Overview

This open access book presents a curated collection of high-quality research papers and expert insights from the 2nd Symposium on Smart, Sustainable, and Secure Internet of Things (S4IoT’25). The contributions explore cutting-edge advancements in IoT systems, emphasizing their potential to enhance efficiency, security, healthcare, and sustainability. This book also addresses pressing challenges, such as ensuring robust data privacy, mitigating cybersecurity risks, and enabling widespread adoption of IoT technologies globally. Designed to cater to a diverse audience, the proceedings serve as a valuable resource for academic researchers, industry professionals, and students eager to drive innovation and address critical issues in the ever-evolving IoT landscape.

Full Product Details

Author:   Mohamed Trabelsi ,  Murad Khan ,  Zied Bouida ,  M. Murugappan
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
ISBN:  

9789819551354

ISBN 10:   9819551358
Pages:   339
Publication Date:   01 February 2026
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

1. The Next Frontier of Cybersecurity: Zero Trust for Enterprise IoT Ecosystems.- 2. Next-Generation IoT Connectivity: FSO-RF Integration with High-Altitude Platforms for Reliable Data Transmission.- 3. Multimodal Pain Recognition: Integrating Facial Expressions and Biomedical Signals with Deep Learning.- 4. Detection of Diabetic Macular Edema using Deep Learning: A Comparative Study.- 5. Enabling Low-Cost Access to Weather Satellite Imaging: A Ground Station Solution for IoT Applications.- 6. Drone-Aided Agriculture 5.0: A Survey on Machine-Learning and IoT Paradigms for Smart Farming.- 7. Adaptive Hyper-Heuristics for Smart Logistics Optimization.- 8. Metaverse-Driven Immersive Therapy: Reducing Air Travel Anxiety for Individuals with Autism.- 9. CLAHE-Augmented MRI Dementia Classification via Soft-Voting Ensemble with Gradient-Based Analysis and Dementia Correlation.- 10. An IoT-Based Framework for Adaptive Fitness Recommendations Using Clustering and Ensemble Regression.

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Author Information

Prof. Mohamed Trabelsi is a Full Professor and Head of the Electronics and Communications Engineering Department at Kuwait College of Science and Technology (KCST). He obtained his Ph.D. in Electrical Engineering from INSA Lyon, France, in 2009 and has since established himself as a leading researcher in power electronics, energy conversion, renewable energy integration, smart grids, and AI-based energy forecasting and control strategies. Before joining KCST, Prof. Trabelsi held several research positions at Qatar University and Texas A&M University at Qatar.  Dr. Murad Khan is an Associate Professor at Kuwait College of Science and Technology (KCST). He earned his Master's and Ph.D. degrees in Computer Science and Engineering from Kyungpook National University in Daegu, South Korea, in February 2017. Prior to joining KCST in 2021, he worked as a Brain Pool fellow at Kyungpook National University (KNU), South Korea, from 2019 to 2021. Dr. Khan's contributions have been acknowledged with several accolades, including a bronze medal for research findings at the ACM-SAC Conference 2015 in Salamanca, Spain. Additionally, he received the Qualcomm Competition Award at KNU, South Korea, in 2016 for designing energy-efficient and autonomous smart homes. Furthermore, Dr. Khan was honored with the KNU Excellent Researcher Award for the years 2014, 2015, and 2016. Zied Bouida is an Assistant Professor at Kuwait College of Science and Technology (KCST) in Kuwait City. He earned his Ph.D. in Electrical and Computer Engineering from Concordia University in Montreal, Canada, in 2015. Prior to joining KCST, Dr. Bouida served as a Senior Research Associate and Cisco Chair Technical Manager at the Internet of Things (IoT) Laboratory at Carleton University in Ottawa, Canada. His research focuses on the modeling, design, and performance analysis of wireless, IoT, and Non-Terrestrial Networks. Dr. Bouida is a Senior Member of IEEE, a Professional Member of the IEEE Honors Society, and a licensed Professional Engineer of Ontario. Prof. M. Murugappan is presently working at Kuwait College of Science and Technology (KCST) as a full professor in Electronics, Department of Electronics and Communication Engineering since 2016. He is also serving as a visiting professor at the School of Engineering at Vels Institute of Science, Technology, and Advanced Studies in India. He is also an international visiting fellow at the Center of Excellence in Unmanned Aerial Systems at Universiti Malaysia Perlis in Malaysia. In a study by Stanford University, he was recently ranked among the top 2 percent of scientists working in experimental psychology and artificial intelligence for five consecutive years (2020–2024). He is a member of the editorial boards of PlosOne, Computers and Electrical Engineering, Human Centric Information Sciences, PeerJ Computer Science, Journal of Medical Imaging and Health Informatics, and International Journal of Cognitive Informatics.

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