Guest Editors
Assoc. Prof. Mahmoud Elsisi
Email: mahmoudelsisi@nkust.edu.tw
Affiliation: Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, 80543, Taiwan
Homepage:
Research Interests: Power systems control, artificial intelligence techniques, machine learning, internet of things
Mr. Chou-Mo Yang
Email: i113154108@nkust.edu.tw
Affiliation: Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung City, 80543, Taiwan
Homepage:
Research Interests: Artificial Intelligence, reinforcement learning, applied machine learning, cybersecurity, power systems.
Assist. Prof. Noorman Rinanto
Email: noorman.rinanto@ppns.ac.id
Affiliation: Marine Electrical Engineering Department, Shipbuilding Institute of Polytechnic Surabaya, Indonesia
Homepage:
Research Interests: Artificial intelligence, image and signal processing, machine learning, automation and robotic, IoT
Dr. Alvian Toto Wibisono
Email: alvian@its.ac.id
Affiliation: Department of Materials and Metallurgical Engineering, Sepuluh Nopember Institute of Technology, Surabaya, Indonesia
Homepage:
Research Interests: Material, metallurgy, selective laser melting
Dr. Muhammad Qomaruz Zaman
Email: muhammad.zaman@its.ac.id
Affiliation: Electrical Engineering Departement, Sepuluh Nopember Institute of Technology, Surabaya, Indonesia
Homepage:
Research Interests: Mechatronics, robotics, fuzzy logic control
Summary
The integration of the Internet of Things (IoT) with advanced data analytics, machine learning, and optimization techniques is revolutionizing the development of smart cities and sustainable energy systems. IoT technologies enable real-time monitoring, predictive control, and intelligent decision-making across various urban domains, including transportation, energy management, waste reduction, and environmental monitoring.
This Special Issue focuses on recent advancements and innovative applications of IoT in creating intelligent, energy-efficient, and sustainable urban ecosystems. It welcomes original research, reviews, and case studies that explore IoT architectures, optimization algorithms, AI/ML models, and secure communication protocols tailored for smart city and energy applications. Special attention is given to how IoT and intelligent computing can enhance the efficiency, resilience, and sustainability of modern infrastructures.
By bridging IoT technologies with artificial intelligence and sustainable energy innovation, this issue aims to present interdisciplinary insights that contribute to the realization of smarter, greener, and more connected cities for the future.
Suggested Themes:
· IoT Applications in Smart Cities and Sustainable Energy Systems
· Machine Learning and Optimization for IoT-Based Decision-Making
· Energy Management, Smart Grids, and Renewable Integration
· Edge and Cloud Computing for IoT in Urban Environments
· IoT Security, Privacy, and Reliability
· AI/ML-Driven Sustainable Infrastructure
Keywords
IoT, Smart Cities, Machine Learning, Optimization, Sustainable Energy, Smart Grids, Edge Computing, AI, Security, Urban Systems
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