Browsing Computer Science Seminar Series, Department of Computer Science by Title
Now showing items 1-20 of 23
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The Case for Multidisciplinary Computer Science
(2015-04-17)Multidisciplinary computer science approaches problem solving from a range of disciplines. Arguably, some of today’s most salient areas of technical research – social computing, data analytics (“big data”), and cyber ... -
Cloud Computing and People with Disabilities
(2013-04-25)The rise of services supported "in the cloud", on the worldwide population of interconnected computers, is revolutionizing many businesses, while providing consumers with increased convenience at lower cost. What does this ... -
Code as a Metaphor for Computational Thinking (CS Seminar Lecture Series)
(2012-02-24)From an educational standpoint Computer Science has embraced the phrase 'Computational Thinking' as part of defining what our students should do. The National Academies and the National Research Council call for standards ... -
Computational Challenges in Space Research (CS Seminar Lecture Series)
(2012-04-20)The Center for Space Science and Engineering Research (Space@VT) in the College of Engineering is a relatively new center having been initiated in summer 2007. At the present time Space@VT comprises twelve Faculty in the ... -
Design-Driven Software Development
(2013-04-25)Raising the level of abstraction beyond programming is a very active research topic involving a range of areas, including software engineering, programming languages and formal verification. The challenge is to allow design ... -
Dynamic Optimizations of Irregular Applications on Many-core Architectures (CS Seminar Lecture Series)
(2012-03-02)Enhancing the match between software executions and hardware features is key to computing efficiency in terms of both performance and energy consumption. The match is constantly complicated by emerging architecture features ... -
Dynamical Processes on Large Networks (CS Seminar Lecture Series)
(2012-03-23)How do contagions spread in population networks? Which group should we market to, for maximizing product penetration? Will a given YouTube video go viral? Who are the best people to vaccinate? What happens when two products ... -
Hetrogenous Parallel Computing
(2013-04-25)With processor core counts doubling every 18-24 months and penetrating all markets from high-end servers in supercomputers to desktops and laptops down to even mobile phones, we sit at the dawn of a world of ubiquitous ... -
Machine Learning in the Bandit Setting: Algorithms, Evaluation, and Case Studies (CS Seminar Lecture Series)
(2012-02-10)Much of machine-learning research is about discovering patterns---building intelligent agents that learn to predict future accurately from historical data. While this paradigm has been extremely successful in numerous ... -
Meta-models of Confidentiality
(2013-05-06)Professor Dennis Kafura's Presentation of Meta-models of Confidentiality. This presentation focuses on information security. The three key parts of information security being confidentiality, integrity, and availability. ... -
Pratical Resource Assignment in Dynamic Wireless Networks (CS Seminar Lecture Series)
(2012-01-27)Efforts to create modern wireless networks have occasionally suffered from approaches that seeks to replace static resource allocation schemes with fully dynamic schemes, failing to adequately compensate for the benefits ... -
Promoting Service Design as a Critical Lens within HCI
(2015-02-06)HCI has a history of adding critical lenses in reaction to the kinds of things it makes. It started with a narrow focus on usability and then added a user-centered design (UCD) lens in order create tools that made people ... -
Runtime Systems: Taming the High Performance Computing Beast (CS Seminar Lecture Series)
(2012-02-03)High performance computing (HPC) is an area of computer science and engineering that has always evolved rapidly---sometimes leading and sometimes riding succeeding waves of technical innovation. While HPC application ... -
Scaling Secure Computation
(2013-04-25)Alice and Bob meet in a campus bar in 2017. Being typical Virginia Tech students, they both have their genomes stored on their mobile devices and, before expending any unnecessary effort in courtship rituals, they want to ... -
Science at Extreme Scale: Challenges in Data Management, Analysis, and Visualization
(2013-05-06)Management, analysis and visualization of extreme-scale scientific data will undergo radical change during the coming decade. Coupled with changes in the hardware architecture of next-generation supercomputers, explosive ... -
Symantec's WINE System for Repeatable, Data-Intensive Experiments in Cyber Security (CS Seminar Lecture Series)
(2012-03-16)Symantec's WINE System for repeatable, data-intensive experiments in cyber security The Computer Science Seminar Lecture Series is a collection of weekly lectures about topics at the forefront of contemporary computer ... -
Towards a Materiality of Information (CS Seminar Lecture Series)
(2012-03-30)In this talk, I'd like to sketch some very preliminary ideas that I'm beginning to shape into a research program for the next few years. They revolve around the materiality of digital information. In the humanities and ... -
Using a Type-centric, Multi-dimensional Event Dispatch Strategy to Simplify Android Programming (CS Seminar Lecture Series)
(2012-04-13)The Android Platform is a popular choice for mobile application developers because of its large user base and the open-source development tools that are available. Further, because Android applications are built using Java, ... -
Using Process Definition and Analysis Techniques to Reduce Errors and Improve Efficiency in the Delivery of Healthcare
(2013-04-25)As has been widely reported in the news lately, heathcare errors are a major cause of death and suffering, and healthcare inefficiencies result in escalating costs. In the University of Massachusetts Medical Safety Project, ... -
Virginia Tech Computer Science Faculty Interview Series: Dr. Bert Huang
(2015-04-17)I am an assistant professor in the Virginia Tech Department of Computer Science. I investigate machine learning with a special focus on models and data with structure stemming from natural networks. Within this focus, my ...
