The International Conference on Intelligent Systems and Smart Technologies I2ST’23 is organized by the Faculty of Science and Technology of Hassan First University, Morocco; during January 17-18, 2023. I2ST'23 is a forum for presenting new advances and research results in the fields of information, communication and smart technologies. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world. The scope of the conference covers all theoretical and practical aspects.
I2ST’22 proceeding will be published by a Springer LNNS series indexed by Scopus (Confirmed) .
Extended Papers Recommended by Scientific committee will be published in special issue by MDPI journals ( indexed Scopus, WOS…) :
The International Conference on Intelligent Systems and Smart Technologies I2ST’23 will be an exciting international forum for scientists, engineers, and researchers to exchange their novel research
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to:
• Deep Learning
• Machine Learning
• Pattern Recognition
• Artificial Neural Networks
• Reinforcement Learning
• Computer Vision
• AI Powered Robotic Systems
• Natural Language Processing
• Image and Video Processing
• Data Mining
• Bayesian Learning
• Agent and Multi Agent Systems
• Machine Intelligence
• Pattern recognition
• Web Intelligence
• Intelligent Software Engineering
• Fuzzy Systems
• Computational Intelligence
• Mobile Computing and Intelligence
• Internet of Things.
• Autonomous vehicles and .
• Cities & Policy.
• System Automation
• Smart cities.
• Street furniture.
• Architectures for smart grids and smart
• Cognitive Radio and Cognitive Networks
• Communication Architecture
• Smart Computing
• Internet of Things (IoT)
• Information, Internet Security and Privacy
• Sensor/Embedded Networks
• Electronic systems and circuits
• Smart Grid Systems, Intelligent Control and Robotic
• Smart Portable Devices
• Power Electronics and Control Scheme
• Vehicular Networking
• New Internet technologies
• Slicing and 5/6/7G technologies
• Network Security
• Networking metrics
• Next generation networks (NGN)
• Wireless/mobile networks
• 5G/6G cellular systems
•Cognitive radio & cooperative communication
•Contents/Information Centric Networking (CCN/ICN)
• Green Networks and Smart Grid
• Network survivability and reliability
• Network virtualization
• Vehicular and underwater networks
• Satellite communication systems
• Open spectrum solutions
• Software Defined Network (SDN)
• Business Strategy and Information Technology
• Hardware and Software Co-design
• Information Theory
• Information & Knowledge
• Information and System Security
• E-commerce and m-commerce
• IT-enabled business changes
• Image and Signal Processing
• Social implications of advanced information technologies
• Business applications of advanced information technologies
• IT Software Development and Methodology
• IT Applications for Agriculture Management
• Other Industrial Applications
• Software development fundamentals;
• Software standardization and certification;
• Agile, DevOps models, practices, challenges;
• Software requirement engineering;
• Software process assessment (SPA)
• Software maintenance and testing;
• Software quality management;
• Software project management;
• Big data and Data Science;
• Pattern recognition and Computer Vision
• Web Search and Web Technologies
• Semantic Web and ontologies
• Web Intelligence ;
• Web engineering and its applications;
• Web gaming;
• Green computing,
• Fuzzy Logic
• Neural Networks
• Evolutionary Computation
• Learning Theory
• Machine Learning
• Statistic & Probabilistic Methods
• Data Mining
• Classification
• Clustering
• Association Analysis
• Regression Analysis
• Knowledge-based Engineering
• Time Series Analysis
• Big Data Analysis
• Deep Learning
• Image, Video and Speech Processing
University of Córdoba - Spain
Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018)
Concordia Institute for Information Systems Engineering, Montreal ,Canada
Abdessamad Ben Hamza is Professor and Director of the Concordia Institute for Information Systems Engineering at Concordia University, Montreal, Canada. He received his Ph.D. degree in Electrical and Computer Engineering from North Carolina State University, USA. Prior to joining Concordia University, he was a postdoctoral researcher at Duke University in North Carolina, affiliated with both the Department of Electrical and Computer Engineering and the Fitzpatrick Center for Photonics and Communications Systems. He is the coauthor of the book "Geometric Methods in Signal and Image Analysis" (Cambridge University Press, 2015). He received the IEEE Transactions on Multimedia Outstanding Reviewer Award 2021. His research interests include machine learning, computer vision, image processing, graph signal processing, and medical imaging. He has served as an Area Chair for International Conference on 3D Vision 2021 and 2022. He is a licensed professional engineer and a senior member of IEEE.
Dean-Academics at LBEF CAMPUS Pacific University of Technology & Innovation, Malaysia
Dr. Sandeep Kumar Kautish is working as Professor & Dean-Academics with LBEF Campus, Kathmandu Nepal running in academic collaboration with Asia Pacific University of Technology & Innovation Malaysia.
He is a seasoned academician and accomplished professor with over 16 Years of work experience including over 05 years in academic administration in various institutions of India and abroad. He earned his bachelors, masters in Computer Science, and a doctorate degree in Computer Science on Intelligent Systems in Social Networks. He holds a PG Diploma in Management also. His areas of research interest are Decision Support Systems, Business Analytics, Machine Learning, Data Mining, and Information Systems.
L’université de Pau et des pays de l’Adour - Pau FRANCE
Head of computer science dept. at IUT de Bayonne / University of Pau
Head of T2I research team at LIUPPA Research Lab / University of Pau
Scientific Expert for MESR (Ministry of Education & Research
University of Toulouse 1-Capitole - France
Prof. Dr. Yves Duthen is a Research Professor of Artificial Life and Virtual Reality at IRIT lab, University of Toulouse 1-Capitole (France). He received his Ph.D. degree from the University Paul Sabatier in 1983 and the “French Habilitation” degree in 1993 to become full Professor. He has worked in image synthesis during the 1980’s and focused on Behavioral Simulation based on evolutionary mechanism since 1990. He has published about 130-refereed journal and conference papers and has directed 15 PhD theses. He has pioneered research in artificial life for building adaptive artificial creatures and focuses now on embedded metabolism and morphogenetic engineering. home page :
University of Illinois at Springfield, USA
Yanhui Guo received his B. S. degree in Automatic Control from Zhengzhou University, M.S. degree in Pattern Recognition and Intelligence System from Harbin Institute of Technology, China, and a Ph.D. degree in the Department of Computer Science, Utah State University, USA. He was a research fellow in the Department of Radiology at the University of Michigan and an assistant professor at St. Thomas University. Dr. Guo is currently an associated professor in the Department of Computer Science at the University of Illinois at Springfield. Dr. Guo has published more than 100 journal papers and 30 conference papers, completed more than 10 grant-funded research projects, and worked as an associate editor of different international journals, reviewers for top journals and conferences. His research area includes computer vision, machine learning, big data analytics, and computer-aided detection/diagnosis
Professor at the National School of Computer Science and Systems Analysis
is a Full Professor at the National School of Computer Science and Systems Analysis (ENSIAS), Mohammed V University in Rabat, Morocco.
He obtained his PhD in Operation Research from the University of Sherbrooke, Canada, in 1999.
H’s Founder and Head of the enginneering degree in Artificial Intelligence Enginneering.
His research areas of interest are machine learning , mathematical programming (stochastic and deterministic) and metaheuristics. He has participated in several international conferences and published many research papers in highly indexed journals.
Authors are invited to submit their full papers by Septembre 10, Papers submitted for the conference must be original and should respect the standard guidelines of the Springer proceeding format. The paper must be formatted according to
Springer Format: MS Word Template, Latex Template.
Note that to be submitted to Springer, the overall similarity rate of a paper should not exceed 25 percent, and the similarity rate to a single source should not exceed 10 percent
10.00 - 11.00 AM Junuary 17
11.30 - 12.30 AM Junuary 17
10.00 - 11.00 AM Junuary 18
9:45 - 10:30
10:30 - 11:15
12:00 - 12:45