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DTSTART;TZID=America/Chicago:20260206T150000
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DTSTAMP:20260417T034542
CREATED:20260123T212910Z
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UID:10001443-1770390000-1770393600@engineering.wisc.edu
SUMMARY:ECE Distinguished Speaker Seminar Series: Professor Shiwen Mao\, Auburn University
DESCRIPTION:2305 Engineering Hall \n\n\n\nDiffusion-enabled 3D human pose tracking\, data augmentation\, completion\, and acceleration\n\n\n\n\n\n\n\nAbstract:In recent years\, 3D human activity recognition and tracking has become an important topic in human-computer interaction. To preserve the privacy of users\, there is considerable interest in techniques without using a video camera. In this talk\, Mao first presents RFID-Pose\, a vision-assisted 3D human pose estimation system based on deep learning (DL). The performance of DL models depends on the availability of sufficient high-quality radio frequency (RF) data\, which is more difficult and expensive to collect than other types of data. To overcome this obstacle\, in the second part of this talk\, he presents generative AI approaches to generate labeled synthetic RF data for multiple wireless sensing platforms\, such as WiFi\, RFID\, and mmWave radar\, including a conditional Recurrent Generative Adversarial Network (R-GAN) approach and diffusion/latent diffusion based approaches. Next\, he proposes a novel framework that leverages latent diffusion transformers to synthesize high quality RF data\, as well as a latent diffusion transformer with cross-attention conditioning to accurately infer missing joints in skeletal poses\, completing full 25-joint configurations from partial (i.e.\, 12-joint) inputs utilizing received RF sensory data. Finally\, he presents recent work TF-Diff\, a novel training-free diffusion framework for cross-domain radio frequency (RF)-based human activity recognition (HAR) system\, which enables effective adaptation with minimal target-domain data. \n\n\n\nProfessor Shiwen Mao\n\n\n\nBio:Shiwen Mao is a Professor and Earle C. Williams Eminent Scholar and Director of the Wireless Engineering Research and Education Center at Auburn University. Dr. Mao’s research interest includes wireless networks\, multimedia communications\, RF sensing and IoT\, smart health\, and smart grid. He is the editor-in-chief of IEEE Transactions on Cognitive Communications and Networking\, a member-at-large on the Board of Governors of IEEE Communications Society\, and Vice President of Technical Activities of IEEE Council on Radio Frequency Identification (CRFID). He is a co-recipient of several technical and service awards from the IEEE. He is a Fellow of the IEEE.
URL:https://engineering.wisc.edu/event/ece-distinguished-speaker-seminar-series-professor-shiwen-mao-auburn-university/
LOCATION:2305 Engineering Hall\, 1415 Engineering Drive\, Madison\, WI\, 53706\, United States
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:20260210T122000
DTEND;TZID=America/Chicago:20260210T125000
DTSTAMP:20260417T034542
CREATED:20260109T220101Z
LAST-MODIFIED:20260109T220104Z
UID:10001395-1770726000-1770727800@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: Quantum\, Optics & Photonics
DESCRIPTION:Engineering undergraduates! Join us in 1610 Engineering Hall as faculty members explore the technical area of Quantum\, Optics & Photonics! All undergraduate students are welcome as Associate Professor Jennifer Choy\, Professor Mikhail Kats\, and Assistant Professor Ying Wang talk about application ideas\, advanced course electives\, and future job opportunities in this area. 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 Jimmy John’s sandwiches! \n\n\n\n\n\nJennifer Choy\n\n\n\n\n\nMikhail Kats\n\n\n\n\n\nYing Wang
URL:https://engineering.wisc.edu/event/ece-discovery-panel-quantum-optics-photonics-2/
LOCATION:1610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53706
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/01/ECE-Discovery-Panel-Series-.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260219T120000
DTEND;TZID=America/Chicago:20260219T130000
DTSTAMP:20260417T034542
CREATED:20260205T143527Z
LAST-MODIFIED:20260205T143742Z
UID:10001454-1771502400-1771506000@engineering.wisc.edu
SUMMARY:Ask an expert: Clean Energy
DESCRIPTION:Interested in a career in clean energy? Come learn about current clean energy initiatives and diverse career paths in the energy industry from our expert panel of College of Engineering alumni. In this hybrid panel\, students will join in person at EH 1610\, and our three alumni will join virtually. The panel will be moderated by ECE Professor Daniel Ludois\, with time reserved at the end of the event for students to ask questions. Meet our panelists below! \n\n\n\n\n\n\n\nEvent DetailsThursday\, February 19 @ 12:00pm1610 Engineering HallJimmy John’s sandwiches will be provided! \n\n\n\n\n\n\n\n\nSuminder SinghBSEE ‘95Vice President\, Bloom Energy \n\n\n\n\n\n\n\n\n\nDavid BiermanBSME ‘12Co-Founder & Chief Commercial Officer\, Antora Energy \n\n\n\n\n\n\n\n\n\nMegan LloydMS/BSNE ‘08Project Manager\, SHINE Technologies
URL:https://engineering.wisc.edu/event/ask-an-expert-clean-energy/
LOCATION:Wisconsin
CATEGORIES:Electrical & Computer Engineering,Mechanical Engineering,Nuclear Engineering & Engineering Physics
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/Clean-Energy-Alumni-Panel_Event-Feature-Image-1.avif
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260220T000000
DTEND;TZID=America/Chicago:20260222T235959
DTSTAMP:20260417T034542
CREATED:20260203T202325Z
LAST-MODIFIED:20260204T165305Z
UID:10001453-1771545600-1771804799@engineering.wisc.edu
SUMMARY:Lean Green Belt Training
DESCRIPTION:On campus – location TBD \n\n\n\nIISE is hosting in-person Lean Green Belt Training on campus!  Open to ALL students\, this is a fantastic opportunity to add an industry-recognized certification to your resume.This 3-day\, live\, in-person workshop is open to all students and focuses on practical\, engineering-driven Lean tools\, process improvement\, and data-driven problem solving—skills employers actively look for in engineering\, operations\, supply chain\, consulting\, and analytics roles. Unlike many professional certifications\, no prior industry experience is required. You’ll gain hands-on exposure to industry-standard methods\, learn how to identify inefficiencies and improve processes\, and leave with a credential you can immediately add to your resume and talk about in interviews. Early registration is encouraged for discounted pricing.  \n\n\n\nDon’t miss this opportunity to earn a professional certification while still a student!! \n\n\n\n\nInformation/Registration
URL:https://engineering.wisc.edu/event/lean-green-belt-training/
LOCATION:Wisconsin
CATEGORIES:Biomedical Engineering,Chemical & Biological Engineering,Civil & Environmental Engineering,Departments,Electrical & Computer Engineering,Industrial & Systems Engineering,Materials Science & Engineering,Mechanical Engineering,Nuclear Engineering & Engineering Physics
ATTACH;FMTTYPE=image/png:https://engineering.wisc.edu/wp-content/uploads/2026/02/Lean-Green-Belt-Training.avif
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DTSTART;TZID=America/Chicago:20260224T113000
DTEND;TZID=America/Chicago:20260224T123000
DTSTAMP:20260417T034542
CREATED:20260217T151252Z
LAST-MODIFIED:20260220T151455Z
UID:10001463-1771932600-1771936200@engineering.wisc.edu
SUMMARY:ECE RISE-AI Seminar Series: Eshaan Nichani\, Princeton University
DESCRIPTION:Foundations of language models: scaling and reasoning\n\n\n\n\n\n\n\nEshaan Nichani\n\n\n\nAbstract: Modern deep learning methods\, most prominently language models\, have achieved tremendous empirical success\, yet a theoretical understanding of how neural networks learn from data remains incomplete. While reasoning directly about these approaches is often intractable\, formalizing core empirical phenomena through minimal “sandbox” tasks offers a promising path toward principled theory. In this talk\, Nichani will demonstrate how proving end-to-end learning guarantees for such tasks yields a practical understanding of how the network architecture\, optimization algorithm\, and data distribution jointly give rise to key behaviors. First\, they will show how neural scaling laws arise from the dynamics of stochastic gradient descent in shallow neural networks. Next\, they will study how and under what conditions transformers trained via gradient descent can learn different reasoning behaviors\, including in-context learning and multi-step reasoning. Altogether\, this approach builds theories that provide concrete insight into the behavior of modern AI systems. \n\n\n\nBio:Eshaan Nichani is a final-year Ph.D. student in the Electrical and Computer Engineering (ECE) department at Princeton University\, jointly advised by Jason D. Lee and Yuxin Chen. His research focuses on the theory of deep learning\, ranging from characterizing the fundamental limits of shallow neural networks to understanding how LLM phenomena emerge during training. He is a recipient of the IBM PhD Fellowship and the NDSEG Fellowship\, and was selected as a 2025 Rising Star in Data Science. \n\n\n\nLocation details: Discovery Building – Research’s Link\, 2nd floor of Discovery Building (access through glass doors behind information desk)
URL:https://engineering.wisc.edu/event/ece-rise-ai-seminar-series-eshaan-nichani-princeton-university/
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/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website.avif
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260224T122000
DTEND;TZID=America/Chicago:20260224T125000
DTSTAMP:20260417T034542
CREATED:20260109T220951Z
LAST-MODIFIED:20260109T221640Z
UID:10001396-1771935600-1771937400@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: Communications and Networks
DESCRIPTION:Engineering undergraduates! Join us in 1610 Engineering Hall as faculty members explore the technical area of Communications and Networks! All undergraduate students are welcome as Associate Professor Bhuvana Krishnaswamy\, Assistant Teaching Professor Nathan Strachen\, and Professor Daniel van der Weide talk about application ideas\, advanced course electives\, and future job opportunities in this area. It’s a great place to ask your questions about classes and career paths in this exciting ECE field. \n\n\n\nCome for the insights\, stay for the Jimmy John’s sandwiches! \n\n\n\n\n\nBhuvana Krishnaswamy\n\n\n\n\n\nNathan Strachen\n\n\n\n\n\nDaniel van der Weide
URL:https://engineering.wisc.edu/event/ece-discovery-panel-communications-and-networks/
LOCATION:1610 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53706
CATEGORIES:Electrical & Computer Engineering,Information Session
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/01/ECE-Discovery-Panel-Series-.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260226T160000
DTEND;TZID=America/Chicago:20260226T170000
DTSTAMP:20260417T034542
CREATED:20260220T141854Z
LAST-MODIFIED:20260224T191536Z
UID:10001470-1772121600-1772125200@engineering.wisc.edu
SUMMARY:ECE Semiconductor Materials Seminar Series: Dr. Kuangye Lu
DESCRIPTION:Seamless Monolithic 3D Heterogeneous Integration Enabled by Advanced Epitaxy\n\n\n\n\n\n\n\nAbstract: Three-dimensional heterogeneous integration (3D heterointegration) is emerging as the leading approach to enhancing performance in the field of microelectronics. However\, this method often relies on complex wafer-to-wafer bonding processes\, which introduce alignment challenges and interfacial defects. Alternatively\, heteroepitaxy offers another route for implementing 3D heterointegration but suffers from material degradation due to defects and strain caused by lattice and thermal mismatches.In this talk\, I will introduce three new epitaxy paradigms designed to address the key limitations of current 3D heterointegration processes. First\, I will discuss Remote Epitaxy\, which enables wafer-scale exfoliation of ultra-thin membranes across a broad range of materials. By leveraging a 2D interlayer\, these membranes can be transferred and monolithically 3D (M3D) integrated onto arbitrary substrates with ultra-high throughput and low cost\, effectively addressing the challenges associated with wafer-to-wafer bonding. I will then present 2D-Assisted Heteroepitaxy\, a technique that significantly reduces and\, in some cases\, eliminates defects in heteroepitaxy through strain relaxation mechanism at the 2D/3D interface. This advancement enhances materials quality and device performance over conventional heteroepitaxy\, broadening opportunities for M3D heterointegration. Lastly\, I will introduce single-crystal materials growth on amorphous substrates\, which is made possible with a bold substrate design and carefully engineered materials growth conditions\, offering an entirely new scheme of M3D heterointegration.Building on these epitaxy paradigms\, I will demonstrate various novel (opto)electronic devices as examples of their applications\, including fabrication of world’s smallest micro-LED pixels (based on Remote Epitaxy)\, defect-free direct growth of III-V on silicon for next-generation optoelectronic applications (based on 2D-Assisted Heteroepitaxy)\, and advanced 3D stacking of 2D transistors (based on single-crystal materials growth on amorphous substrates). I will conclude the talk with a perspective on future materials development that could enable innovations across advanced 3D logic/memory\, XR\, energy\, and quantum information\, driven by new devices built upon advances in M3D heterointegration. \n\n\n\nDr. Kuangye Lu\n\n\n\nBio: Dr. Kuangye Lu is currently a Postdoctoral Associate at the Research Laboratory of Electronics\, Massachusetts Institute of Technology (MIT). He earned his Ph.D. in Mechanical Engineering from MIT in 2023 under the supervision of Prof. Jeehwan Kim\, and earned a B.S. with honors in Physics from Zhejiang University (ZJU) in 2018.His research focuses on the invention and development of advanced epitaxy techniques for compound semiconductors and 2D materials\, as well as their heterointegration for device fabrication and applications. These efforts include the monolithic 3D integration of high-quality III-V optoelectronic devices on silicon\, reconfigurable AI chips\, and transistors engineered for next-generation advanced nodes.Dr. Lu has authored peer-reviewed articles in high-impact journals\, including Nature\, Nature Nanotechnology\, and Nature Electronics. He is the recipient of the Chu Ko-Chen Scholarship\, the highest honor for graduates of ZJU\, and the MIT Shangzhi Wu Fellowship. Additionally\, Dr. Lu has served as a conference organizer of Advanced Epitaxy of Freestanding Membranes and 2D Materials (AEFM) Conference and a Review Editor for Frontiers in Energy Research. He also serves as a reviewer for journals including Nature Chemical Engineering\, Science Advances\, and Nano Letters.
URL:https://engineering.wisc.edu/event/ece-semiconductor-materials-seminar-series-dr-kuangye-lu/
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/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website-2.avif
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