Conferences, Lectures, & Seminars
Events for February
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Feb 03, 2021 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ye Zhao, The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology
Talk Title: Robust Planning and Decision-making for Safe Legged Locomotion
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Our society has witnessed the advancement of legged locomotion autonomy and mobility, but they have not become prevalent as autonomous driving and wheeled robot mobility. One crux is the lack of robust, scalable, and real-time planning and decision-making algorithms for these highly complex legged machines with contact-rich behaviors. To address this issue, symbolic planning, logic-based formal method, and distributed optimization are promising yet underexplored for locomotion problems. This talk will present three unique perspectives to quantify uncertainties and reason about robustness in task and motion planning algorithms for highly dynamic legged locomotion. I will start with temporal-logic-based reactive motion planning for whole-body dynamic locomotion in constrained environments and propose robust metrics to enable resilient contact decisions. Following this direction, I will present our recent task planning framework with belief tracking for safe locomotion in partially observable environments. In the end, I will talk about contact-aware trajectory optimization methods that parameterize terrain uncertainties for robust cost design to enhance risk-sensitive locomotion performance.
Biography: Ye Zhao is an Assistant Professor at The George W. Woodruff School of Mechanical Engineering, Georgia Institute of Technology. He works on planning and decision-making algorithms of highly dynamic and contact-rich robots. He is especially interested in challenging locomotion and manipulation problems with formal guarantees on robustness and autonomy. He was a Postdoctoral Fellow at Harvard University, and received his Ph.D. degree in Mechanical Engineering from The University of Texas at Austin in 2016. At Georgia Tech, he leads the Laboratory for Intelligent Decision and Autonomous Robots (LIDAR) (http://lab-idar.gatech.edu/). He is also affiliated with the Institute for Robotics and Intelligent Machines (IRIM) and the Decision and Control Laboratory (DCL).
Host: Feifei Qian and Pierluigi Nuzzo
Webcast: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiALocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA
Audiences: Everyone Is Invited
Contact: Talyia White
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. -
Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Feb 10, 2021 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ricardo G. Sanfelice, Computer Engineering, University of California at Santa Cruz
Talk Title: Hybrid Feedback Control with Robotic Applications
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Hybrid systems have become prevalent when describing complex systems that mix continuous and impulsive dynamics. For instance, in cyber-physical systems, continuous dynamics usually govern the evolution of the physical variables in the system, while impulsive (or discrete) behavior is typically due to events in the control algorithm or in the communication network. A mathematical framework comprised of differential and difference equations/inclusions with constraints will be introduced to model, analyze, and design such systems. An appropriate notion of solution and basic properties on the system data will be introduced. Tools for the analysis and synthesis of robust hybrid feedback control systems will be presented. The talk will provide an overview of tools guaranteeing asymptotic stability, invariance, safety, robustness, and the satisfaction of temporal logic specifications. Recent development on hybrid model predictive control and relevant robotic applications will be highlighted.
Biography: Ricardo G. Sanfelice is Professor of Electrical and Computer Engineering, University of California at Santa Cruz, CA, USA. He received his M.S. and Ph.D. degrees in 2004 and 2007, respectively, from the University of California, Santa Barbara. During 2007 and 2008, he was a Postdoctoral Associate at the Laboratory for Information and Decision Systems at the Massachusetts Institute of Technology and visited the Centre Automatique et Systemes at the Ecole de Mines de Paris for four months. Prof. Sanfelice is the recipient of the 2013 SIAM Control and Systems Theory Prize, the National Science Foundation CAREER award, the Air Force Young Investigator Research Award, the 2010 IEEE Control Systems Magazine Outstanding Paper Award, and the 2012 STAR Higher Education Award for his contributions to STEM education. He is Associate Editor for Automatica and has served as Chair of the Hybrid Systems Technical Committee from the IEEE Control Systems Society. He is Director of the Cyber-Physical Systems Research Center at UCSC. His research interests are in modeling, stability, robust control, observer design, and simulation of nonlinear and hybrid systems with applications to robotics, power systems, aerospace, and biology.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiALocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA
Audiences: Everyone Is Invited
Contact: Talyia White
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. -
Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Feb 17, 2021 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mallik Tatipamula, CTO of Ericsson Group Function Technologies and Architectures
Talk Title: Harnessing the Power of 5G, Edge Computing & AI/ML for Industrial IoT Applications
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: This session begins with an update on 5G technology, standards and global network rollouts. Then it will present future technology evolution and research challenges at the intersection of "5G, edge computing and AI/ML" for realizing a distributed multi-cloud to address Industrial IoT applications. It will conclude with a discussion on research opportunities over the next decade for 5G as well as early 6G research areas.
Biography: As a CTO of Ericsson Group Function Technologies and Architectures, Dr. Mallik Tatipamula leads the evolution of Ericsson's technology, and champions the company's next phase of innovation and growth driven by 5G Distributed Multi-Cloud Deployments. He also leads O-RAN and early 6G technology efforts. Prior to Ericsson, he held several leadership positions at F5 networks, Juniper networks, Cisco, Motorola, Nortel, and the Indian Institute of Technology (Chennai). During 30 years of professional career, he has played a unique leadership role in delivering industry's most powerful innovations, standards contributions, products/solutions, and early real-world deployments, working with telecom operators as well as academia, to accelerate the architectural transitions in the telecom industry. He has identified strategic opportunities and implemented programs with a multi-billion dollars impact, launching over 50 products/solutions that are deployed in global telecom networks to enable major network transitions from 2G to 5G. Since 2011, he has been a visiting professor at King's College London, where world's first 5G network was demonstrated together with Ericsson and Vodafone. He is a Fellow of the Canadian Academy of Engineering (CAE) and The Institution of Engineering and Technology (IET, UK). He received several awards, including "Univ. of California, Berkeley's Garwood Center for Corporate Innovation Award," the "CTO/Technologist of the year" award by World Communications Awards, the "IEEE Communications Society Distinguished Industry Leader Award," the "IET Achievement medal in telecommunications", and and the "CTO of the year from Silicon Valley Business Journal (2019-2020)".
He has a Ph.D. in Information and Communications Engineering from the Univ. of Tokyo, Japan, a Master's degree in Communication Systems from Indian Institute of Technology, Chennai, India, and a Bachelor's degree in Electronics and Communications Engineering from NIT, Warangal, India. He mentored over 100 undergrad/graduate students, delivered 400+ keynote/invited talks, co-authored 2 books, 100+ publications/patents, and served on 40+ IEEE conferences committees. He has been involved in developing industry-academia partnerships in Canada, US, UK and India and serves on several advisory boards including Global Semiconductor Alliance, Gartner/Evanta CIO Council, London Digital Twin Research Center, and the Center for Growth Markets at Univ. of California, Berkeley.
Host: Bhaskar Krishnamachari and Pierluigi Nuzzo
Location: Online
Audiences: Everyone Is Invited
Contact: Talyia White
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. -
Recyclable, Scalable, Self-cleaning Cellulose-fiber-based Composites for Passive Daytime Radiative Cooling
Tue, Feb 23, 2021 @ 01:00 PM - 02:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yi Zheng, Professor at Northwestern University
Talk Title: Recyclable, Scalable, Self-cleaning Cellulose-fiber-based Composites for Passive Daytime Radiative Cooling
Series: Photonics Seminar
Host: Electrical and Computer Engineering: Wade Hsu, Mercedeh Khajavikhan, Michelle Povinelli, Constantine Sideris, and Wei Wu
More Info: https://usc.zoom.us/meeting/register/tJEqcuuprD4oE9ZVf6lwC_KIX9-3i55nMAMV
Audiences: Everyone Is Invited
Contact: Jennifer Ramos/Electrophysics
Event Link: https://usc.zoom.us/meeting/register/tJEqcuuprD4oE9ZVf6lwC_KIX9-3i55nMAMV
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. -
Medical Imaging Seminar
Wed, Feb 24, 2021 @ 09:00 AM - 10:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Yannick Bliesener, Electrical and Computer Engineering, University of Southern California
Talk Title: Measurement Uncertainty in DCE-MRI of Brain Tumors
Series: Medical Imaging Seminar Series
Abstract: Abnormal vasculature is a common symptom of many diseases of the brain such as Alzheimer's disease, multiple sclerosis, and brain cancer. Dynamic Contrast Enhanced Magnetic Resonance Imaging (DCE-MRI) enables assessment of relevant neurovascular parameters by monitoring time-varying enhancement patterns in tissue after intra-venous contrast agent injection. The method has the potential to provide powerful biomarkers for brain tumors, including vascularity, blood brain barrier leakage, tumor progression vs regression, and probability of survival prediction. However, it is challenged by low precision. This talk will discuss my attempts to quantify and improve the accuracy and precision of high-resolution whole brain DCE-MRI of brain tumors.
Biography: Yannick Bliesener is a Ph.D. candidate in the Magnetic Resonance Engineering Laboratory at the University of Southern California. He obtained his B.Sc. and M.Sc. degree in Electrical Engineering at Hamburg University of Technology in Germany, before joining the Ming Hsieh Department of Electrical and Computer Engineering. His research focuses on the development and improvement of algorithms for DCE-MRI and real-time speech MRI. Specifically, he is concerned with the detection and alleviation of error sources to enhance reproducibility and repeatability of quantitative MRI.
Host: Krishna Nayak, knayak@usc.edu
Webcast: https://usc.zoom.us/j/94148553754Location: Online
WebCast Link: https://usc.zoom.us/j/94148553754
Audiences: Everyone Is Invited
Contact: Talyia White
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. -
Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Feb 24, 2021 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Baihong Jin , Department of Electrical Engineering and Computer Sciences, University of California, Berkeley
Talk Title: Incipient Anomaly Detection with Machine Learning
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Anomaly detection techniques are important in system health monitoring applications (e.g., fault detection and disease diagnosis). By recognizing suspicious patterns in data, anomaly detection models can tell whether a system has degraded from the normal operating condition into a faulty or diseased state. To avoid unnecessary losses, it is desirable to have a way to identify incipient anomalies, i.e. to detect potential problems in their early stages of development. In buildings, early detection of incipient faults can help reduce maintenance and repair costs, save energy, and enhance occupant comfort. In healthcare, if incipient diseases can be discovered early, effective treatments can be applied and can prevent diseases from progressing into more severe stages. We will show that ensemble learning methods can give improved performance on incipient anomalies and identify common pitfalls in these models through extensive experiments on two real-world applications-”detection of chiller faults and diagnosing diabetic retinopathy diseases. A theoretical analysis that compares the two popular strategies for extracting uncertainty information will also be given. We will also discuss how to design more effective ensemble models for detecting incipient anomalies.
Biography: Dr. Baihong Jin is currently a postdoctoral scholar at the Department of Electrical Engineering and Computer Sciences at University of California, Berkeley, where he received his PhD degree. Before that, he received a B.S. degree in microelectronics from Peking University, Beijing, China. Baihong is also a research affiliate in the Energy Technologies Area at the Lawrence Berkeley National Lab. Baihong's research interests include machine learning, fault management, and anomaly detection techniques, with a focus on their applications in energy cyber-physical systems and healthcare AI. Baihong is a recipient of the Lotfi A. Zadeh Prize for his dissertation research at UC Berkeley.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiALocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_Qk4-7AthThudso7LXs2OiA
Audiences: Everyone Is Invited
Contact: Talyia White
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.
