IRASET is The International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) focusing on the latest researches, developments, advances, and new technologies in the fields of Computer Science, Information Technology, Signal Processing, Emerging Technologies, Wireless Communications, Smart Grid, and Green Communications.

The conference aims to disseminate novel ideas and emerging trends, research results, and practical achievements. Original and high-quality contributions are solicited, including theories, applications, and experiments. The IRASET is an opportunity to network, build up partnerships, and exchange ideas with a variety of experienced researchers, developers, and practitioners from several universities, research institutes, and academia.

The IRASET’2022 conference will be held at the Moulay Ismail University, Faculty of Sciences, Meknes, Morocco on March 03-04, 2022 and presents:

– International Journal of Advanced Technology and Engineering Exploration ( SCOPUS Indexed Journal )

– Mathematics and Statistics ( SCOPUS Indexed Journal )

– Frontiers in Energy Research ( SCOPUS Indexed Journal )

– Special Issue “Smart Grid for Future Electricity Networks”

– Special Issue “Sustainable Energy Transition, Utilization and Management – An Elemental Endowment to SDG 7”

– Special Issue “Energy Processing and Smart Grid”


Special session 1: COVID-19 Pandemic Related Research Approaches and tools

The COVID-19 pandemic and its variants continue to spread across the world and cause very heavy damage that continues to grow. Faced with this uncontrolled situation, governments are forced to apply restrictive measures or even impose lockdowns in order to limit human losses and reduce the pressure on health systems. The very heavy economic, social, psychological and political impacts have led to new problems and very urgent challenges which the community of scientific and technical researchers is more than ever called upon to study in order to propose contributions and innovations that make it possible to reduce the negative effects of the pandemic. The purpose of this special session is to highlight the latest progress in the diagnosis and treatment of the COVID-19 pandemic, provide innovative solutions and tools based on AI technology, machine learning, robotics and autonomous systems in order to overcome the challenges generated by the pandemic and improve the living conditions of humanity and assist the healthcare workers and patients of COVID-19.

  • Mathematical and Computational Modelling of COVID-19 pandemic: Dynamics, simulation, prediction, and Control
  • Monitoring and control systems for COVID-19
  • Intelligent IoT Framework and Technology for Social Distance
  • Assistive robotics and autonomous systems for Healthcare delivery in COVID-19 pandemic context
  • Healthcare Smart Web-based Applications and tools for COVID-19
  • Internet of Medical Things and Sensor Network
  • Big Data analytics and IA Tools for COVID-19
  • IA and Machine learning Implementation for COVID
  • Covid-19 pandemic vs Social transformations
  • Coronavirus News Sentiment Analysis
  • Researches on Social and Psychological impacts of COVID-19
  • Digital Transformation, new approaches of Education in the Context of COVID-19
  • Techniques and tools supporting Distance learning and teaching
  • New e-learning and blended learning solutions in COVID-19 pandemic context

Special session 2: Emerging Technologies in Education and Training

Emerging Technologies in Education Scope

Information and Communication Technology (ICT) is actually very present in our normal lives. We are surrounded by the product and services of this technology from automatic parking systems, smart sensors for taking spectacular photos to personal assistance. Similarly, in the field of education and training ICT is being felt more and more and traditional teaching/learning methods are changing dramatically. Furthermore, rational using and integrating of ICT in classroom practices as in distance teaching/learning can significantly contribute to a good quality of education and its effectiveness. In other hand, the emergence of Artificial intelligence AI techniques such as Machine Learning (ML) and Deep Learning (DL) together with the Internet of Things (IoT) promises to open new advances in the detection, understanding, and correction of Handicaps and learning disabilities. The purpose of this special session is to present recent high-quality research on different problems related to information technology and its applications in intelligent education and training from primary to higher school.

Emerging Technologies in Education Topics

  • Smart classroom
  • IoT for learning
  • Mobile Learning
  • Blended Learning
  • Personalized Learning
  • Reinforcement Learning
  • Smart Content management
  • Intelligent Learning Systems
  • Game-based learning and systems
  • Data Analytics & Big Data in Education
  • ICT in Administrative Tasks management
  • ICT skills and competencies among teachers
  • Machine Learning (ML) and Deep Learning (DL)
  • ICT in Evaluation and Assessment of Student Learning
  • Effective Ways of integrating ICT in Education and training
  • Virtual Reality (VR) and Augmented Reality (AR) in learning
  • AI for Detection and correction of handicaps and learning disabilities

Special session 3: Computer Vision and Pattern Recognition

Computer Vision and Pattern Recognition Scope

Computer vision and pattern recognition are essential areas of artificial intelligence. Research work has been considerably expanded over the last ten years, and this trend continues especially in computer vision, pattern recognition, automatic speech recognition, etc. This trend has become a strategic element in developing methods, control tools and inaccessible data access techniques from images, audio and video. Indeed, the growth of the population requires the implementation of intelligent systems to ensure a competitive advantage of cost optimization and the satisfaction of users.

The purpose of this special session is to develop intelligent systems in the field of computer technologies such as: image processing, shape analysis, graphics recognition, speech recognition, video processing, etc. In this context, it is necessary to design new algorithms, new methods, new applications and new techniques related to computer vision and the pattern recognition.

Computer Vision and Pattern Recognition Topics

  • 3D Object Recognition
  • Automatic Speech Processing
  • Character and Word Recognition
  • Character and Word Segmentation
  • Digital Libraries
  • Distributed Document Collections
  • Document Image Processing
  • Facial Recognition
  • Feature Detectors and Descriptors
  • Graphics Recognition
  • Handwriting Models and Analysis
  • Image and Video Synthesis
  • Intelligent Systems
  • Machine Vision
  • Medical Image
  • Multimedia and Hypermedia Analysis
  • Natural Language Issues
  • Recognition of Traffic Signs
  • Robotics
  • Speech Recognition
  • Storage and Retrieval of Documents
  • Text Analysis and Processing
  • Vision Applications and Systems

Special session 4: Nature-Inspired approaches Towards Intelligent Biomedical Engineering

Intelligent Biomedical Engineering Scope

Nature-Inspired Approaches Toward Intelligent Biomedical Engineering is a vital reference source for scientific research and healthcare industry on new trends and techniques in the exploitation of nature-inspired approaches in biomedical engineering. These advancements have led to significant progress and novel opportunities for biomedical engineering. This special session aims to give a theoretical discussion on using nature-inspired artificial intelligent techniques, Swarm Intelligence, Clinical Decision Support Systems… for obtaining intelligent applications within biomedical engineering. This special session is an ideal resource for medical practitioners, professionals, students, engineers, and researchers interested in the latest developments in biomedical technologies.

Intelligent Biomedical Engineering Topics

  • Biomedical Signal Processing
  • Biomedical Imaging and Image Processing
  • Micro/Nano-bioengineering and Cellular/Tissue Engineering & Biomaterials
  • Computational Systems, Modeling and Simulation in Medicine, Multiscale Modeling, Synthetic Biology
  • Cardiovascular and Respiratory Systems Engineering
  • Artificial Immune System
  • Artificial Intelligence
  • Clinical Decision Support Systems
  • Counting Bacteria
  • Differential Diagnosis
  • Swarm Intelligence
  • Watershed Transformation

Special session 5: Smart Grid and Renewable Energy

Smart Grid and Renewable Energy Scope

To deal with the economic and environmental challenges of energy systems management, several nations have set some ambitious targets in terms of their energy policy. Modernization of the electricity grid, decentralization of electricity production, and the integration of renewable energies constitute the main pillars of this challenge. This session will highlight original research that concerns such issues as the design, operation, control, or implementation of sustainable energy systems and smart grid infrastructure, clean and renewable energy, power engineering, and sustainable transportation systems. Emphasis will be placed on those issues that concern the technologies and methods that deal with any of these aspects of smart grids and sustainable energy: demonstrating experimental analysis and design; control engineering; protection systems; modeling and simulation; computational intelligence; optimization algorithms; and data analysis.

Smart Grid and Renewable Energy Topics

  • Applications of smart grid to cyber and physical security systems
  • Energy management systems (with application to building and home automation)
  • Communication and control in energy systems Intelligent monitoring and outage management
  • Smart sensors and advanced metering infrastructure
  • Wide-area protection
  • Microgrids
  • Renewable energy
  • Energy storage and distributed energy resources
  • Plug-in vehicles and low-carbon transportation alternatives

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