Speaker I : Gerardo Rubino, INRIA, France

Title: "Perceptual Quality estimation: Machine Learning and Big Data problems"

Abstract: As a technological and scientific field, Big Data is explosively expanding nowadays, every day appearing in more areas of science or engineering. As many in fashion terms, Big Data covers various views of systems, has different connections with the other aspects of the related problems, and already has around a network of associated concepts. In the talk, we will overview an ongoing project where we explore a significant improvement of a technology we developed for estimating Perceptual Quality estimation of voice- or video-based Internet applications. The project is based on Machine Learning and the current efforts are now facing Big Data problems. In the talk, we will describe them and the approaches followed for solving them.

Biography: Gerardo Rubino is a Senior Researcher at INRIA (the French National Institute for Research in Computer Science and Control) where he is the leader of the DIONYSOS group, working on the analysis and design of networking technologies. He is a Board Member of the Media & Networks Cluster, Brittany, France, and INRIA’s representative at the SISCom Brittany Research Cluster. Among past responsibilities, he has been Scientific Delegate for the Rennes unit of INRIA for 5 years, responsible of research in networking at the Telecom Bretagne engineering school for 5 years, Associate Editor of the Operations Research international journal “Naval Research Logistics” for 9 years, former member of the Steering Board of the European Network of Excellence EuroFGI and responsible of the relationships between the network and European industry. He has also been the head of the International Partnership Office at INRIA Rennes for 5 years. He is a member of the IFIP WG 7.3. He served at the Steering Committee of QEST (www.qest.org) for many years. He is interested in quantitative analysis of complex systems using probabilistic models. He presently works on performance and dependability analysis, and on perceptual quality assessment of audio and video applications and services. In particular, he is the author of the PSQA (Pseudo-Subjective Quality Assessment) technology for automatic perceptual quality real-time evaluation. He also works on rare event analysis, he is a member of the Steering Committee of RESIM, the only workshop dedicated to the topic, and co-author of the book entitled “Rare Event Simulation Using Monte Carlo Methods” (Wiley, 2009). He is the author of more than 200 scientific works in applied mathematics and computer science.

Speaker II : Layth Sliman, EFREI, France

Title: On IoT as a Service Security: Business and Service Perspectives

Abstract: Although it has been spreading under different names for many years, the Internet of Things (IoT) is suddenly becomes the “thing”. The Internet of Things involves an increasing number of physical objects provided with the ability to exchange data over a network. IoT involves several kinds of smart objects including smart vehicles, smart industrial machines, smart energy grids, smart homes and buildings, and smart portable and wearable devices. To that we can add more sophisticated and business oriented sceneries such as smart factories and smart supply chains. From business point of view, IoT becomes an opportunity at a mass scale. In fact, with billions of sensors and actuators providing data and conducting actions, many new business “services” can be proposed. For instance, using data analytics, the data stemming from the embedded sensors can be used to improve energy consumption, to ensure physical safety or to enhance user experience. Moreover, "traditional business processes" can be completely reconsidered through IoT. Actually, coupled with other IT capabilities, IoT enables us to perform innumerous “business service” scenarios such as Remote Fabrication, remote configuration, remote diagnostics and maintenance and even customer service and technical support, to cite few. Despite these advantages and opportunities, up to now no reliable frameworks are designed to secure infrastructures that can connect billions of heterogeneous and disparate devices and their associated services, not to mention data aggregation and analysis services. This raises alarms, not only about security and privacy, but also about public safety since IoT implication goes beyond dematerialized aspects of IT world and can impact physical world. In fact, IoT does pose serious security problems both at service and business levels.

This talk aims at examining the new security Threats, Constraints, and Challenges posed by IoT and the new approaches that addressing them.

Biography: Layth SLIMAN completed his Diploma in Computer Engineering. Then he obtained his masters in Computer Science (Information systems) in INSA Lyon- France and then his Phd from INSA Lyon, in collabration with the university of the Ryukyus, Japan. In 2003, he underwent training in Development and Implementation program in Computer Software Applications in CMC-TATA, New Delhi, India. In the same year, he also underwent another training in Information and Communication Technologies in MEIO University and Okinawa International Center, Japan. In 2008, 2009 2010, 2012, 2013 and 2014 he did many research stays on Digital Rights Management and image processing in the University of the Ryukyus and Ritsumeikan University - Japan. During the period 2000-2010, he worked as lec-turer and assistant professor, did his research and taught Computer Engineering and Infor-mation Systems in many universities including INSA, Lyon, the university of the Ryukyus in Japan, Beijing University of Technology, South China University of Technology China, and the Insitute of Visual Informatics in Malaysia. Since September 2010 he is associate professor in EFREI, a French engineering school located in Paris. He is also the head of the Business Intel-ligence Program at EFREI, president of Olab-Dynamics Association for Interdisciplinary Scientific Cooperation and Technology Transfer. His is a research fellow in many international institutes. His main topic is Collaborative Information Systems. This involves many topics including Web 2.0, , IS Architecture, IoT Security, Cloud Computing, SaaS, Semantic Web and semantic SOA.

Speaker III: Naouel Moha, University of Québec, Canada

Title: Supporting Software Evolution through Detection of Patterns and Antipatterns

Abstract: Software evolution refers to the stage of the software lifecycle where software systems are modified and adapted to support ever-changing user requirements and execution environments. Such changes occur frequently and software engineers are under pressure to perform them rapidly because the systems being evolved are actively used. Hence, software engineers may not always follow good design and implementation practices, a.k.a. patterns, and may adopt bad practices, called by opposition antipatterns or code smells. Code smells specifically refer to bad implementation practices, while antipatterns may also refer to bad design practices. Over time, these bad practices lead gradually to the degradation of the quality of the software systems, which, in turn, makes future evolution more difficult and costly, until systems must be reengineered, migrated, or replaced. One of the main challenges in software evolution is "Preserving and improving software quality". The detection of patterns and antipatterns, the evaluation of their impact on software quality, and their correction are thus critical activities to assess and improve the software quality of software systems. In this talk, I will present our contributions to this important challenge in the context of three significant and widely used paradigms—object-oriented (OO), service-oriented (SO), and mobile-oriented (MO).

Biography: Naouel Moha is currently associate professor at the department of Informatics at the University of Québec in Montréal (UQAM) and a member of the institutional research centre LATECE (Laboratory for Research on Technology for E-commerce). Her research works focus on software quality, maintenance, and evolution. In particular, she is interested in the detection of patterns and anti-patterns in software systems, including object-oriented, service-oriented, and mobile-oriented systems. Naouel Moha was also assistant professor at the University of Rennes within the INRIA’s Triskell project-team after doing a postdoctoral fellowship in the same team. She received a Ph.D. from the University of Montreal (Canada) and the University of Lille (France) as well as a master from the University Joseph Fourier (Grenoble, France). Naouel Moha has published many papers in international conferences and journals, including IEEE TSE, IEEE/ACM ASE, IEEE/ACM MODELS, and ICSOC.

Speaker: Dr. Srinivas Padmanabhuni, CHIEF MENTOR, TARAH TECHNOLOGIES, India

Title: Artificial intelligence comes of age: Business Imperatives

Abstract: Artificial intelligence has moved beyond labs of universities to a broader commercal arena. In this talk I will present a business perspective on use cases of Artificial Intelligence. I will cover the implications of this on our IT services business.

Biography: Dr.Srinivas Padmanabhuni is the President of ACM India. Prior to co-founding Tarah Technologies, he was Associate Vice President heading research at Infosys till Oct. 2015. He has rich experience of more than 15 years in IT Industry. He has given 100 plus expert invited talks across universities in US, China, Australia, Canada, Singapore, UK and India including ivy league universities like CMU, Purdue, RUC etc. He is a prolific, astute researcher who craves for new challenges. He has seven granted patents, 15 filed patents, one published book by Wiley, one book in process, several book chapters, 70 plus refereed journal and conference papers, to his credit in addition to marquee invited talks and editorial positions. He obtained a doctorate degree in Artificial Intelligence from University of Alberta, Edmonton, Canada. Prior to Ph.D. he secured his B.Tech and M.Tech in computer science from premier institutes in India Indian Institute of Technology (IIT), Kanpur and IIT, Mumbai respectively.