Dr. Xin Lu is an Associate Professor of Computer Science at Leeds Trinity University, specializing in big data analytics, deep learning, cybersecurity for IoT, and intelligent systems. He holds a PhD in Computer Science from Loughborough University, supported by earlier master’s and bachelor’s degrees from the UK and China. With over a decade of international research experience across multiple UK universities including Coventry University, Bournemouth University, and South Wales—Dr. Lu has contributed extensively to intelligent manufacturing, digital healthcare, Smart City applications, and human–robot collaboration. He leads the Human–Robot Collaboration & Intelligent IoT Lab and serves in strategic university research leadership roles, including Research Director and Deputy Chair of the Faculty Ethics Committee. His current work explores digital twins, embedded machine learning (TinyML), data-driven system optimization, and the role of Generative AI in higher education. Dr. Lu has secured significant EU, UK OfS, ACU, and institutional funding, published 60+ scientific works, and served as Guest Editor and reviewer for multiple international journals.

Dr. Wangdo Kim is a biomechanics researcher and professor with a long career in mechanical engineering and human movement science. He currently serves as Professor in Biomechanics at UTEC in Lima, Peru. His background spans multiple countries-including the USA, Korea, Portugal, and Singapore-holding academic and research roles in universities such as Seoul National University, Nanyang Technological University, Portland State University, and the Technical University of Lisbon. His expertise includes orthopaedic biomechanics, knee-joint function, human movement coordination, and computational modeling.

Professor Yousef Farhaoui is a faculty member in the Department of Computer Science at the Faculty of Sciences and Techniques of Errachidia, Moulay Ismail University, Morocco. He is the Director of the IMIA Research Laboratory and is internationally recognized among the top 2% most influential researchers worldwide according to the Stanford & Elsevier rankings for 2023–2025. His work spans machine learning, big data, artificial intelligence, cybersecurity, and decision support systems. He has supervised several PhD theses, coordinated major academic programs, and played leading roles in many international conferences and scientific events.

Muhammad Mubashir is an Assistant Manager (Structural Analysis) at the National Aerospace Science and Technology Park (NASTP), Pakistan, specializing in structural analysis, finite element analysis, and computational design of aerospace and mechanical engineering systems. His professional work focuses on the structural evaluation of manned and unmanned aircraft components, including load-bearing capacity, structural efficiency, failure mechanisms, and performance optimization using analytical and numerical approaches.He holds an M.Sc. in Mechanical Design Engineering from the University of Engineering and Technology (UET), Lahore, where his master's research focused on the design and optimization of mechanical horns for rotary ultrasonic machining of advanced composite materials. He earned his B.Sc. in Mechanical Engineering from Bahauddin Zakariya University (BZU).His research and engineering experience includes finite element analysis, structural optimization, ultrasonic horn design, composite materials, aircraft wing design, buckling analysis, and computational structural mechanics. He has published research in international journals including Springer Nature journals and Sensors, addressing topics such as aerospace structural optimization, ultrasonic machining, composite material selection, and vibration analysis.He has also served as a Lab Engineer and Visiting Faculty Member at Bahauddin Zakariya University, where he conducted laboratory sessions and provided practical training in ANSYS-based finite element analysis. His technical expertise includes ANSYS, ABAQUS, LS-DYNA, CATIA, SolidWorks, Python, and MATLAB.

I received the Ph.D. degree  from Shandong University, Jinan, China, in 2016. I am currently a Professor in the School of Information Science and Electrical Engineering（School of Artificial Intelligence）, Shandong Jiaotong University. I am the head of the Department of Robotics at Shandong Jiaotong University, and my research field is intelligent robots.

Dr. Mojtaba Ahmadieh Khanesar is a Senior Member of IEEE and a Research Fellow at the University of Nottingham, UK. He holds B.Sc., M.Sc., and Ph.D. degrees in Control Engineering from K. N. Toosi University of Technology, Tehran, Iran. He has held academic and research positions in Iran, Denmark, Turkey, and the United Kingdom. His research contributions span optical metrology, robotics, machine learning, AI, and control systems. He has authored or co-authored more than 130 scientific publications, including journal papers, conference papers, and two books. He has supervised PhD and MSc students, taught both undergraduate and postgraduate courses, and served in several editorial roles for international journals.