IC-AIRES2020 Technical Program
• Full Paper Submission
June 30, 2020
July 15, 2020
July 30, 2020
• Notification of acceptance : August 24, 2020
• Camera ready paper submission :
September 10, 2020
September 20, 2020
Prof. Chems Eddine CHITOUR
Prof. Khadidja GUENACHI
IC-AIRES2020, Plenary Talks (Visio-Conference)
Dr. Muhammad AZIZ Dr. Mourad BOUACHE Dr. Mohamed Cherif DANI Pr. Dr. Ing. Benachaiba CHELLALI
(Japan) (USA) (Netherlands) ( Algeria)
Adoption of Carbon-Free Energy Sources Toward Sustainable and Smart Energy System
Dr. Aziz is currently an Associate Professor at Institute of Industrial Science, The University of Tokyo, Tokyo, Japan. He received B. Eng., M. Eng., and D. Eng. degrees from Kyushu University, Japan, in 2004, 2006 and 2008, respectively, in the field of mechanical engineering. His general research areas are advanced energy conversion systems. His research interest includes power generation, renewable energy utilization, process modeling, smart grid, electric vehicle, battery, and hydrogen production and utilization. He has published more than 100 peer-reviewed journals, 18 books and book chapters, and more than 200 proceedings.
Muhammad Aziz, Dr. Eng.
Institute of Industrial Science, The University of Tokyo
4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan
The utilization of carbon-based energy sources, especially the fossil fuels, have resulted in several environmental problems. These high concerns on environmental issues, including the climate change, have motivated us to shift to the adoption of cleaner and sustainable energy systems in the future. The adoption of carbon-free energy source, including primary and secondary energy sources, is believed to be able to solve these environmental anxieties, as well as facilitate new opportunities on energy security and economy. However, the renewable energy sources are fluctuating, hence, require supports, including the secondary energy sources, to balance between the supply and demand. Secondary energy sources are expected to be able to bridge effectively between the primary energy sources and the demand. In addition, the mutual conversion among these secondary energy sources are also important to create mutually integrated energy systems. Carbon-free secondary energy sources, such as electricity, hydrogen, and ammonia, are expected to be massively adopted in the future. The conversion, storage/transportation, and utilization technologies of these secondary energy sources are required to be developed effectively. Moreover, the adoption of smart system to support this clean and sustainable energy systems are also required, as well as to achieve higher resilience in the energy systems and the whole living systems. Several ideas and technologies related to the creation of sustainable and clean energy systems by employing carbon-free energy sources are discussed.
100% in Visio-Conference mode
Science of Performance and AI
Dr. Mourad Bouache
United States, USA
In the “Science of Performance and AI” presentation you will understand how to evaluate system performance and some workload characterization techniques. Performance evaluation applies to any kind of system not only for computer science systems or applications. This presentation will give the opportunity to learn more about different performance metrics like throughput and response time as well as how to discover and address performance issues and resource bottlenecks.
The objective of “Science of Performance and AI” is to learn more about performance in different load scalability in distributed systems and take it to a different level from the “engineering” to understand the science behind. I will explain how we can use AI for performance as a science which is part of my daily life.
Mourad was born in Cherchell. He received his PhD degree from the University of Perpignan Via Domitia in France in Computer Science (Computer Architecture). He received the Master degree in Micro-architecture from the University of Boumerdes with a co-direction with the University of Perpignan in France in 2006. He received his Bachelor degree in Software Engineering and Computer Science from the University of Boumerdes, M’hamed Bougara (Algeria). Started a Postdoctoral Research in Real-Time Embedded Software Group at the Faculty of Engineering, Department of Electrical and Computer Engineering of the University of Waterloo in Canada(RIM Blackberry Research Lab) in 2012. Before joining the University of Waterloo he has been a Postdoctoral Fellowship at the University of Perpignan Via Domitia in France and as a Postdoctoral researcher at the University of Illinois – Champaign-Urbana, UIUC working in Intel Compiler Design Research Lab. He started working at Yahoo in Silicon Valley in July 2012 - Oath in 2016 and Verizon in 2019 as Performance Engineering leader for Data Center, Hardware and Software Optimization, 5G Internet and Artificial Intelligence.
Toward a smart healthcare management using AI
Mohamed Cherif DANI was born in Mostaganem. He received his Ph.D. degree from the University of Paris Descartes in Data Science and a master’s degree in Machine Learning from the same university. Also, He received a master’s degree in industrial computing from the University of Mostaganem in 2008, And recently an MBA from Sorbonne Business School. Started as a researcher in Airbus for Aircraft Health Monitoring using applied AI, then in 2016 a machine learning research in Intel. He is today an expert in Industrial AI and digitalization for different international accounts, as previously: Bobst Switzerland, Airbus France, Thales avionics, Engie, and currently Lead AI & ML for Shell Amsterdam. He recently launched his second startup Videep.ai in medical care using AI and IoT applications.
Mohamed Cherif Dani, Ph.D | MBA
Lead AI, Shell Amsterdam
Netherlands (Pays Bas).
Founder of Alger.IA meetup – AI community |
Artificial intelligence and related technologies are increasingly prevalent in business and society, and especially in the prognostic health management and the healthcare domains. The complexity of medical data gathered in the last decades requires sophisticated algorithms and architectures, but also offer new data-driven services and opportunities, as early cancer detection, semi-automatic diagnosis and prognosis of diseases, etc. In this presentation, we will have the opportunity to learn about different AI applications in the medical sector, and we will discuss the vision of Videep.ai in the telemedicine, and how can we fight the medical desert and help doctors to be more efficient, thanks to the combination of AI and IoT technologies.
From Fuzzy logic to Neutrosophic in Electrical Engineering for Renewable Energetic Systems
Prof. Dr. Ing. Benachaiba chellali received the engineer degree in Electrical Engineering in 1987 from the University of Boumerdes (INH) and the Magister degree in 1996 from Bechar University, Algeria. In 2005, he received the doctorate degree from the University of Sciences and Technology of Oran (USTO), Algeria. He spent 8 years of industrial experience with Sonatrach and Télédiffusion d’Algérie, before joining Bechar University of Algeria. He is an established academician and a practical engineer. He has successfully supervised to completion PhD and Master students. His current research and teaching interests include Artificial Intelligence, Power Quality Improvement, Renewable Energy and ICT. Currently he is a trainer of PhD students in Artificial Intelligence.
Prof. Dr. Ing. Benachaiba chellali
Expert in Artificial Intelligence
Demand for energy and associated services, to meet social and economic development and improve human needs, is increasing. Since approximately 1850, global use of fossil fuels has increased to dominate energy supply, leading to a rapid growth in carbon dioxide (CO2) emissions of over 390 ppm. Renewable Energy (RE) is a green solution can provide wider benefits. RE share was 8.6% in the global energy mix in 2010 and is expected to increase to 22.5% in 2020 as per a recent thematic research report Renewable Energy by GlobalData. In this sense, Algeria will target to lift its installed renewable capacity from the current 350 MW to 22,000 MW by 2030, including 13,500 MW of solar PV. To meet energy demand at a competitive cost, researchers are turning to artificial intelligence due to the limits of numerical methods. In this talk, two logics will be presented, namely: Fuzzy Logic and Neutrosophic. The fuzzy logic approach was first proposed by Lotfi Zadeh in 1965. It is found that fuzzy based models are extensively used in recent years for site assessment, for installing of photovoltaic/wind farms, power point tracking in solar photovoltaic/wind, optimization among conflicting criteria. The second logic concerns Neutrosophy and the neutrosophic set approach, which further extended the application of fuzzy logic and intuitionistic logic, were first proposed by Florentin Smarandache in 1995. Recently, neutrosophic sets has been becoming an interesting research topic and attracted widely attentions of researchers in different domains of renewable energy. The applications of these logics will be discussed in this talk. The conclusion of the talk will highlight the trends, challenges and recommendations.
Dr. Ahmed Mancy Mosa
Dr. Mustapha Hatti
Pr. Andrée Dagorne
Pr. Abdelghani Aissaoui