Events for January
-
Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Tue, Jan 14, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Stefano Ferretti, University of Bologna, Italy
Talk Title: Are Distributed Ledger Technologies Ready for Smart Transportation Systems?
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: In this talk, I'll present a system architecture that exploits Distributed Ledger Technologies (DLTs) and related software technologies to promote the development of smart transportation systems. DLTs provide very interesting features, such as immutability, traceability and verifiability of data. Thus, the designed system architecture allows creating, storing and sharing data generated by vehicles and users through their sensors, while moving. However, some doubts on the scalability and responsiveness of these technologies appear to be well-founded. Experimental results of a real test-bed over IOTA, a promising DLT for IoT, will be discussed.
Biography: Stefano Ferretti is an Associate Professor at the Department of Computer Science and Engineering of the University of Bologna. He received the Laurea degree (summa cum laude) and the Ph.D. in Computer Science from the University of Bologna respectively in 2001 and in 2005. His current research interests include distributed systems, complex networks, data science, fintech and blockchain technologies, multimedia communications, hybrid and distributed simulation. He is in the editorial board of the Simulation Modelling Practice and Theory (SIMPAT) journal, Elsevier, and of the Encyclopedia of Computer Graphics and Games, published by Springer. He is in the technical committee of Computer Communications, Elsevier, as well as Online Social Networks and Media, Elsevier. He acted as editor of special issues on other international journals (i.e., Wiley CPE, Elsevier ComCom). He acted as chairs for several conferences and workshops within flagship conferences, e.g., ACM Mobisys, IEEE InfoCom.
Host: Prof. Bhaskar Krishnamachari, bkrishna@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Talyia White
-
Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Wed, Jan 22, 2020 @ 02:00 PM - 03:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dimitra Panagou, Aerospace Engineering Department, University of Michigan
Talk Title: Control Synthesis Under Spatiotemporal Specifications
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: Planning and control for multi-agent systems has been a popular topic of research, with applications in numerous real-world autonomous systems. Despite significant progress over the years, challenges such as constraints (in terms of state and time specifications), malicious or faulty information, environmental uncertainty and scalability are still open. In this talk, I will present some of our recent results and ongoing work on a Prescribed-Time Control Barrier Functions framework, where the barriers and underlying controllers meet state and time constraints. The framework builds upon the notions of finite-time and fixed-time stability, and redefines the standard control barrier functions to enable control synthesis that meets spatiotemporal specifications. The efficacy of the approach is illustrated via a spatiotemporal motion planning scenario.
Biography: Dimitra Panagou received the Diploma and PhD degrees in Mechanical Engineering from the National Technical University of Athens, Greece, in 2006 and 2012, respectively. Since September 2014 she has been an Assistant Professor with the Department of Aerospace Engineering, University of Michigan. Prior to joining the University of Michigan, she was a postdoctoral research associate with the Coordinated Science Laboratory, University of Illinois, Urbana-Champaign (2012-2014), a visiting research scholar with the GRASP Lab, University of Pennsylvania (June 2013, fall 2010) and a visiting research scholar with the University of Delaware, Mechanical Engineering Department (spring 2009).
Dr. Panagou's research program emphasizes in the exploration, development, and implementation of control and estimation methods in order to address real-world problems via provably correct solutions. Her research spans the areas of nonlinear systems and control; multi-agent systems and networks; motion and path planning; human-robot interaction; navigation, guidance, and control of aerospace vehicles. She is particularly interested in the development of provably correct methods for the safe and secure (resilient) operation of autonomous systems in complex missions, with applications in robot/sensor networks and multi-vehicle systems (ground, marine, aerial, space). Dr. Panagou is a recipient of a NASA Early Career Faculty Award, of an AFOSR Young Investigator Award, and a Senior Member of the IEEE and the AIAA. More details: http://www-personal.umich.edu/~dpanagou/research/index.html
Host: Paul Bogdan, pbogdan@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Talyia White
-
Munushian Lecture - Raymond Beausoleil, Friday, January 24th at 2pm in EEB 132
Fri, Jan 24, 2020 @ 02:00 PM - 03:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Raymond G. Beausoleil, Hewlett Packard Labs, Palo Alto, CA
Talk Title: Large-Scale Integrated Photonics for Accelerated Communication and Computing
Abstract: The massive explosion in data acquisition, processing, and archiving, hindered by the end of Moore's Law, creates an opportunity for a complete redesign of the information technology stack, including hardware system architectures,
devices, networks, and software to enable future computing systems with multi-exascale performance-”and beyond. Key
to success in this challenging endeavor will be the paradigm shift of moving from a processor-centric to a memory-centric
approach. Architectural changes are necessary to overcome the limitations of the traditional compute-centric model, and will
require new network layouts (e.g., Hyper-X) and new high-performance memory-addressing protocols (e.g., Gen-Z) that rely on a high-bandwidth and energy-efficient photonic interconnect. We will describe the state-of-the-art in datacom photonics and present the advances that will be necessary-”and are already appearing in R&D laboratories-”to enable memory-centric computing at scale.
Memory-centric computing would be an ideal heterogeneous platform for in-memory hardware accelerators that can be
brought to bear on specific problems of scientific, engineering, or industrial interest. Ideally, a mature software ecosystem would simplify the design of a plug-and-play network interface that would allow users to compare the performance of the most advanced accelerators. We will describe such an accelerator-”a coherent optical Ising machine-”that targets NP-hard problems that scale exponentially as a function of system size and are common to applications such as traffic flow optimization, supply chain management, airline scheduling, and DNA sequencing. Optical Ising machines based on symmetry-breaking in pulsed optical parametric oscillators have already been shown to outperform a commercially-available quantum annealer, and there is good reason to believe that integrated photonic implementations of this approach can achieve similar results.
Biography: Ray Beausoleil is a Hewlett Packard Enterprise (HPE) Senior Fellow and a Senior Vice President, and an Adjunct Professor of Applied Physics at Stanford University. At HPE, he leads the Large-Scale Integrated Photonics research group, and is responsible for research on the applications of optics at the micro/nanoscale to high-performance classical and quantum information processing. His current projects include photonic interconnects for exascale computing, and low-power complex nanophotonic circuits. Ray received the Bachelor of Science with Honors in Physics from the California Institute of Technology in 1980, and his Ph.D. in Physics from Stanford in 1986 as a member of Ted Hänsch's research group. In 1996, Ray became a member of the technical staff at HP Laboratories. Among his early accomplishments at HP, he invented the optical paper-navigation algorithms incorporated into the HP/Agilent optical mouse, and now HP's large-format printers. He has published over 300 papers and conference proceedings and five
book chapters. He has over 150 patents issued, and over three dozen pending. He is a Fellow of both the American Physical Society and the Optical Society of America, and the recipient of the 2016 APS Distinguished Lectureship on the Applications of Physics.
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
-
Center for Cyber-Physical Systems and Internet of Things and Ming Hsieh Institute Seminar
Mon, Jan 27, 2020 @ 03:30 PM - 04:30 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Mihai Udrescu, Department of Computer & Information Technology at the Politehnica University of Timisoara (UPT), Romania
Talk Title: From Quantum Computing to Complex Networks: Addressing Tough Questions in Biological and Social Systems
Series: Center for Cyber-Physical Systems and Internet of Things
Abstract: There is a fundamental difference between a technological and a natural system. While the former is the product of an intelligent designer, the latter is the result of an emerging process where randomness, volatility, and environment aggression play an important role. This talk will approach several hard problems in natural systems with computer-based complex network analysis, from drug repurposing and patient phenotype identification to specific patterns of opinion spreading in social networks. The talk will also cast light on the presenter's academic journey, from quantum computing to network science.
Biography: Mihai Udrescu is a Professor with the Department of Computer and Information Technology at the Politehnica University of Timisoara (UPT), Romania, and a Fulbright Visiting Scholar at the Electrical and Computer Engineering Department, Carnegie Mellon University (September 2019 - February 2020). He received his Ph.D. in Computer Engineering from UPT in 2005. Mihai Udrescu's research is targeting the physics of computation and the design of emerging computer systems such as quantum circuits and bio-inspired hardware. Recently, he got involved in research projects that focus on network science, online social networks, and network medicine.
Host: Paul Bogdan, pbogdan@usc.edu
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Posted By: Talyia White
-
AI for Software and Software for AI
Fri, Jan 31, 2020 @ 10:00 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Lin Tan, Purdue University
Talk Title: AI for Software and Software for AI
Abstract: This talk will present research focuses in two directions: (1) using software testing approaches to improve the dependability of machine learning systems, and (2) leveraging machine learning and natural language processing techniques to improve software dependability. Machine learning software is widely used in domains including aircraft collision avoidance systems, Alzheimers disease diagnosis, and autonomous driving cars. Despite the requirement for high reliability, machine learning software is difficult to test and debug. This talk will describe CRADLE, a new approach that (1) performs cross-implementation inconsistency checking to detect bugs in deep learning software, and (2) analyzes anomaly propagation to localize faulty functions in deep learning software. On the other hand, machine learning and natural language processing techniques have unique advantages in completing and automating challenging software development tasks. This talk will present techniques that automatically analyze software text, such as code comments, API documentation, and processor specifications, to extract specifications, generate test cases, and detect software bugs. In addition, this talk will discuss how to build machine learning models to produce specifications and bug patterns automatically from existing bugs and their commit messages to find new bugs.
Biography: Lin Tan is an Associate Professor of Computer Science at Purdue University. She received her PhD from the University of Illinois, Urbana-Champaign. Her research interests include software dependability and software text analytics. Dr. Tan co-authored papers have received ACM SIGSOFT Distinguished Paper Awards at MSR in 2018 and FSE in 2016; and IEEE Micros Top Picks in 2006. Dr. Tan was a recipient of Canada Research Chair, an NSERC Discovery Accelerator Supplements Award, an Ontario Early Researcher Award, an Ontario Professional Engineers Award -” Engineering Medal for Young Engineer, two Google Faculty Research Awards, a Facebook research award, and an IBM CAS Research Project of the Year Award.
Host: Xuehai Qian, xuehai.qian@usc.edu
More Information: 200131_Lin Tan_CENG.pdf
Location: Ronald Tutor Hall of Engineering (RTH) - 526
Audiences: Everyone Is Invited
Posted By: Brienne Moore
