Conferences, Lectures, & Seminars
Events for March
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Semiconductors & Microelectronics Seminar - Yiyang Li, Friday, March 1st at 2pm in EEB 248
Fri, Mar 01, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yiyang Li, University of Michigan
Talk Title: How to Store Information Indefinitely using Ions
Series: Semiconductors & Microelectronics Technology
Abstract: Ion-based memory devices including resistive memory and electrochemical memory present promising opportunities for embedded nonvolatile memory, in-memory computing, and neuromorphic computing. Such devices switch resistance states through the electrochemical migration of oxygen vacancies in transition metal oxides. In this talk, we present our recent research on the materials thermodynamics principles that govern ion motion in oxygen-based resistive memory. Using a combination of device measurements, materials characterization, and multiscale physical modeling, we find that oxygen vacancies do not obey Fick's First Law of diffusion as conventionally believed, but instead undergo composition phase separation, which enables diffusion against the concentration gradient. This phase separation is critical to the ability of resistive memory to retain information for long, and potentially indefinite, periods of time. Finally, we utilize this understanding of phase separation in transition metal oxides to engineer exceptionally long retention times in three-terminal electrochemical memory.
Biography: Yiyang Li is an Assistant Professor of Materials Science and Engineering at the University of Michigan, where he conducts research on ionic memory and energy storage. Trained as an electrochemist, he received his PhD at Stanford University in 2016, and was appointed a Harry Truman Fellow at Sandia National Labs. Yiyang received the Intel Rising Star Faculty Award in 2022.
Host: J Yang, H Wang, C Zhou, S Cronin, W Wu
More Information: Yiyang Li_2024-03-01.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. -
ECE-EP seminar - Rishabh Sahu, Monday, March 4th at 2pm in EEB 248
Mon, Mar 04, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Rishabh Sahu, Postdoctoral scholar, IST Austria
Talk Title: Building Quantum Networks with Quantum Electrooptics
Series: ECE-EP Seminar
Abstract: In the last few decades, a myriad of physical systems such as photons, atoms, ions and spins have been explored for various different quantum technologies such as computation, communication and meteorology. Until now, no single physical system has been suitable for all the different quantum applications and, therefore, different systems are utilized in different spheres usually without any intercompatibility between them. A solution to this emerging chaos in the quantum landscape is to build hybrid quantum networks where various quantum systems with their unique advantages can be connected together to build a combined system able to perform better than the sum of its aggregates. The nodes in such a network would be connected using flying qubits - telecom wavelength optical photons - which would also allow these nodes to be separated by long distances. There has been some progress in this direction, particularly attempts to make trapped ions and solid state qubits compatible with optical photons. However, making microwave technologies such as superconducting qubits compatible with high energy optics is more challenging due to the large energy gap between the two. In this talk, I will present how quantum electro optics can be used to establish a quantum bridge between microwave and optical frequencies. Such a bridge would not only allow connection of superconducting quits over a long distance but also would be a key step in making future hybrid quantum networks a reality.
Biography: Rishabh completed his bachelor's and master's degree in Physics at the Indian Institute of Technology, Kanpur. His research mainly involved studying orbital angular momentum of light, in particular, sorting photons in this basis to get a multidimensional basis for photons. His master's thesis involved simulating Maxwell's equation using Finite Difference Time Domain (FDTD) method. Rishabh started graduate school at ISTA in fall of 2018 and joined the Fink group in 2019. He graduated in 2023 and works now as a postdoc on new cavity electrooptics experiments.
Host: ECE-EP
Webcast: https://usc.zoom.us/j/97370470279?pwd=NGZ4aWdGUHRjUUtrQllkemVIV3lxQT09More Information: Rishabh Sahu Seminar Announcement.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/97370470279?pwd=NGZ4aWdGUHRjUUtrQllkemVIV3lxQT09
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. -
CSC/CommNetS-MHI Seminar: Magnus Egerstedt
Mon, Mar 04, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Magnus Egerstedt, Dean of Engineering, Professor | Department of Electrical Engineering and Computer Science | University of California, Irvine
Talk Title: Mutualistic interactions in heterogeneous multi-robot systems
Series: CSC/CommNetS-MHI Seminar Series
Abstract:
The typical approach to multi-robot systems is to divide the team-level tasks into suitable building blocks and have the robots solve their respective subtasks in a coordinated manner. However, by bringing together robots with different capabilities, it should be possible to arrive at completely new capabilities and skill-sets. In other words, the whole becomes greater than the sum of its parts. In this talk, we will formalize this idea through the composition of barrier functions for encoding the collaborative arrangements in terms of expanding and contracting the reachable and safe sets. Inspired by the ecological concept of a mutualism, i.e., the interaction between two or more species that benefit everyone involved, the formalism is contextualized in a long-duration setting, i.e., for robots deployed over long time scales where optimality have to take a backseat to "survivability".
Biography:
Dr. Magnus Egerstedt is the Dean of Engineering and a Professor in the Department of Electrical Engineering and Computer Science at the University of California, Irvine. Prior to joining UCI, Egerstedt was on the faculty at the Georgia Institute of Technology. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt conducts research in the areas of control theory and robotics, with particular focus on control and coordination of multi-robot systems. Magnus Egerstedt is a Fellow of IEEE and IFAC, a member of the Royal Swedish
Academy of Engineering Science, and currently serves as the President of the IEEE Control Systems Society. He has received a number of teaching and research awards, including the Ragazzini Award, the O. Hugo Schuck Best Paper Award, and the Alumni of the Year Award from the Royal Institute of Technology.
Host: Dr Lars Lindemann, llindema@usc.edu | Dr Mihailo Jovanovic, mihailo@usc.edu
More Info: https://csc.usc.edu/seminars/2024Spring/egerstedt.html
More Information: 2024.03.04 CSC Seminar - Magnus Egerstedt.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Miki Arlen
Event Link: https://csc.usc.edu/seminars/2024Spring/egerstedt.html
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: Sarah H. Cen
Thu, Mar 07, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Sarah H. Cen, EECS Dept, MIT
Talk Title: Paths to AI Accountability
Abstract: We have begun grappling with difficult questions related to the rise of AI, including: What rights do individuals have in the age of AI? When should we regulate AI and when should we abstain? What degree of transparency is needed to monitor AI systems? These questions are all concerned with AI accountability: determining who owes responsibility and to whom in the age of AI. In this talk, I will discuss the two main components of AI accountability, then illustrate them through a case study on social media. Within the context of social media, I will focus on how social media platforms filter (or curate) the content that users see. I will review several methods for auditing social media, drawing from concepts and tools in hypothesis testing, causal inference, and LLMs.
Biography: Sarah is a final-year PhD student at MIT in the Electrical Engineering and Computer Science Department advised by Professor Aleksander Madry and Professor Devavrat Shah. Sarah utilizes methods from machine learning, statistical inference, causal inference, and game theory to study responsible computing and AI policy. Previously, she has written about social media, trustworthy algorithms, algorithmic fairness, and more. She is currently interested in AI auditing, AI supply chains, and IP Law x Gen AI.
Host: Drs. Urbashi Mitra (ubli@usc.edu) and Mahdi Soltanolkotabi (soltanol@usc.edu)
Webcast: https://usc.zoom.us/j/97190024349?pwd=a0NTY2J5WjdKQUsvL3BtdTBSNGZTQT09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/97190024349?pwd=a0NTY2J5WjdKQUsvL3BtdTBSNGZTQT09
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 - David Vitali - Friday, March 8th at 10am in EEB 248
Fri, Mar 08, 2024 @ 10:00 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: David Vitali, Univeristy of Camerino, Italy
Talk Title: Quantum Sensing and Quantum State Manipulation in Cavity Optomechanics
Series: Quantum Science & Technology Seminar Series
Abstract: Cavity Optomechanics offers the possibility to generate and manipulate quantum states of mesoscopic mechanical resonators allowing the realization of useful components of quantum networks, and at the same time testing fundamental aspects of physics theories. We will review recent proposals for generating multipartite entangled states of mechanical resonators and also their exploitation for quantum sensing of weak forces and signals.
Biography: David Vitali graduated in Physics at the University of Pisa in 1988 and obtained his PhD in Physics from the Scuola Normale Superiore of Pisa in 1994. He has been Visiting Lecturer at the University of North Texas (USA), at the Ecole Normale Superieure in Paris, at the University of Queensland , Brisbane (Australia), and at the University of Vienna. He is Full Professor of Theoretical Physics at the University of Camerino since 2015. He is the author of 193 publications in international refereed journals, with more than 10700 citations and Hirsch index h = 52 referring to the SCOPUS database. He has carried out research in many subfields of Quantum Optics and Quantum Information Theory, such as entanglement manipulation, quantum communication and quantum key distribution, quantum optics implementation of quantum technologies. In 2015 he was named APS Fellow of the American Physical Society, "For groundbreaking work on cavity opto-mechanics, which proved to provide an ideal and flexible environment for quantum information processing and quantum-limited sensing; for proposing pioneering techniques to control decoherence in quantum systems." In 2021 he was nominated OPTICA Senior Member, and he has coordinated various European projects and many National projects, all related to quantum technologies and quantum optomechanics.
Host: Quntao Zhang, Wade Hsu, Mengjie Yu, Jonathan Habif & Eli Levenson-Falk
More Information: David Vitali Seminar 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. -
ECE-S Seminar - Zhijian Liu
Fri, Mar 08, 2024 @ 10:30 AM - 11:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Zhijian Liu, PhD Candidate | Massachusetts Institute of Technology
Talk Title: Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications
Abstract: Machine learning is widely used across a broad spectrum of applications. However, behind its remarkable performance lies an increasing gap between the demand for and supply of computation. On the demand side, the computational costs of machine learning models have surged dramatically, driven by ever-larger input and model sizes. On the supply side, as Moore's Law slows down, hardware no longer delivers increasing performance within the same power budget.
In this talk, I will discuss my research efforts to bridge this demand-supply gap through the lens of sparsity. I will begin by discussing my research on input sparsity. First, I will introduce algorithms that systematically eliminate the least important patches/tokens from dense input data, such as images, enabling up to 60% sparsity without any loss in accuracy. Then, I will present the system library that we have developed to effectively translate the theoretical savings from sparsity to practical speedups on hardware. Our system is up to 3 times faster than the leading industry solution from NVIDIA. Following this, I will touch on my research on model sparsity, highlighting a family of automated, hardware-aware model compression frameworks that surpass manual solutions in accuracy and reduce the design process from weeks of human efforts to mere hours of GPU computation. Finally, I will present several examples demonstrating the use of sparsity to accelerate computation-intensive AI applications, such as autonomous driving, language modeling, and high-energy physics. I will conclude this talk with an overview of my ongoing work and my vision towards building more efficient and accessible AI.
Biography: Zhijian Liu is a Ph.D. candidate at MIT, advised by Song Han. His research focuses on efficient machine learning. He has developed efficient ML algorithms and provided them with effective system/algorithm support. He has also contributed to accelerating computation-intensive AI applications in computer vision, natural language processing, and scientific discovery. His work has been featured as oral and spotlight presentations at conferences such as NeurIPS, ICLR, and CVPR. He was selected as the recipient of the Qualcomm Innovation Fellowship and the NVIDIA Graduate Fellowship. He was also recognized as a Rising Star in ML and Systems by MLCommons and a Rising Star in Data Science by UChicago and UCSD. Previously, he was the founding research scientist at OmniML, which was acquired by NVIDIA.
Host: Mahdi Soltanolkotabi, soltanol@usc.edu | Peter Beerel, pabeerel@usc.edu
More Info: https://usc.zoom.us/j/96790337008?pwd=ZDljTkhHYjRQaUovUmJTSHZhR1ovUT09
Webcast: https://usc.zoom.us/j/96790337008?pwd=ZDljTkhHYjRQaUovUmJTSHZhR1ovUT09More Information: 2024.03.08 ECE Seminar - Zhijian Liu.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/96790337008?pwd=ZDljTkhHYjRQaUovUmJTSHZhR1ovUT09
Audiences: Everyone Is Invited
Contact: Miki Arlen
Event Link: https://usc.zoom.us/j/96790337008?pwd=ZDljTkhHYjRQaUovUmJTSHZhR1ovUT09
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 - George Malliaras, Friday, March 15th at 3pm in EEB 132
Fri, Mar 15, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: George Malliaras, University of Cambridge
Talk Title: Technology for Bioelectronic Medicine
Series: Munushian Visiting Seminar Series
Abstract: Neurological conditions affect one in six people, imposing significant health, economic and societal burden. Bioelectronic medicine aims to restore or replace neurological function with the help of implantable electronic devices. Unfortunately, significant technological limitations prohibit these devices from reaching patients at scale, as implants are bulky, require invasive implantation procedures, elicit a pronounced foreign body response, and show poor treatment specificity and off-target effects. Over the past decade, new devices made using methods from microelectronics industry have been shown to overcome these limitations. Recent literature provides powerful demonstrations of thin film implants that are miniaturised, ultra-conformal, stretchable, multiplexed, integrated with different sensors and actuators, bioresorbable, and minimally invasive. I will discuss the state-of-the-art of these new technologies and the barriers than need to be overcome to reach patients at scale.
Biography: George Malliaras is the Prince Philip Professor of Technology at the University of Cambridge. He leads the Bioelectronics Laboratory, an interdisciplinary group of scientists, engineers and clinicians who translate advances in electronics to better tools for healthcare. George received a BS from the Aristotle University, Greece, a PhD from the University of Groningen, the Netherlands, and did a postdoc at the IBM Almaden Research Center, USA. Before joining Cambridge, he was a faculty member at Cornell University in the USA, where he also served as the Director of the Cornell NanoScale Facility, and at the School of Mines of St. Etienne in France. His research has been recognized with awards from the European Academy of Sciences (Blaise Pascal Medal), the Materials Research Society (Mid-Career Researcher Award), the New York Academy of Sciences (Blavatnik Award for Young Scientists), the US National Science Foundation (Faculty Early Career Development Award), and DuPont (Young Professor Award). He was awarded an Honorary Doctorate from the University of Linköping (Sweden), elected Fellow of the Materials Research Society and of the Royal Society of Chemistry, and is a member of the Academia Europaea and of the European Academy of Sciences. He serves as a Deputy Editor of Science Advances.
Host: ECE-Electrophysics
More Information: George Malliaras 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: Marcelo Orenes-Vera, "Navigating Heterogeneity and Scalability in Modern Chip Design"
Mon, Mar 18, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Marcelo Orenes-Vera, PhD Candidate, Dept of CS, Princeton University
Talk Title: Navigating Heterogeneity and Scalability in Modern Chip Design
Abstract: Abstract: The pursuit of continued improvements in performance and energy efficiency, following the end of Moore's Law and Dennard scaling, marks a pivotal moment in system architecture. As modern systems leverage parallelism and hardware specialization to achieve these goals, new challenges arise:
(1) The complexity of the system grows with the number of distinct hardware components, making it difficult to verify that it will behave correctly and securely;
(2) Parallelizing applications across more processing elements increases the pressure on the memory hierarchy and the network to supply data, which results in severe bottlenecks for data-and communication-intensive applications such as graph analytics and sparse linear algebra.
These challenges call for re-thinking our software abstractions and hardware designs to achieve scalable and efficient systems, as well as introducing robust methodologies to ensure their correctness and security. This talk presents my work on scalable data-centric architectures that co-design the hardware with a migrate-compute-to-the-data programming model to outperform the best results from the Graph500 list. Moreover, this architecture offers a chiplet-based design that enables post-silicon re-configuration of critical resources like the memory hierarchy or network-on-chip for a cost-efficient integration based on different deployment targets. In addition, this talk also introduces two formal-verification-based tools that assist the design of verifiably correct and secure hardware RTL by leveraging high-level abstraction primitives. In addition to facilitating the design process, my verification work also identified and fixed security vulnerabilities and correctness bugs in widely used open-source hardware projects.
Biography: Marcelo is a PhD candidate at Princeton University advised by Margaret Martonosi and David Wentzlaff. His research focuses on Computer Architecture, from hardware RTL design and verification to software programming models of novel architectures. He has previously worked in the hardware industry at Arm, contributing to the design and verification of three GPU projects; at Cerebras Systems, creating high-performance kernels for the Wafer-Scale Engine; and at AMD Research, contributing to design next-generation data centers optimized for large graph structure traversal. At Princeton, he has contributed in two chip tapeouts that aims to improve the performance, power and programmability of ML and Graph workloads. His contributions to scalable data-centric architectures were recognized with the gold medal at the ACM/SIGMICRO 2022 SRC and with an honorable mention at the IEEE Top Picks of 2023.
Host: Dr. Massoud Pedram, pedram@usc.edu
Webcast: https://usc.zoom.us/j/98003769115?pwd=Sm5JU2RUN1N4Qnd6UkZSOTFEdFpzZz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/98003769115?pwd=Sm5JU2RUN1N4Qnd6UkZSOTFEdFpzZz09
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. -
CSC/CommNetS-MHI Seminar: Nickolay Atanasov
Mon, Mar 18, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Nickolay Atanasov, Assistant Professor of Electrical and Computer Engineering | University of California, San Diego
Talk Title: Elements of generalizable mobile robot autonomy
Abstract: This seminar will discuss mobile robot autonomy in novel, unstructured, changing environments. It will argue that successful generalization requires motion, environment, and task models that can be constructed and adapted from streaming sensor observations and interaction among multiple robots. Four elements of generalizable mobile robot autonomy will be presented: 1) physics-informed motion-model learning using neural ordinary differential equations, 2) online mapping using object and semantic information, 3) multi-robot coordination using distributed optimization, and 4) task modeling and planning using automata labeled with object semantics.
Biography: Nikolay Atanasov is an Assistant Professor of Electrical and Computer Engineering at the University of California San Diego, La Jolla, CA, USA. He obtained a B.S. degree in Electrical Engineering from Trinity College, Hartford, CT, USA in 2008, and M.S. and Ph.D. degrees in Electrical and Systems Engineering from University of Pennsylvania, Philadelphia, PA, USA in 2012 and 2015, respectively. Dr. Atanasov's research focuses on robotics, control theory, and machine learning with emphasis on active perception problems for autonomous mobile robots. He works on probabilistic models and inference techniques for simultaneous localization and mapping (SLAM) and on optimal control and reinforcement learning techniques for autonomous navigation and uncertainty minimization. Dr. Atanasov's work has been recognized by the Joseph and Rosaline Wolf award for the best Ph.D. dissertation in Electrical and Systems Engineering at the University of Pennsylvania in 2015, the Best Conference Paper Award at the IEEE International Conference on Robotics and Automation (ICRA) in 2017, the NSF CAREER Award in 2021, and the IEEE RAS Early Academic Career Award in Robotics and Automation in 2023.
Host: Dr. Lars Lindemann, llindema@usc.edu
More Info: https://csc.usc.edu/seminars/2024Spring/atanasov.html
More Information: 2024.03.18 CSC Seminar - Nikolay Atanasov.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Contact: Miki Arlen
Event Link: https://csc.usc.edu/seminars/2024Spring/atanasov.html
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-S Seminar - Dr. Peipei Zhou
Tue, Mar 19, 2024 @ 01:00 PM - 02:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Peipei Zhou, Assistant Professor | Department of Electrical Computer Engineering | University of Pittsburgh
Talk Title: Efficient Programming on Heterogeneous Accelerators for Sustainable Computing
Abstract: There is a growing call for increasingly agile computational power for edge and cloud infrastructure to serve the computationally complex needs of ubiquitous computing devices. One important challenge is addressing the holistic environmental impacts of these computing systems. A life-cycle view of sustainability for computing systems is necessary to reduce environmental impacts such as greenhouse gas emissions from these computing systems in different phases: manufacturing, operational, and disposal/recycling. My research investigates how to efficiently program and map widely used workloads on heterogeneous accelerators and seamlessly integrate them with existing computing systems towards sustainable computing.
In this talk, I will first discuss how new mapping solutions, i.e., composing heterogeneous accelerators within system-on-chip with both FPGAs and AI tensor cores, achieve orders of magnitude energy efficiency gains when compared to monolithic accelerator mapping designs for various applications, including deep learning, security, and others. Then, I will apply such novel mapping solutions to show how design space explorations are performed when composing heterogeneous accelerators in latency-through tradeoff analysis. I will further discuss how such mapping and scheduling can be applied to other computing systems, such as GPUs, to improve energy efficiency and, therefore, reduce the operational carbon cost. Finally, I will introduce the REFRESH FPGA chiplets, explain why REFRESH chiplets help reduce the embodied carbon cost, and discuss the challenges and opportunities.
Biography: Peipei Zhou is a tenure-track assistant professor in the Department of Electrical Computer Engineering at the University of Pittsburgh. She received her Ph.D. in Computer Science (2019) and M.S. in Electrical and Computer Engineering (2014) from UCLA, and her B.S. in Electrical and Computer Engineering (2012) from Southeast University. Her research investigates architecture, programming abstraction, and design automation tools for reconfigurable computing and heterogeneous computing. She has published 30 papers in IEEE/ACM computer system and design automation conferences and journals including FPGA, FCCM, DAC, ICCAD, ISPASS, TCAD, TODAES, TECS, IEEE Micro, etc. Her work has won the 2019 IEEE TCAD Donald O. Pederson Best Paper Award. Other awards include the 2023 ACM/IEEE IGSC Best Viewpoint Paper Finalist, the 2018 IEEE ISPASS Best Paper Nominee, and the 2018 IEEE/ACM ICCAD Best Paper Nominee.
Host: Dr. Peter Beerel, pabeerel@usc.edu
More Info: https://usc.zoom.us/j/92387554175?pwd=ZmFRL0NnZE1sLy82dzBiSXYzbUFVdz09
Webcast: https://usc.zoom.us/j/92387554175?pwd=ZmFRL0NnZE1sLy82dzBiSXYzbUFVdz09More Information: 2024.03.19 ECE-S Seminar - Peipei Zhou.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
WebCast Link: https://usc.zoom.us/j/92387554175?pwd=ZmFRL0NnZE1sLy82dzBiSXYzbUFVdz09
Audiences: Everyone Is Invited
Contact: Miki Arlen
Event Link: https://usc.zoom.us/j/92387554175?pwd=ZmFRL0NnZE1sLy82dzBiSXYzbUFVdz09
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-EP Seminar - Yue (Joyce) Jiang, Tuesday, March 19th at 2pm in EEB 248
Tue, Mar 19, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yue (Joyce) Jiang, JILA, University of Colorado Boulder
Talk Title: Exploring Quantum Harmony between Superconducting Circuits & Cold Atoms
Series: ECE-EP Seminar
Abstract: Join me in this talk as I share my research journey in quantum information science, transitioning from cold atoms to superconducting circuits and exploring their harmonious collaboration in advancing quantum science and technology. In the first part, I will discuss the demonstration of a quantum-enhanced sensing technique at microwave frequencies using superconducting circuits to accelerate the search for weak signals arising from physics beyond the Standard Model, with a specific focus on axion dark matter searches. Shifting gears in the second part, we will delve into quantum optics experiments that utilize the nonlinear interaction between the cold atomic ensemble and optical photons, unveiling the fascinating realm of non- Hermitian quantum optics. Wrapping up, we will explore the exciting science that leverages the strengths of both systems, utilizing superconducting-atomic hybrid systems to bridge the gap between quantum information science in microwave and optical frequencies.
Biography: Yue (Joyce) Jiang is a postdoctoral research associate at JILA. She earned her Ph.D. in Physics from the Hong Kong University of Science and Technology under the guidance of Prof. Shengwang Du in 2020, focusing on studying the nonlinear interaction between photons and laser-cooled atomic ensembles. Currently at JILA, she works with Prof. Konrad Lehnert on developing quantum-enhanced sensing techniques for weak signal detection using superconducting circuits.
Host: ECE-EP
Webcast: https://usc.zoom.us/j/93212540080?pwd=ODI5cXJ2N0RQQW9CNE9MQW5Ea3A0dz09More Information: Yue (Joyce) Jiang Seminar Announcement.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/93212540080?pwd=ODI5cXJ2N0RQQW9CNE9MQW5Ea3A0dz09
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-EP seminar - Saransh Sharma, Thursday, March 21st at 2pm in EEB 248
Thu, Mar 21, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Saransh Sharma, Massachusetts Institute of Technology
Talk Title: Miniaturized Biomedical Devices for Navigation, Sensing and Stimulation
Series: ECE-EP Seminar
Abstract: Medical electronic devices are an integral part of the healthcare system today and are used in a variety of applications around us. The design of such devices has several stringent requirements, the key being miniaturization, low-power operation, and wireless functionality. In this talk, I will present CMOS-based miniaturized, low-power and wireless biomedical devices in three broad domains: (a) in-vivo navigation and tracking, (b) in-vivo sensing of biomarkers and physiological signals, and (c) in-vivo stimulation and drug delivery. For the first part, I will talk about ingestible and implantable devices that can be used to achieve sub-mm tracking accuracy in 3D and in real time inside the human body, which is very useful for localizing devices in the GI tract, during precision surgeries and minimally invasive procedures. In the second part, I will present the design of a novel on-chip 3D magnetic sensor that is highly miniaturized and low- power, thus making it suitable for many biomedical applications. In the last part, I will briefly talk about my recent work on a wearable device for multi-modal sensing from sweat, followed by ongoing work on devices for stimulation and drug-delivery. I will end the talk with a glimpse of my future research direction.
Biography: Saransh Sharma received the B.Tech. degree in Electronics and Electrical Communication Engineering from IIT Kharagpur, India, in 2017 and the M.S. and Ph.D. degree in Electrical Engineering from Caltech, Pasadena, CA, USA, in 2018 and 2023 respectively. He is currently a post- doctoral scholar at MIT, Cambridge, MA, USA. His research is on integrated circuits and systems design, with special emphasis on low-power biomedical applications. He was a recipient of the Demetriades-Tsafka-Kokkalis award for best PhD thesis at Caltech in biotechnology and related fields, the Jakob van Zyl Predoctoral Research award at Caltech, Lewis Winner Award for Outstanding Paper at ISSCC 2024, Charles Lee Powell Fellowship at Caltech, and Excellence in Mentorship award at Caltech for mentoring undergraduate and graduate research students.
Host: ECE-EP
Webcast: WldndTF6ZGZPbHFJUT09More Information: Saransh Sharma Seminar Announcement.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: WldndTF6ZGZPbHFJUT09
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: Dr. Guanghan Meng, "Capturing Life: Optical Microscopy for in vivo Deep Tissue Imaging at High Spatiotemporal Resolution"
Mon, Mar 25, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Guanghan Meng, Postdoctoral Scholar, Dept of EECS, UC Berkeley
Talk Title: Capturing Life: Optical Microscopy for in vivo Deep Tissue Imaging at High Spatiotemporal Resolution
Abstract: Optical microscopy has become an indispensable tool for non-invasive, high-resolution in vivo imaging of living organisms. Its capability to provide insights into real-time physiological and pathological processes within the body underscores its significance in bioscience and medicine. However, conventional optical microscopy methods have certain limitations. For instance, multiphoton fluorescence microscopy, the method of choice for in vivo imaging through scattering tissue such as the mammalian brains, delivers excellent resolution but falls short in speed for capturing rapid biological activities, such as blood flow dynamics. On the other hand, optical coherence tomography (OCT), a label-free deep-tissue imaging method, stands as a powerful instrument in contemporary optometry clinics, but its high cost limits its broad use, especially in lower-income communities. In this presentation, I will share my research on the development of high-speed multiphoton fluorescence microscopy and cost-effective OCT for brain and eye imaging, respectively, through the utilization of both optical engineering and computational methods.
Biography: Dr. Guanghan Meng, currently a postdoctoral scholar in the Department of Electrical Engineering and Computer Science at the University of California, Berkeley, focuses on advancing high-speed, high-resolution fluorescence, and label-free microscopy technologies for deep tissue imaging in vivo. Having earned her PhD from the same university, her doctoral research spanned the disciplines of Molecular and Cell Biology and Physics, primarily concentrating on enhancing two-photon fluorescence microscopy for mouse brain imaging. At present, she is working on computational label-free imaging with a specific interest in the human eye. Guanghan has been recognized with various best presentation awards at scientific conferences and is a recipient of the Berkeley Center for Innovation in Vision and Optics (CIVO) postdoctoral fellowship. Guanghan is also an invited lecturer at the 17th Edition of the Frontiers in Neurophotonics Summer School in Quebec City, Canada in 2024.
Host: Dr. Justin Haldar, jhaldar@usc.edu
Webcast: https://usc.zoom.us/j/96234786783?pwd=eXF0NnlvNEhPRHllS1NDUEFZWklSdz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/96234786783?pwd=eXF0NnlvNEhPRHllS1NDUEFZWklSdz09
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. -
CSC/CommNetS-MHI Seminar: Chandra Murthy
Mon, Mar 25, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Chandra Murthy, Professor, Department of Electrical Communication Engineering | Indian Institute of Science, Bangalore, India
Talk Title: Sparsity-aware Bayesian Inference and its Applications
Series: CSC/CommNetS-MHI Seminar Series
Abstract: This talk presents a set of tools based on a Bayesian framework to address the general problem of sparse signal recovery, and discusses the challenges associated with them. Bayesian methods offer superior performance compared to convex optimization-based methods and are largely parameter tuning-free. They also have the flexibility necessary to deal with a diverse range of measurement modalities and structured sparsity in signals than hitherto possible. We discuss recent developments towards providing rigorous theoretical guarantees for these methods. Further, we show that, by re-interpreting the Bayesian cost function as a technique to perform covariance matching, one can develop new and ultra-fast Bayesian algorithms for sparse signal recovery. As example applications, we discuss the utility of these algorithms in the context of (a) 5G communications with several case studies such as wideband time-varying channel estimation, low-resolution ADCs, etc, and (b) controllability and observability of linear dynamical systems under sparsity constraints.
Biography: Chandra R. Murthy is a professor in the department of Electrical Communication Engineering at the Indian Institute of Science, Bangalore, India. His research interests are in sparse signal recovery, energy harvesting-based communication, performance analysis, and optimization of 5G and beyond communications. Papers coauthored by him have received Student/Best Paper Awards at the NCC 2014, IEEE ICASSP 2018, IEEE ISIT 2021, IEEE SPAWC 2022, and NCC 2023. He is a senior area editor for the IEEE Transactions on Signal Processing and the IEEE Transactions on Information Theory. He is an elected member of the IEEE SPS SAM Technical Committee. He is an IEEE Fellow (Class of 2023), and a fellow of the Indian National Academy of Engineering (2023).
Host: Dr. Urbashi Mitra, ubli@usc.edu
More Information: 2024.03.25 CSC Seminar - Chandra Murthy.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 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. -
ECE-EP Seminar - Zaijun Chen, Tuesday, March 26th at 2pm in EEB 248
Tue, Mar 26, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Zaijun Chen, University of Southern California
Talk Title: Large-Scale Photonic Circuits for AI Computing and Metrology
Series: ECE-EP Seminar
Abstract: The rapid expansion of artificial intelligence (AI), internet of things (IoT) and 5G/6G mobile networks is creating an urgent need for energy-efficient, scalable computing hardware. Optical computing is emerging to enable new computing paradigms with high optical bandwidth, parallel processing, and low-loss data movement. However, the scalability of existing optical accelerators is limited by the electro-optic conversion efficiency, large photonic device footprints, lack of optical nonlinearity, etc. In this talk, I will present our computing approaches to overcomes these bottlenecks with hyperdimensional multiplexing. Our experimental results have realized large-scale AI processing in models with half a million parameters, a full-system energy efficiency at few femtojoule per operation (fJ/OP) and computing density of 6 TOP/(mm2·s). This computing efficiency and density outperform the state-of-the-art digital processors for the first time, with 100 folds improvement. In the last part, I will cover some interferometry techniques based on laser frequency combs for broadband, high-speed precision sensing and metrology at quantum-limited sensitivity.
Biography: Zaijun Chen is a research assistant professor at the Ming Hsieh Department of Electrical and Computer Engineering at USC. He accomplished his Ph.D. degree (summa cum laude) in Prof. Theodor W. Haensch's (Nobel laureate 2005) group at Max-Planck Institute of Quantum Optics (MPQ) in 2019, and postdoc with Prof. Dirk Englund at MIT. He is a recipient of 2023 SPIE best paper award for Machine learning and Artificial intelligence, 2023 Sony faculty Innovation Award, 2023 Optica Foundation Challenge Award, and leading PI in a 2023 DARPA project (NaPSAC). He is an early career editor of Advanced Photonics.
Host: ECE-Electrophysics
More Information: Zaijun Chen Seminar Announcement.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. -
ECE-S Seminar - Dr. Amrita Roy Chowdhury
Thu, Mar 28, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Amrita Roy Chowdhury, CRA/CCC CIFellow, University of California, San Diego
Talk Title: Data Privacy in the Decentralized Era
Abstract: Data is today generated on smart devices at the edge, shaping a decentralized data ecosystem comprising multiple data owners (clients) and a service provider (server). Clients interact with the server with their personal data for specific services, while the server performs analysis on the joint dataset. However, the sensitive nature of the involved data, coupled with inherent misalignment of incentives between clients and the server, breeds mutual distrust. Consequently, a key question arises: How to facilitate private data analytics within a decentralized data ecosystem, comprising multiple distrusting parties?
My research shows a way forward by designing systems that offer strong and provable privacy guarantees while preserving complete data functionality. I accomplish this by systematically exploring the synergy between cryptography and differential privacy, exposing their rich interconnections in both theory and practice. In this talk, I will focus on two systems, CryptE and EIFFeL, which enable privacy-preserving query analytics and machine learning, respectively.
Biography: Amrita Roy Chowdhury is a CRA/CCC CIFellow at University of California-San Diego, working with Prof. Kamalika Chaudhuri. She graduated with her PhD from University of Wisconsin-Madison and was advised by Prof. Somesh Jha. She completed her Bachelor of Engineering in Computer Science from the Indian Institute of Engineering Science and Technology, Shibpur where she was awarded the President of India Gold Medal. Her work explores the synergy between differential privacy and cryptography through novel algorithms that expose the rich interconnections between the two areas, both in theory and practice. She has been recognized as a Rising Star in EECS in 2020 and 2021, and a Facebook Fellowship finalist, 2021. She has also been selected as a UChicago Rising Star in Data Science, 2021.
Host: Dr. Viktor Prasanna, prasanna@usc.edu
More Info: https://usc.zoom.us/j/94200520726?pwd=U1ZSd3VUVzIrMVI3QUE3d25hVzIvZz09
Webcast: https://usc.zoom.us/j/94200520726?pwd=U1ZSd3VUVzIrMVI3QUE3d25hVzIvZz09More Information: 2024.03.28 ECE-S Seminar - Amrita Roy Chowdhury.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
WebCast Link: https://usc.zoom.us/j/94200520726?pwd=U1ZSd3VUVzIrMVI3QUE3d25hVzIvZz09
Audiences: Everyone Is Invited
Contact: Miki Arlen
Event Link: https://usc.zoom.us/j/94200520726?pwd=U1ZSd3VUVzIrMVI3QUE3d25hVzIvZz09
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-EP Faculty Candidate - Srujan Meesala, Thursday, March 28th at 2pm in EEB 248
Thu, Mar 28, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Srujan Meesala, Caltech
Talk Title: Generating quantum correlations between light and Microwaves with a chip-scale device
Series: ECE-EP Seminar
Abstract: Experimental capabilities in modern quantum science and engineering allow the control of quantum states in a variety of solid-state systems such as superconducting circuits, atomic-scale defect centers, and chip-scale optical and acoustic structures. Controlling interactions between physically different qubits across such platforms is a frontier in the quest to build quantum hardware at scale and to probe the coherence limits of solid-state devices. I will present recent progress on constructing a quantum interconnect between superconducting qubits and optical photons. By integrating specially engineered optical, mechanical, and superconducting microwave components in a chip-scale transducer, we made a photon pair source and used it to generate single optical and microwave photons in entangled pairs. Such devices can be used to connect superconducting qubits in distant cryogenic nodes using room-temperature fiber-optic communication channels. I will discuss open challenges with such transducers and a few near-term routes to address them. I will conclude with results from a different set of experiments where we used nanomechanical devices to control the electronic structure and coherence limits of a spin qubit in an atomic-scale defect center.
Biography: Srujan Meesala is an IQIM Postdoctoral Scholar at Caltech in Oskar Painter's research group. He received his PhD from Harvard where he worked in Marko Loncar's research group.
Host: ECE-EP
More Information: Srujan Meesala Seminar Announcement.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.
