Conferences, Lectures, & Seminars
Events for November
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MHI ISSS Seminar - Dr. Sudipto Chakraborty, Friday, Nov 3rd at 2pm in EEB132
Fri, Nov 03, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Sudipto Chakraborty, IBM T.J. Watson Research Center
Talk Title: Low power cryo-CMOS design for quantum computing applications
Series: Integrated Systems
Abstract: This talk will cover practical challenges for cryogenic CMOS designs for next generation quantum computing. Starting from system level, it will detail the design considerations for a non-multiplexed, semi-autonomous, transmon qubit state controller (QSC) implemented in 14nm CMOS FinFET technology. The QSC includes an augmented general-purpose digital processor that supports waveform generation and phase rotation operations combined with a low power current-mode single sideband upconversion I/Q mixer-based RF arbitrary waveform generator (AWG). Implemented in 14nm CMOS FinFET technology, the QSC generates control signals in its target 4.5GHz to 5.5 GHz frequency range, achieving an SFDR > 50dB for a signal bandwidth of 500MHz. With the controller operating in the 4K stage of a cryostat and connected to a transmon qubit in the cryostat's millikelvin stage, measured transmon T1 and T2 coherence times were 75.5uS and 73 uS, respectively, in each case comparable to results achieved using conventional room temperature controls. In further tests with transmons, a qubit-limited error rate of 7.76x10-4 per Clifford gate is achieved, again comparable to results achieved using room temperature controls. The QSC's maximum RF output power is -18 dBm, and power dissipation per qubit under active control is 23mW.
Biography: Sudipto Chakraborty received his B. Tech from Indian Institute of Technology, Kharagpur in 1998 and Ph.D in EE from Georgia Institute of Technology in 2002. He worked as a researcher in Georgia Electronic Design Center (GEDC) till 2004. From 2004 to 2016, he was a senior member of technical staff at Texas Instruments where he contributed to low power integrated circuit design in more than 10 product families in the areas of automotive, wireless, medical and microcontrollers. Since 2017, he has been working at the IBM T. J. Watson Research Center where he leads the low power circuit design for next generation quantum computing applications using nano CMOS technology nodes. He has authored or co-authored more than 75 papers, two books and holds 87 US patents. He has served in the technical program committees of various conferences including CICC, RFIC, IMS and has been elected as an IBM master inventor in 2022 for his contributions.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Information: Chaitali Joshi 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. -
ECE Seminar: QMC of everything: A universal algorithm for simulating arbitrary quantum many-body systems
Tue, Nov 07, 2023 @ 01:00 PM - 02:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Itay Hen, Principal Scientist, USC Viterbi Information Sciences Institute
Talk Title: QMC of everything: A universal algorithm for simulating arbitrary quantum many-body systems
Abstract: Gaining insight into the equilibrium properties of quantum many-body systems is essential for advancing our understanding of fundamental physics, materials science, and a wide range of scientific and technological applications. Quantum Monte Carlo (QMC) techniques are, in the majority of cases, the only viable approach to developing a systematic understanding of large-scale quantum systems. However, current QMC schemes have limitations, with a major one being the need to tailor distinct, specific updates to each model to ensure the ergodicity of the stochastic process. In this talk, I will discuss a novel, universal, parameter-free QMC algorithm capable of simulating arbitrarily conceived physical models, including models containing mixtures of particle types and interactions in arbitrary geometries. This work is a collaboration with Lev Barash (ISI) and Arman Babakhani (Physics Dept. and ISI).
Biography: Itay Hen is a Principal Scientist at Viterbi's Information Sciences Institute, where he leads the computational physics group. He also holds an adjunct appointment as a research associate professor in the Department of Physics and Astronomy. Dr. Hen's main areas of research are quantum computing, specifically quantum simulation algorithms, and computational physics, particularly quantum many-body simulations and optimization. He currently serves as the PI for several quantum computing-related projects sponsored by DARPA, the Department of Energy, and the NSF. Dr. Hen earned his Ph.D. in particle physics from Tel-Aviv University in 2009. He then held a postdoctoral fellowship in theoretical condensed matter at Georgetown University and later completed another postdoctoral fellowship in theoretical condensed matter and quantum computing at UC Santa Cruz in 2012. Before joining USC in 2013, Dr. Hen spent a year as a senior scientist in the Intelligent Systems Division at NASA Ames Research Center as a member of the Quantum Artificial Intelligence Laboratory.
Host: Dr. Richard M. Leahy, leahy@usc.edu
Webcast: https://usc.zoom.us/j/99781295519?pwd=RVFOelJUbVhJS0pPek5RcERpc3RvQT09More Information: ECE-Seminar-Hen-110723.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/99781295519?pwd=RVFOelJUbVhJS0pPek5RcERpc3RvQT09
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. -
Distinguished Lecturer Series: Dr. David Patterson
Wed, Nov 08, 2023 @ 03:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. David Patterson, UC Berkeley Pardee Professor of Computer Science, Emeritus | Vice Chair of the Board of Directors of RISC-V Foundation
Talk Title: A Decade of Machine Learning Accelerators: Lessons Learned and Carbon Footprint
Abstract: The success of deep neural networks (DNNs) from Machine Learning (ML) has inspired domain specific architectures (DSAs) for them. Google's first-generation DSA offered 50x improvement over conventional architectures for ML inference in 2015. Google next built the first production DSA supercomputer for the much harder problem of training. Subsequent generations greatly improved performance of both phases. We start with ten lessons learned from such efforts.
The rapid growth of DNNs rightfully raised concerns about their carbon footprint. The second part of the talk identifies the "4Ms" (Model, Machine, Mechanization, Map) that, if optimized, can reduce ML training energy by up to 100x and carbon emissions up to 1000x. By improving the 4Ms, ML held steady at
Biography: David Patterson is a UC Berkeley Pardee professor emeritus, a Google distinguished engineer, and the RISC-V International Vice-Chair. His most influential Berkeley projects likely were RISC (Reduced Instruction Set Computer) and RAID (Redundant Array of Inexpensive Disks). His best-known book is Computer Architecture: A Quantitative Approach. He and his co-author John Hennessy shared the 2017 ACM A.M Turing Award and the 2022 NAE Charles Stark Draper Prize for Engineering. The Turing Award is often referred to as the "Nobel Prize of Computing" and the Draper Prize is considered a "Nobel Prize of Engineering."
Host: Drs. Timothy Pinkston, Arash Saifhashemi
Location: EEB 132
Audiences: Everyone Is Invited
Contact: Miki Arlen
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 Seminar - Jelena Vuckovic, Friday, November 10th at 10am in EEB 132 & Zoom
Fri, Nov 10, 2023 @ 10:00 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jelena Vuckovic, Stanford University
Talk Title: Unlocking the power of photonics through inverse design and heterogeneous integration
Series: Munushian Visiting Seminar Series
Abstract: Novel computational techniques such as photonics inverse design, along with new nanofabrication approaches, play a crucial role in building scalable integrated photonics. While initial inverse design demonstrations focused on individual small footprint devices, recent developments enable rapid optimization of large 3-dimensional structures, with linear dimensions over 100 microns, and fully compatible with foundry fabrication. We illustrate this with recent demonstrations of powerful integrated photonic systems for applications such as optical interconnects. To enable all necessary functionalities, future photonic systems also require integration of traditional and non-traditional photonic materials, including silicon, silicon-carbide, diamond, sapphire, and strong electro-optic materials such as lithium niobate, strontium titanate, and barium titanate. We show that compact and efficient lasers, isolators, electro-optic modulators, and detectors can all be integrated on silicon compatible platform. We also show that a broadly tunable Ti:sapphire laser, the workhorse of optics laboratories, can be miniaturized into sub-cubic centimeter volume together with its pump, and without any loss of performance. Finally, we will discuss how silicon carbide and diamond can be employed to build scalable quantum technologies.
Biography: Jelena Vuckovic (PhD Caltech 2002) is the Jensen Huang Professor in Global Leadership in the School of Engineering, and Professor of Electrical Engineering and by courtesy of Applied Physics at Stanford, where she leads the Nanoscale and Quantum Photonics Lab. She was the inaugural director of Q-FARM, the Stanford-SLAC Quantum Science and Engineering Initiative, and the Fortinet Founders Chair of the Electrical Engineering Department at Stanford. Vuckovic has received many awards and honors including recently the Geoffrey Frew Fellowship from the Australian Academy of Sciences (2023), the Vannevar Bush Faculty Fellowship (2022), the Mildred Dresselhaus Lectureship from MIT (2021), the James Gordon Memorial Speakership from the OSA (2020), the IET A. F. Harvey Engineering Research Prize (2019), Distinguished Scholarship of the Max Planck Institute for Quantum Optics (2019), the Hans Fischer Senior Fellowship from the Institute for Advanced Studies in Munich (2013), and the Humboldt Prize (2010). She is a member of the National Academy of Sciences (NAS), Fellow of the APS, of the Optica, and of the IEEE, and an associate editor of the ACS Photonics.
Host: ECE-EP
Webcast: Zoom ID 98662068700 Passcode 538109More Information: Jelena Vuckovic Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: Zoom ID 98662068700 Passcode 538109
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. -
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. -
ECE Seminar: Safe Autonomous Systems through Neurosymbolic Reasoning
Thu, Nov 30, 2023 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jyotirmoy V. Deshmukh, Associate Professor, Thomas Lord Department of Computer Science, USC Viterbi School of Engineering
Talk Title: Safe Autonomous Systems through Neurosymbolic Reasoning
Abstract: Huge strides have made in the widespread adoption of autonomous and human-in-the-loop cyber-physical systems (CPS), partly fueled by dramatic improvements in learning-based techniques. An important aspect of many such CPS applications is that they are safety-critical; any undesirable behavior by such systems can cause serious harm to human lives or property. The formal methods community has been an advocate of using logic and automata as specifications for safety-critical CPSs, and the past few decades have seen significant strides in algorithms for their verification, testing, and automated synthesis. A new challenge now is the presence of learning-enabled components (LECs) in CPSs. In this talk, we will review some recent work on using logic and learning-based techniques to provide guarantees for CPS applications using LECs. Such techniques are neurosymbolic in nature; they rely on infusing symbolic knowledge in neural network-based learning algorithms, as well as using symbolic techniques to reason about such neural systems. We will discuss the applicability and scalability of these techniques to real-world systems, discussing some success stories, as well as lay out some of the challenge problems that would need to be solved.
Biography: Jyotirmoy V. Deshmukh (Jyo) is an Associate Professor in the Department of Computer Science at the University of Southern California, and the co-Director of the Center for Autonomy and AI. Before joining USC, Jyo worked as a Principal Research Engineer at Toyota R&D. He got his Ph.D. in Electrical and Computer Engineering from the University of Texas at Austin in 2010. He was the 2010-12 Computing Innovation Postdoctoral research Fellow at the University of Pennsylvania. He is the recipient of the 2021 NSF Career Award and the 2021 Amazon Research Award.
Host: Dr. Richard M. Leahy, leahy@usc.edu
Webcast: https://usc.zoom.us/j/93509653910?pwd=QjVaQUhPOWVHVHFibXE3VjRkRXN4dz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/93509653910?pwd=QjVaQUhPOWVHVHFibXE3VjRkRXN4dz09
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. -
Quantum Science & Technology Seminar - Chaitali Joshi, Thursday, Nov. 30th at 2pm in EEB 248
Thu, Nov 30, 2023 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Chaitali Joshi, Google, Santa Barbara
Talk Title: A chiral light-matter interface with superconducting qubits
Series: Quantum Science & Technology Seminar Series
Abstract: Noise Improving qubit connectivity in quantum networks is crucial for distributed information processing, and for reducing resource overheads in certain error correction protocols. While superconducting circuits have shown great promise for large-scale quantum processors, controlling the flow of light in complex qubit networks has remained a challenge. In this talk, I will discuss our recent work on realizing nonreciprocal light-matter interactions in the microwave domain using a transmon qubit strongly coupled to a 1D waveguide. By modulating the atom-waveguide coupling using magnetic fields, we gain control over the direction of photon emission from the qubit, with the ratio of forward-to-backward coupling rates exceeding 100. I will discuss applications of this platform, including photon-mediated gates between distant qubits and the preparation of many-body dark states in chiral atom arrays. In the second part, I will discuss our exploratory work on using disordered superconducting materials for nonlinear devices suitable for quantum links operating in the millimeter-wave frequency regime. Work based on: Phys. Rev. X 13, 021039 (2023), Phys. Rev. Applied 18, 064088 (2022)
Biography: Chaitali is currently a quantum research scientist at Google Santa Barbara. Previously, she was an IQIM/AWS Postdoctoral scholar in Electrical Engineering at Caltech, where she worked on waveguide quantum electrodynamics with superconducting qubits. She obtained her PhD from Cornell University in 2020, where she worked on nonlinear and integrated photonics for time-frequency manipulation of quantum states of light.
Host: Quntao Zhang, Wade Hsu, Mengjie Yu, Jonathan Habif & Eli Levenson-Falk
More Information: Chaitali Joshi Flyer.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
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.