Events for October
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Professional Enhancement Seminar
Tue, Oct 06, 2020 @ 08:30 PM - 09:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: TBD, TBD
Talk Title: Professional Enhancement Seminar
Abstract: This bi-monthly seminar brings industry professionals from fields within electrical and computer engineering to share advice and answer questions about what students can do to improve their professional experience.
Meeting ID: 974 2555 7004
Passcode: 494632
Host: Mihailo Jovanovic
Webcast: https://usc.zoom.us/j/97425557004?pwd=T29UWER0emdmRllVMVFiT3pRNlk5QT09WebCast Link: https://usc.zoom.us/j/97425557004?pwd=T29UWER0emdmRllVMVFiT3pRNlk5QT09
Audiences: Everyone Is Invited
Contact: Benjamin Paul
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Oct 07, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mark McKelvin, Jr., The Aerospace Corporation
Talk Title: Digital Engineering: A Transformation of Systems Engineering Practice
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Systems engineering is a transdisciplinary approach and means to enable the realization of complex systems that must satisfy the needs of their customers, users, and other stakeholders. As systems grow in scale and complexity, the implementation of new development methods in systems engineering is required. Advancements in digital technologies are unleashing innovations that provide an opportunity to transform the systems engineering practice. Digital engineering leverages the use of digital technologies to enable systems engineering across disciplines to support integrated system development. A systems engineering environment that is built on an integration of digital technologies enables critical and consistent decision-making throughout the system lifecycle, improves efficiency of engineering practices, and improves data sharing and collaboration to develop solutions that meet stakeholder needs. The ability to integrate across people, processes, and technology to provide system solutions at the speed of need separates digital engineering from traditional systems engineering approaches. This talk will present challenges in systems engineering practice and discuss key enablers for implementing digital engineering. Example applications of digital engineering in space systems development will be provided.
Biography: Mark McKelvin, Jr. is a Senior Project Leader in Digital Engineering at The Aerospace Corporation and a Lecturer in the System Architecting and Engineering graduate program at the University of Southern California, Viterbi School of Engineering. At The Aerospace Corporation, he serves as the technical authority and team lead for the digital engineering implementation of Enterprise System Engineering for the United States Space Force portfolio architect. Prior to joining the Aerospace Corporation, he led the development of model-based engineering technology and techniques for space system development at the National Aeronautics Space Administration Jet Propulsion Laboratory as a software systems engineer and fault protection engineer. He is a Senior Member of the American Institute of Aeronautics and Astronautics, and he serves as President of the International Council on Systems Engineering, Los Angeles Chapter. He holds a Bachelor of Science in Electrical Engineering from Clark Atlanta University and a Ph.D. in Electrical Engineering and Computer Sciences from the University of California, Berkeley.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQ
Audiences: Everyone Is Invited
Contact: Talyia White
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Professional Development Seminar
Mon, Oct 12, 2020 @ 06:15 PM - 07:15 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Titus Winters, Google
Talk Title: Q&A with Titus Winters: C++ in 2020 and Beyond
Abstract: Titus will answer questions such as, why should one learn C++ in 2020? Where does it stand compared to other languages? What are the most important skills of a software engineer? How important is it to know about your hardware? How does the C++ standard committee work? What is the C++ development flow at Google? How fast does your code need to be to cope with today's needs? How to write distributed, reliable, and parallel software?
Meeting ID: 971 5570 9814
Passcode: 2020
Biography: Titus Winters is a Senior Staff Software Engineer at Google, where he has worked since 2010. At Google, he is the library lead for Google's C++ codebase: 250 million lines of code that will be edited by 12K distinct engineers in a month. He served several years as the chair of the subcommittee for the design of the C++ standard library.
For the last 9 years, Titus and his teams have been organizing, maintaining, and evolving the foundational components of Google's C++ codebase using modern automation and tooling. Along the way, he has started several Google projects that are believed to be in the top 10 largest refactorings in human history. That unique scale and perspective has informed all of his thinking on the care and feeding of software systems. His most recent project is the book "Software Engineering at Google" (aka "The Flamingo Book"), published by O'Reilly in early 2020.
Host: Arash Saifhashemi
Webcast: https://usc.zoom.us/j/97155709814?pwd=cVNDOVVLU2l5a0h3UytqQ3A3Vnkydz09WebCast Link: https://usc.zoom.us/j/97155709814?pwd=cVNDOVVLU2l5a0h3UytqQ3A3Vnkydz09
Audiences: Everyone Is Invited
Contact: Benjamin Paul
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Oct 14, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Walid Saad, Electrical and Computer Engineering, Virgina Tech
Talk Title: Reliable Low Latency Communications for Connected Autonomy: Experienced Deep Learning and Control
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: In this talk, we provide an overview on the frontier of research in the area of ultra reliable low latency communications (URLLC) for connected autonomy. In particular, we first introduce a novel framework, dubbed experienced deep learning, that combines deep reinforcement learning with generative adversarial networks (GANs) to enable model-free URLLC under limited data availability and without requiring any knowledge or assumptions on the delay models of the wireless users. This framework is particularly suitable to enable reliable and low latency connectivity for connected autonomy applications whose performance is highly sensitive to the dynamics of the wireless network environment. We show how the proposed framework can intelligently optimize wireless resources while balancing the tradeoff between reliability, latency, and rate. This approach presents a major departure from prior URLLC approaches that often ignore the rate requirements of the users and rely on historic data or on unrealistic delay modeling assumptions. Then, we turn our attention to the problem of joint communications and control for autonomous connected vehicles. In this area, we introduce a new cyber-physical approach for characterizing the wireless reliability of an autonomous vehicle system while being explicitly cognizant of its control system requirements. After characterizing reliability, we show how one can optimize the operation of the autonomous vehicle system while jointly taking into account the delay of the vehicular network and the stability of the control system The synergies between URLLC and control system designs are then discussed. We conclude the talk with an overview on future opportunities in these exciting areas.
Biography: Walid Saad received his Ph.D degree from the University of Oslo in 2010. He is currently a Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network sciEnce, Wireless, and Security (NEWS) laboratory. His research interests include wireless networks, machine learning, game theory, security, unmanned aerial vehicles, cyber-physical systems, and network science. Dr. Saad is a Fellow of the IEEE and an IEEE Distinguished Lecturer. He is also the recipient of the NSF CAREER award in 2013 and the Young Investigator Award from the Office of Naval Research (ONR) in 2015. He was the author/co-author of nine conference best paper awards at WiOpt in 2009, ICIMP in 2010, IEEE WCNC in 2012, IEEE PIMRC in 2015, IEEE SmartGridComm in 2015, EuCNC in 2017, IEEE GLOBECOM in 2018, IFIP NTMS in 2019, and IEEE ICC in 2020. He is the recipient of the 2015 Fred W. Ellersick Prize from the IEEE Communications Society, of the 2017 IEEE ComSoc Best Young Professional in Academia award, of the 2018 IEEE ComSoc Radio Communications Committee Early Achievement Award, and of the 2019 IEEE ComSoc Communication Theory Technical Committee. He was also a co-author of the 2019 IEEE Communications Society Young Author Best Paper. He received the Dean's award for Research Excellence from Virginia Tech in 2019. He currently serves as an editor for most major IEEE Transactions.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQ
Audiences: Everyone Is Invited
Contact: Talyia White
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Professional Enhancement Seminar
Tue, Oct 20, 2020 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jangwon Kim, Amazon
Talk Title: What do you mean by open minded and well prepared for a new opportunity?
Abstract: Jangwon is passionate about enabling natural and complex human-machine interactions. He is also interested in solving problems in the 'broken' healthcare system today. In this talk, he will share his personal experiences focusing on how he pursued his passion and followed interests while under real-life constraints, as well as lessons he gained from his experiences. This talk is not about fast promotion and career growth, but taking new opportunities aligned with one's passion and interests, failing fast, and learning in new environments, like a kid playing in a jungle gym.
Dr. Kim believes that being open-minded and well prepared helped him grab new and rare opportunities. He will share what they mean to him and how they helped him over the past 10 years.
Biography: Jangwon is a research/applied scientist in multimodal signal processing, speech processing and language processing. His interests include robust Automatic Speech Recognition (ASR), affective computing, human-computer interface, computational paralinguistics, healthcare, security, and defense. He finished his PhD at USC in 2015 and worked as a speech scientist at Cobalt Speech and Language for a year. From 2017 to March 2019, he worked as VP of Research at Canary Speech, where he developed machine learning and speech processing technology for healthcare applications. He is now an applied scientist at Amazon, working on ASR, NLP and NLU for Alexa and Amazon Care.
Host: Mihailo Jovanovic
Webcast: https://usc.zoom.us/j/97425557004?pwd=T29UWER0emdmRllVMVFiT3pRNlk5QT09WebCast Link: https://usc.zoom.us/j/97425557004?pwd=T29UWER0emdmRllVMVFiT3pRNlk5QT09
Audiences: Everyone Is Invited
Contact: Benjamin Paul
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Oct 21, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jorge Ortiz, Electrical & Computer Engineering, Rutgers University
Talk Title: Human-Centered Intelligent Sensing Systems
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: This talk is about the design of systems and algorithms for sensing systems that interact directly with humans. I will discuss our work in the Cyber Physical Intelligence lab (CyPhy-Lab) at Rutgers University where we study sensing systems that learn about human behavior, from human feedback, and with humans to improve system objectives and enhance people's lives. I will describe three on-going projects that explore these themes more precisely. First I will describe PillSense, a smart pillbox system for medication adherence. This system helps us learn about how humans take their medication and how physical design is tightly coupled to the system's ability to identify users effectively. We describe two pill box designs and associated algorithms to address the challenges posed. Then, I will discuss our on-going project Maestro, a system that learns from humans to fill the semantic gap between sensor measurements and their interpretation, in order to facilitate the construction of smart ambient-sensing applications in buildings. Finally, I will discuss project Paz, a system that attempts to learn when to interact with humans as we work to facilitate agent-human collaboration to both attain system objectives (i.e. efficiency) and enhance human productivity, comfort, and entertainment.
Biography: Jorge Ortiz is an Assistant Professor at Rutgers University where he directs the Cyber-Physical Intelligence Lab (CyPhy-Lab) and is where he is also a member of the Wireless Information Network Laboratory (WINLAB). His work focuses on building and studying sensing systems that learn about human behavior, from human feedback, and with humans to improve system objectives and enhance people's lives. These include a broad range of sensing systems including smart objects, smart built environments, and smart cities, more broadly. Prior to joining Rutgers in 2018, he was a Research Staff Member at IBM Research working on machine learning and the internet of things. In the five years he was at IBM, he attained 12 patents and published in multiple top academic conferences, journals, and books and was awarded 'Best Poster' at IEEE/ACM IPSN '08, two 'Best Paper Runner-ups' at Buildsys '15, 'Best Paper' at ICISSP '18, and 'Best Paper Runner-up' at IoTDI '19. At IBM he led teams to commercialize two major research projects and bring them to market. Dr. Ortiz also has extensive industry experience, which includes several years at Oracle Corporation and has worked at and led multiple startups. He is currently serving as co-TPC chair for Buildsys 2020. Dr. Ortiz attained his Ph.D. in Computer Science from UC Berkeley in 2013, M.S. in Computer Science from Berkeley in 2010, and a BS in Computer Science from MIT in 2003.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQ
Audiences: Everyone Is Invited
Contact: Talyia White
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Oct 28, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Shyam Gollakota, Department of Computer Science & Engineering at the University of Washington
Talk Title: Insect-Scale Wireless Robotics
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: The concept of insect-scale robotics has long been in the realm of science fiction rather than reality. It is particularly challenging given the extreme size, weight and power requirements for sensing, computing, communication, actuation as well as the need to power such wireless systems. In this talk, I will present a sequence of recent and ongoing research projects that design programmable wireless technologies to achieve this vision. I will first present bio-integrated solutions that combine the best of technology and nature to integrate sensing, computing and communication functionalities onto tiny live flying insects like bees to create a mobile IoT platform. I will then present bio-inspired sensor systems that take their inspiration from nature to create wireless sensors. Specifically, I will talk about a fully wireless, power-autonomous, mechanically steerable vision system that imitates insect head motion to capture wide-angle views at a low power. Using this vision system, I will present the world's smallest terrestrial robot that can move at up to 3.5 centimeters per second, support vision, and operate for 63 to 260 minutes in a power-autonomous manner. I will conclude by talking about our recent work on airdropping wireless sensors in remote and difficult to reach locations using tiny drones and moths as well as ongoing efforts tracking murder hornets in collaboration with the Washington Department of Agriculture.
Biography: Shyam Gollakota is an Associate Professor of Computer Science & Engineering at the University of Washington with adjunct positions in the departments of Electrical Engineering and Mechanical Engineering. His research covers a range of topics, including bio-robotics, computer networks, user interfaces, battery-free computing and mobile health. His work has led to three startups, Jeeva Wireless, Sound Life Sciences and Edus health, has been licensed by ResMed Inc and is in use by close to a million users. He is the recipient of a 2015 National Science Foundation Career Award, an Alfred P. Sloan Fellowship and the SIGMOBILE Rockstar award. He was named as MIT Technology Review's 35 Innovators Under 35, Popular Science 'brilliant 10' and twice to the Forbes' 30 Under 30 list. His group's research has earned Best Paper awards at MOBICOM, SIGCOMM, SenSys, NSDI and CHI, appeared in Science Robotics, Science Translational Medicine and Nature Digital Medicine as well as named as a MIT Technology Review Breakthrough technology of 2016 as well as Popular Science top innovations in 2015. He is an alumni of MIT (Ph.D., 2013, winner of ACM doctoral dissertation award) and IIT Madras.
Host: Pierluigi Nuzzo, nuzzo@usc.edu
Webcast: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQLocation: Online
WebCast Link: https://usc.zoom.us/webinar/register/WN_YSl0DRVOQJetWGNAACPOYQ
Audiences: Everyone Is Invited
Contact: Talyia White