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Conferences, Lectures, & Seminars
Events for November
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Sample Complexity of Partition Identification using Multi-armed Bandits with Applications to Nested Monte Carlo
Fri, Nov 02, 2018 @ 02:00 AM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Sandeep Juneja, TIFR, Mumbai, India
Talk Title: Sample Complexity of Partition Identification using multi-armed Bandits with Applications to Nested Monte Carlo
Series: Special/Joint CPS/CommNetS Seminar
Abstract: Given a vector of probability distributions, or arms, each of which can be sampled independently, we consider the problem of identifying the partition to which this vector belongs from a finitely partitioned universe of such vector of distributions. We study this as a pure exploration problem in multi-armed bandit settings and develop sample complexity bounds on the total mean number of samples required for identifying the correct partition with high probability. This framework subsumes well-studied problems in the literature such as finding the best arm or the best few arms. We consider distributions belonging to the single parameter exponential family and primarily consider partitions where the vector of means of arms lie either in a given set or its complement. The sets considered correspond to distributions where there exists a mean above a specified threshold, where the set is a half space and where either the set or its complement is convex. In all these settings, we characterize the lower bounds on mean number of samples for each arm. Further, we propose algorithms that can match these bounds asymptotically with decreasing probability of error. Applications of this framework may be diverse. We briefly discuss a few associated with nested Monte Carlo and its applications to finance.
Biography: Sandeep is a Professor and Dean at the School of Technology and Computer Science in Tata Institute of Fundamental Research in Mumbai. His research interests lie in applied probability including in mathematical finance, Monte Carlo methods, multi-armed bandit based sequential decision making, and game theoretic analysis of queues. He is currently on the editorial board of Stochastic Systems. Earlier he has been on editorial boards of Mathematics of Operations Research, Management Science and ACM TOMACS.
Host: Rahul Jain
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. -
Fall 2018 Joint CSC@USC/CommNetS-MHI Seminar Series
Mon, Nov 05, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Sonja Glavaski, ARPA-E
Talk Title: Building Efficient, Sustainable and Resilient Grid by Controlling the Edge
Abstract: The evolution of the electricity grid faces significant challenges if it is to integrate and accept more energy from renewable generation and other Distributed Energy Resources (DERs). To maintain grid's reliability and turn intermittent power sources into major contributors to the U.S. energy mix, we have to think about the grid differently and design it to be smarter and more flexible. ARPA-E is interested in disruptive technologies that enable increased integration of DERs by real-time adaptation while maintaining grid reliability and reducing cost for customers with smart technologies. This talk will identify opportunities in developing next generation control technologies and grid operation paradigms that address these challenges and enable efficient, sustainable and reliable transmission and distribution of electrical power. Summary of ARPA-E NODES (Network Optimized Distributed Energy Systems) Program funding development of these technologies will be presented. Innovative approaches to coordinated management of bulk generation, DERs, flexible loads, and storage assets with multiple roles, and revenue streams will be discussed.
Biography: Dr. Sonja Glavaski is a Program Director at the Advanced Research Projects Agency-Energy (ARPA-E) overseeing diverse project portfolio developing innovative and disruptive technologies that would facilitate cost-effective building energy audits, more efficient power generation, electrification of transportation, and enable electricity grid to be more flexible and resilient. Her technical focus area is data analytics, and distributed control of complex, cyber-physical systems with emphasis on operations and security of energy systems. Dr. Sonja Glavaski worked on establishment of several grid modernization and transportation focused ARPA-E programs. She spearheaded development and is currently helming ARPA-E NODES Program that aims to develop transformational grid management and control methods to create a virtual energy storage system based on use of flexible loads and distributed energy resources (DERs). Prior to joining ARPA-E, Dr. Glavaski served as a Control Systems Group Leader at United Technologies Research Center (UTRC), where she led a team of multi-disciplinary scientists working on developing game changing technologies for energy efficient building HVAC/R systems, wind turbines, fuel cells and flow batteries. It was at UTRC that she recognized the need to develop more systematic ways to integrate and operate all of these technologies with the electricity grid. Before being at UTRC, Dr. Glavaski led key programs at Eaton Innovation Center and Honeywell Labs. During her 20-plus-year career, Dr. Glavaski has contributed significantly to technical advancements in numerous product areas, including energy systems, vehicles and aircraft systems. Dr. Glavaski received PhD and MS in Electrical Engineering from California Institute of Technology, and Dipl. Ing and MS in Electrical Engineering from the University of Belgrade.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Info: http://csc.usc.edu/seminars/2018Fall/glavaski.html
More Information: 18.11.05_Glavaski_ARPA-E Seminar.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Brienne Moore
Event Link: http://csc.usc.edu/seminars/2018Fall/glavaski.html
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. -
Why Blocks and Why Chains; A First Principles (Re)Design of Blockchains
Wed, Nov 07, 2018 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Pramod Viswanath, Co-Founder and CEO, Applied Protocol Research, Inc University of Illinois at Urbana-Champaign
Talk Title: Why Blocks and Why Chains; A First Principles (Re)Design of Blockchains
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Today's blockchains do not scale in a meaningful way. As more nodes join the system, the efficiency of the system (computation, communication, and storage) degrades, or at best stays constant. Furthermore, the security of the permissionless system imposes limitations on the core performance metrics of throughput, latency and confirmation probability. We take a first principle approach to the blockchain ecosystem addressing each of the various components holistically. Our approach is characterized by seeking fundamental limits (those prescribed by the physics of the underlying network) to performance and designing algorithms that attain them. This research is informed by decades of experience in information theory, coding theory, algorithms, wireless communication and, packet networks. This talk will highlight key outcomes of this research program, including Prism (a new consensus algorithm that guarantees information theoretically optimal throughput, latency, reliability), Spider (a new networking protocol for off-chain payment channels), Polyshard (a new coded storage architecture), and Dandelion (a new network privacy layer).
https://arxiv.org/abs/1810.08092;
https://arxiv.org/abs/1809.10361;
https://arxiv.org/abs/1809.05088;
https://arxiv.org/abs/1809.07468;
Biography: Pramod Viswanath received the Ph.D. degree in EECS from UC Berkeley in 2000. From 2000 to 2001, he was a member of research staff at Flarion technologies, NJ. Since 2001, he is on the faculty at University of Illinois at Urbana Champaign in Electrical and Computer Engineering, where he currently is a professor. He is a coauthor, with David Tse, of the text Fundamentals of Wireless Communication, which has been used in over 60 institutions around the world. He is coinventor of the opportunistic beamforming method and codesigner of Flash-OFDM communication algorithms adapted into fourth-generation cellular systems.
His current research interests are in blockchain technologies from a variety of angles: networking protocols, consensus algorithms, payment channels, distributed coded storage and incentive designs. He is co-founder and CEO of Applied Protocol Research, a startup doing research on blockchain technologies. Applied Protocol Research is staffed by academics (professors, PhDs, and intern graduate students), with a wide variety of backgrounds (EE/CS/ECON covering both theory/systems) from different institutions (Berkeley, CMU, Illinois, MIT, Stanford, USC, UW-Seattle). This talk is joint work by the speaker with: Mohammad Alizadeh (MIT), Salman Avestimehr (USC), Giulia Fanti (CMU), Sreeram Kannan (UW-Seattle), Sewoong Oh (Illinois) and David Tse (Stanford).
Host: Paul Bogdan
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 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. -
Fall 2018 Joint CSC@USC/CommNetS-MHI Seminar Series
Mon, Nov 12, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Munther Dahleh, MIT
Talk Title: A Marketplace for Data: An Algorithmic Solution
Abstract: In this work, we aim to create a data marketplace; a robust real-time matching mechanism to efficiently buy and sell training data for Machine Learning tasks. While the monetization of data and pre-trained models is an essential focus of industry today, there does not exist a market mechanism to price training data and match buyers to vendors while still addressing the associated (computational and other) complexity. The challenge in creating such a market stems from the very nature of data as an asset: it is freely replicable; its value is inherently combinatorial due to correlation with signal in other data; prediction tasks and the value of accuracy vary widely; usefulness of training data is difficult to verify a priori without first applying it to a prediction task. As our main contributions we: propose a mathematical model for a two-sided data market and formally define the key associated challenges; construct algorithms for such a market to function and rigorously prove how they meet the challenges defined. We highlight two technical contributions: a new notion of fairness required for cooperative games with freely replicable goods; a truthful, zero regret mechanism for auctioning a particular class of combinatorial goods based on utilizing Myerson's payment function and the Multiplicative Weights algorithm. These might be of independent interest.
This is a joint work with Anish Agarwal, Tuhin Sarkar, and Devavrat Shah.
Biography: Munther A. Dahleh received his PhD degree from Rice University, Houston, TX, in 1987 in Electrical and Computer Engineering. Since then, he has been with the Department of Electrical Engineering and Computer Science (EECS), MIT, Cambridge, MA, where he is now the William A. Coolidge Professor of EECS. He is also a faculty affiliate of the Sloan School of Management. He is the founding director of the newly formed MIT Institute for Data, Systems, and Society (IDSS). Previously, he held the positions of Associate Department Head of EECS, Acting Director of the Engineering Systems Division, and Acting Director of the Laboratory for Information and Decision Systems. He was a visiting Professor at the Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, for the Spring of 1993. He has consulted for various national research laboratories and companies. Dr. Dahleh is interested in Networked Systems with applications to Social and Economic Networks, financial networks, Transportation Networks, Neural Networks, and the Power Grid. Specifically, he focuses on the development of foundational theory necessary to understand, monitor, and control systemic risk in interconnected systems. His work draws from various fields including game theory, optimal control, distributed optimization, information theory, and distributed learning. His collaborations include faculty from all five schools at MIT. Dr. Dahleh is the co-author (with Ignacio Diaz-Bobillo) of the book Control of Uncertain Systems: A Linear Programming Approach, published by Prentice-Hall, and the co-author (with Nicola Elia) of the book Computational Methods for Controller Design, published by Springer. He is four-time recipient of the George Axelby outstanding paper award for best paper in IEEE Transactions on Automatic Control. He is also the recipient of the Donald P. Eckman award from the American Control Council in 1993 for the best control engineer under 35. He is a fellow of IEEE and IFAC. He has given many keynote lectures at major conferences.
Host: Ketan Savla, ksavla@usc.edu
More Info: http://csc.usc.edu/seminars/2018Fall/dahleh.html
More Information: 18.11.12_Dahleh_MIT-CSC Seminar.pdf
Location: 132
Audiences: Everyone Is Invited
Contact: Brienne Moore
Event Link: http://csc.usc.edu/seminars/2018Fall/dahleh.html
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. -
Trusted Inference Engine: Preventing Neural Network Exfiltration in Hardware Devices
Tue, Nov 13, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Michel A. Kinsy, Boston University
Talk Title: Trusted Inference Engine: Preventing Neural Network Exfiltration in Hardware Devices
Abstract: Companies, in their push to incorporate artificial intelligence - in particular, machine learning - into their Internet of Things (IoT), system-on-chip (SoC), and automotive applications, will have to address a number of design challenges related to the secure deployment of artificial intelligence learning models and techniques. Machine learning (ML) models are often trained using private datasets that are very expensive to collect, or highly sensitive, using large amounts of computing power. The models are commonly exposed either through online APIs, or used in hardware devices deployed in the field or given to the end users. This gives incentives to adversaries to attempt to steal these ML models as a proxy for gathering datasets. While API-based model exfiltration has been studied before, the theft and protection of machine learning models on hardware devices have not been explored as of now. In this work, we examine this important aspect of the design and deployment of ML models. We illustrate how an attacker may acquire either the model or the model architecture through memory probing, side-channels, or crafted input attacks, and propose power-efficient obfuscation as an alternative to encryption, and timing side-channel countermeasures.
Biography: Michel A. Kinsy is an Assistant Professor in the Department of Electrical and Computer Engineering at Boston University (BU), where he directs the Adaptive and Secure Computing Systems (ASCS) Laboratory. He focuses his research on computer architecture, hardware-level security, neural network accelerator designs, and cyber-physical systems. Dr. Kinsy is an MIT Presidential Fellow, the 2018 MWSCAS Myril B. Reed Best Paper Award Recipient, DFT'17 Best Paper Award Finalist, and FPL'11 Tools and Open-Source Community Service Award Recipient. He earned his PhD in Electrical Engineering and Computer Science in 2013 from the Massachusetts Institute of Technology. His doctoral work in algorithms to emulate and control large-scale power systems at the microsecond resolution inspired further research by the MIT spin-off Typhoon HIL, Inc. Before joining the BU faculty, Dr. Kinsy was an assistant professor in the Department of Computer and Information Systems at the University of Oregon, where he directed the Computer Architecture and Embedded Systems (CAES) Laboratory. From 2013 to 2014, he was a Member of the Technical Staff at the MIT Lincoln Laboratory.
Host: Xuehai Qian, xuehai.qian@usc.edu
More Information: 18.11.13 Michel Kinsy_CENG Seminar.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
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. -
Intermittent Computing Systems
Fri, Nov 16, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Brandon Lucia, Carnegie Mellon University
Talk Title: Intermittent Computing Systems
Abstract: The emergence of extremely low-power computing components and efficient energy-harvesting power systems has led to the creation of computer systems that operate using tiny amounts of energy scavenged from their environment. These devices create opportunities for systems where batteries and tethered power are inapplicable: sensors deeply embedded in pervasive civil infrastructure, in-body health monitors, and devices in extreme environments like glaciers, volcanoes, and space. The key challenge is that these devices operate only intermittently, as energy is available, requiring both hardware and software to tolerate power failures that may happen hundreds of times per second. This talk will describe the landscape of intermittent computing systems. I will focus on new programming and execution models that are robust to arbitrarily frequent power failures. In particular, the talk will focus on three models, DINO, Chain, and Alpaca, which we developed as a progression toward a system that is simple to program and offers reliable intermittent operation. I will then discuss how these models interact with our latest hardware platform, Capybara, enabling applications to dynamically re-configure the amount of energy continuously required by a region of code and supporting modal energy demands with a single hardware mechanism. I will close with a discussion of recent and upcoming deployment efforts for our intermittent systems work.
Biography: Brandon Lucia is an Assistant Professor of Electrical and Computer Engineering at Carnegie Mellon University. Lucia's lab's work spans programming languages, software and hardware computer systems, and computer architecture. Lucia's lab is defining the area of intermittent computing on energy-harvesting devices, and working on future reliable, efficient parallel computing systems, especially at the edge. Lucia's work has been recognized with a 2018 NSF CAREER Award, the 2018 ASPLOS Best Paper Award, three IEEE MICRO Top Picks in Computer Architecture, a 2015 OOPSLA Best Paper Award, the 2015 Bell Labs Prize, a 2016 Google Faculty Award, and an appointment to the DARPA ISAT study group. His website is https://brandonlucia.com and more information on his lab, which is supported by NSF, Intel, Google, SRC, DARPA, the Kavcic-Moura Fund, and Disney Research, is available at http://intermittent.systems.
Host: Xuehai Qian, xuehai.qian@usc.edu
More Information: 18.11.16 Brandon Lucia_CENG Seminar.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. -
Fall 2018 Joint CSC@USC/CommNetS-MHI Seminar Series
Mon, Nov 26, 2018 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Geir Dullerud, University of Illinois Urbana-Champaign
Talk Title: Automata-switched systems, decentralized control, and team games
Abstract: This seminar is inspired from a practical perspective by recent advances in computing, sensing and networking hardware that make reconfigurable multiagent systems both technologically and economically feasible on a widespread scale. Switching is a common feature in systems that are comprised of interacting software and physical processes, and in this talk we will focus on a special type of hybrid model called an automaton-switched linear system. These models are closely related to Markovian jump linear systems, and contain both discrete and continuous states, where discrete states evolve according to automata, or more general transition systems, and continuous states evolve according to linear dynamics influenced by the discrete states. We will discuss how such systems can be automatically analyzed using ideas from control theory and semidefinite programming, and will provide solutions to several synthesis problems in this framework, including for instance the long-studied moving horizon problem, and the decentralized control problem for systems with nested structure. We will also present results on a particular class of team games in which players have incomplete model knowledge individually, but jointly know the global system dynamics. The HoTDeC multi-vehicle testbed will also be presented, along with implementations of the above results on indoor UAVs.
Biography: Geir E. Dullerud is the W. Grafton and Lillian B. Wilkins Professor in Mechanical Engineering at the University of Illinois at Urbana-Champaign. There he is also a member of the Coordinated Science Laboratory, where he is Director of the Decision and Control Laboratory (21 faculty); he is an Affiliate Professor of both Computer Science, and Electrical and Computer Engineering. He has held visiting positions in Electrical Engineering KTH, Stockholm (2013), and Aeronautics and Astronautics, Stanford University (2005-2006). Earlier he was on faculty in Applied Mathematics at the University of Waterloo (1996-1998), after being a Research Fellow at the California Institute of Technology (1994- 1995), in the Control and Dynamical Systems Department. He holds a PhD in Engineering from Cambridge University. He has published two books: A Course in Robust Control Theory, Texts in Applied Mathematics, Springer, 2000, and Control of Uncertain Sampled-data Systems, Birkhauser 1996. His areas of current research interest include convex optimization in control, cyber-physical system security, cooperative robotics, stochastic simulation, and hybrid dynamical systems. In 1999 he received the CAREER Award from the National Science Foundation, and in 2005 the Xerox Faculty Research Award at UIUC. He is a Fellow of both IEEE (2008) and ASME (2011). He is the General Chair of the upcoming IFAC workshop Distributed Estimation and Control in Networked Systems (NECSYS) to be held in Chicago in 2019.
Host: Mihailo Jovanovic, mihailo@usc.edu
More Info: http://csc.usc.edu/seminars/2018Fall/dullerud.html
More Information: 18.11.26_Geir Dullerud CSCUSC Seminar.pdf
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Brienne Moore
Event Link: http://csc.usc.edu/seminars/2018Fall/dullerud.html
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. -
Decentralized Signal Processing and Distributed Control for Collaborative Autonomous Sensor Networks
Wed, Nov 28, 2018 @ 12:00 PM - 01:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ryan Alan Goldhahn & Priyadip Ray, Lawrence Livermore National Laboratory
Talk Title: Decentralized Signal Processing and Distributed Control for Collaborative Autonomous Sensor Networks
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Collaborative autonomous sensor networks have recently been used in many applications including inspection, law enforcement, search and rescue, and national security. They offer scalable, low-cost solutions which are robust to the loss of multiple sensors in hostile or dangerous environments. While often comprised of less capable sensors, the performance of a large network can approach the performance of far more capable and expensive platforms if nodes are effectively coordinating their sensing actions and data processing. This talk will summarize work to date at LLNL on distributed signal processing and decentralized optimization algorithms for collaborative autonomous sensor networks, focusing on ADMM-based solutions for detection/estimation problems and sequential and/or greedy optimization solutions which maximize submodular functions such as mutual information.
Biography: Ryan Goldhahn holds a Ph.D. in electrical engineering from Duke University with a focus in statistical and model-based signal processing. Ryan joined the NATO Centre for Maritime Research and Experimentation (CMRE) as a researcher in 2010 and later as the project lead for an effort to use multiple unmanned underwater vehicles (UUVs) to detect and track submarines using multi-static active sonar. In this work he developed collaborative autonomous behaviors to optimally reposition UUVs to improve tracking performance without human intervention. He led several experiments at sea with submarines from multiple NATO nations. At LLNL Ryan has continued to work and lead projects in collaborative autonomy and model-based and statistical signal processing in various applications. He has specifically focused on decentralized detection/estimation/tracking and optimization algorithms for autonomous sensor networks.
Priyadip Ray received a Ph.D. degree in electrical engineering from Syracuse University in 2009. His Ph.D. dissertation received the Syracuse University All-University Doctoral Prize. Prior to joining LLNL, Dr. Ray was an assistant professor at the Indian Institute of Technology (IIT), Kharagpur, India where he supervised a research group of approximately 10 scholars in the areas of statistical signal processing, wireless communications, optimization, machine learning and Bayesian non-parametrics. Prior to this he was a research scientist with the Department of Electrical and Computer Engineering at Duke University. Dr. Ray has published close to 40 research articles in various highly-rated journals and conference proceedings and is also a reviewer for leading journals in the areas of statistical signal processing, wireless communications and data science. At LLNL, Dr. Ray has been the PI/Co-I on multiple LDRDs as well as a DARPA funded research effort in the areas of machine learning for healthcare and collaborative autonomy.
Host: Paul Bogdan
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. -
Ming Hsieh Institite: Emerging Trends Seminar Series
Thu, Nov 29, 2018 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: C.-C. Jay Kuo, Distinguished Professor of Electrical Engineering-Systems and Computer Science, Ming Hsieh Department of Electrical Engineering
Talk Title: Interpretable Convolutional Neural Networks (CNNs) via Feedforward Design
Series: Emerging Trends
Abstract: Given a convolutional neural network (CNN) architecture, its network parameters are determined by backpropagation (BP). In contrast with the BP design, we propose a feedforward (FF) and interpretable design with the LeNet-5 as an illustrative example. The FF design is a data-centric approach that derives network parameters based on training data statistics layer by layer in one pass. To build the convolutional layers, we develop a new signal transform, called the Saab (Subspace approximation with adjusted bias) transform. The bias in filter weights is chosen to annihilate nonlinearity of the activation function. To build the fully-connected (FC) layers, we adopt a label-guided linear least squared regression (LSR) method. The FF design is more computationally efficient and robust against adversarial attacks than the traditional BP design. The classification performances of BP-designed and FF-designed CNNs on the MNIST and the CIFAR-10 datasets are compared. Finally, we comment on the relationship between BP and FF designs by examining their cross-entropy values at nodes of intermediate layers.
Biography: Dr. C.-C. Jay Kuo received his Ph.D. degree from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as Director of the Media Communications Laboratory and Distinguished Professor of Electrical Engineering and Computer Science. His research interests are in the areas of media processing, compression and understanding. Dr. Kuo was the Editor-in-Chief for the IEEE Trans. on Information Forensics and Security in 2012-2014. Dr. Kuo received the 1992 National Science Foundation Young Investigator (NYI) Award, the 1993 National Science Foundation Presidential Faculty Fellow (PFF) Award, the 2010 Electronic Imaging Scientist of the Year Award, the 2010-11 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies, the 2011 Pan Wen-Yuan Outstanding Research Award, the 2014 USC Northrop Grumman Excellence in Teaching Award, the 2016 USC Associates Award for Excellence in Teaching, the 2016 IEEE Computer Society Taylor L. Booth Education Award, the 2016 IEEE Circuits and Systems Society John Choma Education Award, the 2016 IS&T Raymond C. Bowman Award, and the 2017 IEEE Leon K. Kirchmayer Graduate Teaching Award. Dr. Kuo is a Fellow of AAAS, IEEE and SPIE. He has guided 147 students to their Ph.D. degrees and supervised 27 postdoctoral research fellows. Dr. Kuo is a co-author of 275 journal papers, 900 conference papers and 14 books.
Host: MHI
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Benjamin Paul
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor. -
MHI Research & Technology Seminar
Thu, Nov 29, 2018 @ 01:00 PM - 02:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Ruirui Huang, Senior Staff Architect/Director of Cloud Architecture at Alibaba Cloud
Talk Title: Security Architectural Design and Challenges in the Cloud
Series: MHI Research & Technology Seminar
Abstract: I will introduce the multi-layered security architectural design of Alibaba Cloud. Specifically, several technologies and mechanisms in each layer will be highlighted and discussed in terms of their importance and the security purposes which they serve. Additionally, I will raise several security challenges in today's cloud computing domain, and discuss how one might address them today and if there is a better solution in the future.
Biography: Dr. Ruirui Huang is a Senior Staff Architect/Director of Cloud Architecture at Alibaba Cloud (US office, based in Seattle, WA). He is responsible for overseeing and developing the Alibaba Cloud Platform Architecture, with a focus on the secure cloud computing architecture. He is also the author of Alibaba Cloud Security White-paper which was published earlier in 2018. Prior joining Alibaba Cloud, he was a Senior Security Architect at Intel, responsible for multiple Server/PC/Mobile SoCs security architectural designs.
Dr. Ruirui Huang graduated with a Ph.D. degree from the ECE department of the Cornell University in 2013, with research works and interests in the field of computer architectural support of security, reliability, and availability in today's computing world.
Host: MHI
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Benjamin Paul
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.
