will be held at Palais des Roses Hotel in the wonderful, lovely and highly vibrant city of Agadir in Morocco, from 12-13 March 2020. The two-day conference will include invited keynotes and oral presentations.
SADASC’20 will bring together researchers and industry professionals in a collaborative smart cities discussion. It is an international forum for leading researchers and industry professionals to share the passion for Intelligent Systems in important and rapidly changing disciplines.
Previous edition of the conference
SADASC'20 is a continuity of previous edition :
SADASC'2016 :organized in Agadir-Morocco
SADASC'2018: organized in Casablanca-Morocco
The Computational Intelligence & Big Data session is a showcase of next generation technologies and strategies from the world of Artificial Intelligence & Big Data, an opportunity to explore and discover the practical and successful implementation of AI & Big Data in driving forward the business. It is therefore open to high quality submissions from researchers working in learning problems using different techniques to extract knowledge from data. The topics of this track include Big Data models for handling data-level difficulties extracting high valuable knowledge from data, and improving machine learning methods in areas such as:
The main objective of Intelligent Information Systems and Modeling workshop is to provide a forum for discussions and dissemination of research accomplishments in Computer Science and Information Technology and to promote interaction and collaboration among scientists from the African countries and the rest of the world, and to encourage involvement of young researchers from the region.
In a competitive economic environment, manufacturers are forced to face delay, quality and cost challenges. Hence, concepts such as lean manufacturing and TPM have emerged to resolve this problem by improving productivity. A clear strategy for deployment and ongoing management is required to successfully adopt Industry 4.0 technologies, such as digital twin and machine learning. Total Productive Maintenance (TPM) is a lean manufacturing approach. The approach includes a number of methodologies still widely used today such as the Six Big Losses, and is well suited to the smart factory and its IoT use cases.
The main purpose of this session is to focus on various aspects of advances in Information systems, Security and Networking Technologies. to improve our research by achieving the highest capability and encourage open discussions on recent advances in computer communication and information technologies.
Intelligent and industrial systems are becoming more involved in the lives of humans. Robotics and Automation are essential to improve productivity, product quality and worker safety in industries. From mass-production in industryto cutting edge precision within the medical field, Robots influence the society. A robust series of innovations has made robotics the answer to many challenges from disaster response to military applications. This session in association with SADASC conference is becoming a stage to accelerate the international exchange of ideas and scientific knowledge in the real time technological application of Robotics by researchers, academicians and industrialists. This will promote and converse around latest advancements in the field of Robotics.
The purpose of the Smart Grid and Renewable Energy session is to bring together researchers, engineers, manufacturers, practitioners and customers from all over the world to share and discuss advances and developments in Smart Grids research and applications.
This session is a forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of cloud computing, identify emerging research topics, and define the future of cloud and distributed and high performance computing.
The aim of this session is to foster the exchange of knowledge, experiences and ideas among scientists, academics, students, industry representatives and other professionals interested in biotechnology and Smart Materials.
Focus will be given to the following topics :
Sebastian Ventura received the B.Sc. and Ph.D. degrees in sciences from the University of Cordoba in 1989 and 1996, respectively. He currently serves as a Full Professor in Computing Sciences and Artificial Intelligence at the University of Cordoba, where he also heads the "Knowledge Discovery and Intelligent Systems" Research Laboratory. Regarding his scientific production, Prof.
Ventura has authored or co-authored more than 200 international publications, edited several special issues in scientific journals and scientific books and, recently, has also co-authored three books in different areas of machine learning and data mining. He has also worked in several research projects supported by several Andalusian and Spanish agencies and by the European Union. His research interests include machine learning, data mining, computational intelligence, and its applications, with an emphasis in educational, clinical and industrial (including Internet of Things) problems.
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Professor of Computer Engineering Department and Head of 3D-GeoInformatics Research Group at Karabuk University, Turkey. He received his BSc degree from Selcuk University, MSc degree from Gebze Institute of Technology, and PhD degree from GIS and Remote Sensing program of Yildiz Technical University, in 1997, 2001 and 2007 respectively, three of them from Geomatics Engineering Department.
In 2002, he involved in a GIS project as a Graduate Student Intern at Forest Engineering Department, Oregon State University, USA. During the summer of 2014, and summer of 2010 he was a Visiting Researcher in 3D GIS Research Lab, Faculty of Geoinformation Science and Engineering, Universiti Teknologi Malaysia.
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