Shang-Kuo Yang was born in Taiwan. He received the B.S. in 1982 and the M.S. in 1985 in Automatic Control Engineering from Feng Chia University, Taiwan. From 1985 to 1991, he was an assistant researcher and an instrumentation system engineer of the Flight Test Group, Aeronautic Research Laboratory, Zhong Shan Institute of Science and Technology, Taiwan. From 1991 to 2006, he was with the Department of Mechanical Engineering at National Chin Yi University of Technology, Taiwan. He received the Ph.D. in 1999 in Mechanical Engineering from National Chiao Tung University, Taiwan. Since 2006/08, he has been with the department of Mechanical Engineering of the university, where he is a full professor. He is a member of the American Society of Mechanical Engineers (ASME), and his biographical profile is embodied in the Marquis Who’s Who in the World. His administration experiences in the university are 2001/08–2003/12 Director of the business incubator; 2003/08–2004/07 Director of the library; 2004/08–2006/01 Chairman of the Department of Mechanical Engineering; and 2006/02–2007/01 Dean of student affairs. His research interests are in reliability engineering, data acquisition systems, biomedical engineering (cardiac pacemakers, patient nursing monitoring, ear stone restoration, and drunk-driving prevention), and automation.

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. Pavan Kalyan Lingampally holds a Ph.D. in Robotics and Automation Engineering, with significant expertise in wearable exoskeletons, biomechanical modelling, human–robot interaction, and intelligent assistive systems. His academic and research experience spans robotics, mechatronics, and advanced manufacturing. He is currently an Assistant Professor in the Department of Mechanical Engineering at GITAM (Deemed to be University), Bengaluru Campus, where he is involved in research supervision, laboratory development, and teaching in Robotics, Automation, and AI. He has previously served at VIT University, HITS University, and SASTRA University, contributing to curriculum development, research guidance, and research infrastructure establishment.

Assoc. prof. Ing. Milan Guzan, PhD., serves at the Technical University of Košice in the Department of Theoretical and Industrial Electrical Engineering. He holds a Ph.D. in Electrotechnics and has been active in research involving chaos-generating systems, nonlinear circuits, boundary surfaces, metrology, sensors, and particulate matter measurement. He has contributed significantly to scientific research, teaching, and conference activities.

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.

Dr. R. M. Kuppan Chetty is a Professor in the School of Mechanical Engineering at SASTRA Deemed University, India. He holds a Ph.D. in Robotics (Multi-Robot Systems) from IIT Madras and has extensive experience in robotics, mechatronics, and intelligent systems across academia, research, and industry. He has previously served in leadership and faculty roles at Hindustan Institute of Technology and Science (HITS), Monash University (Malaysia), VIT, and as Managing Partner of RACE Robotics, Chennai. He has executed several national and international funded research projects, collaborated with global universities, and holds multiple Indian patents in assistive devices, rehabilitation robotics, quadruped robots, and wearable supportive systems. He is a Fellow and Chartered Engineer of The Institution of Engineers (India), Senior Member of IEEE, Member of IET, and serves as Review Editor for Frontiers in Robotics & AI.

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.

I am Muhammad Mubashir, a researcher and engineer specialization in computational mechanics, finite element analysis (FEA), and advanced material modeling. My research focuses on the structural performance of composite and cellular materials, nonlinear buckling behavior of aerospace structures, impact and damage mechanisms under dynamic loading conditions. I have an extensive experience of using numerical simulation tools such as ANSYS, Abaqus, and LS-DYNA for solving complex engineering problems, including composite pressure vessels, corrugated fuselage structures, honeycomb cellular systems, and bird-strike impact modeling. I recently, contributed to various multidisciplinary research projects in aerospace and mechanical engineering, with publications and ongoing work covering numerical modeling, optimization, and experimental validation of advanced structures. His expertise extends to quasi-static and dynamic simulation methods, material characterization, fatigue and creep analysis, fluid-structure interaction, and design of experiments (DOE) for structural optimization. I also serves as a reviewer for scientific journals and international conferences in mechanical, aerospace, and materials engineering. My strong academic background and hands-on analytical, simulation and research can help in peer-review process, ensuring high standards of scientific quality and clarity in published works.