A.M. Abazari received BS degree from Tabriz University in 2008 and M.Sc. degree from Urmia University in 2010 in mechanical engineering. He went to Isfahan University of Technology (IUT) in 2011 and received his Ph.D. in 2016; He has also spent a research period at EPFL, Switzerland. He currently serves as an associate professor in the mechanical engineering department at Urmia University. His current research interests are in the fields of new technologies for energy harvesting, sensing and biomechanics: design, fabrication, and characterization. Dr. As'ad Alizadeh is a academic staff in the college of engineering, Cihan University-Erbil, Kurdistan Region, Iraq. He has a Ph.D. degree in Mechanical Engineering (Energy Conversion). His research interest includes Heat Transfer , Fluid Mechanics , Renewable Energy and Machine Learning . Dr. As'ad Alizadeh has published many articles in these fields in scientific journals. Dr. As'ad Alizadeh has been listed among the top 2% of scientists worldwide according to the Stanford ranking in 2024. Dr. Mostafa Barzegar Gerdroodbary is currently engaged as a Visiting Researcher at the Universidade da Beira Interior in Covilhã, Portugal. With over 10 years of experience in the mechanical and aerospace Engineering field, he has established expertise in computational fluid dynamics (CFD) modeling for various engineering challenges. His current research interests encompass a broad spectrum, including biomechanics, machine learning, renewable energy, and heat transfer. Recognized for his significant contributions to the scientific community, Dr. Barzegar Gerdroodbary has been listed among the top 2% of scientists worldwide according to the Stanford ranking since 2019. His scholarly output includes over 100 journal articles and three authored books, all published through prestigious journals and publishers. Dr. Salavatidezfouli is a researcher at the International School for Advanced Studies (SISSA) in Trieste, Italy. His research interests include applied mathematics, model order reduction, and scientific machine learning. Dr. Salavatidezfouli has contributed to numerous publications and conferences in these fields.