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【学术报告会】我院“海鸥计划”专家巴黎十三大学Christophe Cérin 教授学术报告会通知

阅读量:22 发布时间:2019-04-29 09:38:12

报告题目:Scheduling and Machine Learning for Smart Buildings on Heterogeneous Architecture

报告时间:2019430日(星期二)上午10:00—11:00

报告地点:四川福彩网三楼会议室

主讲人:巴黎十三大学Christophe Cérin教授

联系人:蒋从锋     cjiang@hdu.edu.cn

欢迎广大师生参会交流!


报告摘要:This presentation introduces, first, in a separate way, some issues and results we obtained during the past decade in Scheduling, Machine Learning, and Architecture, then, we explain how the context of Smart Buildings offers opportunities to glue main results to provide with a middleware able to manage the buildings. The key objective is to define and to implement the Operating System of the buildings, able to compute, to learn, to analyse, to monitor and to store, inside the buildings, all the data produced in the buildings, for privacy issues. This ongoing research is conducting with Qarnot Computing, a French SME, that initially was selling computing time slots on digital heaters at home, and which is now working on crypto heaters, digital irrigation for Smart Buildings. The concern of the presentation is thu, energy efficient computing, learning, analysis… as we had, two decades ago, with Desktop Grid Computing. This ongoing work corresponds to a joint effort with Mustapha Lebbah (Paris 13), Stephane Zuckerman (University of Cergy Pontoise), Yanik Ngoko (Qarnot), Tarek Menouer (now working with Umanis).

 

主讲人简介:Christophe Cérin has been a professor of computer science at the University of Paris 13, France since 2005. In 2015, he was involved with an infrastructure project related to big data and high performance computing for e-sciences for USPC (Université Sorbonne Paris Cité). At Paris13, he chairs the board for the cluster computing facility available to all campus scientists and he chaired (2011-2016) the Expert Committee in charge of recruiting and mentoring full time junior and senior professors in computer science. His current industrial experience includes serving as local chair for the Wolphin project (Alterway, Gandhi, Objectif Libre and Sorbonne University). His recent and past industrial experience was with the Wendelin and Resilience projects related to Cloud and Big-Data. He is also active with RSU (Rèves de Scènes Urbaines  industrial demonstrator for sustainable cities), and also with Qarnot Computing and with Umanis. His research focuses on High Performance Computing, including Grid and Cloud Computing and he develops middleware, algorithms, tools and methods for distributed systems. Find more information on javascript:;