformative step toward sustainable electrification—impacting not only traction motors but also renewable energy applications like wind turbine generators. This innovation builds upon conventional wound-field synchronous machines but eliminates the need for additional mechanical or electrical exciters. Instead\, by leveraging existing stationary coil sets and systematic harmonic injection\, the excitation magnetic field is generated on the rotor without the use of brushes or permanent magnets. This novel approach merges the fundamentals of conventional electric machines with a modern harmonic excitation approach and simple and robust rotating power electronics.The presentation will conclude with a summary of upcoming research trends and opportunities. \n\n\n\n\n\n\n\nBio:Dorsa Talebi earned her Ph.D. in Electrical and Computer Engineering from Texas A&M University in 2024 under the supervision of Prof. Toliyat. Her research focuses on advancing unconventional electric machine designs\, with integrated cooling systems\, particularly axial flux machines\, to enable hyper-efficient\,lightweight solutions for aircraft propulsion\, drones\, robotics\, and more. During her graduate studies\, Dorsa gained industry experience in powertrain R&D through internships at Tesla and Lucid Motors and co-invented a rare-earth-free electric machine\, addressing material sustainability challenges while achieving high-performance electric drive systems for electric traction and renewable energy applications\, supported by Texas A&M’s Advancing Discovery to Market (ADM) funding. Her expertise spans electric machine design and the multidisciplinary co-design of power electronic converter\, thermal management systems\, and structural components.Dorsa holds multiple issued U.S. patents and patent applications and has authored multiple papers published in various IEEE conferences and journals. Her achievements include several awards and scholarships\, such as the Texas A&M Energy Institute Graduate Fellowship. Dorsa is currently a postdoctoral fellow at the Advanced Electrical Machines & Power Electronics (EMPE) Lab at Texas A&M University. URL:/event/ece-rise-seminar-series-clean-energy-technologies-dr-dorsa-talebi/ 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:20250312T120000 DTEND;TZID=America/Chicago:20250312T130000 DTSTAMP:20250509T133604 CREATED:20250304T213651Z LAST-MODIFIED:20250304T213654Z UID:10001200-1741780800-1741784400@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-8/ 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:20250312T160000 DTEND;TZID=America/Chicago:20250312T170000 DTSTAMP:20250509T133604 CREATED:20250212T142440Z LAST-MODIFIED:20250212T143131Z UID:10001157-1741795200-1741798800@engineering.wisc.edu SUMMARY:Artificial Intelligence in Research: Ethical Challenges and Considerations DESCRIPTION:Wednesday\, March 12 at 4:00pmEngineering Hall 2309 \n\n\n\nHost: Dr. Carolina Quintana-Kuether \n\n\n\nGuest Speaker: Laura Grossenbacher\, Director of Undergraduate Program Review and Director of Technical Communication Program in the College of Engineering \n\n\n\nTitle: Artificial Intelligence in Research: Ethical Challenges and Considerations \n\n\n\nAbstract: As AI tools become more available and essential in modern engineering\, it is crucial for students and professionals alike to understand not only the benefits but also the ethical challenges that arise. Whether you are a student new to AI or an experienced researcher\, this discussion will deepen your understanding of the ethical considerations and impact of AI technologies in society\, research integrity\, and the future of engineering. Join us for this compelling session and take away practical insights that will guide you as you navigate this exciting\, yet complex\, world of AI in your work. \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. \n\n\n\nSince 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:/event/artificial-intelligence-in-research-ethical-challenges-and-considerations/ CATEGORIES:Nuclear Engineering & Engineering Physics ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/Grossenbacher_AI-in-Research.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250312T180000 DTEND;TZID=America/Chicago:20250312T190000 DTSTAMP:20250509T133604 CREATED:20250305T160710Z LAST-MODIFIED:20250311T152343Z UID:10001202-1741802400-1741806000@engineering.wisc.edu SUMMARY:ISyE- Make pins for Pi(e) day! DESCRIPTION:2255 Engineering Hall \n\n\n\nHave you ever wanted a customized pin to put on your backback\, hat\, or totebag? Now you can with IISE! We will have all the supplies for you to create designs of your choice to make your very own pins for an early Pi Day celebration! Speaking of Pi\, we will have FREE PIE at this event! Come by for an exciting Pin Social with Pi(e). URL:/event/isye-make-pins-for-pie-day/ LOCATION:2255 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711 CATEGORIES:Industrial & Systems Engineering,Social Event,Student Org Event ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/03/PI-Day-2-1.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250313T120000 DTEND;TZID=America/Chicago:20250313T130000 DTSTAMP:20250509T133604 CREATED:20250219T215147Z LAST-MODIFIED:20250311T210004Z UID:10001174-1741867200-1741870800@engineering.wisc.edu SUMMARY:NEEP Seminar: Sébastien Philippe\, Princeton University DESCRIPTION:Thursday\, March 13 12:00 – 1:00pmERB 106Remote Participation: Please contact office@ep.wisc.edu for the Zoom link. \n\n\n\n\n\n\n\nTitle: Reducing Global Nuclear Risks Through Science\, Engineering\, and Policy \n\n\n\nAbstract: Global nuclear risks—including nuclear weapons use\, proliferation\, and arms racing—are growing amid renewed geopolitical tensions. Addressing these challenges requires an interdisciplinary framework that integrates scientific modeling\, engineering innovation\, and policy analysis. In this talk\, I will discuss how nuclear weapon effects modeling and verification technologies can guide risk-reduction strategies. I will present recent work using atmospheric transport and dispersion methods to model fallout from nuclear explosions—including historical tests like Trinity—and assess the humanitarian and environmental consequences of nuclear war. I will also highlight how integrating radiation detection\, remote sensing\, and cryptographic protocols can overcome verification challenges and enable new strategic arms control initiatives. Finally\, I will outline a research agenda integrating space-based sensors and robotics to enhance nuclear safeguards and monitoring as well as advancing engineering level-code to support the safe deployment of fusion energy and next-generation nuclear technologies. \n\n\n\n\n\n\n\nSpeaker: Sébastien Philippe\, Princeton University \n\n\n\nBio: Dr. Sébastien Philippe is a Research Scholar and Co-Principal Investigator at Princeton University’s Program on Science and Global Security (SGS)\, where he develops technical solutions to assess and reduce nuclear weapon risks. He earned his Ph.D. in Mechanical and Aerospace Engineering from Princeton and completed his postdoctoral training at Harvard. Before his academic career\, he worked as a nuclear weapon system safety engineer for the French Ministry of Armed Forces. Dr. Philippe is the author of an award-winning book on the legacy of French nuclear testing in the Pacific\, as well as two dozen peer-reviewed publications and major technical and policy reports on fissile materials and nuclear weapons issues. He regularly briefs policymakers and speaks at the United Nations\, where he currently serves as a scientific advisor. His work has been featured in The New York Times\, CNN\, Science\, Nature and other major media outlets worldwide. This year\, Dr. Philippe is receiving the 2025 Joseph A. Burton Forum Award from the American Physical Society\, recognizing “outstanding contributions to the public understanding and resolution of issues at the interface of physics and society.” \n\n\n\nThis seminar is presented by the Institute for Nuclear Energy Systems and the Nuclear Engineering & Engineering Physics Department. URL:/event/neep-seminar-sebastien-philippe-princeton-university/ CATEGORIES:Nuclear Engineering & Engineering Physics ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/NEEP-Seminar-Series_Events-Page-Feature-Image.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250313T120000 DTEND;TZID=America/Chicago:20250313T130000 DTSTAMP:20250509T133604 CREATED:20250225T222229Z LAST-MODIFIED:20250227T155843Z UID:10001191-1741867200-1741870800@engineering.wisc.edu SUMMARY:BME Seminar Series: Wei Qiu DESCRIPTION:Understanding Aging at Multi-scale Using Explainable AI\n\n\n\n\n\n\n\nWei QiuPhD CandidateComputer Science and Engineering DepartmentUniversity of Washington \n\n\n\nAbstract:As human lifespans continue to extend\, it becomes increasingly critical to understand the aging process not only to increase lifespan but also to enhance healthspan. This talk explores how Artificial Intelligence (AI)\, coupled with Explainable AI (XAI)\, can illuminate the complex mechanisms of aging at multiple scales\, enhancing our ability to predict and explain these processes transparently. \n\n\n\nFirst\, I will introduce my work in AI for personalized health insights. I will present the ENABL Age framework\, which integrates AI and XAI to provide precise and interpretable assessments of biological aging. This model not only estimates biological age but also explicates the factors contributing to aging\, offering insights for personalized health strategies. \n\n\n\nSecond\, I will discuss my AI innovations in omics data analysis\, with a focus on cancer as an age-related disease. I have designed DeepProfile\, which analyzes large-scale cancer datasets to identify key biomarkers and pathways\, enhancing our approach to precision oncology. Additionally\, I have developed StrastiveVI\, which further isolates aging-related signals from single-cell transcriptomic data\, revealing universal aging patterns and facilitating targeted anti-aging interventions. \n\n\n\nThird\, the discussion will turn to our pioneering work in the automated generation of plain language\, democratizing access to complex biomedical findings and enhancing public health literacy. This work advances biomedical communication by enabling more comprehensible health-related information. \n\n\n\nIn conclusion\, I will outline a vision for future directions in integrating transparent AI with aging research. This effort requires extensive collaboration across biology\, clinical science\, AI research\, public health\, and data science. Emphasizing a multidisciplinary approach\, we aim to address the complex challenges associated with aging\, paving the way for innovative solutions that not only enhance the precision but also the accessibility of healthcare. \n\n\n\nPrint PDF URL:/event/bme-seminar-series-wei-qiu/ LOCATION:2188 Mechanical Engineering Building\, 1513 University Avenue\, 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:20250313T160000 DTEND;TZID=America/Chicago:20250313T170000 DTSTAMP:20250509T133604 CREATED:20241226T153643Z LAST-MODIFIED:20250312T173218Z UID:10001062-1741881600-1741885200@engineering.wisc.edu SUMMARY:ME 903 Graduate Seminar: Professor Sam Kriegman 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 Sam Kriegman is a professor at Northwestern University. URL:/event/me-903-graduate-seminar-professor-sam-kriegman-2/ 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:20250313T173000 DTEND;TZID=America/Chicago:20250313T183000 DTSTAMP:20250509T133604 CREATED:20250213T221804Z LAST-MODIFIED:20250213T222033Z UID:10001167-1741887000-1741890600@engineering.wisc.edu SUMMARY:ISyE - Movie Night with HFES DESCRIPTION:Dive into the world of digital product design with this insightful series. \n\n\n\nExplore the creative process\, challenges\, and triumphs behind crafting user-centered experiences in the digital realm. \n\n\n\nFree popcorn and drinks. \n\n\n\n\nSign up here! URL:/event/isye-movie-night-with-hfes/ LOCATION:3210 Mechanical Engineering\, 1513 University Ave.\, Madison\, WI\, 53706\, United States CATEGORIES:Industrial & Systems Engineering,Student Org Event ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/MovieNight2.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250314T113000 DTEND;TZID=America/Chicago:20250314T120000 DTSTAMP:20250509T133604 CREATED:20250305T161820Z LAST-MODIFIED:20250311T142543Z UID:10001203-1741951800-1741953600@engineering.wisc.edu SUMMARY:ISyE - Student lunch DESCRIPTION:3121 Mechanical Engineering \n\n\n\nCome have FREE LUNCH prior to hearing from Binil Starly\, the Director for the ASU School of Manufacturing Systems and Networks as he speaks on ISyE Cyber-Manufacturing: Delivering Manufacturing Services Over Web 3.0. More information about Binil Starly and his presentation can be found here. URL:/event/isye-student-lunch/ CATEGORIES:Industrial & Systems Engineering,Seminar,Student Org Event ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/03/Lunch3-2024.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250314T120000 DTEND;TZID=America/Chicago:20250314T130000 DTSTAMP:20250509T133604 CREATED:20250219T201014Z LAST-MODIFIED:20250305T161307Z UID:10001171-1741953600-1741957200@engineering.wisc.edu SUMMARY:ISyE - Cyber-Manufacturing: Delivering Manufacturing Services Over Web 3.0 DESCRIPTION:Cybermanufacturing enables the shared use of networked manufacturing infrastructure to deliver manufacturing resources on-demand while maximizing capacity utilization\, reducing consumption of natural and material resources\, and reducing costs to product design and manufacturing. This talk will highlight three areas where our group has contributed to the understanding of Cybermanufacturing systems – 1) With the explosive growth of 3D product models\, the data contained in them\, may be used to democratize access and broaden those who are able to engage in product design and manufacturing; 2) Understanding of manufacturing capability available over the entire US through Natural Language Processing (NLP)\, and its interface with Large Language Models (like BERT & GPT-4); 3) Opportunities for a manufacturing two sided service marketplace\, and our laboratory’s work in ‘computational mechanism design’. In the future\, the digital connection across factories will also lead to Manufacturing Networks that are highly agile\, distributed\, and resilient. Emerging digital technologies such as Pervasive Sensing\, Computational Intelligence\, Edge-Fog-Cloud Computing\, Digital Twins\, Smart Automation\, Intelligent Collaborative Robots etc.\, open new possibilities in the design of smart collaborative physical and digital networks of factories. \n\n\n\n\n\nBio: Binil Starly serves as the Founding School Director and Professor in the School of Manufacturing Systems & Networks at Arizona State University\, leading a group of 21 faculty and more than 13 staff within the School. For the Fulton Schools of Engineering\, he leads the Workforce Development strategy for Microelectronics and Advanced Manufacturing. He has over 20 years of experience in digital manufacturing in the areas of intelligent machines\, decentralized manufacturing\, additive manufacturing\, and factory automation. His laboratory is working on technologies that merge the digital and the physical world towards advancing both discrete and continuous manufacturing processes. He has received the National Science Foundation CAREER award for research in bio-additive manufacturing\, SME ‘20 Most Influential Professors in Smart Manufacturing’\, SME Young Manufacturing Engineering Award (2011) and numerous teaching awards. URL:/event/isye-cyber-manufacturing-delivering-manufacturing-services-over-web-3-0/ LOCATION:1163 Mechanical Engineering\, 1513 Engineering Dr.\, Madison\, WI\, 53706\, United States CATEGORIES:Colloquium,Industrial & Systems Engineering ATTACH;FMTTYPE=image/jpeg:/wp-content/uploads/2025/02/starlygraphic.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250314T120500 DTEND;TZID=America/Chicago:20250314T125500 DTSTAMP:20250509T133604 CREATED:20250116T183401Z LAST-MODIFIED:20250116T183644Z UID:10001113-1741953900-1741956900@engineering.wisc.edu SUMMARY:Mechanics Seminar Series: Professor Franck Vernerey 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 Franck Vernerey is a professor at the University of Colorado Boulder. URL:/event/mechanics-seminar-series-professor-franck-vernerey/ 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-11-jpg.avif END:VEVENT BEGIN:VEVENT DTSTART;TZID=America/Chicago:20250317T120000 DTEND;TZID=America/Chicago:20250317T130000 DTSTAMP:20250509T133604 CREATED:20250204T172330Z LAST-MODIFIED:20250311T155515Z UID:10001145-1742212800-1742216400@engineering.wisc.edu SUMMARY:BME Seminar Series: Shalin Mehta\, PhD DESCRIPTION:Mapping cellular responses to perturbations with dynamic computational imaging and AI\n\n\n\n\n\n\n\nShalin Mehta\, PhDPlatform LeaderComputational MicroscopyChan Zuckerberg Biohub \n\n\n\nco-sponsors: Morgridge Institute for Research and the Center for Quantitative Cellular Imaging \n\n\n\nAbstract:Discovery of biological mechanisms\, drugs\, and therapeutics is being accelerated by image-based profiling of cellular responses to perturbations. In this seminar\, I will discuss our recent work on computational imaging to visualize the dynamic responses to perturbations and self-supervised learning to analyze the perturbations and responses. \n\n\n\nPrint PDF URL:/event/bme-seminar-series-shalin-mehta-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 END:VCALENDAR