The International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems

Online and Face-to-Face Conference

Marrakech in Morocco 22^th, 23^th & 24^th September 2022

The International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems

Online and Face-to-Face Conference

Marrakech in Morocco 22^th , 23^th & 24^th September 2022

The International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems

Online and Face-to-Face Conference

Marrakech in Morocco 22^th , 23^th & 24^th September 2022

Paper Submission Deadline

~~03 MAI 2022~~

Deadline new extension

31 MAI 2022

Acceptance Notification

25 JULY 2022

Cameraready papers

05 AUGUST 2022

Early bird registration

25 JULY 2022

Poster

CCIS 1677 is now available online and can be accessed at: September 2022 Lien

The fourth International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems (SADASC’22)

Co-organized by CCPS laboratory and Hassan II University of Casablanca

will be held during September 22-24, 2022 in Marrakesh, Morocco. SADASC’22 will bring together researchers and industry professionals contributing towards different phases of designing, exploiting and maintaining Smart Cyber Physical Systems and their Applications. These phases include requirements engineering, data acquisition/cleaning, storage, deployment, exploitation, and visualization. Designing these systems also has to consider issues such as ethics, security and privacy. CCPS’2022 follows the success of the Agadir (2016) , Casablanca (2018) and Marakech (2020)

Memories

Topics

All Accepted Papers will be Published in CCIS, Springer.

Extended versions of selected papers are considered for publication in international journals indexed Scopus, MDLP, Elsevier, EI..(Special issues & regular)

Progress in Artificial Intelligence

Prospective authors are invited to submit original research papers; which are NOT submitted or published or under consideration anywhere in other conferences or journals. Topics of interest include, but are not limited to:

Track 1: Designing and modeling Smart Applications and Cyber-Physical Systems

Development lifecycle management
Eco-systems Cyber-Physical Systems
Simulation of Applications and Cyber-Physical Systems
Requirement Engineering for applications and cyber-physical systems
Multi-paradigm modeling and methodologies in cyber physical systems
Software Engineering for cyber-physical systems
Stakeholders, barriers and requirements for cyber-physical systems
Human in the loop in cyber-physical systems
Control and Optimization for cyber-physical systems
Dependability in cyber-physical systems (real-time, reliability, availability, safety, security)

Track 2: Network technologies & IOT

New platforms and hardware designs for networked sensor systems
Systems software, including operating systems and network stacks
Low power operation, energy harvesting, and energy management
New communication paradigms for ubiquitous connectivity
Mobile and pervasive systems, including personal wearable devices, drones and robots
Sensing, actuation, and control
Heterogeneous collaborative sensing
Fault-tolerance, reliability, and verification
5G wireless
Routing, scheduling, resource allocation, spectrum sharing
Network optimization and learning
Sensor-oriented data modeling
Network protocols, coverage, connectivity, and longevity
Simulation tools and environments
In-network processing and aggregation
Foundations of sensor networks
Vehicular Communication Design

Track 3: Data management

Data acquisition, storage and infrastructures
Data conversion and data supervision
Heterogeneity of Devices for Data Collection
Big Data
Parallel Databases/NoSQL solutions/in-memory databases and graphs databases
Data Integration, cleaning, transforming and fusing
Data compression and summarization
Data quality, veracity and uncertainty
Data Lakes and data warehouses
Data Heterogeneity Management
Ontologies
Data Collection Workflows
Meta-data
Value Capturing
Norms and Standards
Cloud/Cluster/Distributed computing for data management
Main Memory Databases
Indexing
Data partitioning/Allocation/Load Balancing

Value Capturing
Norms and Standards
Data Compression/Summarization
Cloud/Cluster Computing
Main Memory Databases
Indexing
Co-processing of data (CPU, GPU, FPGA, etc.)
Polystore Deployment
Data partitioning/Allocation/Load Balancing
Data algorithms and data structures on modern hardware
Hardware systems for query processing
Benchmarks

Track 4: Exploitation and Exploration

Programming Models/Environments for Cluster/Cloud Computing
Parallel Databases/NoSQL solutions/in-memory databases
Open Sources for data management
Data Analysis/Visualization
Non-functional Requirement Satisfaction (ethics, pricing, legal, cultural, and economic principles and regulations)
Green Computing
Recommendation Systems
Security, privacy and trust
Blockchains
Prediction Modeling
Machine Learning/Deep Learning
Exploratory Data Analysis
Economical Models for Smart applications/systems

Track 5: Green Communications, Computing and Technologies

Green and sustainable computing
Energy-efficient computing and supercomputing
Intelligent signal processing for green communications
Green cloud computing and IoT
Energy harvesting and energy efficiency in communications
Green vehicles, homes, buildings and industries
Green data storage
Privacy, safety, and security in green-aware systems

Track 6: Case studies

Predictive maintenance
Industry 4.0 (system intercconection, information transparency, technical assistance)
Cognitive computing in real-applications: education, healthcare, etc.
Smart farming
Agricultural intelligence
Market intelligence

Michael Sheng

professor and Head of School of Computing, Macquaire University

Dr. Michael Sheng is a full professor and Head of School of Computing, Macquaire University. Before moving to Macquarie University, Michael has spent 10 years at the School of Computer Science, The University of Adelaide, serving in a number of senior leadership roles including Acting Head and Deputy Head of School of Computer Science. Michael obtained his PhD in Computer Science from the University of New South Wales (UNSW) and did his Postdoc as a Research Scientist at CSIRO ICT Centre. From 1999 to 2001, Michael also worked at UNSW as a Visiting Research Fellow. Prior to that, he spent 6 years as a Senior Software Engineer in industries. Professor Michael Sheng's research interests include IoT, services computing, and big data analytics. Michael is ranked by Microsoft Academic as one of the Most Impactful Authors in Services Computing (ranked Top 5 All Time) and in Web of Things (ranked Top 20 All Time). He is the recipient of the AMiner Most Influential Scholar Award on IoT (2007 - 2017), ARC Future Fellowship (2014), Chris Wallace Award for Outstanding Research Contribution (2012), and Microsoft Research Fellowship (2003). Professor Sheng has authored over 450 publications in highly influential journals and conferences, including ACM Computing Surveys, ACM TOIT, TOMM, TKDD, VLDB Journal, IEEE TKDE, TPDS, TMC, TSC, WWWJ, IEEE Computer, IEEE Internet Computing, Communications of the ACM, VLDB, ICDE, ICDM, IJCAI, AAAI, CIKM, EDBT, WWW, ICSE, ICSOC, ICWS, and CAiSE. He has given keynote and invited talks over 50 conferences and has delivered research tutorials at several premier conferences including AAAI, IJCAI, ICSOC, IEEE BigData, and WISE.

Fadi Dornaika

Research Professor at Ikerbasque, Basque Foundation for Science, Bilbao, Spain, and the University of the Basque Country UPV/EHU, San Sebastian, Spain.

Fadi Dornaika received the M.S. in Signal, Image and Speech Processing from Grenoble Institute of Technology, Grenoble, France, in 1992, and the Ph.D. in Computer Science from INRIA and Grenoble Institute of Technology, Grenoble, France, in 1995. He has held various research positions in Europe, China and Canada. He is currently a Research Professor at Ikerbasque, Basque Foundation for Science, Bilbao, Spain, and the University of the Basque Country UPV/EHU, San Sebastian, Spain. He has published more than 300 papers in the field of computer vision, pattern recognition and machine learning, including 120 indexed journal articles in (IEEE Trans. Robotics & Automation, IEEE Trans. Cybernetics, IEEE Trans. Neural Networks and Learning Systems, IEEE Trans. CSVT, IEEE Trans. SMC, Information Fusion, Information Sciences, Neural Networks, Pattern Recognition, Artificial Intelligence Review, Knowledge-Based Systems, Int. Journal of Computer Vision, Int. Journal of Robotics Research, etc.). His current research interests include: Manifold Learning, Supervised Learning, Multiview Clustering, Scalable Semi-Supervised Learning, Structured Semi-Supervised Learning, Deep Learning with applications to facial age estimation, facial beauty prediction, emotion recognition, fatigue detection, and kinship verification.

Athman Bouguettaya

Professor and previous Head of School of Computer Science, at the University of Sydney, Australia.

Athman Bouguettaya is Professor and previous Head of School of Computer Science, at the University of Sydney, Australia. He was previously Professor and Head of School of Computer Science and IT at RMIT University, Melbourne, Australia. He received his PhD in Computer Science from the University of Colorado at Boulder (USA) in 1992. He was previously Science Leader in Service Computing at the CSIRO ICT Centre (now DATA61), Canberra. Australia. Before that, he was a tenured faculty member and Program director in the Computer Science department at Virginia Polytechnic Institute and State University (commonly known as Virginia Tech) (USA). He is a founding member and past President of the Service Science Society, a non-profit organization that aims at forming a community of service scientists for the advancement of service science. He is or has been on the editorial boards of several journals including, the IEEE Transactions on Services Computing, IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Internet Technology, The ACM Computing Surveys, the International Journal on Next Generation Computing, VLDB Journal, Distributed and Parallel Databases Journal, and the International Journal of Cooperative Information Systems.

TOBIAS PFEIFROTH

EAH Jena University of Applied Sciences, Jena, Germany, Manufacturing and assembly Professor

Tobias Pfeifroth is a professor at EAH Jena at the SchooI of Industrial Engineering and heads the “Assembly Technology” research group. He is also the manager of the Steinbeis "Smart Production" research center. His research focuses on assisting workers in manual assembly operations using new digital tools. Prior to becoming a professor, he held various positions in industry, including at ZF and Bosch Rexroth. He defended his doctoral thesis at the Institute for Machine Tools at the University of Stuttgart and then worked as a group director at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA.

Tutorials & Workshops

Prof. Mustapha Nourelfath

Laval University, Canada

Abstract : This tutorial will introduce and compare model-based and data-driven approaches used for predictive maintenance (PdM) in the Industry 4.0. In model-based approaches, the system degradation is modelled as a stochastic process using historical reliability data. Data-driven approaches have recently emerged and are suitable for the systems where it is possible to obtain monitoring data that represent the behavior of the degradation phenomenon. These data can be used for example to predict the system remaining useful life without knowing the physical nature of the degradation mechanism. The performance of a data-driven approach strictly depends on signal processing and feature engineering techniques. Besides, the revolution of Industry 4.0 provides more convenient supports for the wide development of the data-driven PdM in practice. As sensor technology continue to gain importance, the data-driven perspective has become a relevant approach for improving the quality of maintenance for machines and processes in industrial environments. The tutorial will also present a comprehensive outlook of the current PdM issues, challenges and opportunities, and will outline some research directions for the successful development and deployment of IoT-enabled PdM in industry.

Prof. Denis Hamad

Professeur à ULCO

Abstract : Clustering algorithms are based on implicit assumptions about the properties of data, in particular the similarity between data pairs and the separability between data groups. So, the performance of clustering methods strongly depends on the representation space of these data. For this, feature extraction/selection methods have been widely used as pre-clustering steps to map input data into a feature space where separation is easier. However, recent works show that jointly optimizing for both can yield better results. We propose to use convolutional autoencoder to learn clustering representations of the data by optimizing it with a two-phased training procedure. In the first phase, the autoencoder is trained with a standard reconstruction loss while, in the second phase, the autoencoder is fine-tuned with a combined loss function consisting of the autoencoder reconstruction loss and a clustering-specific loss.

Prof. Jean-Pierre Barbot

Former director of QUARTZ EA 7393 Centrale Nantes

Abstract : This tutorial will deals with the design of an active fault-tolerant control for a twin wind turbine consisting of two wind turbines mounted on the same tower. When one of the turbines is impacted by electrical faults, precisely a stator inter-turn short circuits fault or a demagnetization fault, the sparse recovery diagnosis method is used for the detection, isolation and estimation of the active fault. An active fault-tolerant control law is designed for the supervision of the faulty machine. Both methods, concerning diagnosis and control, are based on homogeneous theory and consequently converge in finite time. Simulation results highlighting the relevance of the proposed approach are also presented.

Prof. Malek GHANES

director of the Chair on Electric Vehicle (EV) and Hybrid EV (HEV) performances between Renault and Centrale Nantes (CN)

Abstract : The aim of this plenary talk is to present advanced methodologies and technologies we developed in the control of propulsion systems at Central Nantes in collaboration with Renault. The principle objectives behind that developments are to reduce the cost of electric and hybrid powertrains in order to rendre them affordable while respecting a high level of requirements on their performance, operational safety and reliability. This talk will focus on the developments made within three main reacherach axis : Control of AC machines and static converters for EV powertrains; Energy management and control of EV charging and Energy optimization of hybrid powertrain systems. Moreover, a program training E-PICo lunched in 2020 (founded in 2019 by EU) will be prensted as well as the test benches we setup for real-time implementation with scale 1 of the developed advanced methodologies.

Prof. Franck Dufrenois

LISIC- IMAP team Université du Littoral Cote d'Opale

Abstract : Optimal transport is a old problem, formulated by Monge in the 18th century. Originaly, It consists in looking for the most economical way to transport objects between a set of departure and arrival points. At that time, Monge had concerns rather focused on civil engineering and formulated this problem as finding the minimum cost to move piles of sand from one area and fill holes in another area. However, when dimensionality increases, this problem becomes untractable.

Committees

Honorary Chairs	Program Cochairs	General Chair
Prof. Houssine AZEDDOUG President of Hassan II University of Casablanca (UH2C) Prof. Ahmed MOUCHTACHI Director of ENSAM, Casablanca Prof. EL Mouden El Hassan DEAN of FSTM, Marakech Prof. Abdelilah BENNIS Director of HESTIM Prof. Omar Bouattane Director of ENSET Mohammedia	Ali Siadat ENSAM, METZ Sebastian Ventura University of Cordoba, Spain Ladjel Bellatreche National Engineering School for Mechanics and Aerotechnics (ENSMA), Poitiers.	Mohamed Hamlich ENSAM, Hassan II University, Morocco Director of CCPS LAB https://www.hamlich.sadasc.net

Honorary Chairs

Program Cochairs

General Chair

Prof. Houssine AZEDDOUG

President of Hassan II University of Casablanca (UH2C)

Prof. Ahmed MOUCHTACHI

Director of ENSAM, Casablanca

Prof. EL Mouden El Hassan

DEAN of FSTM, Marakech

Prof. Abdelilah BENNIS

Director of HESTIM

Prof. Omar Bouattane

Director of ENSET Mohammedia

Ali Siadat

ENSAM, METZ

Sebastian Ventura

University of Cordoba, Spain

Ladjel Bellatreche

National Engineering School for Mechanics and Aerotechnics (ENSMA), Poitiers.

Mohamed Hamlich

ENSAM, Hassan II University, Morocco

Director of CCPS LAB

https://www.hamlich.sadasc.net

Program Committees

Ahmed Nait Sidi Moh

University of Picardie Jules Verne, INSSET, France
Ali Siadat

ENSAM METZ, France
Al-Sarem Mohamed

University Taibah-Medina, KSA
Ana Aguilar

University of Porto, School of Engineering, Portugal
Carlos Garcia

University of Cordoba, Spain
Carrillo De Gea Juan Manuel

University of Murcia-Murcia, Spain
Denis Hamad

LISIC – ULCO, France
Fernandez Joao

University of Minho-Braga, Portugal
Franck Dufrenois

University of Littoral Côte d'Opale, France
Jaafar Gaber

UTBM, France
Jorge Marx Gomez

Carl von Ossietzky Universität Oldenburg Fakultät II, Germany
Rafael pla lopez

Valencia University, Spain
Dominique Sauter

University of Lorraine, France
Simão Melo de Sousa

University of Beira Interior, Portugal
Paulo Veira

University of Beira Interior, Portugal
P. Krishna Reddy

IIIT Hyderabad, India
Philippe Fournier-Viger

Harbin Institute of Technology, China
Lazhar Homri

Arts et Métiers Paristech, France
Mourad Bouneffa

EIL, France
Mohammed Ramdani

FSTM, Hassan II University, Morocco
Djamal Benslimane

LIRIS, University Lyon 1, France
Yassine Ouhammou

LIAS, ISAE-ENSMA, Poitiers, France
Kamel Boukhalfa

USTHB, Algiers, Algeria
Amin Beheshti

Macquarie University, Sydney, Australia
Wookey Lee

Inha University, Korea
Benaoumeur Senouci

ECE, Paris, France
Soumia Benkrid

National Computer science Engineering School, Algeria
Mostafa Bellafkih

INPT, Mohammed V University, Morocco
Karim Baina

ENSIAS, Mohammed V University, Morocco
Alias B.Abdul Rahman

UTM, Malaysia
Alfredo Cuzzocrea

university of calabria, Italy
Aurelio Ravarini

LIUC, Carlo Cattaneo University, Italy
Abderrahim AIT WAKRIME

FSR, Mohamed V University, Rabat, Morocco
Mohammed Mestari

FST, Mohammedia
Aziz El Fazziki

Université Caddi Ayyad, Morocco
Ahmed REBBANI

ENSET Mohammadia, Morocco
Faouzia Benabbou

Science Faculty of Ben M'Sik, Morocco
Aitelmahjoub Abdelhafid

ENSAM Casablanca, Morocco

Ahlaqqach Mustapha

ESITH, Casablanca, Morocco

Jbari Atman

ENSAM, Rabat, Morocco

Broumi Said

FSBM, UH2C, Morocco

Mohamed Tabaa

LPRI, EMSI, Morocco

Alexandra Mendes

University of Beira Interior, Portugal
Antonio caselles moncho

Valencia university, Spain
Athman Bouguettaya

Faculty of Engineering and IT, University of Sydney, Australia
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
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
Nait-Sidi-Moh Ahmed

University of Picardie Jules Verne (UPJV), France
Sabiri Khadija

University of Beira Interior, Portugal
Rui Pereira

University of Beira Interior, Portugal
Saneep Pirbhulal

University of Beira Interior, Portugal
Uday Kiran

University of Tokyo, Japan
K.s. Rajan

IIIT Hyderabad, India
Samant Saurabh

Indian Institute of Management, Bodh Gaya, India
Robert Wrembel

Poznan University of Technology, Poland
Samir Ouchani

CESI, Aix-en-Provence, France
Wojciech Macyna

Wrocław University of Science and Technology, Poland
Carlos Garcia-Alvarado

Autonomic Inc. San Francisco, USA
Mirjana Ivanovic

University of Novi Sad, Serbia
Imane Hilal

ESI, Mohamed V University, Rabat, Morocco
Sadok Ben Yahia

FST, Tunisia
Abdelkrim Bekkhoucha

FSTM, Mohammed V University, Morocco
Abderrazak Bannari

Arabian Gulf University, Bahrain
Habib Kamoun

FSS, University of Sfax, Tunisia
Chourouk Belheouan

LIAS/Poitiers University, France
Mohamed Youssfi

ENSET, UHIIC
Mohamed Kissi

FSTM, UHIIC
Mohamed Azouazi

FSBM, Casablanca
idir Amarouche

USTHB, Algeria
Dellal Ibrahim

Lias/ISAE-ENSMA, POITIERS France
Ardin Djalali

Graduate School of Leadership and Management of Steinbeis university, Germany
Zegrari Mourad

ENSAM Casablanca, Morocco

Jamal Benhra

ENSEM, Casablanca, Morocco

Hassna Bensag

LPRI, EMSI, Morocco

Loubna EL FAQUIH
Ayoub BAHNASSE, ENSAM,UH2C
ENSAM,UH2C, Morocco

Ayoub BAHNASSE

ENSAM,UH2C, Morocco

Chair of XAI Workshop "Explainable Artificial Intelligence"
Mohamed RAMDANI, FSTM, UH2C, MOROCCO

Demo and Video Chairs
Abdelhafid AITELMAHJOUB, ENSAM, UH2C, MOROCCO
Mourad ZEGRARI, ENSAM, UH2C, MOROCCO

Doctoral Consortium Chairs
Djamal BENSLIMANE, IUT, Université Claude Bernard Lyon, FRANCE
Abdelwahed EL HASSAN, Cadi Ayyad University, MOROCCO

Publicity Chairs
Jaafar GABER, UTBM, FRANCE
Soad TAYANE, ENSAM, UH2C, MOROCCO
Nabila RABBAH, UH2C, MOROCCO

Proceedings Chairs
Ladjel Bellatreche, ISAE-ENSMA, FRANCE
Hamad DENIS, ULCO, FRANCE

Sponsorship Chairs
Sanaa ELFILALI, FSBM, MOROCCO
Nadia MACHKOUR, ENSAM, UH2C, MOROCCO
Mohamed ENNAJI, ENSAM, UH2C, MOROCCO

Local and Registration Chair
Hicham MOUTACHAOUIK, ENSAM, UH2C, MOROCCO
Mohamed MOUTCHOU, ENSAM, UH2C, MOROCCO

Social media chairs
Redouane MAJDOUL, ENSAM, UH2C, MOROCCO
Aziz EL AFIA, ENSAM, UH2C, MOROCCO
Abdelwahed TOUATI, ENSAM, UH2C, MOROCCO

Organizing Local Committee
Juniors	Seniors
A. ELMOUTAOUKKIL ENSAM, Casablanca M. Chriss ENSAM, Casablanca I. Youb ENSAM, Casablanca M. Ayad ENSAM, Casablanca R. Madiha ENSAM, Casablanca S. Hajar ENSAM, Casablanca O. BEN-SAID ENSAM, Casablanca Hamlich Elias ENSAM, Casablanca	M.Hamlich ENSAM, Casablanca N.Machkour ENSAM, Casablanca M.Zegrari ENSAM, Casablanca A.Aitelmahjoub ENSAM, Casablanca Radouane Majdoul ENSAM, Casablanca Nabila Rabbah ENSAM, Casablanca M.ENNAJI ENSAM, Casablanca Abdessamad belangour FSBM, UH2C, Morocco Abderrahim FATIHI ENSAM, Casablanca Sara QASSIMI FST, Cadi Ayyad University Houda MOURADI CERIM, HESTIM, Casablanca Benaissa Kissi ENSAM, Casablanca A.Abourriche ENSAM, Casablanca H.Moutachaouik ENSAM, Casablanca M.Moutchou ENSAM, Casablanca M.Ramdani FST, Mohammedia S.Tayane FSBM, Casablanca Aziz El Afia ENSAM, Casablanca Abdelwahed Touati ENSAM, Casablanca Mme. Kaoutar Najad CCoA/Steinbeis, Germany Bouchra BESSAS ENSAM, Casablanca El Hassan Abdelwahed FSS, Cadi Ayyad University Chiraz BRIGUI CERIM, HESTIM, Casablanca Raihani Abdelhadi ENSET, UH2C, MOROCCO

Organizing Local Committee

Juniors

Seniors

A. ELMOUTAOUKKIL

ENSAM, Casablanca

M. Chriss

ENSAM, Casablanca

I. Youb

ENSAM, Casablanca

M. Ayad

ENSAM, Casablanca

R. Madiha

ENSAM, Casablanca

S. Hajar

ENSAM, Casablanca

O. BEN-SAID

ENSAM, Casablanca

Hamlich Elias

ENSAM, Casablanca

M.Hamlich

ENSAM, Casablanca

N.Machkour

ENSAM, Casablanca

M.Zegrari

ENSAM, Casablanca

A.Aitelmahjoub

ENSAM, Casablanca

Radouane Majdoul

ENSAM, Casablanca

Nabila Rabbah

ENSAM, Casablanca

M.ENNAJI

ENSAM, Casablanca

Abdessamad belangour

FSBM, UH2C, Morocco

Abderrahim FATIHI

ENSAM, Casablanca

Sara QASSIMI

FST, Cadi Ayyad University

Houda MOURADI

CERIM, HESTIM, Casablanca

Benaissa Kissi

ENSAM, Casablanca

A.Abourriche

ENSAM, Casablanca

H.Moutachaouik

ENSAM, Casablanca

M.Moutchou

ENSAM, Casablanca

M.Ramdani

FST, Mohammedia

S.Tayane

FSBM, Casablanca

Aziz El Afia

ENSAM, Casablanca

Abdelwahed Touati

ENSAM, Casablanca

Mme. Kaoutar Najad

CCoA/Steinbeis, Germany

Bouchra BESSAS

ENSAM, Casablanca

El Hassan Abdelwahed

FSS, Cadi Ayyad University

Chiraz BRIGUI

CERIM, HESTIM, Casablanca

Raihani Abdelhadi

ENSET, UH2C, MOROCCO

The International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems

Online and Face-to-Face Conference

The International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems

Online and Face-to-Face Conference

The International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems

Online and Face-to-Face Conference

The fourth International Conference on Smart Applications and Data Analysis for Smart Cyber-Physical Systems (SADASC’22)

Memories