SUNMONTUEWEDTHUFRISAT
Conferences, Lectures, & Seminars
Events for November
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MHI - Physics Joint Seminar Series - Yogesh Joglekar, Friday, Nov. 1st at 2pm in SSL 202
Fri, Nov 01, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yogesh Joglekar, Professor of Physics, Indiana University
Talk Title: Non-Hermitian quantum dynamics: super quantum correlations and breaking the quantum speed limit
Series: MHI Physics Joint Seminar Series
Abstract: Quantum theory provides rules governing much of the microscopic world. It dictates unitarity for isolated systems that when coupled to an environment, undergo decoherence. Among its counter-intuitive consequences are temporal (Leggett-Garg) correlations that exceed the bounds from local, classical theories. In the simplest system - a single qubit - LG correlations are bounded below 1.5 for unitary and decohering dynamics, with excess over 1 indicating "quantumness". Fundamentally, these bounds arise due to limits on the speed at which a quantum state can evolve into an orthogonal one. In recent years, quantum systems undergoing coherent but non-unitary evolution have emerged. They are governed by non-Hermitian, parity-time (PT) symmetric Hamiltonians with exceptional point degeneracies. After a short review of such systems, I will present results for PT-symmetry breaking, temporal correlations that exceed the LG bound of 1.5, and quantum state-transfers that exceed the quantum speed limit in a single trapped ion (arXiv:2304.12413, PRA 108, 032202 (2023)).*Work done with David Allcock group (University of Oregon) and Sourin Das group (IISER, Kolkata).
Biography: Yogesh Joglekar is an experimentally-minded theoretical physicist. After initial training and some time in condensed matter physics, he started moonlighting in the area of PT symmetry with the help of high-school students. They have helped him see how PT symmetry emerges in disparate platforms such as a single LC circuit or a vibrating tank of water. His primary area of research is open classical and quantum systems. He usually has far more questions than answers.
Host: Mercedeh Khajavikhan & Demetri Christodoulides
More Information: Yogesh Joglekar Flyer.pdf
Location: Seaver Science Library (SSL) - 202
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. -
MHI ISSS Seminar - Dr. Xuan "Silvia" Zhang, Friday, Nov. 1st at 2pm in EEB 132
Fri, Nov 01, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Xuan "Silvia" Zhang, Associate Professor, Northeastern University
Talk Title: Foundational AI Framework for Automated Synthesis of Analog Integrated Circuits
Series: Integrated Systems
Abstract: Artificial intelligence (AI) and machine learning (ML) technologies have profoundly reshaped our world, manifesting their prowess in perception, knowledge generation, and decision making. In a similar fashion, AI/ML will undoubtedly be a disruptive force to revolutionize the IC design process. Due to their labor-intensive nature, analog and radio frequency (RF) circuits take a disproportionate share in design cost and could therefore benefit tremendously from automation. In this talk, I will present the recent work from my lab towards the goal of building a foundational AI framework for analog IC design automation. I will first introduce our deep learning-based method to automate parameter optimization in analog/RF circuits with a unique domain knowledge-infused approach. This method is then expanded to provide robustness and sampling efficiency against design variations caused by process, voltage, and temperature (PVT). Next, I will briefly talk about CktGNN, our hierarchical graph neural network-based approach to synthesizing circuit topology and the first of its kind that leads to the construction of an open-sourced analog circuit dataset (https://github.com/zehao-dong/CktGNN). Finally, I will conclude the talk with a vision statement and roadmap for future AI-driven design automation.
Biography: Dr. Xuan Zhang is an Associate Professor in the Electrical and Computer Engineering Department at Northeastern University. She works across the fields of integrated circuits/VLSI design, computer architecture, and electronic design automation. Dr. Zhang is an IEEE Women in Engineering (WiE) Distinguished Lecturer for 2023-2024, IEEE Circuits and Systems Society (CAS) Distinguished Lecturer for 2022-2023, and the recipient of NSF CAREER Award in 2020. She currently serves as the Associate Editor-in-Chief at IEEE Transactions on Circuits and Systems I (TCAS-I) and Associate Editor at IEEE Transactions on Computer-Aided Designs (TCAD). Her work has received numerous best paper awards and nominations including ISLPED Best Paper Award in 2022, AsianHOST Best Paper Award in 2020, DATE Best Paper Award in 2019, and Best Paper nominations at DAC 2022, ASP-DAC 2021, MLCAD 2020, DATE 2019, and DAC 2017.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Info: https://usc.zoom.us/j/92564669688
More Information: MHI_Seminar_Flyer_Zhang_Nov1_2024.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/92564669688
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: Negar Mehr
Mon, Nov 04, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Negar Mehr, Associate Professor, Department of Mechanical Engineering | UC Berkeley
Talk Title: Interactive Autonomy: Game-Theoretic Learning and Control for Multi-Agent Interactions
Series: CSC/CommNetS-MHI Seminar Series
Abstract: To transform our lives, autonomous systems need to interact with other agents in complex shared environments. For example, autonomous cars need to interact with pedestrians, human-driven cars, and other autonomous cars. Autonomous delivery drones need to navigate in the aerial space shared by other drones, or mobile robots in a warehouse must navigate in the factory space shared by robots. The multi-agent nature of such application domains requires us to develop a systematic methodology for enabling efficient interactions of autonomous systems across various applications. In this talk, I will first focus on game-theoretic planning and control for robots. To reach intelligent robotic interactions, robots must account for the dependence of agents' decisions upon one another. I will discuss how game-theoretic planning and control enables robots to be cognizant of their influence on other agents. I will present our recent results on leveraging the structure that is inherent in interactions to develop efficient motion planning algorithms which are suitable for real-time operation on robot hardware. In the second part of the talk, I will focus on how robots can learn and infer the intentions of their surrounding agents to account for agents' preferences and objectives. Currently, robots can infer the objectives of isolated agents within the formalism of inverse reinforcement learning; however, in multi-agent domains, agents are not isolated, and the decisions of all agents are mutually coupled. I will discuss a mathematical theory and numerical algorithms for inferring these interrelated preferences from observations of agents’ interactions.
Biography: Negar Mehr is an assistant professor in the Department of Mechanical Engineering at the University of California, Berkeley. Before that, she was an assistant professor of Aerospace Engineering at the University of Illinois Urbana-Champaign. She was a postdoctoral scholar at Stanford Aeronautics and Astronautics department from 2019 to 2020. She received her Ph.D. in Mechanical Engineering from UC Berkeley in 2019 and her B.Sc. in Mechanical Engineering from Sharif University of Technology, Tehran, Iran, in 2013. She is a recipient of the NSF CAREER Award. She was awarded the IEEE Intelligent Transportation Systems best Ph.D. dissertation award in 2020.
Host: Dr. Lars Lindemann, llindema@usc.edu
More Information: 2024.11.04 CSC Seminar - Negar Mehr.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. -
Seminar: Responsible and User-Controllable Artificial Intelligence
Thu, Nov 07, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: PrzemysÅaw (Przemek) Kazienko, Full Professor, Wroclaw University of Science and Technology
Talk Title: Responsible and User-Controllable Artificial Intelligence
Abstract: AI has a major positive impact on the economy and their users, providing them with a better experience, increased satisfaction, saving time and even expanding their horizons. Here, however, we focus on the potential negative impact of AI on humans, such as reinforcement of information bubbles, addiction, excessive use, reduced concentration, creativity and curiosity, enhanced consumerism, weakened autonomy to make free choices, interpersonal communication, and human relationships. We indicate what human features cause our increased susceptibility to the influence of RSs and what manipulation mechanisms they can potentially and even unintentionally exploit. We show some use cases in which the goals pursued by business may conflict with the goals of their users. it is also observable that AI-based approaches are evolving from decision-support to decision-making systems. Consequently, we propose the concept of Responsible AI, which respects the goals and beliefs of their users in addition to business goals. Another solution are user-controllable AI systems that may be incorporated in recently investigated Large Language Models (LLMs).
Biography: PrzemysÅaw (Przemek) Kazienko, Ph.D. is a full professor and leader of three research groups: AI and human values, HumaNLP, and Emognition at Wroclaw Tech (Wroclaw University of Science and Technology), Poland. Research carried out by HumaNLP refer to human aspects of NLP, including subjectivity, personalization, context-based NLP, hate speech, emotions, user-controlled LLMs, etc. The Emognition group focuses on emotion recognition from physiological signals. He has authored over 300 research papers, including 50 in journals with impact factor related to personalization and subjective tasks in NLP, Large Language Models (LLMs), self-learning LLMs, ethics and responsibility in AI, affective computing and emotion recognition, social/complex network analysis, deep machine learning, sentiment analysis, collaborative systems, recommender systems, information retrieval, data security, and many others. He gave 30+ keynote/invited talks to international audiences and served as a co-chair of over 20 international scientific conferences and workshops. Also, he initialized and led over 50 projects, including large European ones, chiefly in cooperation with companies with total local budget over €10M. He is an IEEE Senior Member, a member of the Polish Committee for Standardization in AI, and the Ethics Committee for the LLM development.
Host: Shrikanth Narayanan, shri@usc.edu | Kleanthis Avramidis, avramidi@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
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. -
MHI - Physics Joint Seminar Series - Andrew Vlasic, Friday, November 8th at 2pm in SSL 202
Fri, Nov 08, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Andrew Vlasic, PhD, Fundamental Research Lead Quantum Institute, Deloitte Consulting LLP
Talk Title: A Categorical Perspective of Encoding Real-World Data in Quantum Computers
Series: MHI Physics Joint Seminar Series
Abstract: The question of how to encode real-world data in quantum computer has a tremendous amount of importance in the quantum machine learning (QML) community. There are a few proposed metrics to quantify the efficacy of quantum feature maps with the most used criteria being 'expressibility' [1] and 'expressivity' [2]. However, as noted by the authors, there are shortcomings with these two techniques. Our empirical analysis of using the standard schemes of angle encoding, instantaneous quantum polynomial encoding (IQP), and amplitude encoding to perform machine learning tasks on different dataset reveals new insights into our metrics need to be considered when choosing a particular quantum encoding technique [3,4]. Using the perspective of category theory, we propose that quantum encoding techniques should preserve "structures" of classical data. Based on this insight, we proposed technique on comparing the entropy of a point-cloud against the analytic extension of von Neuman entropy applied to quantum operators [5], directly addressing one area of structure. [5]
Biography: Andrew earned a PhD in mathematics from the University of Illinois at Urbana-Champaign and has extensive experience in fundamental and applied research in the academia, DoD, and industry. Andrew has been a postdoc at Queen's University in Ontario, an acting funding officer at the Army Research Office, a senior data scientist at Bank of America, and is currently the fundamental research lead in the Quantum Research Group at Deloitte Consulting. If interested, view Andrew's portfolio on Google Scholar.
Host: Quntao Zhuang, Eli Levinson-Falk, Jonathan Habif, Daniel Lidar, Kelly Luo, Todd Brun, Tony Levi, Stephan Haas
More Information: Andrew Vlasic-Nov 8.pdf
Location: Seaver Science Library (SSL) - 202
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: Scaling Energy Efficiency of Mobile XR using Hardware/Software Codesign
Wed, Nov 13, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Scott Mahlke, Claude E. Shannon Professor of Engineering Sciences, EECS Department, University of Michigan
Talk Title: Scaling Energy Efficiency of Mobile XR using Hardware/Software Codesign
Abstract: Extended Reality (XR) is an important frontier in technology that combines virtual reality (VR) wherein users are immersed in a virtual world and augmented reality (AR) wherein virtual content is overlayed on the real world. Mobile XR focuses on the realization of AR/VR technologies in the context of portable headsets and other wearable technology, which severely restricts power dissipation and weight requirements for the onboard computing and sensory systems. The constraints preclude direct adoption of desktop/server solutions, instead require efficiency scaling by one to two orders of magnitude. To solve this problem, this work focuses on specialization of both the XR software stack and the underlying hardware. On the software side, simultaneous localization and mapping (SLAM) algorithms that track an agent's movements through an unknown environment are too computationally expensive to be applied in a brute-force manner. Instead, we develop SlimSLAM, a domain-specific runtime scheduler, which adapts SLAM algorithmic parameters based on input needs, minimizing computation while maintaining accuracy. SlimSLAM exploits information from a SLAM algorithm's state to detect and adjust over-provisioned parameters in real-time. SlimSLAM outperforms other adaptive approaches by an average of 2.3x with iso-accuracy. On the hardware side, we focus on in-memory computing that enables data parallel computation to occur in-place in an on-chip memory system, thereby eliminating data movement into and out of the processor and achieving high levels of data parallel computation. Specifically, we develop a duality cache architecture that flexibly transforms caches on demand into programmable in-memory accelerators that can execute arbitrary data-parallel programs commonly used in AR/VR. The cache accelerator outperforms a server-class GPU by 3.6x and CPU by 72.6x with only a 3.5% area cost across a range of data parallel applications.
Biography: Scott Mahlke is the Claude E. Shannon Professor of Engineering Sciences in the EECS Department at the University of Michigan. He leads the Compilers Creating Custom Processors research group that focuses on hardware/software technologies for scaling performance, energy efficiency, and cost of computing systems through specialization of the hardware down to the software it runs. Mahlke has won numerous awards including the 2022 IEEE B. Ramakrishna Rau Award, and is a Fellow of the IEEE and ACM.
Host: Drs. Murali Annavaram (annavara@usc.edu) and Viktor Prasanna (prasanna@usc.edu)
Webcast: https://usc.zoom.us/j/97853375830?pwd=3oQpMoZJyA9SVdgaGf40va9ObZJl4r.1 (USC NetID log in required)Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/97853375830?pwd=3oQpMoZJyA9SVdgaGf40va9ObZJl4r.1 (USC NetID log in required)
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. -
Seminar - Raghuveer (Raghu) M. Rao, Ph.D., Wednesday, November 13th at 1:30pm in EEB 248
Wed, Nov 13, 2024 @ 01:30 PM - 02:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Raghuveer (Raghu) M. Rao, Ph.D., Chief, Intelligent Perception Branch DEVCOM Army Research Laboratory FCDD-RLA-IE
Talk Title: The Army Research Laboratory: Some Current Interests and Opportunities
Abstract: The DEVCOM Army Research Laboratory (ARL) is the primary executor of basic and multiple technical competencies, ARL welcomes collaboration with external partners to further its mission of operationalizing science. The talk will provide an overview of ARL followed by a description of select opportunities and current research efforts.
Biography: Dr. Raghuveer Rao is the Chief of the Intelligent Perception Branch at the DEVCOM Army Research Laboratory (ARL) in Adelphi, Maryland, where he oversees R&D in multimodal computer vision and applications, mainly to autonomous systems and scene understanding. Prior to joining ARL, Dr. Rao was a professor of electrical engineering and imaging science at the Rochester Institute of Technology. He has held visiting appointments with the Indian Institute of Science, the US Air Force Research Laboratory, the US Naval Surface Warfare Center, and Princeton University. He has made multiple research contributions to signal & image processing, communication, and computer vision, and serves as an ABET program evaluator for electrical engineering. Dr. Rao is a life fellow of IEEE and an elected fellow of SPIE.
Host: Richard Leahy
More Information: Raghuveer Rao 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. -
ISSS - Dr. Matthew Johnston, Friday, Nov. 15th at 2pm in EEB 132
Fri, Nov 15, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Matthew Johnston, Accociate Professor, Oregon State University
Talk Title: Worth the Squeeze: Power and Packaging Approaches for Biosensors and Bioelectronics
Series: ISSS
Abstract: The integration of new materials, sensing modalities, and intelligence in CMOS-based sensor platforms will enable a broad range of miniaturized diagnostic, therapeutic, and monitoring systems. In addition, such devices will require new approaches for long-term powering and operation that avoid battery replacement/recharging. Achieving these goals will require continued chip-level and system-level advancements, as well as new integration and packaging approaches. In this talk, I will focus on two challenges: 1) Thermoelectric energy harvesting applied to wearable devices, including true battery-less, bioelectronic sensors powered by body heat, as well as other ultra-low-power sensors for chemistry and biology; and, 2) emerging Lab-on-CMOS platforms enabled by IC-based sensors and advanced packaging techniques that combine electronics and microfluidics in a single substrate for biosensing applications.
Biography: Dr. Matthew Johnston received the B.S. degree in electrical engineering from the California Institute of Technology, and the M.S. and Ph.D. degrees in electrical engineering from Columbia University. He was a Co-Founder and Manager of Research with Helixis, a Caltech-based spinout developing instrumentation for real-time PCR, from 2007 to its acquisition by Illumina in 2010. Dr. Johnston joined Oregon State University in 2014, where he is currently an Associate Professor with the School of Electrical Engineering and Computer Science. His research interests include the integration of sensors and transducers with silicon CMOS integrated circuits, lab-on-CMOS platforms, ultra-low-power sensors, stretchable circuits, and bio-energy harvesting. Dr. Johnston was the recipient of the 2020 Semiconductor Research Corporation (SRC) Young Faculty Award. He is currently an Associate Editor of the IEEE Transactions on Circuits and Systems II, and he has also served as an Associate Editor for the IEEE Open Journal of Circuits and Systems and the IEEE Transactions on Biomedical Circuits and Systems.
Host: Hossein Hashemi, Mike Chen and Constantine Sideris
More Info: https://usc.zoom.us/j/96947583326
More Information: MHI_Seminar_Flyer_Johnston_Nov15_2024.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/96947583326
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: Cristian-Ioan Vasile
Mon, Nov 18, 2024 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Cristian-Ioan Vasile, Assistant Professor of Mechanical Engineering and Mechanics Department, Lehigh University
Talk Title: Robust and Relaxed Temporal Logic Planning for Robot Systems
Series: CSC/CommNetS-MHI Seminar Series
Abstract: Robots are deployed in an increasing number of environments and applications, and tasked with ever complex missions with temporal, logical, and timing constraints. Practical and safety considerations impose that solutions are robust to perturbations and noise, and able to handle infeasible scenarios as best as possible. A planner for a self-driving car may not just return without a solution, it still needs to steer the car as best possible. A multi-agent team should not abandon a mission if one robot fails during deployment. A delivery robot should find alternatives and swap unavailable groceries based on the user's preferences. In this talk, we present and clarify the robustness and relaxation of temporal logic specifications. We present automata- and mixed integer linear programming (MILP) methods to address them in various mission settings for single- and multi-robot systems. We use automata to capture multiple relaxation semantics and provide a model for abstraction of rich user-preferences. We achieve scalability with respect to number of agents and specification complexity in multi-robot missions via MILP encodings while ensuring robust satisfaction in case of feasibility and partial satisfaction otherwise. We apply these techniques to coordinate heterogeneous teams of robots, robot swarms, and modular aerial robotic systems.
Biography: Cristian-Ioan Vasile is an assistant professor in the Mechanical Engineering and Mechanics department, and Computer Science and Engineering (courtesy) at Lehigh University. He leads the Explainable Robotics Lab (ERL) as part of the Autonomous and Intelligent Robotics Lab (AIRLab) at Lehigh University. Previously, he was a postdoctoral associate in the Laboratory for Information and Decision Systems (LIDS), and the Computer Science and Artificial Intelligence Laboratory (CSAIL) at Massachusetts Institute of Technology (MIT). He obtained his PhD in 2016 from the Division of Systems Engineering at Boston University, where he worked in the Hybrid and Networked Systems (HyNeSs) Group of the BU Robotics Laboratory. He obtained a BS degree in Computer Science in 2009, a MEng in Intelligent Control Systems in 2011, and a second PhD in Systems Engineering in 2015, all from the Faculty of Automatic Control and Computers, Politehnica University of Bucharest. His research goal is to enable robot autonomy via scalable automated synthesis of explainable plans using motion planning and machine learning. His work employs techniques from sampling-based motion planning, formal methods, automata and graph theory, optimization, control theory, and machine learning.a Professor in the Department of Aerospace and Mechanical Engineering and the Department of Physics and Astronomy at the University of Southern California, where she also holds the named chair “Z. H. Kaprielian Fellow in Engineering”". Kanso earned PhD and Masters degrees in Mechanical Engineering (1999, 2003) and Applied Mathematics (2002) from UC Berkeley, followed by a post-doctoral training at Caltech (2003-2005). She served as a Program Director at the National Science Foundation (2021-2023). Kanso's research focuses on studying fundamental problems in the biophysics of cellular and subcellular processes and the physics of animal behavior, both at the individual and collective levels. A central theme in her work is the role of the mechanical environment, specifically the fluid medium and fluid-structure interactions, in shaping and driving biological functions.
Host: Dr. Lars Lindemann, llindema@usc.edu
More Information: 2024.11.18 CSC Seminar - Cristian-Ioan Vasile.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
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 Seminar: Advanced Algorithms for Physical Design Automation Targeting 2D and 3D ICs
Thu, Nov 21, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Sung Kyu Lim, Motorola Solutions Foundation Professor, Georgia Institute of Technology
Talk Title: Advanced Algorithms for Physical Design Automation Targeting 2D and 3D ICs
Abstract: In this talk, we present advanced algorithms, both conventional and AI-driven, developed to automate the manufacturing-ready layout generation of high-performance 2D and 3D integrated circuits. We utilize traditional algorithms such as graph search, mathematical programming, stochastic optimization, and dynamic programming to automate and refine the physical layouts of 2D and 3D ICs, focusing on power, performance, area (PPA), and electro-thermo-mechanical reliability. Our AI-driven methodologies include the use of generative AI, reinforcement learning enhanced by active learning, graph neural networks, and transformers. We demonstrate how these cutting-edge algorithms address complex challenges in physical design automation for 2D and 3D ICs.
Biography: Prof. Sung Kyu Lim earned his Ph.D. in Computer Science from UCLA in 2000. Since 2001, he has been a faculty member at the School of Electrical and Computer Engineering at the Georgia Institute of Technology. His research explores the architecture, design, and electronic design automation (EDA) of 2.5D and 3D integrated circuits, contributing to over 400 published papers. He received the Best Paper Awards from the IEEE Transactions on CAD in 2022 and the ACM Design Automation Conference in 2023. He is an IEEE Fellow and served as a program manager at DARPA's Microsystems Technology Office from 2022 to 2024.
Host: Dr. Peter Beerel, pabeerel@usc.edu
Webcast: https://usc.zoom.us/j/94963582840?pwd=Sf9z2kOLhLbBUl5Z7FBeOiGbbJI0Tx.1 (USC NetID login required to join seminar)Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
WebCast Link: https://usc.zoom.us/j/94963582840?pwd=Sf9z2kOLhLbBUl5Z7FBeOiGbbJI0Tx.1 (USC NetID login required to join seminar)
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: Daniel Neuhold
Thu, Nov 21, 2024 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Daniel Neuhold, CEO, LoconIQ R&D | Klagenfurt, Austria
Talk Title: Entrepreneurial Road Towards a Robust 3D Tracking Solution with UWB
Abstract: As industries strive to enhance quality control and to ensure thorough traceability, the demand for sophisticated 3D tracking solutions drastically increased over the last years. LoconIQ stands out with a robust solution to empower new applications with high-precision and real-time 3D tracking. The company’s main innovations are a time-of-flight based ranging algorithm that allows for sub-centimeter distances measurements and a proprietary sensor fusion that integrates ultra-wideband (UWB) data and auxiliary sensors. The solution utilizes UWB signal characteristics and noise/outlier classification models of sensors to facilitate a weighted unscented Kalman Filter (UKF) approach for the localization. With these innovations, LoconIQ delivers a robust 3D tracking solution at a centimeter level accuracy with latencies of only a few ms. The talk will provide insights into the technology and provide real-life examples, outlining step-by-step improvements from a simple Kalman Filter based localization approach to the company’s current UKF with weighting and an advanced sensor fusion. The talk will, furthermore, provide some insights into the applications for such a technology and address the entrepreneurial journey from a university spin-off to a million-dollar company.
Biography: The talk will be given by Daniel Neuhold, who embarked on his Ph.D. journey focusing on wireless communication for aeronautical applications. More particularly, working with Airbus in a project to eliminates wires from commercial airplanes and Ariane carrier rockets. Aiming to substitute data cables with wireless communication to drastically reduce the aircraft’s weight. Daniel then pivoted to the utilization of the used ultra-wide band (UWB) communication to facilitate real-time and high-precision wireless ranging. With this research topic, Daniel performed a seven-months long research stay at the University of Southern California in 2018. After which, he pursued his entrepreneurial path and patented algorithms for precise and low-latency ranging. These efforts culminated in a first prototype solution, which demonstrated the capabilities of the developed technology to raise millions in funding, leading to the incorporate and scale-up of the company. LoconIQ now enables robust and high-precision 3D tracking with a small and battery-powered sensor device, that comes as a turnkey solution right out-of-the-box.
Host: Dr. Andreas F. Molisch
More Information: 2024.11.21 ECE Seminar - Daniel Neuhold.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 248
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. -
Semiconductors & Microelectronics Technology Seminar - Azadeh Ansari, Thursday, Nov. 21st at 2:15pm in EEB 248
Thu, Nov 21, 2024 @ 02:15 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Azadeh Ansari, Georgia Institute of Technology
Talk Title: MEMS for Next Generation Radio Frequency and Biomedical Applications
Series: Semiconductors & Microelectronics Technology
Abstract: With the ever-increasing number of wireless devices, the frequency spectrum is getting more crowded and the need for signal filtering at emerging wireless bands is ever more critical. Recent advances in thickness downscaling of piezoelectric transducers have opened up new horizons for resonator operation at the millimeter wave frequencies; and enabled the use of nonlinearities in nanomechanical devices. I will present my group's work on developing novel Aluminum Scandium Nitride acoustic resonators, as well as nanomechanical frequency combs. In the second part of the talk, I will present my group's work on the fabrication, actuation and control of micro robotics systems. The recent advances in the nanofabrication and 3D printing at the nanoscale offer robotic solutions at exceedingly small scales that are instrumental for biomedical applications.
Biography: Azadeh Ansari is an Associate Professor in the School of Electrical and Computer Engineering at Georgia Tech. Her research focuses on resonant MEMS, acoustics, micromachined integrated sensors, and micro-robotics. She earned the M.S and Ph.D. degrees in Electrical Engineering from University of Michigan, Ann Arbor in 2013 and 2016. Prior to joining Georgia Tech, she was a postdoctoral scholar in the Physics Department at Caltech. She is the recipient of the 2023 IEEE Transducers Early Career Award, 2021 Roger Webb Outstanding Junior Faculty Award from Georgia Tech, 2020 NSF CAREER award, 2017 ProQuest Distinguished Dissertation Award from the University of Michigan, as well as 2016 University of Michigan Richard and Eleanor Towner Prize for outstanding Ph.D. research.
Host: J Yang, C Zhou, S Cronin, W Wu
More Information: Azadeh Ansari 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. -
Tom Goldstein- AI Safety Issues in Generative Models: Memorization and Detection
Fri, Nov 22, 2024 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Tom Goldstein, Volpi-Cupal Professor of Computer Science at the University of Maryland, and director of the Maryland Center for Machine Learning
Talk Title: AI Safety Issues in Generative Models: Memorization and Detection
Abstract: Machine learning systems are built using large troves of training data that may contain private or copyrighted content. In this talk, I'll survey a number of data memorization issues that arise when sensitive data is used. I'll begin by talking about data privacy issues that arise when using generative models. These models are often created using a training objective that explicitly promotes their ability to regenerate their training data. I'll discuss how diffusion models can reproduce their training data, leading to potential legal issues. I'll also discuss methods for detecting large language model content and explore ways in which the ability to reproduce training data complicates our ability to detect LLM-produced text.
Biography: Tom Goldstein is the Volpi-Cupal Professor of Computer Science at the University of Maryland, and director of the Maryland Center for Machine Learning. His research lies at the intersection of machine learning and optimization, and targets applications in computer vision and signal processing. Professor Goldstein has been the recipient of several awards, including SIAM’s DiPrima Prize, a DARPA Young Faculty Award, a JP Morgan Faculty award, an Amazon Research Award, and a Sloan Fellowship.
Host: Mahdi Soltanolkotbi
More Information: ECE AIF4S Seminar Series Announcement.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) -
Audiences: Everyone Is Invited
Contact: Ana Hernandez
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. -
ISSS - Dr. Farhana Sheikh, Friday, Nov. 22nd at 2pm in EEB 132
Fri, Nov 22, 2024 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Farhana Sheikh, Principal Engineer, Intel
Talk Title: FPGA-Chiplet Architectures and Circuits for 2.5D/3D 6G Intelligent Radios
Series: ISSS
Abstract: The number of connected devices is expected to reach 500 billion by 2030, which is 59-times larger than the expected world population. Objects will become the dominant users of next-generation communications and sensing at untethered, wireline-like broadband performance, bandwidths, and throughputs. This sub-terahertz 6G communication and sensing will integrate security and intelligence. It will enable a 10x to 100x increase in peak data rates. FPGAs are well positioned to enable intelligent radios for 6G when coupled with high-performance chiplets incorporating RF circuits, data converters, and digital baseband circuits incorporating machine learning and security. This talk presents use of 2.5D and 3D heterogeneous integration of FPGAs with chiplets, leveraging Intel's EMIB/Foveros technologies with focus on one emerging application driver: FPGA-based 6G sub-THz intelligent wireless systems. Nano-, micro-, and macro-3D heterogeneous integration is summarized, and previous research in 2.5D chiplet integration with FPGAs is leveraged to forge a path towards new 3D-FPGA based 6G platforms. Challenges in antenna, packaging, power delivery, system architecture design, thermals, and integrated design methodologies/tools are briefly outlined. Opportunities to standardize die-to-die interfaces for modular integration of internal and external circuit IPs are also discussed.
Biography: Farhana Sheikh is a Principal Engineer and Research Manager at Altera (Intel), where she leads technology pathfinding and the Advanced Chiplet Technologies Team. With over 15 years of experience in ASIC and DSP/communications research, she specializes in 2D/3D chiplet and FPGA integration for wireless and sensing applications. She initiated the AIB-3D open-source specification, published over 50 papers, and filed 22 patents. She has received multiple IEEE ISSCC Outstanding Paper Awards (2020, 2019, 2012) and serves as IEEE SSCS Distinguished Lecturer (2023-2024). Dr. Sheikh earned her M.Sc. and Ph.D. from UC Berkeley in 1996 and 2008 respectively, and actively promotes women in circuits through IEEE SSCS.
Host: MHI - ISSS, Hashemi, Chen and Sideris
More Info: https://usc.zoom.us/j/94125605508
More Information: MHI_Seminar_Flyer_Farhana_Sheikh_Nov22_2024.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Marilyn Poplawski
Event Link: https://usc.zoom.us/j/94125605508
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.
