Category: Distinguished Lecture

Prof. Dennis Shasha, Courant Institute of New York University – Abstract: Imagine you are a data scientist (as many of us are/have become). Systems you build typically require many data sources and many packages (machine learning/data mining, data management, and visualization) to run. Your working…

Prof. Carla Gomes, Cornell University – Abstract: Computational sustainability is a new interdisciplinary research field with the overarching goal of developing computational models, methods, and tools to help manage the balance between environmental, economic, and societal needs for a sustainable future. I will provide an…

Prof. Marija Ilic, Carnegie Mellon University – Abstract: In this talk we present the changing objectives of the electric energy systems as complex dynamical systems. We briefly provide the basic landscape in the industry first. We take a broader look at the objectives of deploying…

Prof. Pedro Domingos, University of Washington – Abstract: There are five main schools of thought in machine learning, and each has its own master algorithm – a general-purpose learner that can in principle be applied to any domain. The symbolists have inverse deduction, the connectionists…

Prof. Srini Devadas, MIT – Abstract: (Work done with Xiangyao Yu) A new memory coherence protocol, Tardis, is presented. Tardis uses timestamp counters representing logical as opposed to physical time to order memory operations and enforce sequential consistency in any type of shared memory system….

Prof. Mike Hinchey, Lero – the Irish Software Research Centre University of Limerick, Ireland – Abstract: Increasingly software can be considered to be critical, due to the business or other functionality which it supports. Upgrades or changes to such software are expensive and risky, primarily…

Prof. Frank McSherry, ETH Zurich – Abstract: The Naiad project at Microsoft Research introduced a new model of dataflow computation, timely dataflow, which was designed to support low-latency computation in data-parallel dataflow graphs containing structured cycles. This model substantially enlarged the space of data-parallel computations…

Prof. Jorge M. Pacheco, Universidade do Minho – Abstract: The holy-grail of computational social science is to understand how societies behave as a collective, knowing how individuals interact with each-other. Conversely, if all we know is how societies behave collectively (as happens all too often…

Prof. Pascal Felber, Université de Neuchâtel, Institut d’informatique – Abstract: Stream processing provides an appealing paradigm for building large-scale distributed applications. Such applications are often deployed over multiple administrative domains, some of which may not be trusted. Recent attacks in public clouds indicate that a…