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
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
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
Publishing Partner
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Accepted papers will be published in the book series Studies in Computational Intelligence
Electronic ISSN 1860-9503
Print ISSN 1860-949X
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Dr. Niha Kamal Basha currently working as an Assistant Professor in Department of Information Security, School of Computer Science and Engineering, Vellore Institute of Science and Technology, India. She was selected by UGC as a Research Fellow with Maulana Azad National Fellowship Award (20152020) to pursue her Doctoral Research. She completed her M.Tech in Computer Science and Engineering from Crescent Institute of Science and Technology, Chennai, India. She completed her B.Tech in Computer Science and Engineering from Avinashilingam University, Coimbatore, India. She has published papers and book chapters on machine learning, deep learning, Image and signal processing domain in IEEE, Springer and Inderscience journals (all Scopus/SCI indexed). She has been selected for Research Excellence Award 2021 by InSc, India. She acted as a reviewer and session co-chair for IEEE conference and Special Session organizer of International Conference. She delivered talk on webinar and acted as an organizer for national webinar and workshops. She has published patent with grant in her area of research. She is an IEEE Member. Her area of research includes Data mining, Machine learning, Pattern detection, HCI, IoT/IoMT and Deep learning.
Dr. Muhammad Davud is currencly working as an Assistant Professor in Department of Computer Engineering, Istinye University, Istanbul, Turkey.
Dr. A. Balasundaram obtained his Bachelor degree in Electronics and Communication Engineering from University of Madras, Chennai and Masters in Computer Science and Engineering from B.S. Abdur Rahman, Crescent University, Chennai, India. He was awarded Doctor of Philosophy (Ph.D) in Computer Science and Engineering by Anna University, India in the year 2019. He is currently working as Assistant Professor (Senior Grade) in School of Computer Science and Engineering and is also associated with Center for Cyber Physical Systems at Vellore Institute of Technology (VIT) – Chennai campus. He has an overall experience of 14 years of which he has over 10 years of Industrial experience working across MNCs like Cognizant Technology Solutions (CTS), Tata Consultancy Services (TCS) and iGATE Global solutions and 4 years of academic experience. He has received Five best paper awards so far across international conferences. He has also received the Star Performer award at Cognizant Technology Solutions and Quality and Delivery Excellence award at iGATE Global solutions. He has 17 publications indexed in SCI and 48 publications indexed in SCOPUS. He is also an active reviewer for reputed international SCI journals under Elsevier, IEEE and Springer. He is also a guest editor for special issues in a couple of SCI journals. His areas of interest include Deep Neural Networks, Computer Vision, Video Analytics, Image and Video Processing, Artificial Intelligence, Data warehousing and Data Mining. His current research areas include Smart Agriculture, Healthcare Intelligence and Medical Image Analysis.
Dr. Mourade Azrour received his PhD from Faculty of sciences and Technologies, Moulay Ismail University, Errachidia, Morocco. He received his MS in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Technologies, Moulay Ismail University of Meknès. His research interests include Authentication protocol, Computer Security, Internet of things, Smart systems, Machine learning and so ones. Mourade is member of the member of the scientific committee of numerous international conferences. He is also a reviewer of various scientific journals. He has published more than 60 scientific papers and book chapters. Mourade Has edited 2 scientific books “IoT and Smart Devices for Sustainable Environment” and “Advanced Technology for Smart Environment and Energy”. Finally, he has served as guest editor in journals “EAI Endorsed Transactions on Internet of Things” and “Sustainability”
Dr. Jamal Mabrouki received his PhD Mohammed V University,Rabat, Morocco in 2021. He is currently Assistant professor in faculty of sciences Mohammed V University,Rabat, Morocco. Jamal is researcher and expert in water science and technology. He is also engineer in environment and climate. Jamal is working on the project on migration and water and the role of water governance in migration policy in Africa with the cooperation between MedYWat and word Bank. He is currently a researcher for the environment and climate program at ECOMED in Morocco, where he started the coordinator of the project "Adaptation of citizens to climate change".
Dr. Said Benkirane received his PhD from Choaib Dokkali University, El jadida, Morocco in 2013. He is currently a PH professor of computer science and mathematics at Cadi Ayyad University Marrakech. His research interests include computer security, artificial intelligence, smart cities and VANET networks. He is also a reviewer of various scientific journals.
Dr. Shakir Khan is Ph.D. in Computer Science presently working as associate professor in college of computer and information sciences (CCIS), Imam Mohammad Ibn Saud Islamic University (IMSIU), and Riyadh, Saudi Arabia. He has 15+ years of rich national and international teaching, research and IT experience, including five years in King Saud University for research, training and teaching, Riyadh, Saudi Arabia. He is member of ABET & NCAAA quality team at the college level and chairperson at the department level in IMSIU and member in many other committees like curriculum development for bachelor and master program in IM department . He has sound research knowledge along with supervision of more than a dozen master scholars in different fields of Computer Science. He has published more than 70 publications in reputed journals, conferences, 47 of them are SCI-indexed, and latest publication can be checked on Google Scholar. He has also published two books and three patents. He contributed in many International Journals and Conferences as Editor, Member of the Advisory board, Reviewer, Program Committee Member, and Keynote Speaker. His research interest includes Machine Learning, Data Mining, Data Science, AI, Cloud Computing, IoT, Big Data & Analytics, Bioinformatics, E-learning. He has been acknowledged by Imam University and received research excellence award in 2019 and received as leader for a programming team in Prince Sultan University, Riyadh as the team was third winner out of 40 national teams from different Saudi universities. He has been awarded three-research grant from Deanship of Scientific Research, Imam University and one from ministry of education, Saudi Arabia. One grant is awarded as PI for International Research Partnership Program with one of the computer science professor in Aligarh Muslim University (AMU), India. Dr. Khan is delivering these projects timely and he is also doing collaborative research with the University of Electronic Science and Technology China (UESTC), and other professors globally.
Dr. Azidine Guezzaz received his Master’s degree in the field of Computer Science and Distributed Systems in 2013 from Departments of Mathematics and Computer Science, Faculty of Science, University Ibn Zohr, Agadir, Morocco. He received his PhD in 2018 from Faculty of Science, University Ibn Zohr, Agadir, Morocco. He was a Professor at the higher school and BTS in the period 2014-2018. He then joined in 2018 Cadi Ayyad University as Assistant Professor. His main field of research interest is Intrusion Detection and Prevention, Computer and Network Security and Cryptography.