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The Department of Computer Science
of Colorado State University, in cooperation with ISTeC
(Information Science and Technology Center), offers the CS
Colloquium series as a service to all who are interested
in computer science. Most seminars are scheduled for
Monday 11:00 AM -- 11:50 AM in CSB 130 or Morgan Library
Event Hall. For help finding the locations of our seminar
meetings, consult the on-line CSU campus map. |
CS Colloquium Schedule, Fall 2019
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Computer Science Department Colloquium The CS Graduate Program at CSU Speaker: Sanjay Rajopadhye, Professor, Graduate Director, Department of Computer Science, Colorado State University When: 11:00AM ~ 11:50AM, Monday August 26, 2019  Abstract: This is an informational talk about the Computer Science Graduate Program. I will cover department policies and rules, and also general tips about how succeed in your professional journey. Although targeted for entering graduate students, old timers may find useful tips on funding opportunities, and research paths. |
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Computer Science Department Colloquium Static Code Analysis for Android: GUIs, Callbacks, and Beyond Speaker: Atanas Rountev, Professor, Department of Computer Science and Engineering, The Ohio State University When: 2:00PM ~ 2:50PM, Monday August 26, 2019 Contact: Louis-Noel Pouchet, CS Abstract: Android devices are used by billions of users. To improve the quality of Android apps and the productivity of their developers, researchers need to develop new algorithms for analysis of app code. Traditional analyses cannot be directly used for Android because the apps are framework-based and event-driven. This talk describes recent advances in solving key code analysis problems for Android. First, we describe a new analysis to model GUI-related objects and the actions of their event handlers. The resulting control-flow model was subsequently used for test generation, detection of energy-drain defects, and responsiveness profiling. We also discuss generalizations of the analysis to wearable devices (e.g., smartwatches). The talk will outline these techniques and their role as building blocks for analysis, testing, and profiling of Android and Android Wear apps. Bio: Atanas (Nasko) Rountev is a Professor in the Department of Computer Science and Engineering at Ohio State University. His research is in software analysis, testing, and optimization. His recent work has been focused on Android apps. He has served on the committees of over 30 conferences and workshops, and currently is a member of the editorial board of ACM TOSEM. He is a recipient of an NSF CAREER Award, a Lumley Research Award from Ohio State University, research awards from IBM and Google, and an ACM SIGSOFT distinguished paper award. |
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Computer Science Department Colloquium CS Faculty Rapid-Fire Presentations of Current Research | Group A Speaker: Laura Moreno Cubillos, Joe Gersch, Sudipto Ghosh, Yashwant Malaiya, Sangmi Pallickara, Shrideep Pallickara, Craig Partridge, Sanjay Rajopadhye, Indrakshi Ray, Department of Computer Science, Colorado State University When: 11:00AM ~ 11:50AM, Monday September 9, 2019 Abstract: CS Faculty briefly present their research. Group B is scheduled for September 30, 2019. Video 1 Video 2 |
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ISTeC Distinguished Lecture in conjunction with the Computer Science Department and the Electrical and Computer Engineering Department Seminar Series The Age of Information: Status Updates for Real-time Systems Speaker: Roy Yates, Distinguished Professor, WINLAB, Electrical and Computer Engineering, Rutgers University When: 11:00AM ~ 11:50AM, Monday September 16, 2019 Contact: Rockey Luo, Jie.Luo@ColoState.EDU Abstract: Increasingly ubiquitous network connectivity has engendered applications in which sources such as environmental sensors, video cameras, and autonomous vehicles send updates of their status to interested recipients. These applications require timely status updates at the recipients; however, this is typically constrained by limited communication and network resources. In this work, we formulate an Age-of-Information (AoI) timeliness metric for the evaluation of status update systems and we characterize the AoI requirements of a range of real-time applications. We derive general methods for calculating the AoI metric that we apply to system abstractions of sources, monitors, networks, and edge cloud processors. We identify optimal updating policies based on the bandwidth and energy constraints of the senders and system. We observe that optimal updating policies can be counter- intuitive and differ from the throughput ⁄ delay tradeoffs that typically describe low latency networking. Bio: Roy D. Yates received the B.S.E. degree in 1983 from Princeton University, and the S.M. and Ph.D. degrees in 1986 and 1990 from M.I.T., all in Electrical Engineering. Since 1990, he has been with the Wireless Information Networks Laboratory (WINLAB) and the Electrical and Computer Engineering (ECE) department at Rutgers University where he is currently a Distinguished Professor. He is an author of three editions of the John Wiley textbook “Probability and Stochastic Processes: A Friendly Introduction for Electrical Engineers.” An IEEE Fellow in 2011, Dr. Yates is a past associate editor of the IEEE Journal on Selected Areas of Communication Series in Wireless Communication and also a past Associate Editor for Communication Networks of the IEEE Transactions on Information Theory. His research interests include wireless communication and timely updating. |
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ISTeC Distinguished Lecture in conjunction with the Computer Science Department and the Electrical and Computer Engineering Department Seminar Series Quo Vadis Digital Microfluidic Biochips? From Laboratory Research to Commercialization and Beyond Speaker: Krishnendu Chakrabarty, John Cocke Distinguished Professor and Chair, Department of Electrical and Computer Engineering, Duke University When: 11:00AM ~ 11:50AM, Monday September 23, 2019 Contact: Sudeep Pasricha, ECE Abstract: Increasingly ubiquitous network connectivity has engendered applications in which sources such as environmental sensors, video cameras, and autonomous vehicles send updates of their status to interested recipients. These applications require timely status updates at the recipients; however, this is typically constrained by limited communication and network resources. In this work, we formulate an Age-of-Information (AoI) timeliness metric for the evaluation of status update systems and we characterize the AoI requirements of a range of real-time applications. We derive general methods for calculating the AoI metric that we apply to system abstractions of sources, monitors, networks, and edge cloud processors. We identify optimal updating policies based on the bandwidth and energy constraints of the senders and system. We observe that optimal updating policies can be counter- intuitive and differ from the throughput ⁄ delay tradeoffs that typically describe low latency networking. Bio: Krishnendu Chakrabarty received the B. Tech. degree from the Indian Institute of Technology, Kharagpur, in 1990, and the M.S.E. and Ph.D. degrees from the University of Michigan, Ann Arbor, in 1992 and 1995, respectively. He is now the John Cocke Distinguished Professor and Department Chair of Electrical and Computer Engineering, and Professor of Computer Science, at Duke University. Prof. Chakrabarty is a recipient of the National Science Foundation CAREER award, the Office of Naval Research Young Investigator award, the Humboldt Research Award from the Alexander von Humboldt Foundation, Germany, the IEEE Transactions on CAD Donald O. Pederson Best Paper Award (2015), the ACM Transactions on Design Automation of Electronic Systems Best Paper Award (2017), and over a dozen best paper awards at major conferences. He is also a recipient of the IEEE Computer Society Technical Achievement Award (2015), the IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award (2017), the Semiconductor Research Corporation Technical Excellence Award (2018), the IEEE Test Technology Technical Council Bob Madge Innovation Award (2018), and the Distinguished Alumnus Award from the Indian Institute of Technology, Kharagpur. He is a Research Ambassador of the University of Bremen (Germany) and a Hans Fischer Senior Fellow at the Institute for Advanced Study, Technical University of Munich, Germany. He is a recipient of the Japan Society for the Promotion of Science (JSPS) Fellowship in the “Short Term S: Nobel Prize Level” category. Prof. Chakrabarty is a recipient of multiple IBM Faculty Awards and HP Labs Open Innovation Research Awards. Prof. Chakrabarty’s current research projects include: testing and design-for-testability of integrated circuits and systems; microfluidic biochips; hardware security; machine learning for fault diagnosis and failure prediction; neuromorphic computing systems. He is a Fellow of ACM, a Fellow of IEEE, a Fellow of AAAS, and a Golden Core Member of the IEEE Computer Society. He has served as a Distinguished Visitor of the IEEE Computer Society (2005-2007, 2010-2012), a Distinguished Lecturer of the IEEE Circuits and Systems Society (2006-2007, 2012-2013), and an ACM Distinguished Speaker (2008-2016). Prof. Chakrabarty served as the Editor-in-Chief of IEEE Design & Test of Computers during 2010-2012, ACM Journal on Emerging Technologies in Computing Systems during 2010-2015, and IEEE Transactions on VLSI Systems during 2015-2018. |
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Computer Science Department Colloquium CS Faculty Rapid-Fire Presentations of Current Research | Group B Speaker: Chuck Anderson, Asa Ben-Hur, Ross Beveridge, Nate Blanchard, Hamid Chitsaz, Ross McConnell, Francisco Ortega, Louis-Noel Pouchet, Vinayak Prabhu, Department of Computer Science, Colorado State University When: 11:00AM ~ 11:50AM, Monday September 30, 2019 Abstract: CS Faculty briefly present their research. Video 1 Video 2 |
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Computer Science Department Colloquium The Pros, the Cons, and the Future of Neural Networks with Human-like Internal Behavior Speaker: Nathaniel Blanchard, Assistant Professor, Department of Computer Science, Colorado State University When: 11:00AM ~ 11:50AM, Monday October 7, 2019 Abstract: Neural networks are biologically inspired at the component level, but otherwise lack biological behavior. A key area of deep learning research is the identification and elicitation of networks with increased biological influence. In this talk, I discuss the pros, cons, and future of my research matching the internal activation patterns from networks to the patterns from biological beings, over a shared set of stimuli. Neuroscience theory posits that the brain's visual system coarsely identifies broad object categories via neural activation patterns, with similar objects producing similar neural responses. Artificial neural networks also have internal activation behavior in response to stimuli. We hypothesize that networks exhibiting brain-like activation behavior will demonstrate brain-like characteristics (e.g., stronger generalization capabilities). We introduce a human-model similarity (HMS) metric, which quantifies the similarity of human fMRI and network (internal) activation behavior. We test the metric on unsupervised predictive coding networks, which specifically model visual perception, and assess the metric for statistical significance over a large range of hyperparameters. Our experiments show that networks with increased human-model similarity are correlated with better performance on two computer vision tasks: next video frame prediction and object matching accuracy. Further, HMS identifies networks with high performance on both tasks. An unexpected secondary finding is that the metric can be employed during training as an early-stopping mechanism. Bio: Dr. Nathaniel Blanchard is an Assistant Professor in the Department of Computer Science at the Colorado State University. He and his students train and evaluate machine learning models for human-like generalization, working with images, language, and behavioral data. Dr. Blanchard received his Ph.D. from the University of Notre Dame, and his BA from Hanover College. |
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ISTeC Distinguished Lecture in conjunction with the Computer Science Department and the Electrical and Computer Engineering Department Seminar Series Augmented Reality as the Future of Personal Computing Speaker: Dr. Doug Bowman, Frank J. Maher Professor and Director of the Center for Human-Computer Interaction, Computer Science Department, Virginia Tech When: 11:00AM ~ 11:50AM, Monday October 14, 2019 Contact: Francisco Ortega, CS Abstract: Personal computing went through a revolution just over a decade ago with the introduction of the smartphone. In this talk, I will argue that we are on the cusp of another huge change in the way we consume and interact with information—that augmented reality (AR) has the potential to replace not only our smartphones, but also our tablets, our desktops, and our TVs. With its ability to display virtual content anywhere, integrated seamlessly with our view of the real world, AR can give us the information we want anytime, anywhere. But there are many research challenges to address before this vision can become a reality. Of course, the technology needs to get better. At the same time, though, we must also design effective methods for interacting with and managing AR content, and we must understand the effects of always-on AR on individuals and societies. Bio: Doug A. Bowman is the Frank J. Maher Professor of Computer Science and Director of the Center for Human-Computer Interaction at Virginia Tech. He is the principal investigator of the 3D Interaction Group, focusing on the topics of three-dimensional user interface design and the benefits of immersion in virtual environments. Dr. Bowman is one of the co-authors of 3D User Interfaces: Theory and Practice. He has served in many roles for the IEEE Virtual Reality Conference, including program chair, general chair, and steering committee chair. He also co-founded the IEEE Symposium on 3D User Interfaces (now part of IEEE VR). He received a CAREER award from the National Science Foundation for his work on 3D Interaction, and has been named an ACM Distinguished Scientist. He received the Technical Achievement award from the IEEE Visualization and Graphics Technical Committee in 2014. His undergraduate degree in mathematics and computer science is from Emory University, and he received his M.S. and Ph.D. in computer science from the Georgia Institute of Technology. |
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ISTeC Distinguished Lecture in conjunction with the Computer Science Department and the Electrical and Computer Engineering Department Seminar Series Immersive Analytics Beyond Visualization Speaker: Dr. Doug Bowman, Frank J. Maher Professor and Director of the Center for Human-Computer Interaction, Computer Science Department, Virginia Tech When: 3:00PM ~ 3:50PM, Monday October 14, 2019 Contact: Francisco Ortega, CS Abstract: Analyzing big data for actionable insights is one of today’s critical challenges in computing. Neither human analysts nor automated algorithms alone have the ability to answer subtle, deep questions from very large abstract datasets. Visualization of large datasets in virtual reality (VR) or augmented reality (AR) can help analysts spot trends and outliers, but visualization by itself is not sufficient either. In this talk, I will review research on the benefits of immersion for spatial data understanding and effective interaction methods for AR ⁄ VR. I’ll contrast immersive analytics with traditional visualization, and propose the concept of Immersive Space to Think (IST). In IST, human analysts use immersive virtual reality (VR) to view and organize data items such as documents. The immersive 3D environment becomes a cognitive affordance with nearly unlimited space so that the analysis process can be externalized. At the same time, analytic algorithms and data models support analysis by displaying information such as related data items, similarity or credibility estimates, and summaries. Finally, IST understands the semantics implied by observations of users and their interactions, and uses these to modify and guide the underlying algorithms. Based on the use case of analyzing the credibility of news, I’ll describe a broad research agenda to learn how to design effective IST systems and to gather evidence of the benefits of the IST approach.Bio |
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Computer Science Department Colloquium Automotive Intrusion Detection Systems: A Fail-Operational Perspective Speaker: Gedare Bloom, Assistant Professor, Department of Computer Science, College of Engineering and Applied Science, University of Colorado Colorado Springs When: 11:00AM ~ 11:50AM, Monday October 21, 2019 Contact: Indrakshi Ray, CS Abstract: The security of every vehicle on the road is necessary to ensure the safety of every person on or near roadways, whether a motorist, bicyclist, or pedestrian. Features such as infotainment, telematics, and driver assistance greatly increase the complexity of vehicles: top-of-the-line cars contain over 200 computers and 100 million lines of software code. With rising complexity comes rising costs to ensure safety and security. This talk discusses methods to improve vehicular security by detecting remotely launched cyber attacks against a moving automobile, and identifies challenges inherent in responding to those attacks in a manner that ensures the safety of humans in close proximity to the vehicle. The primary method of protection discussed is an in-vehicle network intrusion detection system (IDS). Bio: Dr. Gedare Bloom is an assistant professor in the Department of Computer Science at the University of Colorado Colorado Springs where he directs the Embedded Systems Security Lab. His research expertise is computer system security with particular focus on real-time embedded systems used in critical infrastructure that have measurable lifetimes in decades. The techniques he applies to solve problems along the hardware-software interface range from computer architecture, computer security, cryptography, operating systems, and real-time analysis. He is also a maintainer for the RTEMS open-source hard real-time operating system, which is used in robotics frameworks, unmanned vehicles, satellites and space probes, automotive, defense, building automation, medical devices, industrial controllers, and more. |
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ISTeC Distinguished Lecture in conjunction with the Computer Science Department and the Electrical and Computer Engineering Department Seminar Series Usability in Health and Medical Contexts Speaker: Dr. Kirk St. Amant, Professor and Eunice C. Williamson Endowed Chair of Technical Communication, School of Literatures and Languages, Louisiana Tech University When: 11:00AM ~ 11:50AM, Monday November 11, 2019 Abstract: In health and medical contexts, effective materials are those individuals can use easily and successfully. The process of designing materials to facilitate their use is known as “usability.” Achieving it involves addressing who will use materials, when, where, and how. Such complexities can be difficult to identify, but they are essential to creating products that meet audience expectations and needs. In this presentation, the speaker introduces attendees to what usability entails and how it can enhance the design of materials different audience – from patients to physicians – used in health and medical contexts. The speaker will present strategies for researching the usability-related expectations of different audiences in order to design effective (i.e., usable) materials for them. Attendees will learn basic concepts of what usability is as well as learn foundational research and design practices for revising or creating usable health and medical materials for different audiences. Bio: Kirk St.Amant is the Eunice C. Williamson Chair in Technical Communication and a member of the Center for Biomedical Engineering and Rehabilitation Science (CBERS) at Louisiana Tech University. He is also an Adjunct Professor of Health and Medical Communication with the University of Limerick in Ireland, a Guest Professor of Usability Studies with Southeast University in China, and an Adjunct Professor of User Experience Design with the University of Strasbourg in France. Additionally, Kirk serves as a Research Fellow with the U.S.-based non-profit Center for Assurance, Deterrence, Escalation, and Nonproliferation Science & Education (CADENSE) and as a Research Fellow ⁄ Expert in Residence with the Ghana-based non-profit African Centre for Science and International Security (AFRICSIS). He researches how cognitive processes affect the usability of technologies in health and medical contexts and in online education. Sponsoring Departments: English. |
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ISTeC Distinguished Lecture in conjunction with the Computer Science Department and the Electrical and Computer Engineering Department Seminar Series Examining Usability in International Health and Medical Contexts Speaker: Dr. Kirk St. Amant, Professor and Eunice C. Williamson Endowed Chair of Technical Communication, School of Literatures and Languages, Louisiana Tech University When: 4:00PM ~ 4:50PM, Monday November 11, 2019 Abstract: In health and medical contexts, effective materials are those individuals can use easily and successfully. The process of designing materials to facilitate their use is known as “usability.” Achieving it involves addressing who will use materials, when, where, and how. Such complexities can be difficult to identify, but they are essential to creating products that meet audience expectations and needs. This presentation will examine what usability entails in health and medical settings and how it can enhance the design of materials different audience – from patients to physicians – used in health and medical contexts. The presenter will also review how such factors can affect usability and design factors in different cultural and national health and medical contexts around the world. In covering these topics, the presenter will discuss strategies for researching the usability-related expectations of different audiences – both locally and internationally – interacting in health and medical settings in order to design effective (i.e., usable) materials for them. Attendees will learn how to apply concepts of usability to materials designed for use in different health and medical settings, both the local and the international. Attendees will also learn foundational research and design practices for revising or creating usable health and medical materials for different audiences. The objective is to provide participants with the foundational knowledge needed to identify and address expectations of usability according to different audiences using materials to access health and medical information or perform a health- or medical-related process. Bio: Kirk St.Amant is the Eunice C. Williamson Chair in Technical Communication and a member of the Center for Biomedical Engineering and Rehabilitation Science (CBERS) at Louisiana Tech University. He is also an Adjunct Professor of Health and Medical Communication with the University of Limerick in Ireland, a Guest Professor of Usability Studies with Southeast University in China, and an Adjunct Professor of User Experience Design with the University of Strasbourg in France. Additionally, Kirk serves as a Research Fellow with the U.S.-based non-profit Center for Assurance, Deterrence, Escalation, and Nonproliferation Science & Education (CADENSE) and as a Research Fellow ⁄ Expert in Residence with the Ghana-based non-profit African Centre for Science and International Security (AFRICSIS). He researches how cognitive processes affect the usability of technologies in health and medical contexts and in online education. Sponsoring Departments: English. |
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Computer Science Department Colloquium Why Data Scientists Should Get Their Hands Dirty Speaker: Brandon Booth, PhD Student, Department of Computer Science, University of Southern California When: 11:00AM ~ 11:50AM, Monday November 18, 2019 Contact: Chuck Anderson, CS Abstract: Modern machine learning and data analytics are revolutionizing human understanding of complex phenonema across many scientific disciplines, but these advancements have not been recognized as rapidly in the field of human behavior and experience analysis. This is due, in part, to the usual culprits: (1) a general need for more data, and (2) a need for high-quality and diverse data samples. Though more and more human data regarding digital interactions is being produced and recorded every day, in this talk, I will discuss why these problems will not simply disappear in the future. I will argue that in order to address these two challenges, concerted effort to collect in-situ data from human populations is required, involving inter-disciplinary teams and "full-stack" scientists. We will examine a case study where this approach addresses these challenges and enables research teams to obtain machine-learned results that may have otherwise remained hidden in the data. Bio: Brandon Booth is a PhD student of computer science at the Signal Analysis and Interpretation Laboratory at the University of Southern California, and he will be graduating in May, 2020. His research focuses on human behavior and experience representation, sensing, and modeling through biological and behavioral signal processing. He received his BS in computer science and mathematics from the University of Colorado at Boulder and his MS in computer science and game development from the University of Southern California. Brandon has over eight years of industry engineering and research experience working in game development, serious games, robotics, computer vision, and geospatial visualization. |
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ISTeC Distinguished Lecture in conjunction with the Computer Science Department and the Electrical and Computer Engineering Department Seminar Series Urban Data Science Speaker: Claudio T. Silva, Professor, Tandon School of Engineering and Center for Data Science, New York University When: 11:00AM ~ 11:50AM, Monday December 2, 2019 Abstract: The large volumes of urban data, along with vastly increased computing power, open up new opportunities to better understand cities. Encouraging success stories show that data can be leveraged to make operations more efficient, inform policies and planning, and improve the quality of life for residents. However, analyzing urban data often requires a staggering amount of work, from identifying relevant data sets, cleaning and integrating them, to performing exploratory analyses and creating predictive models that take into account spatio-temporal processes. Visual analytics systems can greatly help in the analysis of urban data allowing domain experts from academia and city governments better understand cities. In this talk, we discuss our work in building a visual analytics framework to interactively explore large spatio- temporal data sets and give an overview of our research that combines visualization and data management to tackle these challenges. Bio: Claudio T. Silva is Professor of Computer Science and Engineering and Data Science at New York University. His research has focused on data science, visualization, graphics, and geometry processing. Recently he has been particularly interested in urban and sports applications. He received his BS in mathematics from Universidade Federal do Ceará (Brazil), and his MS and PhD in computer science at SUNY-Stony Brook. Since his PhD, he has published over 250 peer reviewed journal and conference papers, and he has been an inventor on 12 US patents. He has advised or co-advised 14 post-docs, 20 PhD and 9 MS students. Claudio is a Fellow of the IEEE and has received the IEEE Visualization Technical Achievement Award. The MLB.com's Statcast player tracking system, which he helped develop, won the Alpha Award for Best Analytics Innovation ⁄ Technology at the 2015 MIT Sloan Sports Analytics Conference, and more recently a 2018 Technology & Engineering Emmy Award from the National Academy of Television Arts & Sciences. Silva’s work has been covered in The New York Times, The Economist, ESPN, and other major news media. |
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ISTeC Distinguished Lecture in conjunction with the Computer Science Department and the Electrical and Computer Engineering Department Seminar Series Sports Analytics: Game Reconstruction, Visualization, and Data Analytics Speaker: Claudio T. Silva, Professor, Tandon School of Engineering and Center for Data Science, New York University When: Time TBD (PM), Monday December 2, 2019 Abstract: While there has always been interest in analyzing sports data, this research area has received significantly more attention in recent years due to both the recognition of the importance of objective statistics and the proliferation of available data. New technology is starting to enable the capture of game play at unprecedented levels of detail, including the tracking of positions of all players and game events at all times. Instead of being starved for data, analysts now have access to volumes of highly accurate gameplay data. This data deluge requires the development of novel visualization and machine learning tools and is leading to major new developments in sports data science. In this talk, we will review recent developments in this area and the enabling technologies. We will also cover our recent work, including the development of the Statcast Baseball Metrics Engine (BME) and related data science tools and techniques. This is joint work with Dr. Carlos Dietrich, and many others at NYU and MLB Advanced Media. Bio: Claudio T. Silva is Professor of Computer Science and Engineering and Data Science at New York University. His research has focused on data science, visualization, graphics, and geometry processing. Recently he has been particularly interested in urban and sports applications. He received his BS in mathematics from Universidade Federal do Ceará (Brazil), and his MS and PhD in computer science at SUNY-Stony Brook. Since his PhD, he has published over 250 peer reviewed journal and conference papers, and he has been an inventor on 12 US patents. He has advised or co-advised 14 post-docs, 20 PhD and 9 MS students. Claudio is a Fellow of the IEEE and has received the IEEE Visualization Technical Achievement Award. The MLB.com's Statcast player tracking system, which he helped develop, won the Alpha Award for Best Analytics Innovation ⁄ Technology at the 2015 MIT Sloan Sports Analytics Conference, and more recently a 2018 Technology & Engineering Emmy Award from the National Academy of Television Arts & Sciences. Silva’s work has been covered in The New York Times, The Economist, ESPN, and other major news media. |
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Computer Science Department Colloquium Proactive Security Auditing for Clouds Speaker: Suryadipta Majumdar, Assistant Professor, Information Security and Digital Forensics, University at Albany - SUNY When: 11:00AM ~ 11:50AM, Monday December 9, 2019 Abstract: Cloud security auditing assures the transparency and accountability of a cloud provider to its tenants. However, the high operational complexity implied by the multi-tenancy and self-service nature, coupled with the sheer size of a cloud, imply that security auditing in the cloud can become quite expensive and non-scalable. Therefore, a proactive auditing approach, which starts the auditing ahead of critical events, has recently been proposed as a promising solution for delivering practical response time. This talk presents the methods of proactive security auditing for clouds and discusses the existing challenges. Bio: Suryadipta Majumdar is an assistant professor in the Information Security and Digital Forensics department at University at Albany. Suryadipta is also an active member of the Audit Ready Cloud (ARC) research group at Concordia University, Canada. Recently, Suryadipta was a National Sciences and Engineering Research Council (NSERC) Canada Graduate Scholar at Concordia University, from where he received his PhD in information systems engineering. His research focuses on cybersecurity, specifically, cloud computing security, internet of things (IoT) security, and software-defined network (SDN) security. Suryadipta is involved in organizing several security conferences and workshops, such as Annual Symposium on Information Assurance (ASIA) and Cloud Security and Privacy (CLOUD S&P). |
