tag:talks.cs.umd.edu,2005:/lists/25/feedISR2024-03-28T04:48:03-04:00tag:talks.cs.umd.edu,2005:Talk/20312018-03-16T16:13:44-04:002018-03-16T16:13:44-04:00https://talks.cs.umd.edu/talks/2031IAI Colloquium: "Failures, Dynamics, Evolution and Control of the Global Risk Network"Boleslaw K. Szymanski - Network Science and Technology Center, Department of Computer Science, Rensselaer Polytechnic Institute<br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">1146 A.V. Williams Building (AVW)</a><br>Thursday, April 5, 2018, 11:00 am-12:00 pm<br><br><b>Abstract:</b> <p>Risks that threaten modern societies form an intricately interconnected network, so it is important to understand how risk activations in distinct domains influence each other. We study the global risks network defined by World Economic Forum experts. Risks are modeled as Cascading Alternating Renewal Processes (CARP) with variable intensities driven by hidden values of exogenous and endogenous failure probabilities. We use maximum likelihood evaluation to find the optimal model parameters based on the expert assessments and historical status of each risk. This approach enables us to analyze risks that are particularly difficult to quantify, such as geo-political or social risks in addition to more quantitative risks such as economic, technological and natural.</p>
<p>In the talk, we describe model dynamics and discuss how to use the model to provide quantitative means for measuring interdependence and materialization of risks in the network. We also talk about limits of the predictability of the system parameters from historical data and model ability to recover hidden variable. Then, we describe how the network evolved recently by comparing steady state which would be reached if the risks were left unabated at different time points. Finally, we also analyze the model resilience and optimal control. Our findings elucidate the identity of risks most detrimental to system stability at various points in time. The model provides quantitative means for measuring the adverse effects of risk interdependence and the materialization of risks in the global risk network.</p>
<p><em>This talk describes work by Boleslaw K. Szymanski, Xin Lin, Xiang Niu, Noemi Derzsy, Alaa Moussawi, Jianxi Gao and Gyorgy Korniss.</em></p><br><b>Bio:</b> <p>Dr. Boleslaw K. Szymanski is the Claire and Roland Schmitt Distinguished Professor and the Director of the ARL Social and Cognitive Networks Academic Research Center at the Rensselaer Polytechnic Institute and the Rensselaer Network Science and Technology (NeST) Center. He received his Ph.D. in Computer Science from Institute of Informatics of National Academy of Science in Warsaw, Poland, in 1976. He published over 300 scientific articles, is a foreign member of the National Academy of Science in Poland and an IEEE Fellow and was a National Lecturer for the ACM. In 2009, he received the Wilkes Medal of British Computer Society and in 2003, William H. Wiley 1866 Distinguished Faculty Award from RPI. His current research interests focus on computer networks and technology-based social networks.</p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/2">CS Department</a> ⋅ <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/20682018-05-02T16:12:05-04:002018-05-02T16:12:05-04:00https://talks.cs.umd.edu/talks/2068Whose Caffeine Reigns Supreme? An AV Williams Coffee EventStudents, faculty and staff in CS, UMIACS, ISR and ECE<br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">1146 A.V. Williams Building (AVW)</a><br>Monday, May 14, 2018, 2:00-5:00 pm<br><br><b>Abstract:</b> <p>A Coffee Tasting/Drinking Event to celebrate the end of Spring Semester 2018 and stimulate your finals week studies!</p>
<p>Hosts: The Institute for Systems Research</p>
<p> UMIACS</p>
<p> Department of Computer Science</p>
<p> Department of Electrical and Computer Engineering</p>
<p>We will be hosting a three-hour coffee hour the afternoon of May 14<sup>th</sup> during which premiere coffees from four different nationally renowned roasters will be available for your consumption.</p>
<p>Coffees will be served elegantly, in 100% compostable cups, brewed via the latest industrial methods—but presently double-blindly, labeled only by a prime number. For those wishing to participate, we will be attempting to apply social choice theory to determine the preferences of the group: whose caffeine reigns supreme? Ballots will be available with which those that sample multiple coffees can qualitatively record their preferences among those they sample. Identities of the four coffees will be revealed at 5:00 pm. Results of the voting on coffee preferences will be announced once the votes are tallied. </p>
<p>For those wishing to bring their own French Presses, pour overs and cold-extraction systems, fresh grounds will be available. We realize that some may not enjoy coffee or need to avoid caffeine, etc. and a variety of non-caffeinated and non-coffee alternatives will be available. </p>
<p>DISCLAIMER: This is a strictly voluntary activity; no participation waivers are required and no human subjects research protocols apply. Any and all allusions to the TV Show “Iron Chef” (the original Japanese version, of course) are purely intentional. Survey instruments regarding coffee preferences are strictly optional, not subject to IRB, and designed for amusement purposes only; any knowledge of game theory or social choice acquired during this process will be incidental. Subjects can stop consuming coffee at any time or choose only to consume cookies. The hosts disclaim any negative impact that coffee consumption will have on final performance yet will take credit for any and all positive effects. No wagering. </p>
<p>WARNING: Contents Hot.</p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/20972018-08-02T14:04:55-04:002018-08-02T14:04:55-04:00https://talks.cs.umd.edu/talks/2097Arena Civil Dialogue: "The Robots Are Coming"Professor Emeritus Ben Shneiderman - CS/UMIACS<br>Arena Stage at the Mead Center for American Theater, Molly Smith Study, Washington, DC<br>Sunday, August 12, 2018, 5:30-7:30 pm<br><br><b>Abstract:</b> <p>ISR-affiliated Professor Emeritus <a href="http://www.isr.umd.edu/faculty/shneiderman">Ben Shneiderman</a> (CS/UMIACS) will participate in a special program at Arena Stage on Sunday Aug. 12, from 5:30 to 7:30 p.m.</p>
<p>He will be speaking as a Dialogue Starter as part of an Arena Civil Dialogue titled <a href="https://www.arenastage.org/tickets/arena-civil-dialogues/" rel="noopener noreferrer">“The Robots Are Coming.”</a></p>
<p>The Arena Civil Dialogues series provides an opportunity for people in the D.C. metro area to engage in civil discourse about social and political issues, demonstrating that people of diverse viewpoints can have fruitful dialogues with each other. The conversations discuss topics related to current events. While the Dialogue Starters will begin the conversation, most of the time will be dedicated to discussion from the participants.</p>
<p>“The Robots Are Coming” deals with social questions related to the increasing capabilities and ubiquity robots. The conversation will deal with questions such as:</p>
<p>• Will robots take more of our jobs?<br>• Will robots outsmart people?<br>• Can robots start wars?</p>
<p>Joining Shneiderman as Dialogue Starters are Jared Bernstein from the Center on Budget and Policy Priorities; Molly Kinder of New America, Mary Wareham of Human Rights Watch and Roman Yampolskly from the University of Louisville.</p>
<p>Shneiderman writes, “As you’ll guess, I think automation is largely a positive force, which increases productivity, lowers costs, and raises living standards. Automation expands the demand for services, thereby raising employment, which is what has happened at Amazon and Fedex.</p>
<p>“Yes, automation is disruptive, but human creative capabilities will create more new jobs, as it has during the agricultural, industrial, technology, and medical revolutions. Gutenberg’s printing press reduced employment for scribes, but the explosion of publication, readers, and writers brought many benefits. Similarly, weaving looms expanded the market and employment in the textile industry, while bank machines increased services and employment in banking. Increasing automation in medical care contributes to better healthcare and expanded employment. Overall, increasing levels of automation are correlated with lower costs, which lead to expanded demand and improved services, thereby increasing employment.</p>
<p>“Our job as technology developers is to ensure that automation and robots are as safe as possible, while working to promote equitable sharing of the benefits. But even more importantly, we have to remember that human creative capabilities are in a different class from the modest but useful tools such as deep learning and artificial intelligence.”</p>
<p>“My position is contrary to those who believe that robots and artificial intelligence will lead to widespread unemployment,” Shneiderman says, “so I expect a spirited discussion.”</p>
<p>Arena Civil Dialogues are free events that are prone to filling quickly. If you would like to attend, it is easy to register <a href="http://www.arenastage.org/civildialogues" rel="noopener noreferrer">here on the Arena Stage website</a>.</p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/21002018-08-16T18:13:59-04:002018-08-16T18:13:59-04:00https://talks.cs.umd.edu/talks/2100Towards the Next Generation Engineering Design Tools: A Seminar w/DARPA's Jan VandebrandeJan Vandebrande - DARPA Defense Sciences Office<br>1110 Kim Building<br>Tuesday, August 21, 2018, 11:00 am-12:00 pm<br><br><b>Abstract:</b> <p><span class="im">This talk will discuss the shortcomings of current mechanical conceptual and detailed design tools and provide the motivation for the two DARPA programs that are developing the foundations of future design systems. The ultimate aim of these programs is to enhance a designer’s ability to create entirely novel designs and designs that fully exploit the possibilities of novel fabrication processes and advanced material architectures. The talk will cover the different approaches taken by the performers and highlight some of their unique technical insights. The talk will finish by providing motivation for a new program to understand sub-system level interactions to manage complexity.</span></p><br><b>Bio:</b> <p>Dr. Jan Vandenbrande joined DARPA as a program manager on July, 2015. He is interested in developing math and computational tools to radically improve design of mechanical products. Topics of specific interest are: exploiting new platform performance possibilities enabled by new materials and fabrication processes (3D printing, composite fibers, micro truss structures); systematic design discovery and new material development and adaptation accelerated with computational tools. He currently manges the Defence Sciences Office design through manufacturing portfolio which includes: FUN Design, TRADES, EQUiPS, MoDyL, TFF, OM and MDP (details available on DARPA’s website). </p>
<p>Before joining DARPA, Dr. Vandenbrande was a Technical Fellow and Senior Manager of the Applied Math Geometry and Optimization group at Boeing. He leveraged his knowledge in geometric reasoning, production automation and design processes to create several advanced geometry processing systems to change how products are designed and made. Boeing uses these tools to conduct design trade and optimization studies; to enable proprietary composite layup fabrication processes; and to visualize metal machinability issues. Dr. Vandenbrande authored several parametric air and space craft models for design trade studies such as the hypersonic X-43C and the Orbital Space Plane study.</p>
<p>At Unigraphics, now Siemens NX, Dr. Vandenbrande worked on the architecture of the next generation Computer Aided Manufacturing (CAM) system, improving tool path generation performance and revamping the CAM user interface. He received his Ph.D. in Electrical Engineering from the University of Rochester for his work on machinable feature recognition.</p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/21222018-09-05T11:29:55-04:002018-09-05T11:29:55-04:00https://talks.cs.umd.edu/talks/2122Neuromorphic Artificial Intelligence: From Mathematical Foundations of Deep Learning to 'Cortex-on-a-Chip'<a href="https://isr.umd.edu/faculty/baras">Distinguished University Professor John Baras - ISR and ECE</a><br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">1146 A.V. Williams Building (AVW)</a><br>Friday, September 21, 2018, 11:00 am-12:30 pm<br><br><b>Abstract:</b> <p>Deep Learning and Artificial Intelligence have attracted enormous attention recently. The race to design and manufacture “brain-like” computers is on and several companies have produced various such chips. Yet, the current state of affairs is very unsatisfactory and ad hoc. We describe a mathematical framework we have developed that provides a hierarchical architecture for learning and cognition. The architecture combines a wavelet preprocessor, a group invariant feature extractor and a hierarchical (layered) learning algorithm. There are two feedback loops, one back from the learning output to the feature extractor and one all the way back to the wavelet preprocessor. We show that the scheme can incorporate all typical metric differences but also non-metric dissimilarity measures like Bregman divergences. The learning module incorporates two universal learning algorithms in their hierarchical tree-structured form, both due to Kohonen, Learning Vector Quantization (LVQ) for supervised learning and Self-Organizing Map (SOM) for unsupervised learning. We demonstrate the superior performance of the resulting algorithms and architecture on a variety of practical problems including: speaker and sound identification, simultaneous determination of sound direction of arrival speaker and vowel ID, face recognition. We demonstrate how the underlying mathematics can be used to provide systematic models for design, analysis and evaluation of deep neural networks. We describe current work and plans on mixed signal (digital and analog) micro-electronic implementations that mimic architectural abstractions of the cortex of higher-level animals and humans, for sound and vision perception and cognition. The resulting architecture is non-von Neumann (i.e. computing and memory are not separated in the hardware) and neuromorphic. We call the resulting chip class “Cortex-on-a-Chip.”</p><br><b>Bio:</b> <p>John S. Baras received the B.S. in Electrical Engineering from the National Technical University of Athens, Greece, in 1970, and the M.S. and Ph.D. in Applied Mathematics from Harvard University in 1971 and 1973.</p>
<p>Professor Baras was the Founding Director of the Institute for Systems Research (one of the first six NSF Engineering Research Centers) from 1985 to 1991. Since August 1973 he has been with the Electrical and Computer Engineering Department, and the Applied Mathematics Faculty, at the University of Maryland, College Park, where he is currently a Professor holding a permanent joint appointment with the ISR. In February 1990 he was appointed to the Lockheed Martin Chair in Systems Engineering. Since 1992 Dr. Baras has been the Founding Director of the Maryland Hybrid Networks Center (HyNet) ) (an industry-university-government consortium, with substantial support from DoD, NASA and industry focusing on hybrid wireless networks). He was named a Distinguished University Professor by the University of Maryland in 2018. It is the highest honor bestowed by the university on its faculty.</p>
<p>Among his awards are: a 1978 Naval Research Laboratory Research Publication Award; the 1980 Outstanding Paper Award of the IEEE Control Systems Society; 1983 and 1993 Alan Berman Research Publication Awards from NRL; 1991 Outstanding Invention of the Year Award from the University of Maryland for the invention of a “Low Complexity CELP Speech Coder”; 1994 Outstanding Invention of the Year Award from the University of Maryland for the invention of "A System Design for a Hybrid Network Data Communications Terminal Using Asymmetric TCP/IP to Support Internet Applications"; November 1995, Outstanding Contributions to Seniors Award, from the Vice President for Student Affairs and the Senior Council; January 1996, Outstanding Paper Award, "ATM in Hybrid Networks", presented at Design SuperCon 1996 Conference, Santa Clara, CA; April 1996, MIPS Research Award of Excellence for Outstanding Contributions in Advancing Maryland Industry for work done with Hughes Network Systems; December 1998, the Mancur Olson Research Achievement Award, from the Univ. of Maryland College Park (award recognizes faculty whose research achievements have been extraordinary); December 2002, Best paper Award at the 23rd Army Science Conference, Orlando, Florida; September 2004, Best paper Award 2004 Wireless Security conference.</p>
<p>Dr. Baras is a Fellow of the IEEE, SIAM, AAAS, the National Academy of Inventors, and IFAC. He was elected Foreign Member of the Royal Swedish Academy of Engineering Sciences, March 2006.</p>
<p>He has consulted extensively with industry and government on various automation, systems and telecommunication problems. He has served in the following: Board of Governors of the IEEE Control Systems Society; IEEE Engineering R&D Committee; Aerospace Industries Association advisory committee on advanced sensors; IEEE Fellow evaluation committee. He is currently serving on the editorial board of Mathematics of Control, Signals, and Systems, the editorial board of Systems and Control: Foundations and Applications, the editorial board of IMA J. of Mathematical Control and Information, the editorial board of Systems Automation-Research and Applications. Dr. Baras is a world renowned researcher in communication and automation systems, has received many awards for his papers and research, has more than 450 technical papers published and was the editor of the book “Recent Advances in Stochastic Calculus”, Springer, 1990. He holds three patents (all in signal processing) and has four pending. He has graduated 42 PhD students and 70 MS students. He has sponsored and supervised 32 postdoctoral scholars. Dr. Baras is internationally known for his leadership of industry-university-government consortia and has collaborated effectively with both industry and government scientists and engineers.</p>
<p>Professor Baras' research interests include: wireless networks, sensor networks, distributed networked control systems, satellite and hybrid communication networks, integrated network management systems, fast Internet services via hybrid, satellite and wireless networks, network security and intrusion detection, stochastic systems, robust control of nonlinear systems, real-time parallel architectures for nonlinear signal processing, intelligent control systems, expert and symbolic systems for control and communication systems synthesis, distributed parameter systems, planning and optimization, real-time architectures for intelligent control, speech and image compression and understanding, biomimetic algorithms and systems for signal processing and sensor networks, model-based systems engineering, model-based software engineering, integration of logic programming and nonlinear programming for trade-off analysis, object oriented modeling of complex engineering systems, validation and verification of systems models and designs, intelligent manufacturing of smart materials, integrated product-process design. He is widely credited for inventing and establishing Internet over satellite and hybrid networks and for initiating the new “component based” approach to wireless network modeling and design. He has more than 30 years experience and contributions to defense related problems.</p>
<p>Professor Baras was the initial principal architect of the ISR M.S. program in Systems Engineering. He arranged for industry participation in advisory and teaching capacity. More recently Dr. Baras has been heavily involved in the development of new core courses for systems engineering. These include courses on systems modeling, systems engineering fundamentals, system requirements analysis, system trade-off analysis and tools, system validation-verification and testing and systems integration. In his efforts to teach systems thinking at the undergraduate level to all Engineering majors he is developing three courses, with the objective to introduce in the foundational core for engineering education the key concepts of system models, controls and signals in a way that integrates computer related ideas and constructs into these foundations from the start. His efforts address the often emphasized need for a new integrative approach to engineering (holistic rather than in parts) which in turn addresses the needs for modular design, systems thinking and team work.</p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/21282018-09-07T12:59:11-04:002018-09-07T12:59:11-04:00https://talks.cs.umd.edu/talks/2128Michele Gelfand in Conversation with Thomas Friedman<a href="https://www.gelfand.umd.edu">Michele Gelfand, Thomas Friedman - UMD Psychology; collaborative researcher with Dana Nau (CS/ISR)</a><br>Samuel Riggs IV Alumni Center<br>Thursday, October 4, 2018, 4:00-5:00 pm<br><br><b>Abstract:</b> <p>A special event featuring University of Maryland author and Distinguished University Professor <a href="https://isr.umd.edu/news/www.gelfand.umd.edu">Michele Gelfand</a> (Psychology) will be held at the Samuel Riggs IV Alumni Center on Oct. 4. Gelfand is a frequent collaborator with Professor <a href="https://www.cs.umd.edu/~nau">Dana Nau</a> (CS/ISR) on projects involving socio-cultural modeling.</p>
<p>At the event, Gelfand will be in conversation with bestselling author and journalist Thomas Friedman. They will talk about her new book, <a href="http://www.simonandschuster.com/books/Rule-Makers-Rule-Breakers/Michele-Gelfand/9781501152931"><em>Rule Makers, Rule Breakers: How Tight and Loose Cultures Wire the World</em></a>. The work with Nau will be included in the conversation.</p>
<p>University of Maryland Provost Mary Ann Rankin will give the introductory remarks, and a reception will follow the talk.</p>
<p><strong>Reservations are required.</strong> Please RSVP by Thursday, September 21, 2018 at <a href="https://go.umd.edu/GelfandFriedman18">https://go.umd.edu/GelfandFriedman18</a></p>
<p>Nau, Gelfand and their colleagues have been integrating research on evolutionary game theory with cross-cultural psychology for the past decade, publishing in journals such as the <em><a href="http://gelfand.umd.edu/pages/papers/20132661.full.pdf">Proceedings of the Royal Society B</a>, <a href="http://gelfand.umd.edu/pages/papers/srep17963.pdf">Nature Scientific Reports</a>, <a href="http://gelfand.umd.edu/papers/De%20Nau%20Gelfand%20Norm%20Change%20AAMAS.pdf">AAMAS</a></em>, and <em><a href="http://gelfand.umd.edu/pages/papers/OBHDP%20Roos,%20Gelfand,%20Nau%20&%20Lun.pdf">Organizational Behavior and Human Decision Processes</a>.</em></p>
<p>In their <a href="https://isr.umd.edu/news/news_story.php?id=11281">upcoming 2018 AFOSR MURI subproject</a>, “Social Behavior Analysis and Control Based on MFG Framework,” Gelfand, Nau and their colleagues will use real-world data to look at ways mean-field game theory (MFG) could be used to analyze and validate models of human social norm dynamics.</p>
<p>A <a href="http://www.nature.com/articles/srep17963" rel="noopener noreferrer">2015 study</a> in the journal <em>Nature Scientific Reports</em> suggests increased mobility may help people to treat each other as individuals rather than as members of a defined social group. The work suggests that mobility counteracts the tendency of populations to become more ethnocentric—or prone to favor members of their own ethnic, tribal or national group while being hostile to other groups—over time. <a href="https://isr.umd.edu/news/news_story.php?id=9450">Learn more in the ISR news story</a>.</p>
<p><a href="http://rspb.royalsocietypublishing.org/lookup/doi/10.1098/rspb.2013.2661" rel="noopener noreferrer">A 2013 study</a> appearing the <em>Proceedings of the Royal Society B</em> suggests that the stronger a community’s social ties and the longer most people stay within the community, the more likely it is that otherwise uninvolved third parties will step forward to punish their neighbors. <a href="https://isr.umd.edu/news/news_story.php?id=7832">Learn more in the ISR news story.</a></p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/21342018-09-11T13:30:57-04:002018-09-11T13:30:57-04:00https://talks.cs.umd.edu/talks/2134ISR Seminar: Applied Category Theory: Mathematics for Interdisciplinary systems modelingDavid Spivak - Massachusetts Institute of Technology<br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">1146 A.V. Williams Building (AVW)</a><br>Friday, September 28, 2018, 2:00-3:30 pm<br><br><b>Abstract:</b> <div>
<p>Effective interoperation between multiple scientific disciplines is crucial to systems engineering. Can the study of interoperability—the working negotiations and hand-offs between theories and models—itself be made into a hard science? Hard sciences are based on mathematics, so this would require a mathematics of interoperability, a mathematics whose subject consists of the bridges and analogies that make data- and model-integration actually work. I propose that category theory serves this purpose exceptionally well.</p>
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<p>In this talk, I will give evidence for the above claim, and without assuming the audience has seen any category theory before. I will focus on operads, which offer a framework for various forms of compositionality. In particular, I will discuss how operads model the interconnection of dynamical systems, provide a new method for solving systems of nonlinear equations, and explain how these two issues are connected category-theoretically. Finally, I'll explain how all this fits into a larger mathematical approach to interdisciplinarity.</p>
</div><br><b>Bio:</b> <p><span style="font-size: 10.5pt; color: black;">David Spivak received a BS in mathematics from University of Maryland, College Park, and then a PhD in mathematics from UC Berkeley in 2007; his thesis was in algebraic topology. For the next three years he was a post doc in the math department at the University of Oregon. During this time his focus moved toward applications of category theory in science and engineering. Since 2010, he has continued this research as a post doc, and then research scientist, in the math department at MIT.</span></p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/22492019-01-29T19:57:51-05:002019-01-29T19:57:51-05:00https://talks.cs.umd.edu/talks/2249Special ISR seminar: Computational engineering enabled by implicit modellingBradley bRothenberg - nTopology<br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">1146 A.V. Williams Building (AVW)</a><br>Friday, February 1, 2019, 11:00 am-12:00 pm<br><br><b>Abstract:</b> <p>Host: Bill Regli</p>
<p>Engineering is—and always has—encompassed a generative component, however computation is ultimately what allows us to solve the next generation of engineering problems via technology like implicit modelling. Capturing engineering knowledge/process & locking it down via digitization is key to scalability across teams & key to responding in real time to changes. Especially with advanced manufacturing & the increasing importance of large datasets, engineering process are becoming more & more difficult to understand with disconnected tools & impossible to automate due to fragile underlying data structures. Implicit modelling provides the robust underlying data model to build scalable engineering processes on top of & built for automation from the start.</p><br><b>Bio:</b> <p>Bradley Rothenberg is the CEO & founder of nTopology, a startup developing algorithmic computer aided engineering/design software based in New York City. Prior to founding nTopology, he was working on high performance 3D-printed mirrors with embedded cooling channels. Bradley studied architecture at Pratt Institute in Brooklyn, New York. Brad has been developing computational design tools for advanced manufacturing for the last 10+ years.</p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/22562019-02-06T13:58:07-05:002019-02-06T13:58:07-05:00https://talks.cs.umd.edu/talks/2256Information session: Lockheed Martin AlphaPilot dracing competition<a href="http://HeroX.com/alphapilot">Lockheed Martin - Lockheed Martin</a><br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=KEB">1110 Jeong H. Kim Engineering Building (KEB)</a><br>Tuesday, February 12, 2019, 5:00-7:00 pm<br><br><b>Abstract:</b> <p>Learn more about the Lockheed Martin AlphaPilot dracing competition at this special information session.</p>
<p>AlphaPilot is paving the way for autonomous drone racing. We're partnering with The Drone Racing League and NVIDIA to proide the best computing, fastest drones, and most exciting venues possible.</p>
<p><strong>The Challenge</strong><br>Develop artificial intelligence capable of flying a drone without any human intervention or navigational pre-programming.</p>
<p><strong>Team up and sign up</strong><br>Teams can have up to 10 members (18+) in any combination of students, professors, government or industry employees. Register your team at <a href="http://herox.xom/alphapilot">HeroX.com/alphapilot.</a></p>
<p><strong>The drone</strong><br>Onboard Jetson GPU<br>Multiple sensor inputs<br>Inertial measurement units with Beta Flight</p>
<p><strong>Development kit</strong><br>AI/machine learning simulator<br>Course and drone models<br>Drone hardware fixtures for testing<br>Sample code<br>Historical drone telemetry from DRL events</p>
<p><strong>Course data</strong><br>Infrared fiducial guidance<br>Optimized lighting +<br>Course maps released in advance</p>
<p><strong>Timeline</strong><br>Nov. 2018–Feb. 2019 Form teams and register<br>Feb.–March 2019 Qualification round; final teams down selected<br>May–July 2019 Team mentoring and workshops<br>Late summer 2019 Drones race through DRL's new AIRR circuit</p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/23002019-03-08T14:16:39-05:002019-03-08T14:16:39-05:00https://talks.cs.umd.edu/talks/2300Info Session: National Security Research Fellowship ProgramRay Adomaitis - ISR and CheBE<br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">2460 A.V. Williams Building (AVW)</a><br>Wednesday, March 13, 2019, 12:00-1:00 pm<br><br><b>Abstract:</b> <div>Professor Ray Adomaitis will be presenting information on a new ISR initiative, the National Security Research Fellowship Program.</div>
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<div>This program will help to recruit, mentor and educate the next generation of science and technology professionals for national security positions. It hopes to attract and retain students into advanced scientific education programs. <strong>You must be a U.S. citizen to participate in this program.</strong></div>
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<p>Fellowship programs are being developed for both undergraduate and PhD students and will be supported by a combination of industrial sponsors and federal agencies. One- and two-year programs at the undergraduate level will allow students to perform research on topics relevant to the sponsors, with an internship with the sponsor between the junior and senior years. Students will be paid at an hourly rate competitive with the best industrial internships. </p>
<p>ISR is looking to launch the undergraduate program in Fall 2019, followed by the PhD-level program at a future time.</p>
<p>Pizza will be served!</p>
</div><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/23422019-04-23T11:33:28-04:002019-04-23T11:33:28-04:00https://talks.cs.umd.edu/talks/2342ISR Seminar: Volumetric Representations: The Geometric Modeling of the Next GenerationGershon Elber - Professor of Computer Science, Israel Institute of Technology (The Technion)<br><a href="https://maps.umd.edu/map/index.html?Nav=Hide&MapView=Detailed&NoWelcome=True&LocationType=Building&LocationName=432">3137 Brendan Iribe Center for Computer Science and Engineering (IRB)</a><br>Friday, May 10, 2019, 11:00 am-12:00 pm<br><br><b>Abstract:</b> <p> </p>
<p class="MsoNormal">The needs of modern additive manufacturing (AM) technologies can no longer be satisfied by boundary representations (B-reps), as AM requires the representation and manipulation of interior fields and materials. While the need for a tight coupling between design and analysis has been recognized as crucial almost since geometric modeling (GM) was conceived, contemporary GM systems only offer a loose link between the two, if at all.</p>
<p class="MsoNormal">For about half a century, trimmed Non Uniform Rational B-spline (NURBs) surfaces have been the B-rep of choice for virtually all the GM industry. Fundamentally, B-rep GM has evolved little during this period. In this talk, we seek to examine an extended trimmed NURBs volumetric representation (V-rep) that successfully confronts the existing and anticipated design, analysis, and manufacturing foreseen challenges. We extend all fundamental B-rep GM operations, such as primitive and surface constructors and Boolean operations, to trimmed trivariate V-reps. This enables the much-needed tight link to Isogeometric analysis on one hand and the full support of heterogeneous and anisotropic additive manufacturing on the other.</p>
<p class="MsoNormal">Time permitting, special capabilities toward the support of Isogeometric analysis will be presented, that enable robust queries over the V-reps, including precise contact analysis, maximal penetration depth, and accurate integration over trimmed domains. Examples and other applications of V-rep GM, including AM and lattice- and micro- structure synthesis with heterogeneous materials also will be demonstrated.</p>
<p><span style="font-size: 12.0pt; line-height: 150%; font-family: Times; ">In collaboration with many others, including Ben Ezair, Fady Massarwi, Boris van Sosin, Jinesh Machchhar, Annalisa Buffa, Giancarlo Sangalli, Pablo Antolin, and Massimiliano Martinelli.</span></p>
<p></p><br><b>Bio:</b> <p> </p>
<p class="MsoNormal">Gershon Elber is a professor in the Computer Science Department at the Israel Institute of Technology (the Technion). His research interests span computer-aided geometric designs and computer graphics. Elber received a BSc in computer engineering and an MSc in computer science from the Technion in 1986 and 1987, respectively, and a PhD in computer science from the University of Utah in 1992. He is a member of SIAM and the ACM. He was a Visiting Professor at the University of Washington and at Boeing (2006-2007) and MIT (2018). He founded GeomCore, a geometry-related company, in his sabbatical in 2000.</p>
<p class="MsoNormal">Elber has served on the editorial board of the Computer Aided Design, Computer Graphics Forum, The Visual Computer, Graphical Models, and the International Journal of Computational Geometry & Applications and has served in many conference program committees including Solid Modeling, Shape Modeling, Geometric Modeling and Processing, Pacific Graphics, Computer Graphics International, and Siggraph. Elber was one of the paper chairs of Solid Modeling 2003 and Solid Modeling 2004, one of the conference chairs of Solid and Physical Modeling 2010, the chair of GDM 2014, the conference co-chair of SIAM GD/SPM 2015, and the conference co-chair of SPM 2018.</p>
<p class="MsoNormal">He has published over 200 papers in international conferences and journals, presented 10 keynote invited talks, and is one of the authors of “Geometric Modeling with Splines—An Introduction.” Elber received the Ray and Miriam Klein Technion Research Award in 1998; the Hershel Rich Technion Innovation Award in both 2002 for “Virtual Marionettes—Remote Collaboration Animation and Interaction,” and in 2019 for “Volumetric Modeling Solutions”; the CodeArt award in 2003 (National Art in Computing Contest, third place); the John Gregory Memorial Award in 2011, for “Appreciation for Outstanding Contributions in Geometric Modeling”; and the Solid Modeling Association Pioneers Award in 2016.</p>
<p><span style="font-size: 12.0pt; line-height: 150%; font-family: Times; ">Elber was the vice dean for computing and the vice dean for teaching in the Computer Science Department at the Technion from 1997-1999 and 2002-2004, respectively, and was the deputy vice president for computing for the Technion from 2010-2013. Elber can be reached at the Technion, Israel Institute of Technology, Department of Computer Science, Haifa 32000, ISRAEL. Email: gershon@cs.technion.ac.il, Fax: 972-4-829-5538.</span></p>
<p></p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/23432019-04-23T11:52:41-04:002019-04-23T11:52:41-04:00https://talks.cs.umd.edu/talks/2343ANC/MTI Distinguished Lecture: Making Intersections Safe with I2V CommunicationsPravin Varaiya - Professor of the Graduate School, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley<br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">1146 A.V. Williams Building (AVW)</a><br>Thursday, May 2, 2019, 11:00 am-12:00 pm<br><br><b>Abstract:</b> <p> </p>
<p class="MsoNormal">Host: John Baras</p>
<p class="MsoNormal"><span style="font-size: 12.0pt; line-height: 150%; font-family: Times; ">Intersections are hazardous places. Threats arise from interactions among pedestrians, bicycles and vehicles, more complicated vehicle trajectories in the absence of lane markings, phases that prevent determining who has the right of way, invisible vehicle approaches, vehicle obstructions, and illegal movements. These challenges are not fully addressed by the “road diet” and road redesign prescribed in Vision Zero plans, nor will they be completely overcome by autonomous vehicles with their many sensors and tireless attention to surroundings. Accidents can also occur because drivers, cyclists and pedestrians do not have the information they need to avoid wrong decisions. In these cases, the missing information can be computed and broadcast by an intelligent intersection. The information gives the current full signal phase, an estimate of the time when the phase will change, and the occupancy of the blind spots of the driver or autonomous vehicle. We develop a design of the intelligent intersection, motivated by the analysis of an accident at an intersection in Tempe, AZ, between an automated Uber Volvo and a manual Honda CRV and culminates in a proposal for an intelligent intersection infrastructure. The intelligent intersection also serves as a software-enabled version of the ‘protected intersection’ design to improve the passage of cyclists and pedestrians through an intersection.</span></p>
<p></p><br><b>Bio:</b> <p><span style="font-size: 12.0pt; line-height: 150%; font-family: Times; ">Pravin Varaiya is a Professor of the Graduate School in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley.<span> </span>He has been a Visiting Professor at the Institute for Advanced Study at the Hong Kong University of Science and Technology since 2010.<span> </span>He has co-authored four books and 350+ articles.<span> </span>His current research is devoted to transportation networks and electric energy systems.<span> </span>Varaiya has held a Guggenheim Fellowship and a Miller Research Professorship.<span> </span>He has received three honorary doctorates, the Richard E. Bellman Control Heritage Award, the Field Medal and Bode Lecture Prize of the IEEE Control Systems Society, and the Outstanding Researcher and Lifetime Achievement Awards from the IEEE Intelligent Transportation Systems Society. He is a Fellow of IEEE, a Fellow of IFAC, a member of the National Academy of Engineering, and a Fellow of the American Academy of Arts and Sciences.</span></p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/23442019-04-23T11:58:02-04:002019-04-23T11:58:02-04:00https://talks.cs.umd.edu/talks/2344ISR/MTI Distinguished Lecture: "Regulating TNCs"Pravin Varaiya - Professor of the Graduate School, Department of Electrical Engineering and Computer Sciences, University of California, Berkeley<br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">1146 A.V. Williams Building (AVW)</a><br>Friday, May 3, 2019, 11:00 am-12:00 pm<br><br><b>Abstract:</b> <p><strong>Host:</strong> John Baras</p>
<p><span style="font-size: 13.0pt; line-height: 150%; font-family: Times; color: #222222; ">We evaluate the impact of proposed regulations of transportation network companies (TNCs) like Uber, Lyft and Didi: (1) a minimum wage for drivers, (2) a cap on the number of drivers or vehicles, (3) a congestion surcharge. The impact is assessed using a queuing theoretic equilibrium model, which incorporates the stochastic dynamics of the app-based ride-hailing matching platform, the ride prices and driver wages established by the platform, and the incentives of passengers and drivers. We show that a floor placed under driver earnings pushes the ride-hailing platform to hire more drivers, at the same time that passengers enjoy faster and cheaper rides, while platform rents are reduced. Contrary to standard economic theory, enforcing a minimum wage for drivers benefits both drivers and passengers, and promotes the efficiency of the entire system. This surprising outcome holds for a large range of model parameters, and it occurs because the quality of service measured by passenger pickup time improves as the number of drivers increases. In contrast to a wage floor, imposing a cap on the number of vehicles hurts drivers, because the platform reaps all the benefits of limiting supply. We also construct variants of the model to discuss platform subsidy, platform competition, and autonomous vehicles.</span></p><br><b>Bio:</b> <p><span style="font-size: 12.0pt; line-height: 150%; font-family: Times; ">Pravin Varaiya is a Professor of the Graduate School in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley.<span> </span>He has been a Visiting Professor at the Institute for Advanced Study at the Hong Kong University of Science and Technology since 2010.<span> </span>He has co-authored four books and 350+ articles.<span> </span>His current research is devoted to transportation networks and electric energy systems.<span> </span>Varaiya has held a Guggenheim Fellowship and a Miller Research Professorship.<span> </span>He has received three honorary doctorates, the Richard E. Bellman Control Heritage Award, the Field Medal and Bode Lecture Prize of the IEEE Control Systems Society, and the Outstanding Researcher and Lifetime Achievement Awards from the IEEE Intelligent Transportation Systems Society. He is a Fellow of IEEE, a Fellow of IFAC, a member of the National Academy of Engineering, and a Fellow of the American Academy of Arts and Sciences.</span></p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/24512019-11-04T09:45:36-05:002019-11-04T09:45:36-05:00https://talks.cs.umd.edu/talks/2451Communication, Control and Signal Processing Seminar: Xiaodi Wu, "Quantum query complexity of entropy estimation"Xiaodi Wu - Assistant Professor, Department of Computer Science<br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">2168 A.V. Williams Building (AVW)</a><br>Thursday, November 7, 2019, 5:00-6:30 pm<br><br><b>Abstract:</b> <table>
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<p><strong>Communication, Control and Signal Processing Seminar</strong></p>
<p><span style="font-size: medium;">Quantum query complexity of entropy estimation</span></p>
<p><strong>Xiaodi Wu<br></strong>Assistant Professor<br>Department of Computer Science<br>University of Maryland<strong><br></strong></p>
<p><strong>Abstract</strong> <br>Estimation of Shannon and R{'e}nyi entropies of unknown discrete distributions is a fundamental problem in statistical property testing and an active research topic in both theoretical computer science and information theory. Tight bounds of the number of samples to estimate these entropies have been established in the classical setting, while little is known about their quantum counterparts. In this talk, I will show quantum algorithms for estimating $\alpha$-R{'e}nyi entropies (Shannon entropy being 1-Renyi entropy). In particular, I will demonstrate a quadratic quantum speedup for Shannon entropy estimation and a generic quantum speedup for $\alpha$-R{'e}nyi entropy estimation for all $\alpha$>0, including a tight bound for the collision-entropy (2-R{'e}nyi entropy) and also an analysis for the min-entropy case (i.e., $\alpha$ = +infinity). This talk is based on joint work with Tongyang Li.</p>
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<p> </p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/26942020-10-23T12:06:24-04:002020-10-23T12:06:24-04:00https://talks.cs.umd.edu/talks/26942020 Conference on Decision and Game Theory for SecurityVarious speakers - International<br><a href="http://www.umd.edu/CampusMaps/bld_detail.cfm?bld_code=AVW">0000 A.V. Williams Building (AVW)</a><br>Monday, October 26, 2020, 10:30 am-2:00 pm<br><br><b>Abstract:</b> <p>You are invited to participate—free of charge—in all or part of the 2020 <a href="https://www.gamesec-conf.org/index.php">Conference on Decision and Game Theory for Security</a>. “GameSec 2020” will be hosted online by the University of Maryland and will run for the entire week of October 26-30, 2020. Each day’s proceeding will be from 10:30 am to 2:00 pm Eastern Time. You can view the full program <a href="https://www.gamesec-conf.org/program.php">here</a>.</p>
<p><strong>Registration is free, but you must register <a href="https://forms.gle/EBrDdYeE9ex3EUZW7">here</a> to receive the Zoom link to the webinar proceedings.</strong></p>
<p>The conference proceedings will be published by Springer as part of the LNCS series. This is the second time the University of Maryland is hosting this prestigious conference; the first time was in 2011. Distinguished University Professor John Baras and his former student, Professor Radha Poovendran of the University of Washington, are the general chairs of the conference.</p><br><b>Bio:</b> <p><strong>About GameSec 2020</strong></p>
<p>Cybersecurity is a major challenge of today’s connected world as we are becoming increasingly connected by the recent advances in information and communication technologies. This challenge is exacerbated by the ubiquitous digitalization is affecting every aspect of society, life and work. Traditional ways to address network security issues rely on cryptography, firewalls, and intrusion detection systems. As attackers are becoming more and more sophisticated, these solutions are not sufficient to guarantee the security of the network. There is an inevitable need to shift to a new security paradigm where security solutions take into account the strategic behaviors and the constraints on the attack-and-defense resources. We need to understand the fundamental tradeoffs in the design of secure systems instead of hoping for a panacea that can be effective in all security scenarios. Game theory is a mathematical science that studies strategic interaction among rational decision-makers. It can naturally capture the competitive and strategic behaviors between an attacker and a defender, and a promising baseline framework for the analysis and design of system security. In the past years, we have witnessed the success of applications of game theory to multiple security domains, including wireless community, cloud computing, industrial control systems, Internet of Things, and national homeland security. This year’s GameSec conference is a continuing celebration of this success.</p>
<p>Due to COVID19, this conference is the first virtual conference since GameSec was inaugurated in 2010 in Berlin, Germany. The previous conferences were held in College Park (Maryland, USA, 2011), Budapest (Hungary, 2012), Fort Worth (Texas, USA, 2013), Los Angeles (USA, 2014), London (UK, 2015), New York (USA, 2016), Vienna (Austria, 2017), and Seattle (Washington, USA, 2018). For the past 11 years, GameSec has been widely recognized as a prominent venue for interdisciplinary research in security and privacy.</p>
<p>The conference program this year includes 21 full paper presentations and 2 short papers. We have seen the applications of game theory to security issues in cyber-physical systems, computer networks, and machine learning. One special session of this conference is on the confluences between machine learning and game theory for cybersecurity. The presented papers not only explore new attack mechanisms but also aim to develop defense solutions to deter and mitigate the attacks. Another session of this conference is on the theoretical foundations of security games. Presentations in this session discuss new modeling frameworks, analytical methods, and algorithmic solutions that bridge cognitive science, decision and control theory, data science, and network science to solidify the foundations of security games.</p>
<p>An additional special feature of this year’s program for GameSec are several invited papers and presentations. The purpose of these invited lectures is to provide to the GameSec participants a broader and richer set of problems and challenges, where interdisciplinary research involving security, trust, privacy and various forms of game theory holds great promise.</p>
<p>Thanks to the support of the National Science Foundation, New York University, and the University of Maryland, we are able to make this conference this year completely free of charge, allowing students and researchers from all over the world to participate in the discussions of research. We sincerely hope that this conference will continue to bridge between theory and practice and offer useful resources for cybersecurity practitioners and researchers.</p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/35762023-08-28T09:12:06-04:002023-08-28T09:12:06-04:00https://talks.cs.umd.edu/talks/3576KTH Seminar with John Baras: Systems Engineering Methodology for Healthcare Information Highways, Hospital Management, Disease Biology and Modern Pharmaceuticals<a href="https://isr.umd.edu/clark/faculty/357/John-S-Baras">John Baras - ISR/ECE</a><br>Zoom<br>Wednesday, August 30, 2023, 7:00-10:00 am<br><br><b>Abstract:</b> <p>Wednesday, August 30, 2023<br>7:00 a.m.<br>Online presentation from KTH in Sweden<br><a href="https://www.digitalfutures.kth.se/event/systems-engineering-methodology-for-healthcare-information-highways-hospital-management-disease-biology-and-modern-pharmaceuticals/">https://www.digitalfutures.kth.se/event/systems-engineering-methodology-for-healthcare-information-highways-hospital-management-disease-biology-and-modern-pharmaceuticals/</a></p>
<p> </p>
<p>Systems Engineering Methodology for Healthcare Information Highways, Hospital Management, Disease Biology and Modern Pharmaceuticals</p>
<p><strong>John Baras<br></strong>Distinguished University Professor<br>Lockheed Martin Chair in Systems Engineering<br>Institute for Systems Research<br>Electrical and Computer Engineering Department<br>University of Maryland</p>
<p><strong>Zoom presentation live from KTH in Sweden.</strong></p>
<p><strong>Zoom: <a href="https://kth-se.zoom.us/j/69560887455">https://kth-se.zoom.us/j/69560887455</a></strong><br><strong>Meeting ID: 695 6088 7455</strong><br><strong>Password: 755440</strong></p>
<p><strong>Abstract</strong><br>A rigorous Model-Based Systems Engineering (MBSE) methodology and its application to several problems related to Systems Healthcare, Systems Medicine and Systems Biology.</p>
<p>First, we develop an Information Highway for Health Care Management Systems with Diabetes Mellitus as the driving example. We describe the desired architecture of such systems. We include a Controlled Hidden Markov Chain model for diabetes disease progression with three states, three diagnostic tests, ten interventions, three types of patients. We develop three methods for computing tradeoffs between health care cost and health care quality. We demonstrate the powerful capabilities of such a framework via examples and problems of practical healthcare significance.</p>
<p>Next, we develop a methodology and framework for managing Intensive Care Units (ICU) and hospitals, that integrates financial modeling, patient flow, and progression of patient condition. Model parameters were estimated from data. We describe sensitivity analysis to demonstrate themodel’s usefulness. We show specific examples for the care of patients with severe traumatic brain injury (STBI) in an ICU. The approach can be applied in many other use cases and settings.</p>
<p>Then, we describe a Systems Biology model for Alzheimer’s disease that integrates the interactions between neurons, astrocytes, microglia, brain endothelial cells, blood circulation in the brain. The model allows, via simulations, to study pathological changes that are observed in the brains of AD patients, including diffuse beta amyloid (Aβ) plaques, hyper-phosphorylated TAU protein that disrupts axonal transport, neuroinflammation and mitochondrial dysfunction, effects of lipid metabolism and cholesterol levels in the brain and plasma.</p>
<p>We also describe our initial ideas and most recent developments of “Lab-on-a-chip”, including in-vivo cells of human organs. One goal is to study the side effects of specific medicines for a disease classified according to human phenotypes (for precision medicine and pharma).</p>
<p>We close with current efforts to integrate data-driven (i.e. ML and AI) and model-based systems engineering methods in many use cases.</p>
<p> </p><br><b>Bio:</b> <p>ohn S. Baras is a Distinguished University Professor holding the Lockheed Martin Chair in Systems Engineering with the Institute for Systems Research (ISR) and the ECE Department at the University of Maryland College Park. He received his Ph.D. degree in Applied Mathematics from Harvard University, in 1973, and he has been with UMD since then. From 1985 to 1991, he was the Founding Director of the ISR. Since 1992, he has been the Director of the Maryland Center for Hybrid Networks (HYNET), which he co-founded.</p>
<p>He is a Fellow of IEEE (Life), SIAM, AAAS, NAI, IFAC, AMS, AIAA, Member of the National Academy of Inventors (NAI) and a Foreign Member of the Royal Swedish Academy of Engineering Sciences (IVA). Major honors and awards include the 1980 George Axelby Award from the IEEE Control Systems Society, the 2006 Leonard Abraham Prize from the IEEE Communications Society, the 2017 IEEE Simon Ramo Medal, the 2017 AACC Richard E. Bellman Control Heritage Award, and the 2018 AIAA Aerospace Communications Award. In 2016 he was inducted in the University of Maryland Clark School of Engineering Innovation Hall of Fame.</p>
<p>In June 2018 he was awarded a Doctorate Honoris Causa by his alma mater the National Technical University of Athens, Greece. He has mentored 101 doctoral students, 135 MS students and 70 postdoctoral fellows, who have gone to excellent careers in industry, academia and government. His research interests include systems, control, optimization, autonomy, machine learning, artificial intelligence, communication networks, applied mathematics, signal processing and understanding, robotics, computing systems, formal methods and logic, network security and trust, systems biology, healthcare management, model-based systems engineering. He has been awarded nineteen patents, one software copyright, and honored with many awards world-wide, as innovator and leader of economic development.</p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>tag:talks.cs.umd.edu,2005:Talk/35842023-09-07T14:19:33-04:002023-09-07T14:19:33-04:00https://talks.cs.umd.edu/talks/3584Workshop on New Frontiers in Networked Dynamical Systems: Assured Learning, Communication & ControlSlate of speakers - Various<br>Zupnik Forum, Clark Hall<br>Friday, October 13, 2023, 9:00 am-7:00 pm<br><br><b>Abstract:</b> <p>This two-day workshop (Oct. 13-14), preceded by a welcome reception the evening of Oct. 12, will explore new frontiers in modeling, learning and control of interconnected dynamical systems comprising humans, machines, and physical infrastructures.</p>
<p>With the advent of ubiquitous connectivity, large-scale data collection, and the remarkable successes of data-driven artificial intelligence in recent years, we have come to a turning point. The time is ripe to consider how advanced data-driven AI technology will impact networked dynamical systems involving both human and machine agents together with physical infrastructure.</p>
<p>The workshop will involve experts and leaders from academia, government and industry, and will comprise invited talks, panel discussions, and brainstorming sessions. Key questions will revolve around assured learning, communication, and control of large-scale highly-interconnected dynamical systems, and safe and effective design and operation of hybrid human-cyber-physical systems. Striking the right balance between data-driven innovations and systematic design will also be an important part of the conversation. These topics are highly relevant for NSF and ARO programs and initiatives in the broad area of AI-enabled systems. The symposium aims to develop consensus on promising research directions in trustworthy learning methods and foundational science to guide the design of complex cyber-physical systems involving both humans and machines.</p>
<p>The outcomes of the symposium will help inform government and industry stewards/stakeholders about key future directions and grand challenges in this important area that will directly impact the nation's competitiveness and security in the coming decades.</p>
<p>If you are interested in <strong>participating</strong> in the program, please contact Xiaobo Tan <a href="mailto:xbtan@egr.msu.edu" rel="noopener">xbtan@egr.msu.edu</a> for technical program questions.</p>
<p>If you have <strong>general questions</strong> about the event, contact Mingyan Liu <a href="mailto:mingyan@umich.edu" rel="noopener">mingyan@umich.edu</a> or Nikos Sidiropoulos <a href="mailto:nikos@virginia.edu" rel="noopener">nikos@virginia.edu</a><a href="mailto:mingyan@umich.edu" rel="noopener">.</a></p>
<p><em><strong>How to attend</strong></em><strong><br><br></strong>This event is free of charge, but capacity is limited at the venue and <strong><a href="https://sites.google.com/virginia.edu/wshop-net-dynamical-systems/venue-registration-and-hotel">registration is required</a></strong>. Please register as soon as you know you plan to attend. The organizers reserve the right to cap registration once the capacity limit is reached. <strong><a href="https://sites.google.com/virginia.edu/wshop-net-dynamical-systems/venue-registration-and-hotel">Register here</a></strong>. </p>
<p><em><strong>Sponsors<br></strong></em></p>
<p>This workshop is sponsored by the National Science Foundation, the Army Research Office, the Institute for Systems Research, and the Clark School of Engineering.</p>
<p> </p><br>This talk is part of the following lists: <a href="https://talks.cs.umd.edu/lists/25">ISR</a><br>