University of Technology Sydney, Australia, Obuda University, Hungary;
Prof. Amir H. Gandomi is a Professor of Data Science at the University of Technology Sydney and a Distinguished Professor at Obuda University, Budapest. His research focuses on applied artificial intelligence, data-driven modeling, and large-scale optimization to address global challenges in energy, environment, and sustainability. He has published over 400 journal papers and 12 books, attracting more than 73,000 citations (H-index = 116). Recognized among the world’s most influential researchers, he has been a Web of Science Highly Cited Researcher for six years and ranked 29th globally in AI and Image Processing by Stanford University (Elsevier, 2023). His honors include the IEEE TCSC Award for Excellence in Scalable Computing (2024), the Achenbach Medal (2023), and the ASCE Walter L. Huber Prize (2022). Most recently, he received the 2025 Sigma Xi Young Investigator Award. Prof. Gandomi also serves on multiple editorial boards and frequently delivers keynotes on AI-driven innovation for sustainable and intelligent systems.

Signals and Communications Department, Institute for Technological Development and Innovation in Communications, University of Las Palmas de Gran Canaria, 35001 Las Palmas, Spain;

Centre of Real Time Computer Systems, Kaunas University of Technology, Kaunas, Lithuania;
Robertas Damaševičius is a Professor at Vytautas Magnus University, Lithuania and at Kaunas University of Technology (KTU), Lithuania, and an Adjunct Professor at the Silesian University of Technology, Poland. He is also heading the Centre of Real Time Computer Systems at KTU. His research focuses on artificial intelligence, machine learning, data science, and digital twins, with applications in smart forestry, healthcare, environmental monitoring, and technology-enhanced learning. He has published extensively in international journals and conferences and has led or contributed to numerous EU-funded projects, including initiatives on smart forests, digital health, and innovative STEM education. He serves on editorial boards and as an associate editor for several scientific journals and is frequently invited as a keynote or invited speaker at international conferences. Prof. Damaševičius is actively involved in supervising PhD and Master’s students and in building interdisciplinary collaborations across academia, industry, and public institutions, aiming to translate advanced AI research into impactful real-world solutions.

Department of Civil Engineering, Reader in Railway and Civil Engineering, The University of Birmingham, Edgbaston B152TT, UK;
Dr Kaewunruen is a reader in railway and civil engineering at the University of Birmingham, UK. He has more than 25 years experience in industry and academia, with over 600 technical publications and evidence-based consultancy reports and has served on the editorial boards of many reputable international journals. He was a winner of Europe's Trasport Research Arena Vision Award in 2020, and has been consistently ranked in the World's Top 100 Most Cited Scientists in Civil Engineering by Stanford University & Elsevier. His research is fully transformative and has unlocked the real-world impacts through the standard developments, industry design and maintenance guidelines, policy recommendation, and product innovation.

Institute of the Building Environment & Sustainability Technology, School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China;

Department of Electrical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 807618, Taiwan;
Mahmoud Elsisi, Ph.D., IEEE Senior Member, is an Associate Professor in the Department of Electrical Engineering at the National Kaohsiung University of Science and Technology (NKUST), Taiwan. He previously served as an Assistant Professor at the Industry 4.0 Implementation Center, National Taiwan University of Science and Technology (NTUST), and Benha University in Egypt. Dr. Elsisi received his B.Sc., M.Sc., and Ph.D. degrees in Electrical Engineering from Shoubra, Benha University, Egypt, in 2011, 2014, and 2017, respectively. His research focuses on reliable Internet of Things (IoT), predictive control, and machine learning to develop intelligent and resilient systems. His work integrates model predictive control, deep learning, fault diagnosis, and neural networks to optimize the performance, reliability, and security of IoT-based infrastructures, particularly in smart grids, renewable energy, autonomous vehicles, and cyber-physical systems. Dr. Elsisi has secured over 20 million NTD in research grants, with over 85 publications in leading journals and an H-index of 44. He has made significant contributions to AI-driven energy systems, IoT-based environmental monitoring, and predictive maintenance. Dr. Elsisi actively mentors M.Sc. and Ph.D. students and has extensive experience bridging academia with industry applications.

Department of Management, Finance and Technology, LUM University “Giuseppe Degennaro”, Casamassima, Italy;
Cosimo Magazzino is a Full Professor at the Department of Management, Finance and Technology, LUM University “Giuseppe Degennaro” (Italy). His research interests include public finance, energy economics, environmental sustainability, circular economy, waste management, transportation infrastructure, agricultural economics, Machine Learning experiments, and Artificial Neural Network analyses. He has vast experience in publications and reviews for top publishers like Elsevier, Taylor & Francis, Wiley, Springer, Sage, Inderscience, etc. Moreover, he has published over 250 research articles in international journals (11,200+ citations and H-Index 61). He serves as an Editor, Associate Editor, member of the Editorial Board, and Reviewer of numerous journals. Also, he is among the World's Top 2% Scientists List published by Stanford University (2021-2024).