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The International Conference on Smart Applications and Data Analysis for Smart Cities 2020 (SADASC’20)

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

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The Topics

01. Computational intelligence & Big data
02. Intelligent Information Systems & Modeling
03. E-Learning systems & Trends
04. Network technologies & IOT
05. Robotics & Embedded systems
06. Smart grid & Renewable Energy
07. Blockchain & Distributed systems
08. Biotechnologies & Smart Materials

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:

  • Big Data Analytics
  • Big Data Analytics applied to Smart Cities
  • Big Data applications: Bioinformatics, Multimedia, Smartphones, etc.
  • Data mining, graph mining and data science
  • Cloud and grid computing for Big Data
  • Hardware/software infrastructure for Big Data
  • Data Mining and Machine Learning
  • Deep Learning
  • Evolutionary Computing
  • Natural Language Processing
  • Neural Computation
  • Neural Networks and Neuro-Fuzzy Systems
  • Optimization
  • Pattern Recognition
  • Planning and Scheduling
  • Probabilistic Reasoning
  • Reinforcement Learning
  • Relational Learning
  • Soft Computing
  • Swarm Intelligence
  • Artificial Intelligence and data sciences
  • Information and knowledge management
  • Social Web Analytics and Natural Language Processing
  • Cloud computing and service data analysis
  • Data warehouses, cloud architectures
  • Data in Healthcare
  • Big Data Analytics in Government, Public Sector and Society in General
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    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.

  • Computer systems organization
  • Software engineering
  • Standardization, interoperability, and legal aspects
  • Data Warehouse, Data Mining & Application
  • IaaS, SaaS, PaaS
  • Big Data Management
  • Big Data Models and Algorithms
  • Database Systems
  • Mathematics of computing
  • Information systems
  • Human-centered computing
  • Computing methodologies
  • E-logistics, E-commerce and EDI
  • Mobile Application
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    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.

  • Maintenance and reliability
  • Monitoring of manufacturing systems
  • Product life cycle management
  • Project management
  • Quality management
  • Logistics, transportation, and distribution systems
  • Supply chain design and performance evaluation
  • Production planning and scheduling
  • Warehouse and inventory management
  • Manufacturing executive systems
  • Quality and Industrial Performance
  • Industrial logistics
  • Showcasing advanced technology to transform manufacturing
  • Digitalising Multi-tier Supply Chains
  • Supply chain with digital transformation and IoT
  • implementing Industry 4.0 technologies incrementally
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    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.

  • Internet of Things Networks
  • Industrial Internet of Things Architectures
  • Industrial IoT Technologies for Flexible Production Lines
  • Smart City, Smart Home
  • Design and Implementation of Cyber-Physical Production Systems
  • Multi-Sensor Systems for Automated Data Collection in Industrial Environments
  • Industrial Internet of Things Systems that comprise Smart Objects (Drones, Robots, Autonomous Guided Vehicles)
  • Performance Analysis and Evaluation of Industrial Internet of Things Systems
  • Cybersecurity in Industrial Internet of Things Environments
  • Interoperability of heterogeneous wireless networks of different standards
  • Wireless security systems
  • Mobile computing Wireless and cellular networks
  • Multimedia communications, Network architectures and protocols
  • Radio communication systems, RFID systems and Internet of Things services
  • Survey papers on wireless communication, SDN concepts, architecture, and APIs.
  • Cognitive Radio Networks
  • Cloud/Cluster Computing for IoT Data
  • Co-processing of IoT data (CPU, GPU, FPGA, etc.)
  • Polystore Deployment for IoT Data
  • IoT data algorithms and data structures on modern hardware
  • Query Cost models for IoT Data processing
  • Hardware systems for query processing of IoT Data
  • IoT Web services, Cryptography and quantum Cryptology
  • Symmetric and Asymmetric Cryptographic Protocols
  • Random generators and pseudorandom
  • Algebraic Cryptanalysis and polynomial systems
  • hardware implementations and side channel attacks
  • protocols based on identity or attributes
  • Intrusion Detection & Prevention
  • Mobile Security and smart cards Security
  • Identity and Security in IoT, Security Policies, Formal methods & verification
  • Access Control Models, Security, Privacy, Trust infrastructure and technologies
  • Communication and Information Security
  • Network Security, Security and Privacy for Smart Systems
  • Security and privacy for big data
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    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.

  • Assistive Robotics
  • Autonomous Robots
  • Bio-inspired Robotics
  • Biomechanics
  • Biomedical Robots
  • Biomimetic Robotics
  • Computer Vision
  • Distributed Sensing
  • Haptics
  • Human Robot Interaction
  • Humanoid Robotics
  • Micro and Nano Robots
  • Mobile Robots
  • Modelling, Identification and Control
  • Motion Planning and Scheduling
  • Multi-Agent Systems
  • Multimedia Robotics
  • Multi-Robots
  • Multi-Sensor Fusion
  • Signal and Image Processing
  • Embedded system architecture
  • Embedded hardware support
  • Real-time systems
  • Embedded software
  • Hardware/software co-design
  • Application-specific processors and devices
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    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.

  • Digital city and smart growth
  • Energy efficiency
  • Smart environment & ecosystems
  • Smart Grid Technologies and Applications
  • Renewable Energy and Energy Storage Systems
  • Power Electronics and Applications
  • Cyber Physical Systems and Internet of Things in Smart Grid
  • Smart Energy
  • Smart Grids and Micro Grids
  • Internet of Energy IoE
  • Wind Power
  • Climate Change
  • Solar Energy
  • Power conversion Technology
  • Energy systems
  • Battery Storage
  • Power to Gas and Heat
  • Bio Mass Biofuels
  • Big Data Aplications
  • ICT for Sustainability
  • Block chain Technology
  • Smart City Solutions
  • Storage Distribution Developments
  • Waste to Energy
  • Smart Meter
  • Rules, regulations and recent policy developments
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    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.

  • Parallel and Distributed Systems.
  • Multi Agent Systems
  • Theories of blockchain and distributed ledger technology
  • Distributed consensus and fault tolerance mechanisms
  • Security, privacy and trust of blockchain and distributed ledger technology
  • Decentralization, scalability, and security tradeoff
  • Performance analysis and optimization
  • Simulation and performance evaluation techniques
  • Smart contract and chain code
  • Applications and services with blockchain and distributed ledger technology
  • Protocols and algorithms based on blockchain
  • Blockchain in the Internet of things (IoT)
  • Blockchain in cyber physical systems
  • Blockchain in social networking
  • Blockchain in supply chain management
  • Blockchain in agriculture
  • Blockchain in connected and autonomous vehicles
  • Blockchain in crowdsourcing and crowdsensing
  • Blockchain in mobile cellular networks
  • Blockchain in edge and cloud computing
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    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 :

  • Shape memory alloys and polymers, electro and magnetorheological materials, piezoelectrics, ferroelectrics, multiferroics, piezomagnetics,…
  • Biochemical Engineering
  • Bioprocess Engineering
  • Bio-Technology & Food Technology
  • Industrial Processes/New Products
  • Medical Biotechnology
  • Agro- and Food Biotechnology
  • Genomics and Bioinformatics
  • Environmental biotechnology
  • Physiology/Biochemistry
  • Biosourced materials and biomaterials
  • Nucleic Acids/Molecular Biology
  • Biomass and bioenergy
  • Application of smart materials, structures and related technology
  • Fundamentals of smart materials
  • Modeling/formulation and characterization of smart actuators, sensors and smart material systems
  • Smart material systems that utilize biomimetics and bioinspiration
  • Smart materials utilized as sensors and actuators with applications at any scale
  • Smart optical materials for modification in spectral shifts and refractive index shift
  • Trends and development in composite materials and intelligent hydrogels
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    Committes

    Program Committes
    • Ahmed Nait Sidi Moh
      (Université de Picardie Jules Verne, INSSET, France)
    • Ali SIADAT
      (University Taibah-Medina, KSA)
    • AL-SAREM Mohamed
      (University Taibah-Medina, KSA)
    • Ana Agular
      (University of Porto, School of Engineering, Portugal)
    • Athman Bouguettaya
      (Faculty of Engineering and IT, THE UNIVERSITY OF SYDNEY)
    • Carlos Garcia
      (University of Cordoba, Spain)
    • CARRILLO DE GEA Juan Manuel
      (University of Murcia-Murcia, Spain)
    • Cristobal Romero
      (University of Cordoba, Spain)
    • Denis Hamad
      (LISIC – ULCO, France)
    • FERNANDEZ Joao
      (University of Minho-Braga, Portugal)
    • Franck Dufrenois
      (Université du Littoral Côte d'Opale, France)
    • Jaafar Gaber
      (UTBM, France)
    • Jorge marx gomez
      (Carl von Ossietzky Universität Oldenburg Fakultät II, Germany)
    • Jorge Marx Gomez
      (Carl von Ossietzky Universität Oldenburg Fakultät II, Germany)
    • José Maria
      (University of Jaén, Spain)
    • Ismail Khalil
      (Institute of Telecooperation Johannes Kepler University Linz, Austria)
    • Ismail Rakip Karas
      (Karabuk University, Faculty of Engineering, Karabük, TURKEY)
    • Keiki TAKADAMA
      (UEC TOKYO, Japan)
    • KRATZ Frédéric
      (INSA Centre Val de Loire-Bourges, France)
    • Ladjel BELLATRECHE
      (LIAS/ISAE-ENSMA, France)
    • Lazhar HOMRI
      (Arts et Métiers Paristech, France)
    • Mourad BOUNEFFA
      (EIL, France)
    • Nour EL FATH Mustapha
      (University Laval-Laval, Canada)
    • Oscar Reyes
      (University of Cordoba, Spain)
    • Sebastian Ventura
      (University of Cordoba, Spain)
    • Pascal LORENZ
      (University of Haute Alsace, France)
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    Speakers

    Sebastian Ventura

    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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    Ismail Rakip Karas

    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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    To be announced ...

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    Sponsors