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DTSTART;TZID=America/Los_Angeles:20260223T104000
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DTSTAMP:20260420T155337
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SUMMARY:ECE 290 Seminar: High-Frequency Circuits for Next-Generation Communication: From Beyond-5G mm-Wave MIMO to Co-Packaged Optics
DESCRIPTION:Presenter: Susnata Mondal\, Research Scientist\, Intel \nDescription: \nRapid growth in wireless connectivity\, cloud computing\, and AI infrastructure is driving an urgent need for communication systems that can deliver higher data rates with improved energy efficiency. Meeting these demands requires advances in high-frequency circuit design across both wireless and wireline domains\, spanning millimeter-wave radios to optical interconnects. \nThis seminar will present recent developments in two complementary directions. The first focuses on millimeter-wave MIMO systems for beyond-5G communication. Conventional phased arrays are typically limited to single-stream beamforming\, while fully digital solutions\, although flexible\, incur significant power and area overhead. Emerging hybrid architectures enable multi-stream\, multi-band operation with improved spectral efficiency by combining RF and baseband beamforming\, supporting carrier aggregation\, adaptive spatial processing\, and full-duplex operation. Prototype systems have demonstrated scalable multi-antenna transceivers operating across 28/37 GHz bands\, integrating RF front-ends\, beamforming networks\, and system-level signal processing. \nThe second direction addresses high-performance computing interconnects\, where electrical links increasingly struggle with loss and energy efficiency at high data rates. Co-packaged optics offers a promising alternative by placing optical engines in close proximity to compute and switch chips\, improving link efficiency. The seminar will discuss circuit and system innovations enabling scalable optical I/O\, including equalization\, clocking\, and high-linearity design techniques for high-speed optical links\, along with recent prototype demonstrations achieving high data rates with low energy per bit. \nBio: Susnata Mondal received the B.Tech. and M.Tech. degrees in E&ECE from IIT Kharagpur in 2015 and the Ph.D. degree in ECE from Carnegie Mellon University\, Pittsburgh\, in 2020. Since then\, he has been a Research Scientist at Intel\, Hillsboro\, working on co-packaged optics and high-speed I/O. He has authored several lead-author papers in ISSCC and JSSC and holds 18 U.S. patents. He is a Technical Program Committee member of RFIC and an Associate Editor for TCAS-I\, TCAS-II\, and SSCL. His honors include the SSCS Predoctoral Achievement Award\, the Best Ph.D. Thesis Award from CMU ECE\, and selection as an SSCS Rising Star. \nHosted by: Professor Soumya Bose\, ECE Department \nZoom: https://ucsc.zoom.us/j/97975378707?pwd=ljcgaCfhMmhZ88Vt5dqQUBVQRjehOx.1
URL:https://events.ucsc.edu/event/ece-290-seminar-high-frequency-circuits-for-next-generation-communication-from-beyond-5g-mm-wave-mimo-to-co-packaged-optics/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260223T160000
DTEND;TZID=America/Los_Angeles:20260223T170000
DTSTAMP:20260420T155337
CREATED:20260114T175234Z
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SUMMARY:AM Seminar: Multiscale Modeling of Cellular Membranes and Oncogenic Proteins
DESCRIPTION:Presenter: Liam Stanton\, Professor\, San Jose State University \nDescription: In this talk\, I will present a multiscale model for cellular membranes\, which is trained on molecular dynamics simulations. The model is constructed within the formalism of dynamic density functional theory and can be extended to include features such as the presence of proteins and membrane deformations. This new framework has enabled simulations that can access length-scales on the order of microns and time-scales on the order of seconds\, all while maintaining near fidelity to the underlying molecular interactions. Such scales are significant for accessing biological processes associated with signaling pathways within cells and experimentally relevant regimes. As applications\, we consider the cellular interactions of two membrane proteins of biological interest: G protein-coupled receptors (GPCRs) and RAS-RAF complexes\, the latter being implicated in roughly 30% of human cancers. \nBio: Dr. Stanton received his PhD in Applied Mathematics from Northwestern University in 2009. He went on to do a postdoc at Lawrence Livermore National Laboratory (LLNL)\, where he later became a staff scientist at the Center for Applied Scientific Computing. In 2018\, he joined the faculty at San Jose State University in the Department of Mathematics and Statistics\, where he is now an associate professor and a recent recipient of the Dean’s Scholar Award in Research Excellence. Dr. Stanton’s current research interests are in the multiscale modeling of non-equilibrium\, many-body systems. In particular\, he focuses on areas such as fusion energy\, biophysical systems and statistical mechanics. \nHosted by: Applied Mathematics
URL:https://events.ucsc.edu/event/am-seminar-multiscale-modeling-of-cellular-membranes-and-oncogenic-proteins/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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DTSTART;TZID=America/Los_Angeles:20260223T160000
DTEND;TZID=America/Los_Angeles:20260223T170000
DTSTAMP:20260420T155337
CREATED:20260126T202042Z
LAST-MODIFIED:20260126T202042Z
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SUMMARY:Statistics Seminar: Rotated Mean-Field Variational Inference and Iterative Gaussianization
DESCRIPTION:Presenter: Sifan Liu\, Assistant Professor\, Department of Statistical Science\, Duke University \nDescription:Mean-field variational inference (MFVI) approximates a target distribution with a product distribution in the standard coordinate system\, offering a scalable approach to Bayesian inference but often severely underestimating uncertainty due to neglected dependence. We show that MFVI can be greatly improved when performed along carefully chosen principal component axes rather than the standard coordinates. The principal components are obtained from a cross-covariance matrix of the target’s score function and identify orthogonal directions that capture the dominant discrepancies between the target distribution and a Gaussian reference. Performing MFVI in a rotated system defines a rotation followed by a coordinatewise transformation that moves the target closer to Gaussian. Iterating this procedure yields a sequence of transformations that progressively Gaussianize the target. The resulting algorithm provides a computationally efficient construction of normalizing flows\, requiring only MFVI sub-problems and avoiding large-scale optimization. In posterior sampling tasks\, we demonstrate that the proposed method greatly outperforms standard MFVI while achieving accuracy comparable to normalizing flows at a much lower computational cost. \nBio: Sifan Liu is an Assistant Professor in the Department of Statistical Science at Duke University. She was previously a research scientist at the Flatiron Institute and received her Ph.D. in Statistics from Stanford University. Her research interests include sampling\, generative modeling\, and selective inference. \nHosted by: Statistics Department
URL:https://events.ucsc.edu/event/statistics-seminar-rotated-mean-field-variational-inference-and-iterative-gaussianization/
LOCATION:CA
CATEGORIES:Lectures & Presentations,Seminars
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