Assoc. Prof. Dr.Ā Seyed Mohammad Seyedpoor | Civil | Best Researcher AwardĀ
Assoc. Prof. Dr at Shomal University,Ā Iran
Seyed Mohammad Seyedpour is an accomplished Associate Professor of Structural Engineering at Shomal University, Amol, Iran. He has a distinguished academic career focused on civil engineering research and education. Dr. Seyedpourās scholarly output includes over 50 publications with notable citation indices across Scopus, Google Scholar, and ResearchGate, emphasizing his impactful contributions to the field. Dedicated to advancing structural optimization and innovative engineering solutions, he balances his academic role with leadership positions, having served as Head of the Civil Engineering Department. His dedication to excellence in teaching and research has established him as a respected figure in structural engineering circles.
Profile
Education š
Ā Experience š¼
Dr. Seyedpour has extensive teaching and professional experience spanning nearly two decades. Since 2016, he has served as an Associate Professor at Shomal University, having previously held positions as an Assistant Professor (2009-2016) and Instructor (2005-2009). He has taught at other notable institutions, including the University of Mazandaran and Islamic Azad University. His administrative roles include being the Head of the Civil Engineering Department at Shomal University (2023-present, 2010-2014) and Director of Graduate Studies (2015-2017). Dr. Seyedpourās tenure highlights his commitment to academia, mentorship, and leadership in engineering education.
Awards and Honors š
Dr. Seyedpourās career is marked by significant academic recognition and achievements. His research excellence is reflected in an impressive h-index of 21 on both Google Scholar and ResearchGate, with over 1,600 citations to his name. His expertise in structural engineering software and optimization algorithms has earned him accolades within the academic and engineering communities. In addition, his longstanding contributions to teaching, innovative research methodologies, and leadership roles have fortified his reputation as a dedicated and influential figure in his field.
Research Focus š
Conclusion š
Ā Dr. Seyedpourās exemplary academic and research career, coupled with his leadership roles and technical expertise, make him a strong contender for a Best Researcher Award. His substantial contributions to structural engineering through advanced optimization methods, health monitoring, and machine learning applications are commendable. Addressing opportunities for greater international exposure and cross-disciplinary collaboration could further enhance his research impact and strengthen his candidacy for future recognitions.
Publications š
- Title: A two stage method for structural damage detection using a modal strain energy based index and particle swarm optimization
Year: 2012
Author: SM Seyedpoor
Journal: International Journal of Non-Linear Mechanics 47 (1), 1-8
- Title: Structural damage detection using an efficient correlation-based index and a modified genetic algorithm
Year: 2011
Authors: M Nobahari, SM Seyedpoor
Journal: Mathematical and Computer Modelling 53 (9-10), 1798-1809
- Title: A new damage detection indicator for beams based on mode shape data
Year: 2015
Authors: O Yazdanpanah, SM Seyedpoor
Journal: Structural Engineering and Mechanics 53 (4), 725-744
- Title: An efficient indicator for structural damage localization using the change of strain energy based on static noisy data
Year: 2014
Authors: SM Seyedpoor, O Yazdanpanah
Journal: Applied Mathematical Modelling 38 (9-10), 2661-2672
- Title: An efficient method for structural damage localization based on the concepts of flexibility matrix and strain energy of a structure
Year: 2013
Authors: M Nobahari, SM Seyedpoor
Journal: Structural Engineering and Mechanics 46 (2), 231-244
- Title: Optimum shape design of arch dams for earthquake loading using a fuzzy inference system and wavelet neural networks
Year: 2009
Authors: SM Seyedpoor, J Salajegheh, E Salajegheh, S Gholizadeh
Journal: Engineering Optimization 41 (5), 473-493