Conferences, Lectures, & Seminars
Events for February
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Geostationary Littoral Imaging and Monitoring Radiometer
Tue, Feb 04, 2020 @ 11:00 AM - 12:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Jeff Puschell, Principal Engineering Fellow and Chief Scientist, Space Systems at Raytheon Space and Airborne Systems in El Segundo, California
Talk Title: Geostationary Littoral Imaging and Monitoring Radiometer
Host: Mahta Moghadda, PhD
More Information: GLIMR SEMINAR 2-4-20 DR. JEFF PUSCHELL Final 1-24-20.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Luz Antunez-Castillo, MBA, EdD
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 05, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Christopher Ré, Department of Computer Science at Stanford University
Talk Title: If You Want to be Rich, Get a lot of Money: Theory and Systems for Weak Supervision
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: If you want to build a high-quality machine learning product, build a large, high-quality training set. At first glance, this seems as useful as the statement "if you want to be rich, get a lot of money." However, a key idea driving our work is that new theoretical and systems concepts including weak supervision, automatic data augmentation policies, and more, can enable engineers to build training sets more quickly and cost effectively. Along with state-of-the-art results on benchmarks, these concepts have allowed our group and collaborators to build a range of state-of-the-art applications including patient-care monitoring on electronic health records, automatic triage systems for radiologists, and enabling cardiologists to spot rare abnormalities in video MRI-along with widely used products from Apple and Google. This talk describes the theoretical and systems challenges that such applications create.
On the machine-learning theory side, a key problem is estimating the quality and correlation of various sources of training data-”but without ground truth labels. This problem connects to classical questions about estimating the covariance of latent variable models. We describe our new techniques that solve this case and can even improve fully supervised methods for estimating the structure of graphical models.
On the machine-learning systems side, this theory opens up new ways to build machine-learning systems. Here, we describe our recent work on systems that help engineers build and maintain machine learning products-without writing low-level code in frameworks like TensorFlow. These systems draw on recent ideas in machine learning, e.g., zero-code deep learning systems, and twists on classical data management ideas, e.g., schemas to separate the model, the supervision, and down-stream serving code.
Much of this work is open source and available at http://snorkel.org or my website.
Biography: Christopher (Chris) Ré is an associate professor in the Department of Computer Science at Stanford University who is affiliated with the Statistical Machine Learning Group and Stanford AI Lab. His recent work is to understand how software and hardware systems will change as a result of machine learning along with a continuing, petulant drive to work on math problems. Research from his group has been incorporated into scientific and humanitarian efforts, such as the fight against human trafficking, along with products from technology and enterprise companies. He cofounded a company, based on his research into machine learning systems, that was acquired by Apple in 2017. More recently, he cofounded SambaNova systems based, in part, on his work on accelerating machine learning. He received a SIGMOD Dissertation Award in 2010, an NSF CAREER Award in 2011, an Alfred P. Sloan Fellowship in 2013, a Moore Data Driven Investigator Award in 2014, the VLDB early Career Award in 2015, the MacArthur Foundation Fellowship in 2015, and an Okawa Research Grant in 2016. His research contributions have spanned database theory, database systems, and machine learning, and his work has won best paper at a premier venue in each area, respectively, at PODS 2012, SIGMOD 2014, and ICML 2016.
Host: Paul Bogdan, pbogdan@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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
Fri, Feb 07, 2020 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Nikunj Mehta, Falkonry
Talk Title: Discovering and Explaining Patterns in Industrial Multivariate Time Series Data
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Complex assets and process units exhibit many different behaviors during the course of industrial operations. Identifying and removing sources of inefficiency in these operations is essential for advancing manufacturing and process operations. In this talk, we explain how classification as opposed to anomaly detection and forecasting is the essential machine learning problem for Industry 4.0. We explain the main challenges for these machine learning problems to motivate research directions. We then describe a signal processing pipeline and user interface for democratizing such machine learning and real-time processing.
Biography: Dr. Nikunj founded Falkonry after realizing that very valuable operational data produced in industrial infrastructure goes mostly unutilized in the energy, manufacturing and transportation sectors. Falkonry has enabled companies to scale predictive operations. Falkonry has significantly improved their uptime, yield and quality. Prior to Falkonry, Dr. Mehta led software architecture and customer success for C3 IoT. Earlier, he led innovation teams at Oracle focused on database technology and led the creation of the IndexedDB standard for databases embedded inside all modern browsers. He has contributed to standards at both W3C and IETF, and is a member of the ACM.
Host: Paul Bogdan, pbogdan@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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. -
Medical Imaging Seminar
Mon, Feb 10, 2020 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Andrei Irimia, Gerontology, Biomedical Engineering, & Neuroscience at USC
Talk Title: Multimodal Imaging, Machine Learning and Electrophysiology for Connectome Mapping in Traumatic Brain Injury and Alzheimer's Disease
Series: Medical Imaging Seminar Series
Abstract: Mapping brain circuitry and its changes after traumatic brain injury (TBI) benefits substantially from the integration of multimodal neuroimaging techniques to quantify and monitor brain pathology, plasticity and degeneration. We have integrated fMRI and network theory with EEG and other approaches to perform supervised learning of connectome data and to study functional trajectories after mild TBI (mTBI). Our results show that geriatric mTBI is associated with fronto-hippocampo-limbic alterations in the brain's default mode network (DMN), and that many of these alterations are statistically indistinguishable from those observed in AD. By leveraging machine learning, we have shown that AD-like degradation of functional circuits can be predicted by acute cognitive deficits after geriatric mTBI. In addition to establishing a statistical association between brain injury, cognition and AD-like DMN degradation, these findings advance the important goal of acutely forecasting mTBI patients' chronic alterations of brain connectivity along AD-like functional trajectories.
Biography: Andrei Irimia is Assistant Professor of Gerontology, Biomedical Engineering and Neuroscience at USC. He holds a PhD in biophysics from Vanderbilt University and has done postdoctoral research at UCSD and UCLA prior to joining USC. His research leverages structural MRI, fMRI, DTI and EEG to study the relationship between traumatic brain injury and Alzheimer's disease. His laboratory in the Davis School of Gerontology is funded by the NIH and DoD.
Host: Richard Leahy, leahy@sipi.usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
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 12, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mykel Kochenderfer, Department of Aeronautics and Astronautics at Stanford University
Talk Title: Automated Decision Making for Safety Critical Applications
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Building robust decision making systems is challenging, especially for safety critical systems such as unmanned aircraft and driverless cars. Decisions must be made based on imperfect information about the environment and with uncertainty about how the environment will evolve. In addition, these systems must carefully balance safety with other considerations, such as operational efficiency. Typically, the space of edge cases is vast, placing a large burden on human designers to anticipate problem scenarios and develop ways to resolve them. This talk discusses major challenges associated with ensuring computational tractability and establishing trust that our systems will behave correctly when deployed in the real world. We will outline some methodologies for addressing these challenges.
Biography: Mykel Kochenderfer is a professor of aeronautics and astronautics at Stanford University. He is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. In addition, he is the director of the SAIL-Toyota Center for AI Research at Stanford and a co-director of the Center for AI Safety. He received a Ph.D. in informatics from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is an author of the textbooks "Decision Making under Uncertainty: Theory and Application" and "Algorithms for Optimization", both from MIT Press.
Host: Paul Bogdan, pbogdan@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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. -
ECE Seminar: Internet Architectural Evolution
Wed, Feb 12, 2020 @ 02:30 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Barath Raghavan, Dept of CS, USC
Talk Title: Internet Architectural Evolution
Abstract: The core architectural features of today's Internet were codified three decades ago. They have served us well over these years, both in practice and as something to inveigh against in research. To remedy numerous weaknesses, some have developed clean-slate designs that reimagine the Internet anew, while others have sought and achieved incremental change. What all agree upon is that architectural evolution is hard.
I will describe a line of research, a decade in the making, to enable architectural change in the Internet. This research has three key aims: pluralism, deployability, and meta-deployability. Since we cannot know what the future holds, we designed an architectural "framework" that enables pluralism -“ the seamless co-existence of many different Internet architectures. Since the high cost of deployment has inhibited experimentation and innovation, we ensured the deployability of new architectures through this framework. And since deployment of the framework itself is a barrier to enabling such architectural evolution, we designed for meta-deployability -“ for the framework itself to be incrementally deployable in today's Internet.
Biography: Barath Raghavan joined USC as an assistant professor of computer science in 2018. Previously he led the engineering team at Nefeli Networks, was a senior staff researcher at ICSI, was CTO of a social-impact nonprofit, developed networked systems at Google, and taught complexity theory at Williams College. His work spans an equally diverse range of areas including Internet architecture, network function virtualization, digital agriculture, network security and privacy, rural Internet access, network troubleshooting and testing, and computing for urban resilience. He received his PhD from UC San Diego in 2009 and his BS from UC Berkeley in 2002. He has received a number of paper awards including from ACM SIGCOMM, ACM DEV, ACM CHI, and the IRTF.
Host: Prof. Richard M. Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
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. -
Joint Math-FLDS/ CPS Seminar
Wed, Feb 19, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Reinhard Heckel, Department of Electrical and Computer Engineering Technical, University of Munich
Talk Title: Image Recovery and Recognition via Exploiting the Structural Bias of Neural Networks
Abstract: Deep neural networks are highly successful tools for image classification, recovery, and restoration. This success is often attributed to large amounts of training data. However, recent findings challenge this view and instead suggest that a major contributing factor to this success is that the architecture imposes strong prior assumptions-”so strong that it enables image recovery without any training data. In this talk we discuss two instances of this phenomena: First, we show that fitting a convolutional network to a corrupted and/or under-sampled measurement of an image provably removes noise and corruptions from that image, without ever having trained the network. Second, we show that it is possible to learn from a dataset with both true and false examples, obtained without explicit human annotations, by exploiting the phenomena that neural networks fit true examples faster than false ones.
Host: Mahdi Soltanolkotabi, soltanol@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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. -
Medical Imaging Seminars - Part 1 of 2
Wed, Feb 19, 2020 @ 04:00 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: E. Brian Welch, Ph.D., M.B.A., Director of Clinical Science, Hyperfine, Guilford, CT
Talk Title: Portable Point-of-Care Bedside MRI
Series: Medical Imaging Seminar Series
Abstract: I will describe the career path that led me from USC (B.S. B.M.E.E. 1998) to graduate school, experiences in industry to academia and back to industry again, and conclude with the most exciting stage of my career so far -“ helping to validate the clinical utility of the world's first portable point-of-care bedside MRI scanner.
Biography: Brian is a biomedical-electrical engineer (B.S. BME-E University of Southern California, 1998) whose Ph.D. training at the Mayo Clinic College of Medicine focused on biomedical imaging. Specifically, he is an expert in methods and software development for magnetic resonance imaging (MRI). His previous and ongoing work concentrates on overcoming the real-world limitations that hinder research and clinical applications of MRI. Strategies to overcome these challenges include hardware and software solutions, alternative data acquisition and reconstruction methods, novel MRI pulse sequences, quantitative imaging methods and associated post-processing tools. Based on more than 20 years of experience in MRI and 6 years of work experience as the on-site Philips Healthcare MR clinical scientist supporting research projects at Vanderbilt University, Dr. Welch acquired deep knowledge of the capabilities of the 3T and 7T human scanners housed at the Vanderbilt University Institute of Imaging Science (VUIIS). Dr. Welch applied that experience and knowledge to his own independent research programs as a Vanderbilt faculty member with contributions in the areas of fat-water MRI, human brown adipose tissue imaging, and continuously moving table MRI. Most recently, Dr. Welch joined the startup company Hyperfine in 2017 as the Director of Clinical Science with the goal of validating the clinical utility of the world's first portable point-of-care bedside MRI scanner.
Host: Prof. Krishna Nayak, knayak@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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. -
Medical Imaging Seminars - Part 2 of 2
Wed, Feb 19, 2020 @ 04:30 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Houchun Harry Hu, Ph.D., Clinical Scientist, Hyperfine, Guilford, CT
Talk Title: Fat to Water in Pediatric MRI
Series: Medical Imaging Seminar Series
Abstract: I will share my experience and career path/choices as a MRI physicist working in three large children's hospitals, from Los Angeles (2011-2014), to Phoenix (2014-2017), to Columbus (2017-2019). I will highlight several projects, including my interests in childhood obesity, my work with spiral MRI in the clinical setting, my foray into non-Gadolinium angiography techniques and arterial spin labeling in children, and my interest in non-Cartesian free-breathing techniques. I will conclude with my thoughts on the promises of a portable point of care MRI system in pediatric settings.
Biography: Houchun Harry Hu, Ph.D., Clinical Scientist, Hyperfine, Guilford, CT Talk Title: Fat to Water in Pediatric MRI Series: MHI Distinguished Visitor Seminar Series Abstract: I will share my experience and career path/choices as a MRI physicist working in three large children's hospitals, from Los Angeles (2011-2014), to Phoenix (2014-2017), to Columbus (2017-2019). I will highlight several projects, including my interests in childhood obesity, my work with spiral MRI in the clinical setting, my foray into non-Gadolinium angiography techniques and arterial spin labeling in children, and my interest in non-Cartesian free-breathing techniques. I will conclude with my thoughts on the promises of a portable point of care MRI system in pediatric settings. Biography: Harry has been working in the domain of pediatric MRI over the last 12 years. He obtained his undergraduate degree (B.S., BME/BMEC) from USC in 2001, and went on to earn a PhD (2006) in BME / MRI from the Mayo Clinic in Rochester, Minnesota. From 2006-2011, he spent time in Professor Krishna Nayak's laboratory at USC working primarily on water-fat imaging. From 2011-2014, he transitioned to Children's Hospital Los Angeles to work on NIH-funded projects in brown adipose tissue. From 2014-2017, Harry moved to Arizona to work as a clinical MRI physicist at Phoenix Children's Hospital, collaborating with Dr. James Pipe from the Barrow Neurological Institute on spiral acquisitions in pediatric brain applications. In June 2017, Harry was recruited to Nationwide Children's Hospital in Columbus, Ohio, as the Director of Imaging Research. In late 2019, Harry joined Hyperfine as a Clinical Scientist as a member of Dr. E. Brian Welch's team to focus on the deployment of the company's point-of-care portable MRI systems in pediatric centers. Harry has served as a Deputy Editor for Magnetic Resonance in Medicine (2012-2017) and is currently an Associate Editor for Radiology and the Journal of Magnetic Resonance Imaging.
Host: Prof. Krishna Nayak, knayak@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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. -
Limits of the quantitative approach, or why parallel and distributed system energy management needs to move on
Thu, Feb 20, 2020 @ 10:15 AM - 11:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Kirk W. Cameron, Virginia Tech
Talk Title: Limits of the quantitative approach, or why parallel and distributed system energy management needs to move on
Abstract: In this talk, we begin with the progression of parallel computer system power management over the last two decades. In particular, we focus on the evolution of quantitative design approaches and the emergence of effective parallel and distributed system runtime power management. We observe that the growing complexity of today's machines limits the effectiveness of traditional quantitative approaches. The Compute-Overlap-Stall (COS) model of parallel computation is proposed to accurately capture the effects of emergent orchestrated power management of processor, memory, and thread throttling. The implication of our findings is that as power management techniques pervade, new machine-learning performance evaluation and prediction approaches will be essential to future computer system designs.
Biography: Professor Kirk W. Cameron directs the stack@cs Center for Computer Systems at Virginia Tech. He pioneered Green HPC (PowerPack, Green500, SPECPower, grano.la) and his software has been downloaded by more than 500,000 people in 160+ countries. His accolades include both NSF and DOE Career Awards, IBM and AMD Faculty Awards, best papers (e.g., HPDC 2017) and the LLNL Science/Technology Excellence Award. His internationally acclaimed SeeMore cluster has been visited by tens of thousands and was named the second best RPi project of all time by MagPi Magazine. In 2017 he was named an ACM Distinguished Scientist and in 2018-2019 he held a Distinguished Visiting Fellowship from the UK Royal Academy of Engineering.
Host: Xuehai Qian, xuehai.qian@usc.edu
More Information: 200220_Kirk Cameron_CENG.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Brienne Moore
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: Ad-Mageddon: The Next Frontier in Online Privacy
Thu, Feb 20, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Zubair Shafiq, University of Iowa
Talk Title: Ad-Mageddon: The Next Frontier in Online Privacy
Abstract: While online advertising supports the "free" web, it relies on a complex and opaque tracking ecosystem that surveils users across the web. Hundreds of millions of users rely on ad-blocking and anti-tracking tools to counter the negative externalities of online advertising and tracking. Perhaps unsurprisingly, advertisers are increasingly retaliating against the users of such tools -- prompting an arms race.
In this talk, I will first discuss the pain points of the state-of-the-art ad-blocking and anti-tracking tools. I will then describe our recent work on building effective and robust countermeasures against online advertising and tracking using machine learning techniques. I will highlight the unique challenges and opportunities in deploying ad-blocking and anti-tracking tools in web browsers as well as mobile and IoT systems. I will conclude with a discussion of my future research vision for a privacy-respecting web.
Biography: Zubair Shafiq is an assistant professor of computer science at the University of Iowa. Prior to this, he received his Ph.D. from Michigan State University in 2014. His research focuses on building privacy-enhancing tools to counter online tracking and surveillance. More broadly, his work takes a data-driven approach to addressing emerging online privacy and security threats. He is a recipient of the NSF CAREER Award (2018), Andreas Pfitzmann PETS Best Student Paper Award (2018), ACM IMC Best Paper Award (2017), NSF CRII Award (2015), Fitch-Beach Outstanding Graduate Research Award (2013), IEEE ICNP Best Paper Award (2012), and the Dean's Plaque of Excellence for undergraduate research (2007, 2008). More information at https://cs.uiowa.edu/~mshafiq
Host: Professor Konstantinos Psounis, kpsounis@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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
Tue, Feb 25, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Junsong Yuan, PhD, State University of New York
Talk Title: Beyond Deep Recognition: Discovering Visual Patterns in Big Visual Data
Abstract: Thanks to the success of deep learning, many computer vision tasks nowadays are formulated as regression problems. However, often times one has to rely on large amounts of annotated training data to make the high-dimensional regression successful. In this talk, we will discuss a complementary yet overlooked problem beyond deep visual recognition and regression. We will discuss why and how to discover visual patterns in images and videos that are not annotated, e.g., unsupervised and weakly-supervised visual learning and pattern discovery, and explore how to utilize them to better model, search, and interpret big visual data. Applications in visual search, object detection, action recognition, and video analytics will also be discussed.
Biography: Junsong Yuan is an Associate Professor and Director of Visual Computing Lab of CSE Department, State University of New York at Buffalo. Before that he was an Associate Professor at Nanyang Technological University (NTU), Singapore. He received his PhD from Northwestern University and M.Eng. from National University of Singapore. He is currently Associate Editor of IEEE Trans. on Image Processing (T-IP) and Machine Vision and Applications (MVA), and Senior Area Editor of Journal of Visual Communication and Image Representation (JVCI), and served as program co-chair for ICME 2018 and area chair for CVPR/ACM MM/WACV/ACCV/ICIP/ICPR etc. He received Best Paper Award from IEEE Trans. on Multimedia, Nanyang Assistant Professorship from NTU, and Outstanding EECS Ph.D. Thesis award from Northwestern University. He is a Fellow of International Association of Pattern Recognition (IAPR).
Host: Dr. C.-C. Jay Kuo
More Information: Yunsong Yuan Seminar 2.25.20.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Gloria Halfacre
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 - Maiken Mikkelsen, Thursday, February 27th at 2pm in EEB 132
Thu, Feb 27, 2020 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Maiken Mikkelsen, Duke University
Talk Title: Atomic-scale Engineering for On-chip Photonic Devices
Abstract: Nano- and quantum materials with unique optical properties hold the potential for breakthroughs in a wide range of areas from ultrafast optoelectronics and on-chip components for quantum information science to improve bio-sensing. An exciting opportunity to realize such new materials lies in controlling the local electromagnetic environment on the atomic- and molecular-scale (~1-10 nm), which enables extreme local field enhancements and drastically modified local density of states. We use creative nanofabrication techniques at the interface between chemistry and physics to realize this new regime together with ultrafast optical techniques to probe the emerging phenomena. Here, I will provide an overview of our recent research where we sculpt the electromagnetic fields on the atomic scale to realize ultrafast single photon sources, high-speed thermal photodetectors with on-chip spectral filters and metasurface-enhanced biosensors.
Biography: Maiken H. Mikkelsen is the James N. and Elizabeth H. Barton Associate Professor at Duke University in the Department of Electrical & Computer Engineering, and by courtesy, in the Departments of Physics and Mechanical Engineering & Materials Science. She received her B.S. in Physics from the University of Copenhagen in 2004, her Ph.D. in Physics from the University of California, Santa Barbara in 2009 and was a postdoctoral fellow at the University of California, Berkeley before joining Duke University in 2012. Her research explores nanophotonics and new quantum materials to enable transformative breakthroughs for optoelectronics, quantum science, the environment and human health. Her awards include the Maria Goeppert Mayer Award from the American Physical Society, the NSF CAREER award, the Moore Inventor Fellow award from the Gordon and Betty Moore Foundation, Young Investigator Program Awards from the Office of Naval Research, the Army Research Office and the Air Force Office of Scientific Research, the Cottrell Scholar Award from the Research Corporation for Science Advancement, the Early Career Achievement Award from SPIE - the International Society for Optics and Photonics, and is the recipient of an RO1 award from the National Institute of Health.
Host: ECE-Electrophysics
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. -
Machine Learning for Performance and Power Modeling/Prediction
Fri, Feb 28, 2020 @ 10:30 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Lizy Kurian John, UT Austin
Talk Title: Machine Learning for Performance and Power Modeling/Prediction
Abstract: Estimating the power and thermal characteristics of SoCs is essential for designing its power delivery system, packaging, cooling, and power/thermal management schemes. Power models that estimate the power consumption of each functional unit/hardware component from first principles are slow and tedious to build. Machine learning can be used to create power models that are fast and reasonably accurate. Machine learning can also be used to calibrate analytical models that estimate power. In this talk, I will present some examples of performance and power modeling using machine learning.
Another application for machine learning has been to create max power stressmarks. Manually developing and tuning so called stressmarks is extremely tedious and time-consuming while requiring an intimate understanding of the processor. In our past research, we created a framework that uses machine learning for the automated generation of stressmarks. In this talk, the methodology of the creation of automatic stressmarks will be explained. Experiments on multiple platforms validating the proposed approach will be described.
Yet another application for machine learning is in cross-platform performance and power prediction. If one model is slow to run real-world benchmarks/workloads, is it possible to predict/estimate the performance/power by using runs on another platform? Are there correlations that can be exploited using machine learning to make cross-platform performance and power predictions? A methodology to perform cross-platform performance/power predictions will be presented in this talk.
Biography: Lizy Kurian John is Cullen Trust for Higher Education Endowed Professor in the Electrical and Computer Engineering at the University of Texas at Austin. She received her Ph. D in Computer Engineering from Pennsylvania State University. Her research interests include workload characterization, performance evaluation, memory systems, reconfigurable architectures, and high-performance architectures for emerging workloads. She is a recipient of many awards including The Pennsylvania State University Outstanding Engineering Alumnus 2011, the NSF CAREER award, UT Austin Engineering Foundation Faculty Award, Halliburton, Brown and Root Engineering Foundation Young Faculty Award 2001, University of Texas Alumni Association (Texas Exes) Teaching Award 2004, etc. She has co-authored books on Digital Systems Design using VHDL (Cengage Publishers, 2007, 2017), a book on Digital Systems Design using Verilog (Cengage Publishers, 2014) and has edited 4 books including a book on Computer Performance Evaluation and Benchmarking. In the past, she has served as Associate Editor of IEEE Transactions on Computers, IEEE Transactions on VLSI, IEEE Computer Architecture Letters, ACM Transactions on Architecture and Code Optimization, and IEEE Micro. She is currently the Editor-in-Chief of IEEE Micro. She holds 12 US patents and is an IEEE Fellow (Class of 2009).
Host: Xuehai Qian, xuehai.qian@usc.edu
More Information: 200228_Lizy John_CENG.pdf
Location: Ronald Tutor Hall of Engineering (RTH) - 105
Audiences: Everyone Is Invited
Contact: Brienne Moore
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.
