Special Sessions



1. Application of Artificial Intelligence for Medical Image Analysis

Session Organizers

Session Chair: Dr. Niha Kamal Basha
School of Computer Science and Engineering,
Vellore Institute of Technology, Vellore, India.

Dr. Muhammad Davud
Istinye University,
Istanbul, Turkiye

Dr. A. Balasundaram
School of Computer Science and Engineering,
Vellore Institute of Technology, Chennai, India.


Session Outline

Welcome to this special session on the "Application of Artificial Intelligence for Medical Image Processing". Medical imaging is an essential tool for diagnosis, treatment planning, and disease monitoring. The amount of medical image data being generated is increasing rapidly, and this has created a need for efficient and accurate processing of these images. Artificial Intelligence (AI) has emerged as a powerful tool for medical image processing, enabling automated analysis and interpretation of medical images with high accuracy.

This special session aims to bring together researchers and industry professionals to present and discuss the late. This session focuses on applying. The focus of this session is on the application of AI techniques such as deep learning, machine learning, and computer vision for medical image analysis, interpretation, and diagnosis. The session will cover a range of topics related to medical image processing, including but not limited to image segmentation, classification, registration, reconstruction, synthesis, and visualization.

We hope that this special session will provide a platform for researchers and practitioners to exchange ideas, share knowledge and collaborate towards the development of effective and efficient AI-based solutions for medical image processing. We look forward to an exciting and informative session.

The special session on AI-based medical image analysis covers a range of topics, including but not limited to:

  • Deep learning models for medical image segmentation, classification, and detection.
  • Multimodal medical image analysis
  • AI for improved diagnosis and treatment planning.
  • Computer-aided diagnosis (CAD) systems for medical image analysis
  • Generative models for medical image synthesis
  • Explainable AI for medical image analysis
  • Applications of AI in medical image analysis
  • Future directions in AI-based medical image analysis


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2. IoT, Artificial Intelligence and Green Technology for Sustainable Environment

Session Organizers

Session Chair: Dr. Mourade Azrour
Faculty of sciences and Techniques,
University Moulay Ismail of Meknes, Morocco.

Dr. Shakir Khan
College of Computer and Information Sciences,
Imam Mohammad Ibn Saud Islamic University, Saudi Arabia.

Dr. Jamal Mabrouki
Faculty of sciences,
University Mohammed V in Rabat, Morocco.

Dr. Said Benkirane
Technology Higher School Essaouira, Morocco.

Dr. Azidine Guezzaz
Technology Higher School Essaouira, Morocco.


Session Outline

Welcome to this special session on the “IoT, Artificial Intelligence and Green Technology for Sustainable Environment”. Recently, IoT technology is intended to perform the datacomposition over all things and intelligence over everything. What it does is applying intelligence around the Edge and empowering devices to be able to intelligently understand data, survey the environment around them, and then make decisions regarding the best action to take. Through the powerful use of Machine Learning, Deep Learning and AI, IoT devices are no longer simply communicators that forward information to the central controller, rather they have become independent intelligent machines that can conduct autonomic analyses and operate autonomously.

The focus of this special session is to assemble innovatory scientists, professors, researchers, students, and industry professionals in the field of IoT, artificial intelligence, and smart environments in a common forum. Effectively, the key objective of this special session is to further the process of transforming the fundamental research to an institutionalized and commercialized research and converting the implemented mining into actual applications in real time. Globally, the this special session will create perspectives for researchers and attendees to collaborate domestically and across borders, and to network between universities and other institutions that are working together for smart and sustainable environment.

The topics covered include, but are not limited to:
  • Machine Learning, IoT and AI for Smart Systems
  • Machine Learning, IoT and AI for environment and health
  • Machine Learning, IoT and AI for air, water and climate sustainability
  • Machine Learning, IoT and AI for smart energy, renewable energy and green fuel
  • Machine Learning, IoT and AI for smart cities
  • Smart Communication and Networking Technologies
  • Big Data and Smart Systems
  • Authentication and authorization
  • Security of private data
  • Machine Learning application for healthcare
  • Deep Learning for healthcare
  • Internet of Medical Things (IoMT)

Publication of Sessions

Accepted papers for special sessions will be published as chapters in one of the following scientific books:


Book title : Advanced Technology for Smart Environment and Water
Book series: Advances in Science, Technology & Innovation
ISSN : Electronic 2522-8722 Print 2522-8714
Publisher : Springer Nature Switzerland AG
Indexed in : SCImago and SCOPUS


Book title : IoT, Machine Learning and Data Analytics for Smart Healthcare
Book ISBN : 9781032551074
Published : CRC Press taylor & francis
Indexed in : SCOPUS and Web of Science



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