Events for the 3rd week of November
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ECE Seminar: Filter Banks on Arbitrary Graphs Using Generalized Laplacian Eigenvectors
Tue, Nov 14, 2023 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Eduardo Pavez Carvelli, Postdoctoral Research Associate/Ming Hsieh Department of Electrical and Computer Engineering
Talk Title: Filter Banks on Arbitrary Graphs Using Generalized Laplacian Eigenvectors
Abstract: In the past decade, Graph Signal Processing (GSP) has become a popular framework to represent and process irregular and unstructured data, such as 3D point clouds arising from immersive communication and autonomous vehicle applications.
In this talk I will present our recent work on two channel filter banks for signals on graphs. Filter banks and other multi-resolution transformations have been extensively used for signal and image processing. Due to graph irregularities it can be challenging to construct filter banks for graphs, while satisfying desirable properties such as critical sampling, perfect reconstruction and low complexity. Bipartite filter banks are amongst the most popular designs satisfying these requirements, yet they are limited to bipartite graphs represented by their normalized Laplacian matrix. In practice graphs are rarely bipartite and other graph matrices are often preferred.
We substantially extend bipartite filter bank theory to arbitrary (non-bipartite) graphs and positive definite graph matrices. Our key insight is realizing the limitations of graph eigenvectors for spectral design of graph filter banks. As an alternative, we propose to use Q-orthogonal generalized eigenvectors of graphs, which can be constructed with certain spectral symmetries that can be exploited for filter bank design. The proposed graph filter banks are applied to graphs constructed on 3D point clouds with hundreds of thousands of nodes.
Biography: Eduardo Pavez Carvelli received the B.S. and M.Sc. degrees in electrical engineering from the University of Chile, Santiago, Chile, in 2011 and 2013, respectively, and the Ph.D. degree in electrical engineering from the University of Southern California, in 2019. He was an intern at Microsoft Research, and Mitsubishi Electric Research Laboratories, and he is currently a Postdoctoral Research Associate at the University of Southern California. His research is in the areas of graph signal processing, 3D point cloud processing and compression. His work on point cloud and video compression received best paper awards at IEEE ICIP 2020 and 2022.
Host: Dr. Richard M. Leahy, leahy@usc.edu
Webcast: https://usc.zoom.us/j/95889271695?pwd=TDFRWEsyY1VMWEFFQmZTdkg4ODhYQT09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/95889271695?pwd=TDFRWEsyY1VMWEFFQmZTdkg4ODhYQT09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
ECE Seminar: Reinforcement Learning for Control and Beyond
Tue, Nov 14, 2023 @ 12:00 PM - 01:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jay H. Lee, C. H. Cho Professor of Mork Family Department of Chemical Engineering and Materials Science University of Southern California
Talk Title: Reinforcement Learning for Control and Beyond
Abstract: Since Alan Turing’s remarkable foresight of creating a machine that simulates the “adult brain” starting from the “child mind” through a computer algorithm that educates through rewards and punishments, reinforcement learning (RL) has been at the forefront of many academic fields including psychology, computer science, and control. With recent advancement of deep learning and GPU-computing as well as well-publicized success stories like the Alpha-Go, it is enjoying a renaissance of popularity and offers opportunities for applications with commercial impacts. RL and control originated from the different fields but they both address the same basic problem of making sequential decisions in an uncertain, dynamic environment to maximize/minimize a long-term objective function. In this presentation, similarities and differences between reinforcement learning and optimal control will be brought to attention and some ideas will be shared on how they can be brought to complement and support each other in solving complex industrial decision problems. Some exemplary applications expected to benefit significantly from the use of RL concepts and methods will be presented, including batch process control, energy planning, and materials design.I will also give a short introduction to other research topics I am currently engaged in, including lithium-ion battery’s state of health prediction and evaluation of CO2 capture, utilization, and storage (CCUS) technologies.
Biography: Jay H. Lee obtained his B.S. degree in Chemical Engineering from the University of Washington, Seattle, in 1986, and his Ph.D. degree in Chemical Engineering from California Institute of Technology, Pasadena, in 1991. From 1991 to 1998, he was with the Department of Chemical Engineering at Auburn University, AL, as an Assistant Professor and an Associate Professor. From 1998-2000, he was with School of Chemical Engineering at Purdue University, West Lafayette, and then with the School of Chemical Engineering at Georgia Institute of Technology, Atlanta from 2000-2010 and Chemical and Biomolecular Engineering Department at Korea Advanced Institute of Science and Technology (KAIST) from 2010-2022, where he was the department head from 2010-2015, Associate VP of International Relations from 2015-2017, KEPCO Chair Professor and the founding Director of Saud Aramco-KAIST CO2 Management Center at KAIST. He is currently C. H. Cho Chair Professor of Mork Family Department of Chemical Engineering and Materials Science at University of Southern California. He was a recipient of the National Science Foundation’s Young Investigator Award in 1993 and was elected as an IEEE Fellow and an IFAC (International Federation of Automatic Control) Fellow in 2011 and an AIChE Fellow in 2013. He was also the recipient of the 2013 Computing in Chemical Engineering Award given by the AIChE’s CAST Division and the 2016 Roger Sargent Lecturer at Imperial College, UK. He is an Editor of Computers and Chemical Engineering and Discover Chemical Engineering. He was currently the Editor-in-Chief of Korean Journal of Chemical Engineering and also the chair of IFAC Coordinating Committee on Process and Power Systems. He published over 260 manuscripts in SCI journals with ~21000 Google Scholar citations. His research interests are in the areas of system identification, state estimation, robust control, model predictive control, and reinforcement learning with applications to sustainable energy systems, bio-refinery, and CO2 capture/conversion systems.
Host: Dr. Richard M. Leahy, leahy@usc.edu
Webcast: https://usc.zoom.us/j/93773325275?pwd=V3R4aEg1cW9DU1AvT3RCcHArS3RWUT09More Information: ECE-Seminar-Lee-111423.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/93773325275?pwd=V3R4aEg1cW9DU1AvT3RCcHArS3RWUT09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Munushian Distinguished Lecture - Eli Yablonovitch, Thursday, Nov. 16th at 2pm in EEB 132
Thu, Nov 16, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Eli Yablonovitch, EECS - University of California, Berkeley
Talk Title: Physics does Optimization (for Free); A New Approach Toward Computation
Series: Munushian Visiting Seminar Series
Abstract: Optimization is vital to science, engineering, and artificial intelligence. It is usually done digitally, but every physics inequality performs optimization in the normal course of dynamical evolution-for free. In driven systems we have Onsager's principle of minimum heat generation. Physics-based optimization usually relies upon this inequality. Optical Onsager machines can run 10^7 times faster than conventional machines, while consuming far less power.
Biography: Prof. Yablonovitch introduced the idea that strained semiconductor lasers could have superior performance due to reduced valence band (hole) effective mass. With almost every human interaction with the internet, optical telecommunication occurs by strained semiconductor lasers.
He is regarded as a Father of the Photonic BandGap concept, and he coined the term "Photonic Crystal". The geometrical structure of the first experimentally realized Photonic bandgap, is sometimes called "Yablonovite".
In his photovoltaic research, Yablonovitch introduced the 4(n squared) ("Yablonovitch Limit") light-trapping factor that is in worldwide use, for almost all commercial solar panels.
His mantra that "a great solar cell also needs to be a great LED", is the basis of the world record solar cells: single-junction 29.1% efficiency; dual-junction 31.5%; quadruple-junction 38.8% efficiency; all at 1 sun.
His cellphone antenna company, Ethertronics Inc., shipped over 2x10^9 antennas.He was also a co-Founder of Luxtera Inc., the pioneer in Silicon Photonics, now part of Cisco.
He co-Founded Luminescent Inc., the company that originated "Inverse Lithography Technology".
Host: ECE-Electrophysics
Webcast: Meeting ID: 96220203431 Pass Code: 949129More Information: Eli Yablonovitch Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: Meeting ID: 96220203431 Pass Code: 949129
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Quantum Science & Technology Seminar - Srujan Meesala, Friday, Nov. 17th at 10:30am in EEB 132
Fri, Nov 17, 2023 @ 10:30 AM - 11:45 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Srujan Meesala, Caltech
Talk Title: A chip-scale source of entangled microwave and optical photons
Series: Quantum Science & Technology Seminar Series
Abstract: Classical supercomputers and the internet are based on optically connected microwave frequency processors. An analogous architecture for large-scale quantum computers and networks would involve entanglement distribution between superconducting microwave processor modules using optical communication links. Connecting quantum particles in these two vastly different platforms while preserving quantum coherence is an outstanding technical challenge. I will present a recent experimental advance where we used a chip-scale transducer to prepare entangled states of single optical and microwave photons. We achieved this through a low-noise parametric down-conversion process in a device with carefully engineered optical, acoustic and superconducting components. This device can enable a room-temperature optical interconnect between superconducting qubits cooled in separate cryogenic nodes in the near term. I will discuss open challenges and opportunities with such devices en route to the long-term vision of a distributed quantum computer.
Biography: I am an Institute for Quantum Information and Matter (IQIM) Postdoctoral Scholar at Caltech in Oskar Painter's group. Previously, I received my PhD from Harvard where I worked in Marko Loncar's group. I perform experimental research on a variety of solid-state quantum platforms including superconducting circuits, defect center spins, and nanoscale optical and acoustic devices. I am interested in connecting such platforms to address open questions on building large-scale quantum systems for computation, communication and sensing.
Host: Quntao Zhang, Wade Hsu, Mengjie Yu, Jonathan Habif & Eli Levenson-Falk
More Information: Srujan Meesala Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Semiconductors & Microelectronics Technology Seminar - Joel K.W. Yang, Friday, November 17th at 1:45pm in EEB 132
Fri, Nov 17, 2023 @ 01:45 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Joel K.W. Yang, Singapore University of Technology and Design
Talk Title: Nanoscale 3D Printing of Structural Colors and Micro Optics
Series: Semiconductors & Microelectronics Technology
Abstract: Structural colors are generated from nanoscale features of various materials due either to interference or optical resonance effects. The ability to achieve a wide range of colors by simply tuning geometric properties opens fascinating opportunities to the nanoengineer or nanoscientist to design colors using material properties, and nanostructure geometry as input parameters. This physical approach contrasts with the chemical approach for synthesizing pigments and dyes, where colors arise due to optical absorption. Using semiconductor fabrication methods, 2D structures based on metals and high index dielectrics have been realized, e.g. nanodisks, ellipses, etc. defined with electron-beam lithography and vacuum deposition methods. Recently, we extended the generation of structural colors from 3D nanostructures created using two-photon polymerization lithography (TPL). The use of TPL, an additive manufacturing process with sub-micron print resolutions, to produce structures for optical effect is a relatively new endeavor. We have previously shown the fabrication of nanopillars, gratings, mesh-like, and wood-pile photonic crystal structures that appear colorful under white-light illumination. We now demonstrate the integration of these structural colors with other micro-optical elements, such as microlenses and spiral phase plates. Equipped with TPL as a nanoscale 3D printer, structural color geometries are conveniently integrated in a single print run with other user-defined optics. Doing so enables one to produce structured light from incoherent light sources, holographic color prints, and control of the light-field for 3D representation. We will discuss the use of structural colors combined with micro-optics for enhanced information content and optical security.
Biography: Joel Yang received his Master of Science (2005) and PhD (2009) degrees from the Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science. He is Full Professor (since Aug 2023) in the Engineering Product Development pillar at the Singapore University of Technology and Design (SUTD). He held a joint appointment as Principal Scientist at the Institute of Materials Research and Engineering (IMRE) of A*STAR until 2023. He is recognized for pioneering work in plasmonic and structural color printing, achieving record-level printing resolution at 100,000 dpi and credited for the widely-used "salty-developer" to improve the resolution of electron beam lithography. His research interests include Nanoplasmonics, 2D and 3D printed nano optical design elements (NODE), and sub-10-nm resolution lithography. He serves as Associate Editor of Science Advances. He is Fellow of Optica (former OSA The Optical Society), National Research Foundation (NRF) Investigator (class of 2020), and A*STAR Investigator (2010). His accolades include the Institute of Physics Singapore (IPS) Nanotechnology Medal and Prize, MIT Technology Review TR35 award, and the Singapore Young Scientist Award.
Host: J Ravichandran, J Yang, H. Wang, C. Zhou, S. Cronin, W. Wu
More Information: Joel Yan Flyer_v2.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
Integrated Systems Seminar - Mingoo Seok, Friday, Nov. 17th at 2pm in EEB 248 & Zoom
Fri, Nov 17, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mingoo Seok, Columbia University
Talk Title: SRAM-based In-Memory Computing Hardware: Analog vs Digital and Macros to
Series: Integrated Systems
Abstract: In the last decade, SRAM-based in-memory computing (IMC) hardware has received significant research attention for its massive energy efficiency and performance boost. In this seminar, first, we will introduce two very recent macro prototypes that achieve state-of-the-art performance and energy efficiency yet leverage very different computing mechanisms. Specifically, one adopted analog-mixed-signal (AMC) computing mechanisms (capacitive coupling and charge sharing), whereas the other adopted a fully digital approach. After this macro-level introduction, we will present recent microprocessor prototypes employing IMC-based accelerators, which can perform on-chip inferences at high energy efficiency and low latency.
Biography: Mingoo Seok is an associate professor of Electrical Engineering at Columbia University. He received his B.S. from Seoul National University, South Korea, in 2005 and his M.S. and Ph.D. degrees from the University of Michigan in 2007 and 2011, respectively, all in electrical engineering. His research interests are various aspects of VLSI circuits and architecture, including ultra-low-power integrated systems, cognitive and machine-learning computing, an adaptive technique for the process, voltage, temperature variations, transistor wear-out, integrated power management circuits, event-driven controls, and hybrid continuous and discrete computing. He won the 2015 NSF CAREER award and the 2019 Qualcomm Faculty Award. He is the technical program committee member for multiple conferences, including the IEEE International Solid-State Circuits Conference (ISSCC). In addition, He has been an IEEE SSCS Distinguished Lecturer for Feb/2023-Feb/2025 and an associate editor for IEEE Transactions on Circuits and Systems Part I (TCAS-I) (2014-2016), IEEE Transactions on VLSI Systems (TVLSI) (2015-present), IEEE Solid-State Circuits Letter (SSCL) (2017-2022), and as a guest associate editor for IEEE Journal of Solid-State Circuits (JSSC) (2019).
Host: MHI - ISSS, Hashemi, Chen and Sideris
Webcast: Zoom Meeting ID: 919 9842 7261, Passcode: 520437More Information: Abstract and Bio_Mingoo.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: Zoom Meeting ID: 919 9842 7261, Passcode: 520437
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.