Editorial Board

Editor-in-Chief

Zhang Fengyun, Southwest University. China 

Dr. Zhang is a prominent researcher in the fields of artificial intelligence, indoor positioning, robotics, intelligent systems, wireless sensor networks, and industrial IoT. Over the years, he has contributed some impactful papers to leading SCI journals, including IEEE Internet of Things Journal, IEEE Sensors Journal, Cognitive Neurodynamics, and Computer Communications.

https://orcid.org/0000-0001-8274-0616

Associate Editors

Rafael Rivera-Lopez, Instituto Tecnológico de Veracruz, Mexico
Prof. Rafael Rivera-Lopez specializes in artificial intelligence, meta-heuristics, and optimization algorithms. A Research Professor with expertise including evolutionary computation, swarm intelligence, and bio-inspired computing. His work focuses on solving complex problems and advancing adaptive intelligence through innovative computational methods.

Alma Mallo, Universidade da Coruña, Spain
Prof. Alma Mallo, an Associate Professor at Universidade da Coruña, specializes in computer engineering with a focus on artificial intelligence, data science, and optimization techniques. Her research includes innovative approaches to problem-solving in computational systems and intelligent technologies.

Jiening Wu, Southwest University, China
Dr. Jiening Wu is a prominent researcher specializing in artificial intelligence, memristor technologies, neural networks, and the controllability of complex networks. 

Ebenezer Owusu, University of Ghana, Ghana
Dr. Ebenezer Owusu is a distinguished researcher with expertise in artificial intelligence, data science, and computational modeling. 

Li Luo, Southwest University, China
Research Field: Artificial intelligent，Memristor, In-memory computing, Nonlinear Circuit

Mauricio Solar, Universidad Técnica Federico Santa María, Chile
Prof. Mauricio Solar is a leading researcher at Universidad Técnica Federico Santa María in Chile. His work spans artificial intelligence, distributed computing, and advanced computational systems. With a focus on innovative methodologies, he contributes to solving complex challenges in technology and systems optimization.

Roque J. Saltarén, Universidad Politécnica de Madrid, Spain
Dr. Roque J. Saltarén is an Associate Professor at Universidad Politécnica de Madrid. His expertise lies in robotics, automation, and intelligent control systems. His research focuses on developing advanced robotic technologies and innovative solutions for automation and intelligent systems integration.

David Escudero-Mancebo, University of Valladolid, Spain
Dr. David Escudero-Mancebo is a researcher at the University of Valladolid specializing in natural language processing, speech processing, and machine learning. His work focuses on developing adaptive systems and AI-driven methodologies for language understanding and system optimization.  

Javier Sedano, Instituto Tecnológico de Castilla y León, Spain
Dr. Javier Sedano is the Head of the Department at the Instituto Tecnológico de Castilla y León, specializing in artificial intelligence, machine learning, and intelligent systems. His research focuses on the development of adaptive technologies and innovative AI methodologies to address complex challenges in computing and intelligent systems design.

Ricardo Rodriguez-Jorge, CEIT Centro de Estudios e Investigaciones Técnicas de Gipuzkoa, Spain
Dr. Ricardo Rodriguez-Jorge is a Research Scientist at CEIT Centro de Estudios e Investigaciones Técnicas de Gipuzkoa. With a Ph.D. in Mechanical Engineering and expertise in control and systems engineering, his research focuses on adaptive control, system dynamics, and intelligent engineering solutions.

Chaabane Djeraba, University of Lille, France
Dr. Chaabane Djeraba is a Professor of Computer Science at the University of Lille, specializing in data science, multimedia computing, and computer vision. His research focuses on high energy-efficient learning systems using bio-inspired approaches for dynamic pattern recognition and computer vision tasks. 

Anwar Hossain, Queen's University, Canada
Dr. Anwar Hossain is an Associate Professor in the School of Computing at Queen's University, specializing in cloud computing, big data, and scalable data processing systems. His work focuses on designing adaptive computing frameworks to manage and process large-scale data efficiently. With expertise in machine learning and software engineering

Lina Markauskaite, University of Sydney, Australia
Professor Lina Markauskaite is a leading expert in learning sciences, technology-enhanced learning, and professional development. Her research focuses on how individuals develop complex knowledge and skills in digital and AI-driven learning environments. She is a co-director at the Centre for Research on Learning and Innovation (CRLI) at the University of Sydney.

Amit Konar, Jadavpur University, India
Professor Amit Konar specializes in artificial intelligence, robotics, and machine learning. His contributions include research in adaptive and cognitive learning systems, fuzzy logic, and knowledge representation. He has published extensively in AI-driven adaptive learning models and decision-making algorithms.

Joyce Hwee Ling Koh, University of Auckland, New Zealand
Professor Joyce Koh focuses on educational technology, instructional design, and digital learning environments. She has contributed to research on adaptive learning technologies that enhance teacher education and student-centered learning.

Masashi Sugiyama, University of Tokyo, Japan
Professor Masashi Sugiyama is a distinguished researcher in machine learning, focusing on transfer learning, domain adaptation, and continual learning. He leads the Research Center for AI at RIKEN and has authored influential works in AI-driven adaptive systems.

Dacheng Tao, University of Sydney, Australia
Professor Dacheng Tao is a world-renowned AI researcher specializing in deep learning, multitask learning, and knowledge transfer. His work spans across AI applications in healthcare, finance, and smart cities. He has received multiple prestigious awards for his contributions to AI research.

Tze Yun Leong, National University of Singapore
Professor Tze Yun Leong is a prominent researcher in AI, machine learning, and decision support systems. Her work includes developing responsible AI models for adaptive learning and healthcare decision-making. She has served on various advisory boards for AI policy and research.

Longbing Cao, University of Technology Sydney, Australia
Professor Longbing Cao is a leader in data science and artificial intelligence, with expertise in behavior informatics, deep learning, and continual learning. His research focuses on scalable AI solutions and their applications in complex dynamic environments.

Jie Lu, University of Technology Sydney, Australia
Professor Jie Lu is a globally recognized expert in machine learning, fuzzy systems, and transfer learning. She leads pioneering research in adaptive intelligence and lifelong learning systems, contributing significantly to AI-driven decision-making processes.

Ben Daniel, University of Otago, New Zealand
Professor Ben Daniel is an expert in AI-driven learning analytics, educational data mining, and cognitive modeling. His research explores how AI can enhance learning personalization and knowledge retention in digital education systems.

Ruili Wang, Massey University, New Zealand
Professor Ruili Wang specializes in computational intelligence, speech and language processing, and real-time adaptive learning models. His research contributes to the advancement of AI-driven human-machine interaction and lifelong learning systems.

Sungmin Cha, New York University (formerly Korea University)
Professor Sungmin Cha’s research focuses on continual learning, reinforcement learning, and adaptive AI systems. His work on neural network memory retention and lifelong AI applications has been widely cited in academic and industry research.

Pan Hui, Hong Kong University of Science and Technology
Professor Pan Hui specializes in computational media, mobile AI, and human-computer interaction. His research explores adaptive AI in smart environments and augmented reality, bridging academia and industry applications in AI-driven learning.

Sunita Sarawagi, Indian Institute of Technology Bombay, India
Professor Sunita Sarawagi is a renowned expert in machine learning, data mining, and natural language processing. Her research focuses on AI systems that can adapt and evolve in real-world environments, contributing significantly to continual learning methodologies.

Managing Editors
Rexford Sosu
Han Cheng

Copy Editor
Jaweria Zaib