BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//College of Engineering - University of Wisconsin-Madison - ECPv6.16.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:College of Engineering - University of Wisconsin-Madison
X-ORIGINAL-URL:https://engineering.wisc.edu
X-WR-CALDESC:Events for College of Engineering - University of Wisconsin-Madison
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Chicago
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20250309T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20251102T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20260308T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20261101T070000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
TZNAME:CDT
DTSTART:20270314T080000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
TZNAME:CST
DTSTART:20271107T070000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260407T000000
DTEND;TZID=America/Chicago:20260407T000000
DTSTAMP:20260604T225823
CREATED:20251002T133320Z
LAST-MODIFIED:20260320T144535Z
UID:10001316-1775520000-1775520000@engineering.wisc.edu
SUMMARY:POSTPONED - ECE Distinguished Speaker Seminar Series: Professor Seth Ariel Tongay
DESCRIPTION:This event has been postponed. We look forward to hosting Professor Tongay for our 2026-2027 Distinguished Speaker Seminar Series. \n\n\n\n\n\n\n\nPushing the Limits of 2D Janus Layers\n\n\n\n\n\n\n\nAbstract:Named after the two faced Roman God Janus\, 2D Janus layers contain two different atomic types on its top and bottom faces. Previous theoretical studies have shown that broken mirror symmetry together with large change transfer across the top and bottom face opens up completely new quantum properties including Rashba effect\, colossal Janus field\, dipolar excitons\, and Skyrmion formation. Despite the theoretical advances in the field\, experimental results are still limited due to limitations in high quality 2D Janus layer synthesis. In this talk\, I will introduce recent discoveries made at Arizona State University towards different types of Janus layers. The growth process relies on Plasma enhanced low pressure chemical vapor deposition (PE-LPCVD). With this all room temperature technique\, our team can synthesize different Janus layers as well as their vertical / lateral heterojunctions\, and Janus nanoscrolls. Further studies from our team will introduce on-demand fabrication of 2D Janus layers with unique in-situ growth capabilities that allows us to collect spectroscopy data during the course of Janus material growth. Results are presented along with microscopy\, spectroscopy\, high – pressure studies\, and electronic transport datasets for complete understanding of these systems. \n\n\n\nProfessor Seth Ariel Tongay\n\n\n\nBio:Professor Seth Ariel Tongay is an internationally recognized materials scientist and engineer whose research bridges fundamental discoveries and real-world manufacturing of next-generation semiconductors. He serves as one of the research directors of College of Engineering at Arizona State University\, home to the largest engineering college in the United States.Prof. Tongay’s research focuses on lab-to-fab integration of emergent semiconductor materials\, addressing key challenges in metal interconnects\, stress liner technologies\, and advanced device architectures such as FinFETs and gate-all-around (GAA) transistors. He is particularly known for his seminal contributions to two dimensional (2D) materials\, including Janus semiconductors and the discovery of quasi-one- dimensional (quasi-1D) layered systems.He has published over 350 peer-reviewed papers and holds an h-index of 86\, reflecting his high impact across materials science\, nanotechnology\, and semiconductor physics. His work has been recognized with the Presidential Early Career Award for Scientists and Engineers (PECASE)\, NSF CAREER Award\, and fellowships from the American Physical Society\, Royal Society of Chemistry\, and the Institute of Physics.Prof. Tongay is also an associate editor for Applied Physics Reviews (AIP) and npj 2D Materials and Applications (Nature). His research is supported by the CHIPS Act\, NSF\, DOE\, ARO\, and industry leaders including Intel and Applied Materials.
URL:https://engineering.wisc.edu/event/ece-distinguished-speaker-seminar-series-prof-seth-ariel-tongay/
LOCATION:WI
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/09/Distinguished-Speaker-Seminar-Series-3.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260409T113000
DTEND;TZID=America/Chicago:20260409T123000
DTSTAMP:20260604T225823
CREATED:20260330T210830Z
LAST-MODIFIED:20260402T130501Z
UID:10001505-1775734200-1775737800@engineering.wisc.edu
SUMMARY:ECE RISE-AI SEMINAR SERIES: Dr. Omar Chehab
DESCRIPTION:Toward efficient inference in complex systems\n\n\n\n\n\n\n\nAbstract: I will present a line of work on efficient inference in complex systems\, spanning both the foundations of machine learning and applications to brain imaging data. The talk is organized around two complementary directions.  \n\n\n\nIn the first part\, I will study modern algorithms for sampling\, estimating normalizing constants\, and estimating likelihoods. These methods often rely on a probability path that connects a complex target distribution to a simple base distribution\, such as a Gaussian. I will highlight fundamental limitations of classical approaches\, and show how path-guided algorithms can substantially improve efficiency. I will also discuss principled strategies for designing these probability paths\, explaining when and why such methods succeed. \n\n\n\nIn the second part\, I will turn to machine learning algorithms that are applied in neuroscience\, presenting recent results on learning representations and discovering causal structure from brain imaging data. This line of work is a step toward using machine learning to obtain new scientific insights. \n\n\n\nI will conclude with open questions in the field and future directions at the intersection of generative modeling\, sampling\, and their scientific applications. \n\n\n\nOmar Chehab\n\n\n\nBio: Omar Chehab is a postdoctoral researcher in the Machine Learning Department at Carnegie Mellon University. He completed his graduate training in France\, earning a PhD in Mathematical Computer Science at Inria under the supervision of Aapo Hyvärinen and Alexandre Gramfort\, followed by a postdoctoral position in the Statistics Department of ENSAE/CREST with Anna Korba. \n\n\n\nHis research focuses on principled methods for efficient inference from complex probability distributions. This includes estimating likelihoods from data\, generating samples from unnormalized densities\, as well as learning representations and discovering causal structure from brain imaging data. His work draws on a range of modern methods\, including diffusion models\, annealed MCMC\, score matching\, multi-view independent component analysis\, and noise-contrastive estimation. More broadly\, he studies these algorithms through the lens of computational and statistical efficiency\, aiming to understand their fundamental limits and guide their design. \n\n\n\nHe regularly publishes at leading machine learning conferences such as NeurIPS\, ICML\, and ICLR\, where his work has been recognized with a spotlight and top reviewer awards. \n\n\n\nLocation details: Discovery Building – Room 2329\, 2nd floor of Discovery Building (access through glass doors behind information desk)
URL:https://engineering.wisc.edu/event/ece-rise-ai-seminar-series-omar-chehab/
LOCATION:Discovery Building\, 330 N. Orchard St.\, Madison\, Wisconsin\, 53715
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/02/Rising-Stars-Seminars-Plain.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260410T120000
DTEND;TZID=America/Chicago:20260410T130000
DTSTAMP:20260604T225823
CREATED:20260402T131700Z
LAST-MODIFIED:20260402T131702Z
UID:10001513-1775822400-1775826000@engineering.wisc.edu
SUMMARY:ECE RISE-AI SEMINAR SERIES: Associate Professor Salman Asif
DESCRIPTION:Learning to See\, Adapt\, and Forget: From Computational Imaging to TrustworthyMultimodal AI\n\n\n\n\n\n\n\nAbstract: A central challenge in modern AI is that the world at test time does not match what was assumed at training time. Physical sensors operate under constraints\, modalities go missing\, data shift out of distribution\, and models retain information they were never meant to keep. Building systems that remain robust and reliable under incomplete\, shifted\, or misaligned information is the organizing question of my research program. \n\n\n\nIn this talk\, I will present our research spanning physically grounded inverse problems to large-scale trustworthy AI\, showing how robust behavior across different applications can be achieved through principled\, low-dimensional representations and adaptations. I will begin with computational imaging\, where we seek robust recovery of multidimensional data from indirect or incomplete measurements. I will discuss domain expansion and wavefront sensing\, showing how principled algorithmic innovations lead to robust models for challenging inverse problems. I will then discuss multimodal learning\, where we seek robustness against missing and imbalanced modalities at train or test time via parameter-efficient adaptation\, proxy token generation\, and model merging across modalities. Finally\, I will discuss targeted adversarial attacks and unlearning\, where we seek to exploit model vulnerabilities or remove targeted information (e.g.\, identities\, concepts\, unsafe content) without affecting unrelated capabilities.  \n\n\n\nI will close with a discussion of ongoing work and open problems spanning robust multimodal AI at scale\, continual learning with efficient unlearning\, and AI-guided sensing for medical\, agricultural\, and scientific applications. \n\n\n\nSalman Asif\n\n\n\nBio: M. Salman Asif is an Associate Professor in the Department of Electrical and Computer Engineering at the University of California\, Riverside. Dr. Asif received his Ph.D. from the Georgia Institute of Technology\, Atlanta\, Georgia. He worked as a Senior Research Engineer at Samsung Research America\, Dallas (2012–2014) and as a Postdoctoral Researcher at Rice University (2014–2016). He has received an NSF CAREER Award (2021)\, Google Faculty Research Award (2019)\, Hershel M. Rich Outstanding Invention Award (2016)\, and UC Regents Faculty Fellowship (2017) and Faculty Development (2021) Awards. Dr. Asif currently serves as Senior Associate Editor for the IEEE Transactions on Computational Imaging and as Area Chair for several top-tier venues including CVPR\, NeurIPS\, ICLR\, and AAAI. His research interests lie at the intersection of machine learning\, signal processing\, and computational imaging\, with a focus on building robust and trustworthy AI systems that perform reliably under incomplete\, shifted\, or misaligned information. Current research directions include robust multimodal learning\, model editing and unlearning\, and domain adaptation and generative models for computational imaging and inverse problems. \n\n\n\nLocation details: Discovery Building – Room 2329\, 2nd floor of Discovery Building (access through glass doors behind information desk)
URL:https://engineering.wisc.edu/event/ece-rise-ai-seminar-series-associate-professor-salman-asif/
LOCATION:Discovery Building\, 330 N. Orchard St.\, Madison\, Wisconsin\, 53715
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/02/Rising-Stars-Seminars-Plain.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260414T113000
DTEND;TZID=America/Chicago:20260414T130000
DTSTAMP:20260604T225823
CREATED:20251205T192648Z
LAST-MODIFIED:20251205T192650Z
UID:10001386-1776166200-1776171600@engineering.wisc.edu
SUMMARY:ECE Undergraduate Research Symposium
DESCRIPTION:The Department of Electrical and Computer Engineering invites you to join us for the second annual ECE Undergraduate Research Symposium. The symposium will be an exciting showcase of undergraduate research beyond the classroom. Selected students and teams will present their innovative work during a poster session where all are encouraged to talk with the undergraduate researchers about their discoveries.  \n\n\n\nThis event is open to the public—come support our students and explore their cutting-edge research! \n\n\n\nEvent schedule:11:30 – 1:00 Poster session with light refreshments – Discovery Building Town CenterAwards to follow
URL:https://engineering.wisc.edu/event/ece-undergraduate-research-symposium-2/
LOCATION:Discovery Building\, 330 N. Orchard St.\, Madison\, Wisconsin\, 53715
CATEGORIES:Electrical & Computer Engineering
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/12/ECE-UG-Research-Symposium.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260422T150000
DTEND;TZID=America/Chicago:20260422T160000
DTSTAMP:20260604T225823
CREATED:20251030T201147Z
LAST-MODIFIED:20260129T144232Z
UID:10001362-1776870000-1776873600@engineering.wisc.edu
SUMMARY:ECE Distinguished Speaker Seminar Series: Professor Shanhui Fan
DESCRIPTION:Opportunities in nanophotonics\n\n\n\n\n\n\n\n2535 Engineering Hall \n\n\n\nAbstract:Nanophotonic structures\, in which the feature sizes are comparable or even smaller than wavelength of light\, enables numerous new opportunities for the control of the properties of light. In this talk\, Fan will discuss some of their recent works in utilizing nanophotonic structures for creating novel states of light\, and for potential applications in computing and energy technology. \n\n\n\nShanhui Fan\n\n\n\nBio:Shanhui Fan is the Joseph and Hon Mai Goodman Professor of the School of Engineering at Stanford University. He did his undergraduate study in physics at the University of Science and Technology of China\, and received his Ph. D in 1997 in theoretical condensed matter physics from MIT. His research interests are in nanophotonics. He has published over 750 refereed journal articles\, given over 400 plenary/keynote/invited talks\, and holds over 80 US patents. His recent awards include the R. W. Wood Prize from Optica\, a Simons Investigator in Physics\, and a Vannevar Bush Faculty Fellowship. He is a member of both the U. S. National Academy of Engineering and the U. S. National Academy of Sciences\, and a Fellow of APS\, Optica\, SPIE\, and IEEE.
URL:https://engineering.wisc.edu/event/ece-distinguished-speaker-seminar-series-professor-shanhui-fan/
LOCATION:2535 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/09/Distinguished-Speaker-Seminar-Series-3.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260423T113000
DTEND;TZID=America/Chicago:20260423T130000
DTSTAMP:20260604T225823
CREATED:20260224T150848Z
LAST-MODIFIED:20260325T162945Z
UID:10001471-1776943800-1776949200@engineering.wisc.edu
SUMMARY:ECE Graduate Research Symposium
DESCRIPTION:The Department of Electrical and Computer Engineering invites you to join us for the inaugural ECE Graduate Research Symposium. The symposium will be an exciting showcase of graduate student research from a variety of research areas. Selected students and teams will present their innovative work during a poster session where all are encouraged to talk with our ECE graduate student researchers about their discoveries. \n\n\n\nThis event is open to the public—come support our students and explore their fascinating research! \n\n\n\nEvent schedule:11:30 – 1:00 Poster session – First floor lobby\, Engineering HallAwards to follow – Cheney Room\, 1413 Engineering Hall
URL:https://engineering.wisc.edu/event/ece-graduate-research-symposium/
LOCATION:Engineering Hall Lobby\, 1415 Engineering Drive\, Madison\, WI\, 53704\, United States
CATEGORIES:Electrical & Computer Engineering
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/ECE-Graduate-Research-Symposium-1.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260501T120000
DTEND;TZID=America/Chicago:20260501T133000
DTSTAMP:20260604T225823
CREATED:20260304T210103Z
LAST-MODIFIED:20260422T185412Z
UID:10001486-1777636800-1777642200@engineering.wisc.edu
SUMMARY:ECE Capstone Design Open House
DESCRIPTION:All are welcome to come view demonstrations of projects created by student teams in ECE capstone design courses!  ECE alumni and course instructors will serve as judges as teams compete for Best Project awards.  Past winning projects have included a self-balancing alarm clock robot that makes waking up an active task\, an AI-based voice journaling app to help with mental health\, and a safe use free vending machine for a local transitional housing facility. \n\n\n\nCourses participating in the ECE Capstone Design Open House:ECE 453 – Embedded Microprocessor System Design taught by Teaching Faculty Joe KracheyECE 455 – Capstone Design in Electrical and Computer Engineering taught by Assistant Teaching Professor Nathan StrachenECE 554 – Digital Engineering Laboratory taught by Assistant Professor George Tzimpragos \n\n\n\nThank you to our ECE alumni judges: \n\n\n\n\nBill Barbiaux – GE Healthcare\, Principal Engineer – Retired \n\n\n\nBill Berg – Dairyland Power Cooperative\, Chief Executive Officer – Retired\n\n\n\nCole Burek – Extreme Engineering Solutions\, Embedded Hardware Engineer\n\n\n\nFeida Chen – ABB E-mobility\, Lead Power Electronics Engineer\n\n\n\nOlivia D’Souza – University of Wisconsin–Madison\, ECE PhD student\n\n\n\nAlex Grotelueschen – Milwaukee Tool\, Electrical Engineer\n\n\n\nJohn Hester – Techtricity Corporation\, President – Retired\n\n\n\nRobert Lux – Capital Projects\, Management\n\n\n\nCory Mueller – ATC\, Consultant Control Engineer\n\n\n\nJustin Reed – C-Motive Technologies\, Head of Advanced Technology\n\n\n\nTony Samimi – Dairyland Electrical Industries\, Engineering Manager\n\n\n\nTerry Sartori – GE Healthcare\, Accuray – Engineering Project Manager\, Retired\n\n\n\nAlex Sharp – Extreme Engineering Solutions\, Hardware Debug Engineer\n\n\n\nKhailanii Slaton – University of Wisconsin–Madison\, ECE PhD student\n\n\n\nBob Wolf – IBM\, SAP HANA on Power Sales Exec covering North America – Retired\n\n\n\nForrest Woolworth – PerBlue / Playback Rewards\, COO\n\n\n\nJohn Ziehr – Rockwell Automation\, VP Operations – Retired
URL:https://engineering.wisc.edu/event/ece-capstone-design-open-house-2/
LOCATION:Engineering Hall Lobby\, 1415 Engineering Drive\, Madison\, WI\, 53704\, United States
CATEGORIES:Electrical & Computer Engineering
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2024/11/Capstone-Design-Open-House-Form-header-Presentation.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260507T151500
DTEND;TZID=America/Chicago:20260507T161500
DTSTAMP:20260604T225823
CREATED:20260430T165916Z
LAST-MODIFIED:20260430T170224Z
UID:10001521-1778166900-1778170500@engineering.wisc.edu
SUMMARY:ECE Research Seminar Series: Dr. Arindam Sanyal\, Arizona State University
DESCRIPTION:Machine Learning for In-Sensor Artificial Intelligence and High-performance Circuit Design\n\n\n\n\n\n\n\nAbstract: This talk focuses on application of machine-learning (ML) for imparting intelligence to sensing devices as well as lead to high-performance circuit design. As wireless sensors are more widely adopted\, the volume of data produced by these devices are expected to reach thousands of petabytes/month. Transmitting this large volume of data over the cloud for processing will potentially emerge as a communication bottleneck and increase latency of decisions. Transmitting naively all data generated by a wearable medical device is also costly in terms of power/energy- transmitter is usually the highest consumer of energy in a sensor (at least 10~20x more energy than sensing). Key to addressing this data deluge is to increase capabilities sensing devices to process information locally and have on-device inference capabilities\, such as through embedding AI capabilities into the wearable device that will allow extraction of key information from the sensor data. There needs to be balance between what can be processed locally on-device with low power/energy and how to optimally decide the volume of data communication from the device (to cloud as an example). The barriers to this approach lie in the computational complexity of AI algorithms that makes it challenging to fit AI models on wearables with limited resources. Some of the answers might lie in going back to early days of signal processing in silicon – developing analog circuit techniques for AI development which will require collaborative innovations in both AI model development and analog circuit design techniques. In this talk\, I will present our research on developing analog AI circuits and their demonstrations with use cases from health monitoring to IoT. \n\n\n\nThe second part of this talk will present ML approaches for enhancing performance of data converters. ML has the potential to emerge as an alternative to current signal processing based complex calibration algorithms for enhancing data converter performance in advanced processes. By learning an efficient representation of the input and data converter behavior\, a simple neural network can correct data converter errors arising from multiple sources of non-idealities with similar accuracy as complex calibration algorithms but with a much lower hardware cost. \n\n\n\nArindam Sanyal\n\n\n\nBio: Arindam Sanyal is currently an assistant professor in the School of Electrical\, Computer and Energy Engineering at Arizona State University. Prior to this\, he was an analog design engineer with Silicon Laboratories and assistant professor in State University of New York. He received his PhD in Electrical and Computer Engineering from the University of Texas at Austin in 2015\, his M.Tech from The Indian Institute of Technology\, Kharagpur in 2009 and B.E from Jadavpur University\, India in 2007.  Dr. Sanyal’s research expertise includes analog/mixed signal design\, bio-medical sensor design\, hardware security and neuromorphic computing. He serves in technical program committees for Custom Integrated Circuits Conference (CICC)\, Design Automation Conference (DAC)\, International Conference on Computer-Aided Design (ICCAD)\, VLSI Test Symposium (VTS)\, Analog Signal Processing Technical Committee (ASP-TC)\, and VLSI Systems and Applications Technical Committee (VSA-TC) within IEEE Circuits and Systems society\, and VLSI-D.
URL:https://engineering.wisc.edu/event/ece-research-seminar-series-dr-arindam-sanyal/
LOCATION:4610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/02/ECE-Research-Seminar-Series.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260509T090000
DTEND;TZID=America/Chicago:20260509T110000
DTSTAMP:20260604T225823
CREATED:20260303T213315Z
LAST-MODIFIED:20260304T002153Z
UID:10001483-1778317200-1778324400@engineering.wisc.edu
SUMMARY:ECE 2026 Graduation Brunch
DESCRIPTION:The Department of Electrical and Computer Engineering is excited to celebrate our graduates by hosting a brunch for graduates\, family\, and friends prior to the commencement ceremony at Camp Randall Stadium. Graduating students\, please check your email in April for information about how to RSVP for this fantastic event. We welcome all of the celebrants to enjoy a full brunch buffet\, photo booth\, and hearty congratulations from ECE faculty and staff. \n\n\n\nSummer and December 2025 graduates\, we would love the opportunity to celebrate with you as well. Please email office@ece.wisc.edu to let us know you will be joining us!
URL:https://engineering.wisc.edu/event/ece-2026-graduation-brunch/
LOCATION:Engineering Hall Lobby\, 1415 Engineering Drive\, Madison\, WI\, 53704\, United States
CATEGORIES:Electrical & Computer Engineering,Social Event
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/02/Graduation-Brunch-1.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260514T120000
DTEND;TZID=America/Chicago:20260514T130000
DTSTAMP:20260604T225823
CREATED:20260512T180547Z
LAST-MODIFIED:20260512T180725Z
UID:10001523-1778760000-1778763600@engineering.wisc.edu
SUMMARY:ECE Research Seminar Series: Dr. Junyi Zhao
DESCRIPTION:Soft Electronics & Systems for Sensing\, Perception\, and Feedback\n\n\n\n\n\n\n\nAbstract: Wearable technologies can support health span only when they are comfortable\, motion-robust\, and able to convert raw signals into actionable\, intuitive information. My research focuses on materials-device-system co-design of soft electronic systems that integrate three core functions\, sensing\, perception\, and feedback\, across healthcare and embodied interaction applications. \n\n\n\nIn this talk\, I will first introduce wearable systems for women’s health\, including maternal monitoring of cardiac and uterine contraction biopotentials in clinical settings for early risk detection of preterm birth. This platform leverages soft polymeric electrodes and textile-integrated interfaces designed for stable and wireless electrophysiological recording. Second\, I will present garment-integrated electrophysiology platforms for ambulatory biopotential monitoring in daily life\, including electrocardiography (ECG) and skeletal muscle electromyography (EMG) during strenuous activities such as exercise and water sports\, with an emphasis on maintaining signal fidelity under body motion. Third\, I will describe embodied tactile interfaces that enable robust touch and gesture recognition under deformation\, combining pressure mapping with personalized recognition for intelligent human-computer interaction. Fourth\, I will discuss semiconductor material processing and advanced manufacturing approaches for intrinsically soft optoelectronic devices\, including stretchable light-emitting diodes (LEDs) that provide low-burden\, glanceable visual feedback on wearables and everyday objects. Finally\, I will discuss future advances in intelligent wearables for personalized women’shealthcare and safe human-robot interaction. \n\n\n\nJunyi Zhao\n\n\n\nBio: Dr. Junyi Zhao is a Postdoctoral Scholar at Stanford University\, where he works with Professor Zhenan Bao to develop intelligent wearable electronics and medical robotics. He received his Ph.D. in Electrical Engineering from Washington University in St. Louis\, where he specialized in wearable biomedical electronics for women’s health\, as well as soft optoelectronic devices for light emission and photodetection. Previously\, he was a Research Scientist Intern at Meta Reality Labs (formerly Facebook)\, where he developed wearable tactile perception interfaces for immersive AR/VR and embodied human–computer interaction. \n\n\n\nDr. Zhao has authored over 20 publications\, including first-authored papers in Nature Photonics and Advanced Materials\, as well as papers in top-tier human–computer interaction venues such as ACM UIST. He has received multiple awards and recognitions\, including WiscProf: Future Faculty in Engineering\, CAS Future Leaders\, the MRS Graduate Student Gold Award\, PMSE Future Faculty\, the ACS Excellence in Graduate Polymer Research Award\, and the Nano Research Energy Young Star Researcher Gold Award.
URL:https://engineering.wisc.edu/event/ece-research-seminar-series-dr-junyi-zhao/
LOCATION:4610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/02/ECE-Research-Seminar-Series.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260828T083000
DTEND;TZID=America/Chicago:20260828T133000
DTSTAMP:20260604T225823
CREATED:20260603T174639Z
LAST-MODIFIED:20260603T174640Z
UID:10001530-1787905800-1787923800@engineering.wisc.edu
SUMMARY:ECE New Graduate Student Orientation
DESCRIPTION:Graduate Student Orientation is your launchpad into UW–ECE. Designed to set you up for success from day one\, this event connects newly enrolled graduate students with the resources\, guidance\, and community that will support you throughout your program. Get essential information on payroll\, benefits\, student services\, and more\, while building connections with your fellow students from the very start. The morning starts with coffee/tea and wraps with lunch. \n\n\n\nAttendance is required for all first-year graduate students\, except those enrolled in the MS Power online program. \n\n\n\nFirst-year graduate students should check their wisc.edu email for the invitation and RSVP link. \n\n\n\n\n\nProfessor Hongrui JiangAssociate Chair for Graduate Studies\n\n\n\n \n\n\n\n\n\nDaniel Imaizumi-KriegerGraduate Student Services Coordinator – MS-Research and PhD Graduate Programs\n\n\n\n\n\nChristina MaGraduate Student Services Coordinator – Accelerated MS Graduate Programs
URL:https://engineering.wisc.edu/event/ece-new-graduate-student-orientation/
LOCATION:Engineering Hall Lobby\, 1415 Engineering Drive\, Madison\, WI\, 53704\, United States
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/07/Grad-Student-Orientation-Invitation-website-and-monitor.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260909T143000
DTEND;TZID=America/Chicago:20260909T163000
DTSTAMP:20260604T225823
CREATED:20260603T154915Z
LAST-MODIFIED:20260603T175058Z
UID:10001529-1788964200-1788971400@engineering.wisc.edu
SUMMARY:ECE Student Welcome Ice Cream Social
DESCRIPTION:Kick off the semester with your ECE community! Start the semester strong by connecting with fellow students\, faculty\, and staff at this fun welcome event. Enjoy FREE Babcock ice cream🍦\, grab some awesome ECE swag\, and meet the people who’ll be part of your journey this year. \n\n\n\nDon’t miss out—check your wisc.edu email and RSVP by September 3. \n\n\n\nWe’ll see you at Union South on September 9!
URL:https://engineering.wisc.edu/event/ece-student-welcome-2/
LOCATION:Union South – Varsity Hall\, 1308 W Dayton St\, Madison\, Wisconsin\, 53715
CATEGORIES:Electrical & Computer Engineering,Social Event
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2025/07/ECE-Welcome-website-and-monitor-3.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260915T122000
DTEND;TZID=America/Chicago:20260915T125000
DTSTAMP:20260604T225823
CREATED:20260603T150005Z
LAST-MODIFIED:20260603T151137Z
UID:10001526-1789474800-1789476600@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: Applied Electromagnetics & Acoustics
DESCRIPTION:Engineering undergraduates—any major or undecided! Join us in 2317 Engineering Hall as faculty members explore the technical area of Applied Electromagnetics & Acoustics. \n\n\n\nAll undergraduate students are welcome as Assistant Professor Chu Ma\, Assistant Teaching Professor Nathan Strachen\, and Assistant Professor Haihan Sun discuss real-world applications\, where engineers are making an impact\, and possible career paths. \n\n\n\nThis session is a great opportunity to learn about courses in this area and where this knowledge can take you. \n\n\n\nCome for the insights\, bring your questions\, and stay for the sandwiches! \n\n\n\n\n\nChu Ma\n\n\n\n\n\nNathan Strachen\n\n\n\n\n\nHaihan Sun
URL:https://engineering.wisc.edu/event/ece-discovery-panel-applied-electromagnetics-acoustics/
LOCATION:2317 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/06/ECE-Discovery-Panel-Series-Applied-Electromagnetics-Acoustics.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260929T122000
DTEND;TZID=America/Chicago:20260929T125000
DTSTAMP:20260604T225823
CREATED:20260603T151009Z
LAST-MODIFIED:20260603T151117Z
UID:10001527-1790684400-1790686200@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: Semiconductor Engineering
DESCRIPTION:Engineering undergraduates—any major or undecided! Join us in 2317 Engineering Hall as faculty members explore the technical area of Semiconductor Engineering. \n\n\n\nAll undergraduate students are welcome as Assistant Professor Chirag Gupta\, Professor Hongrui Jiang\, and Assistant Professor Jennifer Volk discuss real-world applications\, where engineers are making an impact\, and possible career paths. \n\n\n\nThis session is a great opportunity to learn about courses in this area and where this knowledge can take you. \n\n\n\nCome for the insights\, bring your questions\, and stay for the sandwiches! \n\n\n\n\n\nChirag Gupta\n\n\n\n\n\nHongrui Jiang\n\n\n\n\n\nJennifer Volk
URL:https://engineering.wisc.edu/event/ece-discovery-panel-semiconductor-engineering/
LOCATION:2317 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/06/ECE-Discovery-Panel-Series-Semiconductor-Engineering.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20261013T122000
DTEND;TZID=America/Chicago:20261013T125000
DTSTAMP:20260604T225823
CREATED:20260603T153541Z
LAST-MODIFIED:20260603T154023Z
UID:10001528-1791894000-1791895800@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: ECE Named Degree Options - Semiconductor engineering or machine learning & data science
DESCRIPTION:Engineering undergraduates! Join us in 2317 Engineering Hall as faculty members explain how you can specialize in emerging technologies such as semiconductor engineering or machine learning and data science and earn a named option on your transcript.  The option uses 20 of the elective credits within the 120-credit Electrical Engineering or Computer Engineering BS degree program to focus on the science\, tools\, and practices associated with either semiconductor engineering or machine learning and data science. \n\n\n\nAll undergraduate students are welcome as Assistant Teaching Professor Eduardo Arvelo\, Assistant Teaching Professor Setareh Behroozi\, and Teaching Faculty Srdjan Milicic discuss the advantages of choosing a named option.  This session is a great opportunity to learn about courses in these areas and where this knowledge can take you. \n\n\n\nCome for the insights\, bring your questions\, and stay for the sandwiches! \n\n\n\n\n\nEduardo Arvelo\n\n\n\n\n\nSetareh Behroozi\n\n\n\n\n\nSrdjan Milicic
URL:https://engineering.wisc.edu/event/ece-discovery-panel-ece-named-degree-options-semiconductor-engineering-or-machine-learning-data-science/
LOCATION:2317 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/06/ECE-Discovery-Panel-Series-Named-Degree-Options.avif
END:VEVENT
END:VCALENDAR