Dr. Yanan Camaraza-Medina is a Postdoctoral Fellow in the Department of Mechanical Engineering, University of Guanajuato, Mexico. He received his M.Sc. in thermal engineering from the Universidad de Matanzas “Camilo Cienfuegos” in 2011 and the M.Sc. in electrical engineering from the Universidad Central de Las Villas “Marta Abreu” in 2015. He received his Ph.D. (Doctor in Technical Sciences) from the Universidad Central de Las Villas “Marta Abreu” in 2019. His research interests include problems of the heat transfer and fluid mechanics, with a special focus on thermal radiation, convective heat transfer and numerical modeling of thermal processes. He is a member of Editorial Advisory Board of three Scopus Indexed Journals, Mathematical Modelling of Engineering Problems (IIETA), Journal Européen des Systèmes Automatisés (IIETA), Recent Patents on Engineering (Bentham Science). Dr. Camaraza-Medina is the author and coauthor of more than 60 papers and several books.

Ir Prof Pak Kin Wong received the Ph.D. degree in Mechanical Engineering from The Hong Kong Polytechnic University, Hong Kong, in 1997. He is currently a Professor in the Department of Electromechanical Engineering, Department of Biomedical Engineering and Dean of Graduate School, University of Macau. He is also the Fellow of the Hong Kong Institution of Engineers and Chartered Fellow of Chartered Association of Building Engineers, U.K. His research interests include automotive engineering and intelligent medical engineering. He has published over 462 scientific papers in refereed journals, book chapters, and conference proceedings. 332 out of 462 are refereed journal papers. He is also top 2% Scientists Worldwide.

Associate Professor Dr Meral Özarslan Yatak is a lecturer in the Department of Electrical and Electronic Engineering at the Faculty of Technology, Gazi University. She completed her PhD at the Institute of Information Sciences, Gazi University, and conducts research in the fields of control systems, power electronics, electrical machines, renewable energy systems and artificial intelligence-based engineering applications.

Her research focuses particularly on the application of deep learning and fuzzy logic methods to fault diagnosis in electrical machines, smart control systems and industrial automation applications. She has participated in projects funded by TÜBİTAK and the university, and has numerous scientific publications and conference papers in national and international journals.

Dr. Gang Li is an Assistant Professor in Michael W. Hall School of Mechanical Engineering and Assistant Director of DOE Industrial Training and Assessment Center (ITAC) at Mississippi State University. Dr. Li is a recipient of the NSF EPSCoR Research Fellow Award, NAS GRP Early Career Award, and DOE EnergyTech UP Faculty Explorer Award. His research interests include the fields of renewable energy technologies, applied artificial intelligence, dynamics and vibration, control theory, condition monitoring algorithms, structural health monitoring, and life cycle assessment, and involve AI for engineering, numerical simulation, experimental validation, and industrial application.  Dr. Li's research has been funded by NSF, DOE, the Maryland Energy Innovation Institute's Energy Innovation Seed Grant, the Maryland Technology Development Corporation’s Maryland Innovation Initiative (MII) Grant, the Maryland Offshore Wind Energy Research (MOWER) Challenge Grant Program, General Electric (GE), and Baltimore Gas and Electric (BGE).  Dr. Li is a member of ASME, IEEE, and SAE International.

Dr. Ramazan Şener is an expert in thermofluids, CFD and ICEs. He earned his PhD at Marmara University focusing on engine performance improvement and emissions reduction using advanced simulation tools and experimental methods. He also had the opportunity to conduct his research at the University of Catania, Italy. He is currently an Associate Professor at Bandirma Onyedi Eylul University, where he teaches and conducts research in thermofluids, optimization, ICEs, and renewable energy systems.

Faruk Emre Aysal received his B.Sc. degree in Mechanical Engineering from Pamukkale University in 2011 and his M.Sc. degree in Mechanical Engineering from Afyon Kocatepe University in 2014, where he focused on vehicle dynamics and the simulation and modeling of vehicle transmissions. He received his Ph.D. in Mechanical Engineering from Afyon Kocatepe University in 2020, where he developed algorithms for solving nonlinear engineering problems using the Differential Quadrature Method (DQM). He worked as a Research Assistant in the Department of Automotive Engineering at Afyon Kocatepe University between 2012 and 2021, and served as an Assistant Professor in the Department of Mechatronics Engineering at the same university from 2021 to 2024. Since 2024, he has been working as an Assistant Professor in the Department of Mechanical Engineering at Giresun University. His research interests include vehicle technologies, computational methods, optimization techniques, dynamic system modelling, suspension systems, machine learning applications in engineering, and advanced simulation techniques.