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Conferences, Lectures, & Seminars
Events for October
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ISE 651 - Epstein Seminar
Tue, Oct 01, 2019 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Lei Zuo, Professor and Director, Virginia Tech
Talk Title: Energy Harvesting: From Self-Powered Sensing and Control to Blue Energy and Advanced Manufacturing
Host: Prof. Yong Chen
More Information: October 1, 2019.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Posted By: Grace Owh
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Oct 02, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Sanjay Shakkottai, The University of Texas at Austin
Talk Title: Hyper-parameter Tuning for ML Models: A Monte-Carlo Tree Search (MCTS) Approach
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: We study the application of online learning techniques in the context of hyper-parameter tuning, which is of growing importance in general machine learning. Modern neural networks have several tunable parameters, where training for even one such parameter configuration can take several hours to days. We first cast hyper-parameter tuning as optimizing a multi-fidelity black-box function (which is noise-less) and propose a multi-fidelity tree search algorithm for the same. We then present extensions of our model and algorithm, so that they can function even in the presence of noise. We show that our tree-search based algorithms can outperform state of the art hyper-parameter tuning algorithms on several benchmark data-sets.
Biography: Sanjay Shakkottai received his Ph.D. from the ECE Department at the University of Illinois at Urbana-Champaign in 2002. He is with The University of Texas at Austin, where he is currently the Temple Foundation Endowed Professor No. 3, and a Professor in the Department of Electrical and Computer Engineering. He received the NSF CAREER award in 2004, and was elected as an IEEE Fellow in 2014. His research interests lie at the intersection of algorithms for resource allocation, statistical learning and networks, with applications to wireless communication networks and online platforms.
Host: Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Talyia White
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AME Seminar
Wed, Oct 02, 2019 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Mimi Koehl, University of California, Berkeley
Talk Title: Navigating in a Turbulent Environment
Abstract: When organisms locomote and interact in nature, they must navigate through complex habitats that vary on many spatial scales, and they are buffeted by turbulent wind or water currents and waves that also vary on a range of spatial and temporal scales. We have been using the microscopic larvae of bottom dwelling marine animals to study how the interaction between the swimming or crawling by an organism and the turbulent water flow around them determines how they move through the environment. Many bottom dwelling marine animals produce microscopic larvae that are dispersed to new sites by ambient water currents, and then must land and stay put on surfaces in suitable habitats. Field and laboratory measurements enabled us to quantify the fine scale, rapidly changing patterns of water velocity vectors and of chemical cue concentrations near coral reefs and along fouling communities (organisms growing on docks and ships). We also measured the swimming behavior of larvae of reef dwelling and fouling community animals, and their responses to chemical and mechanical cues. We used these data to design agent based models of larval behavior. By putting model larvae into our real world flow and chemical data, which varied on spatial and temporal scales experienced by microscopic larvae, we could explore how different responses by larvae affected their transport and their recruitment into reefs or fouling communities. The most effective strategy for recruitment depends on habitat.
Biography: Mimi Koehl, a Professor of the Graduate School in the Department of Integrative Biology at the University of California, Berkeley, earned her Ph.D. in Zoology at Duke University. She studies the physics of how organisms interact with their environments, focusing on how microscopic creatures swim and capture food in turbulent water flow, how organisms glide in turbulent wind, how wave battered marine organisms avoid being washed away, and how olfactory antennae catch odors from water or air moving around them.
Professor Koehl is a member of the National Academy of Sciences and the American Academy of Arts and Sciences, and is a Fellow of the American Physical Society. Her awards include a MacArthur genius grant, a Presidential Young Investigator Award, a Guggenheim Fellowship, the John Martin Award (Association for the Sciences of Limnology and Oceanography, for research that created a paradigm shift in an area of aquatic sciences), the Borelli Award (American Society of Biomechanics, for outstanding career accomplishment), the Rachel Carson Award (American Geophysical Union, for cutting-edge ocean science), and the Muybridge Award (International Society of Biomechanics highest honor).
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Posted By: Tessa Yao
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Astani Civil and Environmental Engineering Seminar
Wed, Oct 02, 2019 @ 04:00 PM - 05:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Kostas Papakonstantinou, Penn State University
Talk Title: Computational decision-making under uncertainty in engineering systems: Linking UQ to the action space
Abstract: At the core of every engineering problem lies a decision-making quest, either directly or indirectly. Sophisticated UQ methods are essentially providing decision support through efficient quantification of selected metrics and quantities of interest, and sensitivity analysis. Nonetheless, despite significant progress in UQ methods and techniques, the actual decision-making process is still largely dependent on the static and rather limited traditional cost-benefit analysis framework, and dedicated rigorous computational methodologies for engineering decisions under uncertainty are practically elusive. In this talk, an approach for a seamless integration of stochastic models and data with computational decision-making, able to directly and autonomously offer optimal actions to decision-makers/agents is analyzed. As shown, challenging sequential decision-making problems in nonstationary dynamic environments can be efficiently formulated along the premises of optimal stochastic control, through Markov Decision Processes (MDPs), Partially Observable Markov Decision Processes (POMDPs), and mixed approaches thereof. In systems with relatively low dimensional state and action spaces, MDPs and POMDPs can be satisfactorily solved to global optimality through appropriate dynamic programming algorithms. However, optimal planning for large systems with multiple components is computationally hard and severely suffers from the curse of dimensionality. New developments on Deep Reinforcement Learning (DRL) methods and their capacity of addressing this problem are discussed, with emphasis on our developed DRL formulations and novel algorithmic schemes, specifically tailored to the needs of large engineering systems, able to solve otherwise intractable problems with immense state and action spaces. DRL relations to Artificial Intelligence and Machine Learning are also explained and techniques are demystified down to their fundamental mathematical attributes, underlying computational aspects and connections to engineering. The talk concludes with numerous ongoing efforts along these lines, from centralized/decentralized infrastructure management, to emergency response of cooperating agents, to autonomous robotic navigation and wildfire prevention.
Biography: Dr. Kostas Papakonstantinou is an Assistant Professor of Civil Engineering at Penn State. He obtained a five year Diploma in Civil Engineering and a M.S. in Structural Engineering from the National Technical University of Athens, and M.S. and Ph.D. degrees at the University of California, Irvine. Prior to joining Penn State, he was an Associate Research Scientist at Columbia University. Dr. Papakonstantinou work focuses on probabilistic analysis and stochastic mechanics, decision-making under uncertainty, machine learning, optimization-inverse methods, and their integration with computational structural mechanics and engineering applications. His research has been funded by various programs and his work has received several awards, including the National Science Foundation CAREER award in 2018.
Host: Dr. Roger Ghanem
More Information: Abstract-Bio-K. Papakonstantinou.pdf
Location: Ray R. Irani Hall (RRI) - 101
Audiences: Everyone Is Invited
Posted By: Evangeline Reyes
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NL Seminar-NLP in Computational Journalism: notes from the field at the New York Times
Thu, Oct 03, 2019 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Alex Spangher, USC/ISI
Talk Title: NLP in Computational Journalism: notes from the field at the New York Times
Series: Natural Language Seminar
Abstract: Computational journalism is an emerging field seeking to enhance traditional journalistic processes -- story finding, production, distribution, funding, evaluation and security using computational techniques. Such advances comes at a critical time: journalists' ability to play a watchdog role in society is severely endangered by industry contraction and budget shortfalls.
Many exciting developments in computational journalism require research in NLP. In this talk, I'll discuss some prior work at the New York Times, including generative localized news articles, human-in-the-loop chat-bots, personalization, and coverage-pattern modeling. I'll also discuss long-term challenges we identified in a broad survey article done at Stanford University this summer, as well as my current research directions here at USC.
Biography: Alex Spangher was a data scientist at the New York Times, where he worked with journalists and newsroom stakeholders on data science to improve journalism coverage and revenue. He interned at Microsoft Research and spent a year as a PhD student at Carnegie Mellon University before transferring to the University of Southern California to work with Emilio Ferrara and Nanyun Peng. He has an M.S. in Journalism and an M.S. in Data Science from Columbia University, and received his B.S. from Columbia as well, in neuroscience and computer science. He enjoys playing classical piano and double bass.
Host: Emily Sheng
More Info: https://nlg.isi.edu/nl-seminar
Webcast: https://bluejeans.com/684525530Location: Information Science Institute (ISI) - CR #689
WebCast Link: https://bluejeans.com/684525530
Audiences: Everyone Is Invited
Posted By: Peter Zamar
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Ming Hsieh Institute Seminar Series on Integrated Systems
Fri, Oct 04, 2019 @ 10:00 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Gabriele Manganaro, Director of Technology at Analog Devices
Talk Title: Mixed-Signal Technologies for Ultra-Wide Band Signal Processing Systems
Host: Profs. Hossein Hashemi, Mike Chen, Dina El-Damak, and Mahta Moghaddam
More Information: MHI Seminar Series IS - Gabriele Manganaro.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Posted By: Jenny Lin
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W.V.T. RUSCH ENGINEERING HONORS COLLOQUIUM
Fri, Oct 04, 2019 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Speaker: Ash Morgan, Principal Group Engineering Manager at Microsoft
Talk Title: Profession and Careers: Plunge Straight into Life
Host: EHP
Audiences: By Invite Only
Posted By: Amanda McCraven
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Franco Nori - Munushian Seminar Series, Friday, October 4th at 2pm in EEB 132
Fri, Oct 04, 2019 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Franco Nori, Riken, Saitama, Japan, University of Michigan
Talk Title: Parity-Time-symmetric optics, extraordinary momentum and spin in evanescent waves, optical analog of topological insulators, and the quantum spin Hall effect of light
Abstract: This talk provides a brief overview to some aspects of parity-time-symmetric optics, extraordinary momentum and spin in evanescent waves, optical analog of topological insulators, and the quantum spin Hall effect of light.
1. Parity-Time-Symmetric Optics
Optical systems combining balanced loss and gain provide a unique platform to implement classical analogues of quantum systems described by non-Hermitian parity-time (PT)-symmetric Hamiltonians. Such systems can be used to create synthetic materials with properties that cannot be attained in materials having only loss or only gain. We report PT-symmetry breaking in coupled optical resonators. We observed non-reciprocity in the PT-symmetry-breaking phase due to strong field localization, which significantly enhances nonlinearity. In the linear regime, light transmission is reciprocal regardless of whether the symmetry is broken or unbroken. We show that in one direction there is a complete absence of resonance peaks whereas in the other direction the transmission is resonantly enhanced, which is associated with the use of resonant structures. Our results could lead to a new generation of synthetic optical systems enabling onchip manipulation and control of light propagation.
2. The quantum spin Hall effect of light: photonic analog of 3D topological insulators Maxwell's equations, formulated 150 years ago, ultimately describe properties of light, from classical electromagnetism to quantum and relativistic aspects. The latter ones result in remarkable geometric and topological phenomena related to the spin-1 massless nature of photons. By analyzing fundamental spin properties of Maxwell waves, we show that freespace light exhibits an intrinsic quantum spin Hall effect -”surface modes with strong spin-momentum locking. These modes are evanescent waves that form, for example, surface plasmon-polaritons at vacuum-metal interfaces. Our findings illuminate the unusual transverse spin in evanescent waves and explain recent experiments that have demonstrated the transverse spin-direction locking in the excitation of surface optical modes. This deepens our understanding of Maxwell's theory, reveals analogies with topological insulators for electrons, and offers applications for robust spin-directional optical interfaces.
Biography: Dr. Nori received a PhD in Physics from the University of Illinois, and then did postdoctoral research work at the Institute for Theoretical Physics, now KITP, at the University of California, Santa Barbara. Afterwards, he became Assistant, Associate, full Professor and Research Scientist at the Physics Department of the University of Michigan, Ann Arbor.
He is a RIKEN Chief Scientist, leading the "Theoretical Quantum Physics Laboratory" at RIKEN (the Japanese National Laboratory).
His research group has done pioneering interdisciplinary studies at the interface between nanoscience, quantum
information, superconducting quantum circuitry for quantum computing, photonics, quantum optics, atomic physics, nano-mechanics, mesoscopics, computational physics, and condensed matter physics.
During the past decade, his research group has produced 40 highly-cited papers (i.e., top 1% most cited publications
among all papers in all areas of Physics) according to the Web of Science. He has more than 100 publications in Physical Review Letters, over 50 in Science and Nature journals, and also numerous in other top journals. According to the Web of Science: > 34K citations and h-index 89 (Google Scholar: > 48K citations and h-index 102).
Host: ECE-Electrophysics
More Info: https://minghsiehee.usc.edu/about/lectures/munushian/
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Marilyn Poplawski
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Fall 2019 Joint CSC@USC/CommNetS-MHI Seminar Series
Mon, Oct 07, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Jin Wang, Auburn University
Talk Title: Process Monitoring for Smart Manufacturing: Challenges and Opportunities
Abstract: Process monitoring is an important component in the long-term reliable operation of any system or process and its importance can only become greater in the era of smart manufacturing. Currently, driving by market demand and global competition, process operations in manufacturing are being pushed closer to the process limits; at the same time, with recent advances in sensor technology (such as Internet-of-Things devices), data storage and computing power, there are more data than ever before being collected and stored. These on-going changes in manufacturing industries present a broad spectrum of challenges and opportunities to process monitoring. In this talk, we present a roadmap that summarizes the development of process monitoring over the last century, with the focus on how process monitoring has been evolving in response to various challenges presented by manufacturing industries. Specifically, we believe feature space monitoring (FSM) is emerging as the next generation process monitoring tool, and is poised to provide general solutions that could address many unsolved long-standing challenges (such as process nonlinearity) and emerging challenges (such as 4V challenges associated with IoT generated big data). Finally, we introduce Statistics Pattern Analysis (SPA) as a specific example of FSM, with several case studies (including an IoT-enabled testbed) to demonstrate its performance in addressing various challenges exhibited in smart manufacturing
Biography: Dr. Jin Wang is Walt and Virginia Woltosz Endowed Professor in the Department of Chemical Engineering at Auburn University. She obtained her BS and PhD degrees in chemical engineering (specialized in biochemical engineering) from Tsinghua University in 1994, and 1999 respectively. She then obtained a PhD degree (specialized in control engineering) from the University of Texas at Austin in 2004. While pursuing her second PhD, she joined AMD in 2002 as a senior development engineer. In 2006, Dr. Wang joined Auburn University as B. Redd Assistant Professor, and was promoted to Associate Professor in 2011, then full professor in 2016. The central theme of her research is to apply systems engineering principles and techniques to understand, predict and control complex dynamic systems, including both engineered systems and microbial organisms. Her current research interest includes genome-scale metabolic network modeling and analysis with experimental validations, and big data analytics for smart manicuring. Her research is funded by various US federal and state funding agencies including DOE, NSF, USDA, DOEd and DOT, as well as private foundations.
Host: Joe Qin, sqin@usc.edu
More Info: http://csc.usc.edu/seminars/2019Fall/wang.html
More Information: 191006_Jin Wang.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Brienne Moore
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CILQ Faculty Seminar
Mon, Oct 07, 2019 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Andreas Molisch, Professor/USC
Talk Title: MM-wave propagation channels and their impact on 5G system design
Abstract: Communication in the mm-wave band is an essential part of 5G, allowing us to reach the ambitious data rate and throughput goals of IMT-2020. In order to design systems that will work in practice, a thorough understanding of mm-wave propagation channels is required. This must be based on measurements in real-world channels. This talk provides an overview of such research. After a brief introduction of suitable channel sounders, the talk will concentrate on (i) requirements for street-by-street pathloss models, (ii) dynamics of angular statistics, (iii) outdoor-to-indoor propagation in mm-wave bands, and (iv) spatial consistency and the change of second-order channel statistics. The impact of these channel effects on system design and deployment planning will be elaborated.
Host: CSI
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Posted By: Corine Wong
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ISE 651 - Epstein Seminar
Tue, Oct 08, 2019 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Dmitrii Ostrovskii, Postdoctoral Scholar
Talk Title: On Fast Rates In Empirical Risk Minimization Beyond Least-Squares
Host: Dr. Meisam Razaviyayn
More Information: October 8, 2019.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Posted By: Grace Owh
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Mork Family Department of Chemical Engineering and Materials Science Seminar - Distinguished Lecture Series
Tue, Oct 08, 2019 @ 04:00 PM - 05:20 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Professor Yvonne Chen, University of California, Los Angeles
Talk Title: Engineering Next-Generation T Cells for Cancer Immunotherapy
Abstract: The adoptive transfer of T cells expressing chimeric antigen receptors (CARs) has demonstrated clinical efficacy in the treatment of advanced cancers, with anti-CD19 CAR-T cells achieving up to 90% complete remission among patients with relapsed B-cell malignancies. However, challenges such as antigen escape and immunosuppression limit the long-term efficacy of adoptive T-cell therapy. Here, I will discuss the development of next-generation T cells that can target multiple cancer antigens and resist immunosuppression, thereby increasing the robustness of therapeutic T cells against tumor defense mechanisms. Specifically, I will discuss the development of multi-input receptors and T cells that can interrogate intracellular antigens. I will also discuss the engineering of T cells that can effectively convert TGF-beta from a potent immunosuppressive cytokine into a T-cell stimulant. This presentation will highlight the potential of synthetic biology in generating novel mammalian cell systems with multifunctional outputs for therapeutic applications.
Host: WIChE
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Posted By: Karen Woo/Mork Family
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Oct 09, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Calin Belta , Department of Mechanical Engineering at Boston University
Talk Title: Optimization-based Formal Synthesis
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: In control theory, complicated dynamics such as systems of (nonlinear) differential equations are mostly controlled to achieve stability. This fundamental property is often linked with optimality, which requires minimization of a certain cost along the trajectories of a stable system. In formal synthesis, simple systems such as finite state transition graphs modeling computer programs or digital circuits are controlled from specifications such as safety, liveness, or richer requirements expressed as formulas of temporal logics. With the development and integration of cyber physical and safety critical systems, there is an increasing need for computational tools for controlling complex systems from rich, temporal logic specifications. In this talk, I will introduce some recents results on the connection between optimal control and formal synthesis. Specifically, I will focus on the following problem: given a cost and a correctness temporal logic specification for a dynamical system, generate an optimal control strategy that satisfies the specification. I will first briefly review automata-based methods, in which the dynamics of the system are mapped to a finite abstraction that is then controlled using an automaton corresponding to the specification. I will then focus on optimization-based methods, which rely on mapping the specification and the dynamics to constraints of an optimization problem. I will illustrate the usefulness of these approaches with examples from robotics and traffic control.
Biography: Calin Belta is a Professor in the Department of Mechanical Engineering at Boston University, where he holds the Tegan Family Distinguished Faculty Fellowship. He is the Director of the BU Robotics Lab and of the Center for Autonomous and Robotic Systems (CARS), and is also affiliated with the Department of Electrical and Computer Engineering and the Division of Systems Engineering at Boston University. His research focuses on dynamics and control theory, with particular emphasis on hybrid and cyber-physical systems, formal synthesis and verification, and robotics. He received the Air Force Office of Scientific Research Young Investigator Award and the National Science Foundation CAREER Award. He is a distinguished lecturer of the IEEE Control System Society and an IEEE Fellow.
Host: Jyotirmoy Vinay Deshmukh
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Talyia White
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AME Seminar
Wed, Oct 09, 2019 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Gwynn Elfring, University of British Columbia Vancouver, BC
Talk Title: Active Particles in Complex Fluids
Abstract: Active particles are self driven objects, biological or otherwise, which convert stored or ambient energy into systematic motion. The motion of small active particles in Newtonian fluids has received considerable attention, with interest ranging from phoretic propulsion to biological locomotion, whereas studies on active bodies immersed in complex fluids are comparatively scarce. In this talk I will discuss a theoretical formalism for understanding the motion of active particles in complex fluids and then discuss the effects of viscosity gradients, viscoelasticity and shear thinning rheology in the context of biological locomotion and the propulsion of colloidal Janus particles.
Biography: Gwynn Elfring is an Associate Professor in the Department of Mechanical Engineering and the Institute of Applied Mathematics at the University of British Columbia, and currently a Visiting Associate in the Division of Chemistry and Chemical Engineering at the California Institute of Technology. His group at UBC conducts research on biological locomotion and fluid body interactions in complex fluids and interfaces. Previously, he completed a Ph.D. at the University of California San Diego under the supervision of Eric Lauga and a postdoctoral fellowship with L. Gary Leal and Todd M. Squires at the University of California Santa Barbara.
Host: Kanso
Location: SLH 102
Audiences: Everyone Is Invited
Posted By: Tessa Yao
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Theory Lunch
Thu, Oct 10, 2019 @ 12:15 PM - 02:00 PM
Computer Science
Conferences, Lectures, & Seminars
Speaker: Grigory Yaroslavtsev, Assistant Professor of Statistics at Indiana University
Talk Title: Advances in Hierarchical Clustering of Vector Data
Abstract: Compared to the highly successful flat clustering (e.g. k-means), despite its important role and applications in data analysis, hierarchical clustering has been lacking in rigorous algorithmic studies until late due to absence of rigorous objectives. Since 2016, a sequence of works has emerged and gave novel algorithms for this problem in the general metric setting. This was enabled by a breakthrough by Dasgupta, who introduced a formal objective into the study of hierarchical clustering.
In this talk I will give an overview of our recent progress on models and scalable algorithms for hierarchical clustering applicable specifically to high-dimensional vector data, including embedding vectors arising from deep learning. I will first discuss various linkage-based algorithms (single-linkage, average-linkage) and their formal properties with respect to various objectives. I will then introduce a new projection-based approximation algorithm for vector data. The talk will be self-contained and does not assume prior knowledge of clustering methods.
Host: Shaddin Dughmi
Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Posted By: Cherie Carter
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Sonny Astani Civil and Environmental Engineering Seminar
Thu, Oct 10, 2019 @ 04:00 PM - 05:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dennis Lettenmaier, Ph.D., Department of Geography, University of California, Los Angeles
Talk Title: If extreme precipitation is increasing, why are not floods?
Abstract: Despite evidence of increasing precipitation extremes, corresponding evidence for increases in flooding remains elusive. If anything, flood magnitudes are decreasing despite widespread claims by the climate community that if precipitation extremes increase, floods must also. Based on a recent 2018 WRR paper Sharma, Wasko, and Lettenmaier I suggest reasons why increases in extreme rainfall are not resulting in corresponding increases in flooding. Among them are decreases in antecedent soil moisture, decreasing storm extent, and decreases in snowmelt. I further discuss a recent analysis that investigates linkages between antecedent soil moisture and flooding along the U.S. west coast both historically 1950-present and projected into the future using downscaled global climate model output. Our analysis shows some evidence of mitigation of extreme floods in a warmer climate due to changes in antecedent soil moisture and shifts in the seasonal timing of extreme precipitation. I also discuss an ongoing analysis of flood records from 110 stream gauges for unregulated streams across the western U.S. for the period 1950-2015, where each event was classified into one of six flood-generating mechanisms. This analysis shows few trends in the mix of flood generating mechanisms over the last 50 years, of flood magnitudes, or of the seasonal timing of floods. I argue that understanding the link between changes in precipitation and changes in flooding past and future is a grand challenge for the hydrologic community and is deserving of increased attention.
Host: Dr. George Ban-Weiss
Location: Michelson Center for Convergent Bioscience (MCB) - 102
Audiences: Everyone Is Invited
Posted By: Evangeline Reyes
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W.V.T. RUSCH ENGINEERING HONORS COLLOQUIUM
Fri, Oct 11, 2019 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Robert M. Keller, Department of Computer Science, Harvey Mudd College
Talk Title: University Research and Industry Innovation: Music and Artificial Intelligence
Host: EHP
Audiences: By Invite Only
Posted By: Amanda McCraven
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Ming Hsieh Institute Seminar Series on Integrated Systems
Fri, Oct 11, 2019 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Dennis Sylvester, Professor, University of Michigan
Talk Title: Ultra-low Power Microsystems
Host: Profs. Hossein Hashemi, Mike Chen, Dina El-Damak, Manuel Monge, Constantine Sideris, and Mahta Moghaddam
More Information: MHI Seminar Series IS - Dennis Sylvester.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Posted By: Jenny Lin
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Engineering Nano-electronics for Enabling Ubiquitous Intelligence
Mon, Oct 14, 2019 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Akhilesh Jaiswal, Senior Research Engineer, GLOBALFOUNDRIES Worldwide Research Division
Talk Title: Engineering Nano-electronics for Enabling Ubiquitous Intelligence
Abstract: The science of Artificial Intelligence (AI) is built upon multi-disciplinary areas of research such as Nano-, Bio-electronics, and computational engineering. Despite its meticulous design, the underlying hardware fabrics fueling AI systems are based on decades-old computing principles using Boolean transistor switches. Although transistors have scaled from planar to 3D, the basic synchronous digital computing paradigm based on von-Neumann architecture has remained unaltered. Moreover, transistor scaling, which has been the driving force behind the ever-improving performance of traditional digital systems is approaching its imminent demise. These factors have led to multiple bottlenecks in terms of memory-wall, energy-efficiency, throughput, and security concerns. As such, the vision of enabling 'Ubiquitous Intelligence' cannot be achieved without mitigating the challenges mentioned above and embedding intelligent computations across high-end servers down to resource-constrained edge devices. In this talk, I will present two solutions to mitigate energy- and throughput- bottleneck based on emerging non-volatile technologies and also CMOS SRAM. In particular, I will discuss 1) voltage-controlled spin dynamics to achieve massively parallel in-memory Boolean computing, 3) embedding three terminal spin Hall device into standard SRAM cell to enable in-situ checkpointing and restore operations for intermittently powered devices 3) digital 8 transistor-SRAM bit-cells as multi-bit-analog dot product engine for AI acceleration. I will conclude the talk by presenting future research directions for beyond Moore-era AI computing.
Biography: Akhilesh Jaiswal is currently a Senior Research Engineer for GLOBALFOUNDRIES Worldwide Research Division. As a Senior Engineer he is responsible for 1) developing compact device model for MRAM based AI in-memory circuits 2) enabling AI acceleration through hybrid photonic-electronic neuro-mimetic devices.
Akhilesh received his Ph.D. degree in Nano-electronics from Purdue University in May 2019 under supervision of Prof. Kaushik Roy and Master's degree from University of Minnesota in May 2014. As a part of doctoral program his research focused on 1) Exploration of bio-mimetic devices and circuits using emerging non-volatile technologies for Neuromorphic computing. 2) CMOS based analog and digital in-memory and near-memory computing using standard memory bit-cells for beyond von-Neumann AI/ML acceleration. Akhilesh was an intern with GF Differentiating Technology Lab, Malta, in summer of 2017 and with ARM Devices-Circuits-System Research Group, Austin, in summer 2018. He has authored over 25+ articles in journals and conferences and has 2 issued patents and 13 pending patents under USPTO.
Host: Professor Richard Leahy, leahy@sipi.usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Mayumi Thrasher
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Fall 2019 Joint CSC@USC/CommNetS-MHI Seminar Series
Mon, Oct 14, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Vasileios Christopoulos, University of California, Riverside
Talk Title: The acting and adapting brain: Making decisions and learning to adapt in a dynamic world
Abstract: The ability to select between competing options while acting, and learning to adapt to new situations, underlies our impressive capabilities of playing soccer, flying aircrafts and skiing on the Olympics. Although significant progress has been made on understanding the mechanisms underpinning decision-making and learning, there is no strong consensus on how the brain chooses between actions and adapts to new environmental conditions. I will discuss recent findings from our lab providing evidence that decision-making is not a centralized cognitive process that resides solely within the frontal lobe. Instead, it also includes brain areas that have been traditionally associated with planning and generating actions. By modeling the decision-making process within a neurodynamical framework, I will present an alternative hypothesis according to which decisions emerge via a continuous competition between multiple potential actions. To select between actions, the brain needs an accurate representation of the state of the body and the environment it is in. Despite the sophistication of our sensory system, it is unlikely to extract a complete and accurate representation of the state due to noise and long sensory delays. To avoid instabilities due to these factors, previous work has suggested that the brain builds internal models that predict sensory outcome of motor actions. These predictions are integrated with the incoming sensory feedback to update the estimate of the current state. By recording neural activity from the posterior parietal cortex (PPC) in both humans and non-human primates, I will show that PPC contains an adaptive internal forward model that learns to compensate for delayed visual feedback. I will also discuss clinical brain-machine interface (BMI) studies in human with tetraplegia that have taken steps to elucidate the mechanisms behind the acquisition of new skills and why learning new skills is easier when they are related to already learned abilities. By training a participant to control a computer cursor by modulating the neural activity of PPC neurons, we found that some patterns of activity were generated more easily than others. The easier-to-learn patterns of activity were combinations of pre-existing neuronal patterns, whereas the difficult-to-learn activity patterns were different from the neuronal patterns that the participant had experienced in the past. Importantly, there were neuronal patterns that PPC could not generate indicating that neuroplasticity in learning is constrained by the pre-existing structure of the brain. This fundamental constraint may explain why learning novel tasks can be challenging.
Biography: Dr. Christopoulos is an Assistant Professor at the Bioengineering Department at the University of California Riverside. He received his Ph.D. in Computer Science and Engineering (with minor in Cognitive Sciences) from the University of Minnesota, Minneapolis in 2010. He then moved to California Institute of Technology (Caltech) to work as a post-doctoral fellow at the Andersens lab. In 2017, he was appointed as Research Faculty at the Division of Biology and Biological Engineering at Caltech and Director of Neurotechnology at the T&C Chen Brain-Machine Interface Center. Dr. Christopoulos research group uses neurophysiological, functional brain-imaging and computational methods to elucidate the mechanisms underlying decision-making, motor learning and spatial awareness, and explore circuit dysfunctions in neurological and psychiatric disorders. In recent years, Dr. Christopoulos extended his research to clinical trials including neural prosthetic applications in individuals with tetraplegia (intracortical Brain-Machine Interface), and deep brain stimulation (DBS) in Parkinson's disease (PD) patients.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Info: http://csc.usc.edu/seminars/2019Fall/christopoulos.html
More Information: 191014_Vasileios Christopoulos_CSC.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Brienne Moore
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CILQ Faculty Seminar
Mon, Oct 14, 2019 @ 04:00 PM - 05:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Salman Avestimehr, Professor/USC
Talk Title: Coded Computing: A Transformative Framework for Resilient, Secure, and Private Distributed Learning
Abstract: This talk introduces Coded Computing, a new framework that brings concepts and tools from information theory and coding into distributed computing to mitigate several performance bottlenecks that arise in large-scale distributed computing and machine learning, such as resiliency to stragglers and bandwidth bottleneck. Furthermore, coded computing can enable (information-theoretically) secure and private learning over untrusted workers that is gaining increasing importance in various application domains. In particular, we present CodedPrivateML for distributed learning, which keeps both the data and the model private while allowing efficient parallelization of training across untrusted distributed workers. We demonstrate that CodedPrivateML can provide an order of magnitude speedup (up to ~30x) over the cryptographic approaches that rely on secure multiparty computing.
Host: CSI
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Posted By: Corine Wong
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Astani Civil and Environmental Engineering Seminar
Mon, Oct 14, 2019 @ 04:00 PM - 05:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Yves Weinand, Director and Head of Laboratory for Timber Construction (IBOIS)
Talk Title: Advanced Timber Construction Using Digital Fabrication and Robotics Assemblies
Abstract: Please see Attached.
Host: Dr. Erik Johnson
More Information: Y. Weinand Talk_10-14-19.pdf
Location: Ray R. Irani Hall (RRI) - 101
Audiences: Everyone Is Invited
Posted By: Evangeline Reyes
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Ming Hsieh Institute Seminar Series on Integrated Systems
Tue, Oct 15, 2019 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Nagendra Krishnapura, Professor, IIT Madras
Talk Title: Widely Tunable Active True-Time-Delay Line and Millimeter-Wave VCO
Host: Profs. Hossein Hashemi, Mike Chen, Dina El-Damak, Manuel Monge, Constantine Sideris, and Mahta Moghaddam
More Information: MHI Seminar Series IS - Nagendra Krishnapura.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Jenny Lin
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ISE 651 - Epstein Seminar
Tue, Oct 15, 2019 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Golbon Zakeri, Associate Professor
Talk Title: Pricing Intermittent Renewable Generation Using Stochastic Flexi-Auctions
Host: Prof. Suvrajeet Sen
More Information: October 15, 2019.pdf
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Posted By: Grace Owh
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Mork Family Department of Chemical Engineering and Materials Science Seminar - Distinguished Lecture Series
Tue, Oct 15, 2019 @ 04:00 PM - 05:20 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Professor Jeremy Levy, University of Pittsburgh
Talk Title: Correlated Nanoelectronics
Host: Professor Vashishta
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Posted By: Karen Woo/Mork Family
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Medical Imaging Seminar
Wed, Oct 16, 2019 @ 12:00 PM - 01:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Vanessa Landes, University of Southern California
Talk Title: Radiofrequency Pulse Performance for Myocardial ASL
Series: Medical Imaging Seminar Series
Abstract: Coronary artery disease (CAD) is one of the leading causes of death and disability in the United States, accounting for approximately one third of all deaths in individuals over the age of 35. Myocardial perfusion imaging (MPI) is an important tool to diagnose or monitor patients with CAD. Current techniques use ionizing radiation or contrast agents, and are not suitable for routine monitoring or in patients with chronic kidney disease. Myocardial Arterial Spin Labeling is under development as a contrast and radiation free MPI technique. Spatial coverage must be increased and sensitivity to transit delay must be eliminated for clinical adaptation.
This talk will discuss technical improvements in RF pulse performance for myocardial ASL. First, a hardware-free, efficient RF predistortion technique is developed to improve SMS bSSFP imaging for increased spatial coverage of myocardial ASL. Second, a VS pulse is designed using Fourier Velocity encoding techniques and tailored specifically for labeling of coronary blood at 3T to remove transit delay sensitivities of myocardial ASL. With the proposed methods, the development of myocardial ASL approaches clinical reality.
Biography: Vanessa Landes is a Ph.D. candidate working under the supervision of Prof. Krishna Nayak at the Magnetic Resonance Engineering Laboratory. Her research focuses on MR pulse sequence development and RF pulse design for cardiac applications at 3T.
Host: Professor Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Talyia White
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Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Oct 16, 2019 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Sayan Mitra , University of Illinois at Urbana-Champaign
Talk Title: Optimal Data Rate Estimation and Model Detection for Safe Autonomy
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Building a safe autonomous system will involve connecting a number of perception, monitoring, and decision components over a bandwidth-constrained network. Secondly, many of these components rely heavily on models. Based on these two observations, we motivate a new line of theoretical investigation on data-rate optimal state estimation and model detection. We introduce the notion of estimation entropy that captures the minimal data rate needed for state estimation of dynamical and switched systems. While there are parallels with the information-theoretic counterparts, this notion of estimation bounds the worst-case errors which is often necessary for reasoning about safety. As we believe that computing the estimation entropy of a system exactly will be difficult, we provide upper bounds. We present an algorithm for state estimation over finite bandwidth channels that matches this upper bound. Building on this estimator, we then present an algorithm that can detect the correct model of a system from a set of candidate models. We will conclude with a discussion of switched systems and connections with formal verification.
Biography: Sayan Mitra is a Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign and an affiliate professor of Computer Science. He is the Associate director of research at the recently formed Center for Autonomy. His research interests lie around formal verification, autonomous systems, safety and privacy in control systems, and distributed computing. He has authored a textbook on verification of cyber-physical systems (to be published by MIT press). His research group has developed several leading tools for verification and synthesis of hybrid systems. He holds a PhD in Electrical Engineering and Computer Science from MIT, MSc from the Indian Institute of Science, and a Bachelor's Degree in Electrical Engineering from Jadavpur University. He was a postdoctoral fellow at Caltech (2008), and has held visiting faculty positions at Oxford University, TU Vienna, and Kirtland Air Force Research Laboratory. Sayan received the National Science Foundation's CAREER Award, AFOSR Young Investigator Research Program Award, IEEE-HKN C. Holmes MacDonald Outstanding Teaching Award, a RiSE Fellowship, a Seibel Research Grant, and several best paper awards.
Host: Jyotirmoy Vinay Deshmukh
Location: Hughes Aircraft Electrical Engineering Center (EEB) - EEB 132
Audiences: Everyone Is Invited
Posted By: Talyia White
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CAIS Seminar: Kayla de la Haye (University of Southern California) - Promoting Healthy Eating through Local and Global Social Networks
Wed, Oct 16, 2019 @ 03:00 PM - 04:00 PM
Computer Science
Conferences, Lectures, & Seminars
Speaker: Dr. Kayla de la Haye, University of Southern California
Talk Title: Promoting Healthy Eating through Local and Global Social Networks
Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series
Abstract: Poor diets are a major cause of common 'lifestyle' diseases such as obesity, diabetes, and heart disease. Although eating is often conceptualized as an individual behavior, the evidence shows that it is shaped by social and environmental forces that are insufficiently addressed in many interventions. This talk describes how complex social networks of family, friends, peers, and community stakeholders influence what people eat, and how interventions and policy can target "social architecture" to promote healthy nutrition. I emphasize the important role of innovative network and data science methods, big data, and transdisciplinary team science to advance this work.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Dr. de la Haye works to promote health and prevent disease by applying social network analysis and systems science. Her research, funded by the NIH, the NSF, and the DoD, targets family and community social networks to promote healthy eating and prevent childhood obesity, and to understand the role of social networks in group problem solving in families, teams, and coalitions. She is Treasurer of the International Network of Social Network Analysis (INSNA), and in 2018, she received the INSNA Freeman Award for significant contributions to the study of social structure.
URL: www.kayladelahaye.com
Twitter: @kayladelahaye
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Computer Science Department
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AME Seminar
Wed, Oct 16, 2019 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Kenneth Christensen, Notre Dame
Talk Title: TBD
Abstract: TBD
Biography: TBD
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Posted By: Tessa Yao
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NL Seminar-Answering Complex Questions in the Wild
Thu, Oct 17, 2019 @ 11:00 AM - 12:00 PM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Peng Qi, Stanford University
Talk Title: Answering Complex Questions in the Wild
Series: Natural Language Seminar
Abstract: Open domain question answering (open-domain QA) systems greatly improve our access to the knowledge in large text corpora, but most previous work on this topic lacks the ability to perform multi-hop reasoning, limiting how textual knowledge can actually be used. For instance, to answer What's the Aquaman actor's next movie?", one needs to reason about the entity Jason Momoa instead of just comparing the question to a local context, making the task more challenging.
In this talk, I will present our recent work on enabling text based multi-hop reasoning in open-domain question answering. First, I will talk about how we collected one of the first datasets on multi-hop QA, making it possible to train and evaluate systems to perform explainable complex reasoning among millions of Wikipedia articles. Then, I will present a QA system we developed on this dataset. Iterating between finding supporting facts and reading the retrieved context, our model outperforms all previously published approaches, many of which based on powerful pretrained neural networks like BERT. As our model generates natural language queries at each step of its retrieval, it is also readily explainable to humans, and allows for intervention when it veers off course. I will conclude by comparing our model to other recent developments on this dataset, and discussing future directions on this problem.
Biography: Peng Qi is a PhD student in Computer Science at Stanford University. His research interests revolve around building natural language processing systems that better bridge between humans and the large amount of textual information we are engulfed in. Specifically, he is interested in building knowledge representations, open-domain question answering, explainable models, and multi-lingual NLP systems. He is also interested in linguistics, and builds tools for linguistic structure analysis applicable to many languages.
Host: Emily Sheng
More Info: https://nlg.isi.edu/nl-seminar
Webcast: https://bluejeans.com/265217611Location: Information Science Institute (ISI) - CR #689
WebCast Link: https://bluejeans.com/265217611
Audiences: Everyone Is Invited
Posted By: Peter Zamar
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Moon Diaries
Fri, Oct 18, 2019 @ 10:00 AM - 12:00 PM
Viterbi School of Engineering K-12 STEM Center
Conferences, Lectures, & Seminars
Speaker: Anastasia Stepanova, Cosmonaut
Talk Title: What is the lunar orbital home in Moscow like?
Host: Barboza Space Center and K-12 STEM Center
More Information: Anastasia Interview Master PDF.pdf
Location: Ronald Tutor Hall of Engineering (RTH) - 105
Audiences: Everyone Is Invited
Posted By: Darin Gray/Viterbi K-12 STEM Center
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Quantum Physics Seminar
Mon, Oct 21, 2019 @ 09:00 AM - 10:00 AM
Information Sciences Institute
Conferences, Lectures, & Seminars
Speaker: Dr. Alan Kadin, Consultant for various companies (see bio)
Talk Title: Why We Should be Skeptical about Quantum Computing
Abstract: It is widely believed that quantum computing is on the threshold of practicality, with performance that will soon surpass that of classical computing. On the contrary, it is argued that both the present and the future of quantum computing may be highly uncertain, for the following reasons:
• The promised performance depends on entanglement-based scaling to massive parallelism, which has not been verified, and may be tested [1].
• Even if the theory were correct, exponential sensitivity to noise for highly entangled states could make the technology impractical [2].
• Evidence for entanglement in superconducting qubits may be explained using the nonlinear properties of classical Josephson junctions [3].
• Evidence for entanglement in arrays of coupled qubits may be explained using conventional energy-band theory with delocalized states.
* Poster presented at APS Meeting, March 2019. Available online at http://vixra.org/abs/1903.0501
[1] A.M. Kadin and S.B. Kaplan, Proposed experiments to test the foundations of quantum computing, 2016, http://vixra.org/abs/1607.0105.
[2] G. Kilai, The Quantum Computer Puzzle, 2016, https://arxiv.org/pdf/1605.00992.pdf
[3] J. Blackburn, et al., Survey of Classical and Quantum Interpretations of experiments on Josephson junctions at very low temperatures, Phys. Rep. 611, 2016. https://arxiv.org/pdf/1602.05316.pdf
Biography: Dr. Kadin is a long-time researcher in superconducting devices, and was a faculty member in ECE at the University of Rochester, and then a Senior Scientist at Hypres, Inc. of Elmsford, NY. He wrote the textbook, Introduction to Superconducting Circuits. Recently, he has been a consultant with Hypres and other companies and an adjunct at the College of New Jersey. He has also been an active participant in the IEEE Rebooting Computing Initiative. He received his BS and PhD in physics from Princeton and Harvard, and was also a postdoc at Stony Brook and Minnesota, and a researcher at Energy Conversion Devices, Inc.
Host: Dr. Jonathan Habif
Webcast: https://bluejeans.com/356467557WebCast Link: https://bluejeans.com/356467557
Audiences: Everyone Is Invited
Posted By: Michelle Bonner
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***NO ISE 651, Epstein Seminar - Week of INFORMS***
Tue, Oct 22, 2019 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Posted By: Grace Owh
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CS Colloquium: Ahmed Eldawy (University of California, Riverside) - Interactive Data Exploration as a Service
Tue, Oct 22, 2019 @ 03:30 PM - 04:50 PM
Computer Science
Conferences, Lectures, & Seminars
Speaker: Ahmed Eldawy, University of California, Riverside
Talk Title: Interactive Data Exploration as a Service
Series: Computer Science Colloquium
Abstract: Recently, there has been a tremendous growth in data collection from various sources such as satellites, IoT sensors, smartphones, autonomous cars, and others. At the same time, there is a move for open data led by governments, non-profit organizations, and industry which makes hundreds of thousands of datasets publicly available. This abundance of publicly available open data led to the new data revolution where everyone is interested in exploring this data to look for interesting patterns and innovative findings. While computer scientists and data scientists know how to process this data, no one is out to help citizen scientists, those with little to no knowledge about programming and data management.
This talk describes a new approach to provide citizen scientists with interactive data exploration as a service (IDEAS). The goal is to allow anyone to start exploring those publicly available datasets without a costly process of installing and learning data processing tools or even downloading the datasets of interest. This system will act as an ice breaker that will help engaging more citizen scientists into the field of data science. The main challenge is how to provide real-time processing for hundreds of thousands and petabytes of datasets through a simple interface. This talk describes three modules related to this system, synoptic computation, incremental indexing, and interactive visualization. The synoptic computation module scales up the query processing by providing a real-time approximate answer over small-size synopses of the data such as samples and histograms. The incremental indexing module works in the background and incrementally organizes the data over a cluster of machines to speed up the query processing. Finally, the interactive visualization module presents the results in a visual format which allows the users to inspect the query answers. Preliminary results on the proposed system show that it can bridge the gap between the user requirements for interactivity and the increasing volume of big spatial data.
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Ahmed Eldawy is an Assistant Professor of Computer Science at the University of California, Riverside. His research interests lie in the broad area of databases with a focus on big data management and spatial data processing. Ahmed is the main inventor of SpatialHadoop, the most comprehensive open source system for big spatial data management. Ahmed has many collaborators in industrial research labs including Microsoft Research and IBM Watson. He was awarded the Quality Metrics Fellowship in 2016, Doctoral Dissertation Fellowship in 2015, and Best Poster Runner-up award in ICDE 2014. His work is supported by the National Science Foundation (NSF) and the US Department of Agriculture (USDA).
Host: Shahram Ghandeharizadeh
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Posted By: Computer Science Department
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Mork Family Department of Chemical Engineering and Materials Science Seminar - Lyman L. Handy Colloquia
Tue, Oct 22, 2019 @ 04:00 PM - 05:20 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Professor Chris Leighton, University of Minnesota
Talk Title: Electrolyte Gating of Complex Oxides
Host: Professor Ravichandra
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Posted By: Karen Woo/Mork Family
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AME Seminar
Wed, Oct 23, 2019 @ 03:30 PM - 04:30 PM
Aerospace and Mechanical Engineering
Conferences, Lectures, & Seminars
Speaker: Gary Mitchell, Cardiovascular Engineering, Inc.
Talk Title: TBD
Abstract: TBD
Biography: TBD
Host: AME Department
More Info: https://ame.usc.edu/seminars/
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Posted By: Tessa Yao
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Epstein Dept. Seminar
Thu, Oct 24, 2019
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Ahti Salo, Professor, The Humans of Aalto University
Talk Title: TBD
Host: Prof. Ali Abbas
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Posted By: Grace Owh
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CS Colloquium: Masahiro Ono (NASA JPL) - Robots in Space: How AI and Machine Learning are Revolutionizing Space Exploration
Thu, Oct 24, 2019 @ 03:30 PM - 04:50 PM
Computer Science
Conferences, Lectures, & Seminars
Speaker: Masahiro Ono, NASA JPL
Talk Title: Robots in Space: How AI and Machine Learning are Revolutionizing Space Exploration
Series: Computer Science Colloquium
Abstract: On the third planet of the Solar System, there is an ongoing revolution caused by a group of technologies collectively called as "AI," including, but not limited to, machine learning, optimal decision making, situation awareness, and autonomous navigation. The same revolution is taking off elsewhere in the Solar System, triggered by an advent of HPSC (high-performance spacecraft computing). This talk introduces ongoing research efforts to adapt and enhance latest AI technologies for future exploration missions to Mars, Europa, and Enceladus, such as resource-aware autonomous rover driving, on-board science interpretation, and autonomous descent into Enceladus's vents, which are believed to be connected to the subsurface ocean that may harbor extraterrestrial life.
If you would like to take a peek of the talk, take a look at the following YouTube movies:
https://www.youtube.com/watch?v=-AYvgTlDKQM&t=5s
https://www.youtube.com/watch?v=LJXQ0-a9IJE
https://www.youtube.com/watch?v=7bdS_xpYz7A
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Biography: Dr. Masahiro (Hiro) Ono is a Research Technologist at NASA Jet Propulsion Laboratory, California Institute of Technology. His broad interest is centered around the application of robotic autonomy to space exploration, with an emphasis on machine learning applications to perception, data interpretation, and decision making. Before joining JPL in 2013, he was an assistant professor at Keio University in Japan. He graduated from MIT with PhD in Aeronautics and Astronautics in 2012. Since 2017 he is the PI of a JPL-funded Strategic Research and Development task on the machine learning-based analytics for automated rover systems (MAARS). From 2015 he has led the development of machine learning- based Martian terrain classifier, which is used by MSL and Mars 2020 Rover missions. He was also the PI of a JPL-Caltech joint project on imitation learning-based planning from 2016 to 2018. He was awarded two NIAC Phase I studies: Comet Hitchhiker (2014) and Journey to the Center of Icy Moon (2016). Since 2019, he has been the Autonomy Lead of the EELS (Exobiology Extant Life Surveyor) project.
Host: Stefanos Nikolaidis
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Posted By: Computer Science Department
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Astani Civil and Environmental Engineering Seminar
Thu, Oct 24, 2019 @ 04:00 PM - 05:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Mike Chester, Arizona Stare University
Talk Title: Infrastructure and the Anthropocene
Abstract: See attached
Host: Drs. Burcin Becerik and Felipe de Barros
More Information: Mike Chester_Abstract 10-24-19.pdf
Location: Kaprielian Hall (KAP) - 209
Audiences: Everyone Is Invited
Posted By: Evangeline Reyes
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Grand Challenges Lecture Series
Thu, Oct 24, 2019 @ 05:30 PM - 06:30 PM
Viterbi School of Engineering Student Affairs
Conferences, Lectures, & Seminars
Speaker: Professor Clifford Neuman, Viterbi School of Engineering
Talk Title: Privacy, Security, and Policy in the age of the Internet
Series: Grand Challenges Lecture Series
Host: Viterbi Admission and Student Engagement
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Myra Fernandez
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W.V.T. RUSCH ENGINEERING HONORS COLLOQUIUM
Fri, Oct 25, 2019 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering
Conferences, Lectures, & Seminars
Speaker: Professor James Moore, USC Epstein Department of Industrial and Systems Engineering and Price School of Public Policy
Talk Title: Identifying and quantifying sources of value Metro's 28 by 2028 Plan Using the Olympics as an Excuse to Bankrupt the LA Transit System
Host: EHP
Audiences: By Invite Only
Posted By: Amanda McCraven
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ISE 651 - Epstein Seminar
Tue, Oct 29, 2019 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Kristian Martinsen, Professor, Norwegian Univ. of Science & Tech
Talk Title: TBD
Host: Dr. Qiang Huang
Location: Ethel Percy Andrus Gerontology Center (GER) - 206
Audiences: Everyone Is Invited
Posted By: Grace Owh
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Mork Family Department of Chemical Engineering and Materials Science Seminar - Distinguished Lecture Series
Tue, Oct 29, 2019 @ 04:00 PM - 05:20 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Professor Mikhail Kats , University of Wisconsin
Talk Title: Thermal-emission engineering: challenges and opportunities
Host: Professor Armani
Location: John Stauffer Science Lecture Hall (SLH) - 102
Audiences: Everyone Is Invited
Posted By: Karen Woo/Mork Family
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Human-Building Integration as a Function of Human Physical Signal
Wed, Oct 30, 2019 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Professor Joon-Ho Choi, USC School of Architecture
Talk Title: Human-Building Integration as a Function of Human Physical Signal
Abstract: The Human-Building Integration develops an integrated human-centered framework for intelligent environmental control in a building. The physiological signals of the occupants, as well as their ambient environmental data, are integrated by using sensing agents (such as wearable as well as remote sensors) and embedded environmental sensors in the building. This enables bio-sensing-driven multi-criteria decisions for determining building thermal and lighting system controls that will potentially lower energy usage awhile improving occupant comfort.
This human-centered approach provides a framework that will 1) address sensor data processing and analysis challenges that are inherent in large and dynamic datasets generated from sensing agents; 2) develop methods for optimizing decisions and solutions to multiple-criteria problems pertaining to occupants' preferences; and 3) establish a human-centered control approach that is integrated with a conventional control system for building retrofits to enable real-time decision making and system optimization that enhances energy efficient operations and occupants' comfort. Such a three-fold approach can lead to tailored building environmental control systems with the potential for dramatically improving the efficiency of a building's performance, increasing sustainability, and leveraging informatics technology that can improve the occupants' quality of life.
Biography: Dr. Choi, Joon-Ho is an Associate Professor of Building Science and Associate Dean for Research in the USC Architecture. He is also the Director of Human-Building Integration Research Group. His primary research interests are in the area of human-centered indoor environmental quality control, comprehensive post-occupancy evaluation, and cyber-physical system in a built environment. As an interdisciplinary scholar and principal investigator, he has developed/participated in multiple research projects sponsored by the U.S. federal and research foundation grant programs, as well as industry partners, which include National Science Foundation, Environmental Protection Agency, General Services Administration (GSA), American Institute of America(AIA), International Institute of Building Enclosure, Buro Happold Engineering, Glumac, and AECOM.
Host: Professor Richard Leahy, leahy@sipi.usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Mayumi Thrasher
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Class to Career: Navigating the Process
Thu, Oct 31, 2019 @ 01:00 PM - 01:50 PM
USC Viterbi School of Engineering, Viterbi School of Engineering Student Affairs
Conferences, Lectures, & Seminars
Abstract: Learn how USC Viterbi School of Engineering Career Connections programs, resources and events help students go from class to career. Whether this is your student's first year or last, professional development is key to career advancement. Discover how to help your student navigate the process.
Host: USC Viterbi Undergraduate Programs and Women in Engineering
Audiences: Everyone Is Invited
Posted By: Amanda McCraven
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MASCLE Machine Learning Seminar: Joan Bruna Estrach (NYU) - On (Provably) Learning with Large Neural Networks
Thu, Oct 31, 2019 @ 03:30 PM - 04:50 PM
Computer Science
Conferences, Lectures, & Seminars
Speaker: Joan Bruna Estrach, New York University
Talk Title: On (Provably) Learning with Large Neural Networks
Series: Machine Learning Seminar Series hosted by USC Machine Learning Center
Abstract: Virtually all modern deep learning systems are trained with some form of local descent algorithm over a high-dimensional parameter space. Despite its apparent simplicity, the mathematical picture of the resulting setup contains several mysteries that combine statistics, approximation theory and optimization, all intertwined in a curse of dimensionality.
In order to make progress, authors have focused in the so-called 'overparametrised' regime, which studies asymptotic properties of the algorithm as the number of neurons grows. In particular, neural networks with a large number of parameters admit a mean-field description, which has recently served as a theoretical explanation for its favorable training properties. In this regime, gradient descent obeys a deterministic partial differential equation (PDE) that converges to a globally optimal solution for networks with a single hidden layer under appropriate assumptions.
In this talk, we will review recent progress on this problem, and argue that such framework might provide crucial robustness against the curse of dimensionality. First, we will describe a non-local mass transport dynamics that leads to a modified PDE with the same minimizer, that can be implemented as a stochastic neuronal birth-death process, and such that it provably accelerates the rate of convergence in the mean-field limit. Next, such dynamics fit naturally within the framework of total-variation regularization, which following [Bach'17] have fundamental advantages in the high-dimensional regime. We will discuss a unified framework that controls both optimization, approximation and generalisation errors using large deviation principles, and discuss current open problems in this research direction.
Joint work with G. Rotskoff (NYU), Z. Chen (NYU), S. Jelassi (NYU) and E. Vanden-Eijnden (NYU).
This lecture satisfies requirements for CSCI 591: Research Colloquium.
Host: Yan Liu
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Posted By: Computer Science Department
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Astani Civil and Environmental Engineering Seminar
Thu, Oct 31, 2019 @ 04:00 PM - 05:00 PM
Sonny Astani Department of Civil and Environmental Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Shengqiang Cai, University of California, San Diego
Talk Title: TBA
Abstract: TBA
Location: Kaprielian Hall (KAP) - 209
Audiences: Everyone Is Invited
Posted By: Evangeline Reyes
