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DTSTART;TZID=America/Chicago:20260309T160000
DTEND;TZID=America/Chicago:20260309T170000
DTSTAMP:20260413T143818
CREATED:20260226T173837Z
LAST-MODIFIED:20260226T174052Z
UID:10001474-1773072000-1773075600@engineering.wisc.edu
SUMMARY:ECE RISE-AI SEMINAR SERIES: Dr. Jingfeng Wu
DESCRIPTION:Towards a Less Conservative Theory of Machine Learning: Unstable Optimization and Implicit Regularization\n\n\n\n\n\n\n\nAbstract: Deep learning’s empirical success challenges the “conservative” nature of classical optimization and statistical learning theories. Classical theory mandates small stepsizes for training stability and explicit regularization for complexity control. Yet\, deep learning leverages mechanisms that thrive beyond these traditional boundaries. In this talk\, I present a research program dedicated to building a less conservative theoretical foundation by demystifying two such mechanisms:  \n\n\n\n1. Unstable Optimization: I show that large stepsizes\, despite causing local oscillations\, accelerate the global convergence of gradient descent (GD) in overparameterized logistic regression.  \n\n\n\nDr. Jingfeng Wu\n\n\n\n2. Implicit Regularization: I show that the implicit regularization of early-stopped GD statistically dominates explicit $\ell_2$-regularization across all linear regression problem instances. \n\n\n\nI further showcase how the theoretical principles lead to practice-relevant algorithmic designs (such as Seesaw for reducing serial steps in large language model pretraining). I conclude by outlining a path towards a rigorous understanding of modern learning paradigms. \n\n\n\nBio: Dr. Jingfeng Wu is a postdoctoral fellow at the Simons Institute for the Theory of Computing at UC Berkeley. His research focuses on deep learning theory\, optimization\, and statistical learning. He earned his Ph.D. in Computer Science from Johns Hopkins University. Prior to that\, he received a B.S. in Mathematics and an M.S. in Applied Mathematics\, both from Peking University. In 2023\, he was recognized as a Rising Star in Data Science by the University of Chicago and UC San Diego. \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-dr-jingfeng-wu/
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260310T122000
DTEND;TZID=America/Chicago:20260310T125000
DTSTAMP:20260413T143818
CREATED:20260109T221548Z
LAST-MODIFIED:20260109T221551Z
UID:10001397-1773145200-1773147000@engineering.wisc.edu
SUMMARY:ECE Discovery Panel: Optimization and Control
DESCRIPTION:Engineering undergraduates! Join us in 1610 Engineering Hall as faculty members explore the technical area of Optimization and Control! All undergraduate students are welcome as Assistant Professor Jeremy Coulson\, Associate Professor Line Roald\, and Assistant Professor Manish Singh 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\nJeremy Coulson\n\n\n\n\n\nLine Roald\n\n\n\n\n\nManish Singh
URL:https://engineering.wisc.edu/event/ece-discovery-panel-optimization-and-control/
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:20260313T120000
DTEND;TZID=America/Chicago:20260313T130000
DTSTAMP:20260413T143818
CREATED:20260227T161039Z
LAST-MODIFIED:20260227T161338Z
UID:10001477-1773403200-1773406800@engineering.wisc.edu
SUMMARY:ECE RISE-AI SEMINAR SERIES: Kunhe Yang
DESCRIPTION:Designing and Evaluating AI Algorithms in Strategic Environments\n\n\n\n\n\n\n\nKunhe Yang\n\n\n\nAbstract: As AI models are increasingly deployed in environments shaped by complex human behaviors\, there is a critical need for algorithmic principles that account for human values and strategic incentives. In this talk\, I will introduce my research on the theoretical foundations for designing and evaluating AI in human-centered strategic environments. I will focus on two key representative lines of my research: first\, I will discuss incentive-aware evaluation\, with the goal of designing metrics that remain robust even when they become targets of optimization. I will illustrate this in the context of online probability forecasting and introduce algorithmic principles for designing calibration measures that incentivize truthful predictions. Second\, I will discuss AI alignment with heterogeneous human preferences by introducing a framework called the distortion of AI alignment. Within this framework\, I will characterize the information-theoretic limits of learning from sparse heterogeneous feedback\, and compare the robustness of different alignment approaches including RLHF and NLHF. I conclude by discussing future directions and a broader vision for integrating these algorithmic principles into the design of trustworthy\, human-centric AI. \n\n\n\nBio: Kunhe Yang is a fifth-year PhD candidate in Electrical Engineering and Computer Sciences at the University of California\, Berkeley\, where she is advised by Professor Nika Haghtalab. Her research focuses on the theoretical foundations of AI in human-centered environments by drawing on tools from machine learning theory and algorithmic economics. Her work has been recognized by several awards\, including EECS Rising Star\, invited speaker at the Cornell Young Researchers workshop\, finalist for the Meta Research PhD Fellowship in the Economics and Computation track\, and a SIGMETRICS best paper award. \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-kunhe-yang/
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260316T100000
DTEND;TZID=America/Chicago:20260316T110000
DTSTAMP:20260413T143818
CREATED:20260226T190059Z
LAST-MODIFIED:20260226T190100Z
UID:10001475-1773655200-1773658800@engineering.wisc.edu
SUMMARY:ECE QUANTUM ENGINEERING SEMINAR SERIES: Joshua Viszlai
DESCRIPTION:A Systems Approach to Fault-Tolerant Quantum Computing\n\n\n\n\n\n\n\nJoshua Viszlai\n\n\n\nAbstract:  We are beginning a remarkably exciting time for quantum computing. There is a growing consensus that quantum error correction (QEC) is needed to reach scales necessary for quantum advantage\, and recent major demonstrations have led to a new generation of error-corrected quantum computers. These demonstrations transition QEC from a theoretical idea introduced in 1995 to an experimental reality. Underlying this milestone is rapid progress in the scale of quantum hardware\, with systems today featuring up to 1\,000 qubits and error rates nearing 0.1%. However\, looking towards the future\, significant work is still needed to organize and scale quantum hardware to create fault-tolerant quantum computers (FTQC) capable of practical quantum advantage.While the theory of FTQC is promising\, effectively connecting it to real devices poses significant challenges. In this talk I will discuss the role of systems and architecture research in efficiently addressing these challenges\, focusing on two examples of my work. First\, I will describe the problems involved in large-scale\, real-time QEC decoding\, and detail a speculative window decoder that reduces decoder reaction time by up to 50%. Second\, I will show how insights from decoding lead to a heuristic for compiling QEC codes that reduces logical error rates by 2.5x-4x and helps automate QEC design space exploration. Together\, these works fit into a larger vision on a full-stack view of FTQC and highlight opportunities for interdisciplinary\, systems-level research to accelerate the realization of large-scale quantum computing. \n\n\n\nBio: Joshua Viszlai is a Ph.D. student at the University of Chicago advised by Fred Chong. His research spans both theory and experiment with a focus on bridging the gap between current quantum devices and fault-tolerant quantum computing. His work has been implemented in quantum hardware and has been published in top-tier conferences in the fields of computer architecture and quantum computing leading to two best paper awards and a best poster honorable mention award. Joshua is also a consultant at Infleqtion\, a company developing neutral atom quantum computers\, where he helps lead research on quantum error correction.
URL:https://engineering.wisc.edu/event/ece-quantum-engineering-seminar-series-joshua-viszlai/
LOCATION:2534 Engineering Hall\, 1415 Engineering Drive\, Madison\, Wisconsin\, 53706\, United States
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website-1.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260317T100000
DTEND;TZID=America/Chicago:20260317T110000
DTSTAMP:20260413T143818
CREATED:20260226T192925Z
LAST-MODIFIED:20260226T193013Z
UID:10001476-1773741600-1773745200@engineering.wisc.edu
SUMMARY:ECE QUANTUM ENGINEERING SEMINAR SERIES: Dr. Shai Tsesses
DESCRIPTION:Unlocking New Capabilities for Quantum Computation with Neutral Atom Arrays\n\n\n\n\n\n\n\nDr. Shai Tsesses\n\n\n\nAbstract: Neutral atom arrays have become a frontrunner in the race for utility scale quantum computation [1]\, building on their reconfigurability [2]\, scalability [3] and high fidelity for all operations [4] – idling\, detection\, single- and two-qubit gates. However\, they still suffer from key bottlenecks that constrain their operational speed and their implementation of deep quantum circuits. In this talk\, I will show how my recent work can bend these constraints and sometimes completely break them. I will present results on accelerated detection of the atoms via high-lying energy states (Rydberg states) [5] and introduce novel protocols for reconfigurable multi-qubit gates [6]\, promoting improved circuit implementation speed for error correction. I will then update on our current progress in building a continuously operating neutral atom quantum processor\, which mitigates the negative influences of atom loss\, and present a new scheme we developed to operate atom array systems for this purpose [7]. Lastly\, I will touch on the final frontier – how to increase system size to a utility scale number of qubits and provide my own solution to it: free electron quantum interconnects between neutral atom quantum processing modules. \n\n\n\nBio: Dr. Shai Tsesses is a postdoctoral associate at the MIT–Harvard Center for Ultracold Atoms\, working with Prof. Vladan Vuletić. At MIT\, he is leading a team developing the next generation of neutral atom quantum processors\, able to implement deep and high-fidelity quantum circuits. Dr. Tsesses earned his Ph.D. in Electrical Engineering from the Technion–Israel Institute of Technology\, where he made key experimental contributions to topological and quantum nano-photonics\, as well as free-electron–light interactions. His research explores the frontiers of light–matter interaction\, bridging atomic physics\, electron beam physics\, and quantum information science. He has authored more than 30 publications in leading journals such as Science and Nature\, and is a recipient of numerous fellowships and awards\, including the Rothschild and Adams Fellowships\, as well as the OPTICA Tingye Li Innovation Prize.
URL:https://engineering.wisc.edu/event/ece-quantum-engineering-seminar-series-dr-shai-tsesses/
LOCATION:2317 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-1.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260318T100000
DTEND;TZID=America/Chicago:20260318T110000
DTSTAMP:20260413T143818
CREATED:20260303T203811Z
LAST-MODIFIED:20260303T203814Z
UID:10001482-1773828000-1773831600@engineering.wisc.edu
SUMMARY:ECE QUANTUM ENGINEERING SEMINAR SERIES: Hezi Zhang
DESCRIPTION:Quantum Computing Systems: Toward Scalable and Efficient Quantum Computation\n\n\n\n\n\n\n\nHezi Zhang\n\n\n\nAbstract: Quantum computing has emerged as a transformative frontier of computation. In recent years\, quantum hardware has scaled at an unprecedented rate. As this momentum continues\, the central challenge is shifting upward in the stack—from hardware-level feasibility toward system-level scalability. This talk will focus on quantum computer architecture and compiler systems\, introducing the challenges and opportunities to efficiently harness device capabilities and lower the demands on hardware technology\, thereby accelerating timelines for practical quantum advantage. \n\n\n\nBio: Hezi Zhang is a fifth-year Ph.D. candidate in the Computer Science and Engineering (CSE) department at the University of California\, San Diego (UCSD). She received her M.S. in Computer Science from the Georgia Institute of Technology (GT) and her B.S. in Physics from the University of Science and Technology of China (USTC). Her current research interests lie in quantum computing architecture and compiler optimization\, including supporting scalable quantum computing and exploring different quantum computing paradigms.
URL:https://engineering.wisc.edu/event/ece-quantum-engineering-seminar-series-hezi-zhang/
LOCATION:2534 Engineering Hall\, 1415 Engineering Drive\, Madison\, Wisconsin\, 53706\, United States
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website-1.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260323T150000
DTEND;TZID=America/Chicago:20260323T160000
DTSTAMP:20260413T143818
CREATED:20260313T134115Z
LAST-MODIFIED:20260323T153320Z
UID:10001494-1774278000-1774281600@engineering.wisc.edu
SUMMARY:ECE SEMICONDUCTOR MATERIALS SEMINAR SERIES: Dr. Mihir Pendharkar
DESCRIPTION:Closing the Loop: Shrinking Materials Discovery Cycles for the Quantum Era\n\n\n\n\n\n\n\nAbstract:  As utility-scale quantum computing appears on the horizon\, the field faces a scaling challenge comparable in magnitude to the pursuit of artificial general intelligence. Success in this endeavor hinges on reducing decoherence by improving materials systems at the fundamental electronic device scale — the single-qubit level — and\, crucially\, developing tools that enable rapid experimental feedback. This talk explores two paradigms where shrinking the characterization loop has catalyzed breakthroughs in quantum materials as well as materials for quantum hardware. \n\n\n\nThe first part focuses on the development of high-mobility III-V semiconductor quantum wells and quantum wires (nanowires). By optimizing the integration of superconductors with these low-dimensional electron systems\, we have realized the high-quality hybrid interfaces necessary for topological quantum computing. I will highlight how rapid feedback was the primary driver for achieving proof-of-concept devices. \n\n\n\nIn the second part\, I will address the “imaging bottleneck” in 2D moiré heterostructures. While these systems offer a rich playground for correlated quantum physics\, the inability to rapidly visualize moiré superlattices has historically limited materials optimization. I will present the development of Torsional Force Microscopy (TFM)\, a technique that enables the visualization of moiré landscapes in minutes\, bypassing the need for weeks-long cryogenic transport measurements. \n\n\n\nFinally\, I will put forward a vision for improved materials\, device geometries\, and rapid feedback techniques that can be ported to superconducting qubit platforms\, with the hope of providing a boost to bridge the gap between laboratory prototypes and useful quantum computers. \n\n\n\nDr. Mihir Pendharkar\n\n\n\nBio: Mihir Pendharkar is a researcher at Stanford University\, where he works with Prof. David Schuster on advancing materials for superconducting qubit-based quantum computing. As a Q-FARM Bloch Postdoctoral Fellow working with Prof. David Goldhaber-Gordon\, Mihir developed Torsional Force Microscopy (TFM) to image moiré superlattices and atomic lattices in 2D materials. This imaging technique has since been adopted by four major AFM manufacturers and dozens of research institutions worldwide. Mihir earned his MS and PhD in Electrical and Computer Engineering from University of California\, Santa Barbara working with Prof. Chris Palmstrom\, where his doctoral research specialized in Molecular Beam Epitaxy (MBE) of superconductor-semiconductor hybrid heterostructures for Majorana Zero Mode-based topological quantum computation.
URL:https://engineering.wisc.edu/event/ece-semiconductor-materials-seminar-series-dr-mihir-pendharkar/
LOCATION:3609 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website-2.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260324T120000
DTEND;TZID=America/Chicago:20260324T130000
DTSTAMP:20260413T143818
CREATED:20260227T163616Z
LAST-MODIFIED:20260324T120233Z
UID:10001478-1774353600-1774357200@engineering.wisc.edu
SUMMARY:ECE SEMICONDUCTOR MATERIALS SEMINAR SERIES: Dr. Alex Honghyuk Kim
DESCRIPTION:Development of Novel III–V Semiconductor Heterostructures: Overcoming Physical Limits\n\n\n\n\n\n\n\nAlex Honghyuk Kim\n\n\n\nAbstract: Recent advances in the epitaxial growth of III–V compound semiconductors have enabled high-performance electronic and photonic devices. However\, conventional III–V and III–N material systems remain fundamentally limited by intrinsic physical and chemical constraints\, including substrate-dependent lattice and bandgap properties. These limitations hinder progress in emerging applications such as neuromorphic photonics\, monolithic integration with silicon photonics\, and full-color micro-LED arrays. In this talk\, strategies to overcome these intrinsic limitations will be discussed\, with a focus on the development of novel III–V compound semiconductor material systems enabled by precise control of lattice mismatch\, phase stability\, and miscibility gaps. The role of metalorganic vapor phase epitaxy (MOVPE) in kinetic material design will be highlighted\, together with the realization of chemically and physically metastable III–V heterostructures beyond conventional epitaxial limits. \n\n\n\nBio: Alex Honghyuk Kim is an Assistant Professor in the School of Semiconductor Convergence Engineering at Hanyang University\, South Korea. He received his Ph.D. in Electrical and Computer Engineering from the University of Wisconsin–Madison\, where his research focused on the epitaxial growth of III–V compound semiconductors for advanced optoelectronic applications. His research interests include MOVPE-based epitaxy of III–V compound semiconductor materials\, metastable heterostructures\, and the design and characterization of advanced optoelectronic devices. Prior to joining Hanyang University\, he held research positions at Lumileds LLC\, Northwestern University\, and the Korea Photonics Technology Institute. He has authored and coauthored over 30 peer-reviewed journal papers and currently serves as a co-principal investigator on multiple nationally funded semiconductor research projects.
URL:https://engineering.wisc.edu/event/ece-semiconductor-materials-seminar-series-dr-alex-honghyuk-kim/
LOCATION:2355 Engineering Hall\, 1415 Engineering Drive\, Madison\, 53711
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website-2.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260326T120000
DTEND;TZID=America/Chicago:20260326T130000
DTSTAMP:20260413T143818
CREATED:20260319T135955Z
LAST-MODIFIED:20260319T135958Z
UID:10001499-1774526400-1774530000@engineering.wisc.edu
SUMMARY:ECE RISE-AI SEMINAR SERIES: Dr. Andrew Wagenmaker
DESCRIPTION:Physical Agents that Learn from Experience\n\n\n\n\n\n\n\nAbstract: Humans fundamentally learn through interaction with the physical world\, yet modern AI-based approaches in robotics rely primarily on learning from static\, offline sources of data. While this approach has enabled exciting capabilities in some domains\, it has proven notoriously difficult to scale to the demands of fully open-world autonomy.  \n\n\n\nDr. Andrew Wagenmaker\n\n\n\nIn this talk\, I will investigate how we can overcome the limitations of learning with only static data sources\, and enable robots to learn from experience as they interact with the physical world. In particular\, I will consider how we can collect the experience—explore—that allows for learning and improvement\, and how the limited sources of data that are often available to us in the physical world—simulators and human demonstrations—can enable this. I will consider how simulators\, even coarse simulators that are insufficient for obtaining effective task-solving policies\, can enable efficient exploration\, and how the resulting exploration allows for learning performant task-solving robotic behaviors. I will then show how generative robot policies trained on human demonstrations can be utilized to achieve highly focused exploration and enable fast online improvement\, and how we can pretrain generative policies on human demonstrations that can themselves collect the experience necessary to learn and improve. Across these examples\, I will argue that the insights gained through rigorous analysis are key to uncovering the algorithmic approaches that enable learning from experience\, and ultimately bringing AI to the physical world. \n\n\n\nBio: Andrew Wagenmaker is a postdoctoral scholar in Electrical Engineering and Computer Sciences at UC Berkeley working with Sergey Levine. Previously\, he completed a PhD in Computer Science at the University of Washington\, where he was advised by Kevin Jamieson. Andrew’s research focuses on learning in dynamic\, interactive settings\, spanning fundamental algorithm development to practical approaches for real-world learning and decision-making\, particularly toward enabling efficient learning in robotic systems. His work has been recognized by a Best Paper nomination at the Conference on Robot Learning\, and he is a recipient of the NSF Graduate Research Fellowship.
URL:https://engineering.wisc.edu/event/ece-rise-ai-seminar-series-dr-andrew-wagenmaker/
LOCATION:Orchard View Room – Third Floor – Discovery Building\, 330 N. Orchard St.\, Madison\, 53715
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website.avif
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260327T100000
DTEND;TZID=America/Chicago:20260327T110000
DTSTAMP:20260413T143818
CREATED:20260317T143742Z
LAST-MODIFIED:20260317T143950Z
UID:10001495-1774605600-1774609200@engineering.wisc.edu
SUMMARY:ECE QUANTUM ENGINEERING SEMINAR SERIES: Dr. Yun Zhao
DESCRIPTION:Microresonator-based quantum photonics\n\n\n\n\n\n\n\nYun Zhao\n\n\n\nAbstract: As the only quantum information carrier at atmospheric pressure and temperature\, photons play a versatile role in the quantum information ecosystem. Recent progress in fabricating high-quality-factor microresonators has enabled unprecedented control of photons through nonlinear optical interactions. Here\, I will focus on optical squeezing\, which is a foundational process in both photonic quantum metrology and computing. I will first discuss the generation of squeezed vacuum states on a CMOS-compatible platform. Then I will present a fundamentally new way of applying optical squeezing in optical frequency metrology\, with applications in optical frequency division and narrow-linewidth lasers. Finally\, I will briefly discuss other micro- resonator-based applications\, including quantum frequency conversion and spatial light modulation. \n\n\n\nBio: Yun Zhao is currently a postdoc at Stanford University in the Applied Physics department\, advised by Prof. Amir Safavi-Naeini. He earned his PhD in Electrical Engineering from Columbia University\, advised by Prof. Alexander Gaeta. He has broad research interests in quantum and nonlinear photonics. His work spans optical squeezing\, Kerr frequency comb\, frequency conversion\, optical frequency division\, and spatial light modulation\, etc. He served as the postdoctoral community chair for the DOE Codesign Center for Quantum Advantage in 2023 and 2024 and hosted a webinar series for the center’s graduate students and postdocs.
URL:https://engineering.wisc.edu/event/ece-quantum-engineering-seminar-series-dr-yun-zhao/
LOCATION:2534 Engineering Hall\, 1415 Engineering Drive\, Madison\, Wisconsin\, 53706\, United States
CATEGORIES:Electrical & Computer Engineering,Seminar
ATTACH;FMTTYPE=image/jpeg:https://engineering.wisc.edu/wp-content/uploads/2026/02/2026-Faculty-Recruiting-Seminars-Plain-for-website-1.avif
END:VEVENT
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