Researcher at Huaqiao University, China.
Dr. Aliakbar Emamverdian is a distinguished mechanical engineer specializing in manufacturing and automation. With expertise in metal forming, failure analysis, and non-destructive testing, Dr. Emamverdian has contributed significantly to material characteristics and life prediction studies. Currently a lecturer and researcher at Huaqiao University, China, he has an impressive track record of research and teaching in leading academic institutions worldwide. His work emphasizes combining cutting-edge techniques such as optical scanning with neural network modeling to enhance mechanical engineering practices. Dr. Emamverdian is passionate about bridging academic theories with industrial applications to solve real-world challenges.
Professional Profiles
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Education 
Dr. Emamverdian began his academic journey with a Bachelor of Science in Mechanical Engineering from Islamic Azad University. He pursued a Master’s in Manufacturing Engineering at Eastern Mediterranean University, Cyprus, completing it in February 2013. Dedicated to advanced research, he earned his Ph.D. in Mechanical Engineering, specializing in Manufacturing and Automation, from Nanjing University of Science and Technology (NJUST) in February 2023. His education underscores a robust foundation in mechanical engineering, augmented by hands-on research in failure mechanisms, material behavior, and intelligent manufacturing systems. Dr. Emamverdian’s academic milestones reflect his commitment to advancing the field through innovative research and multidisciplinary expertise.
Professional Experience
Dr. Emamverdian has extensive experience as a lecturer and researcher. Since September 2023, he has served at Huaqiao University, China, teaching and mentoring in mechanical engineering. From 2016 to 2019, he was a research assistant at NJUST, focusing on advanced material characteristics and degradation mechanisms. Earlier, between 2013 and 2016, he contributed as an assistant lab instructor at Eastern Mediterranean University, Cyprus. His career reflects a seamless blend of academic rigor and practical research, with a focus on developing innovative solutions to mechanical engineering challenges.
Research Focus 🔍
Dr. Emamverdian’s research revolves around mechanical engineering, manufacturing automation, and material failure analysis. He is particularly interested in hot forging tools, degradation mechanisms, and neural network modeling. His studies utilize simulation, microstructural evolution, and non-destructive testing to predict material behavior and optimize manufacturing systems. Passionate about bridging academia and industry, his work contributes to developing innovative solutions for sustainable and efficient production methods.
Skills
Dr. Emamverdian is proficient in teaching mechanical engineering and intelligent manufacturing courses, writing research and review articles, and using advanced engineering software. He excels in CATIA V5, SOLIDWORKS, ABAQUS, DEFORM, MATLAB (neural networks, fuzzy logic), and SEM analysis. He is fluent in Farsi, English, and Turkish, enabling effective collaboration in diverse settings.
Awards and Honors
Dr. Emamverdian’s accomplishments include publishing impactful research articles in high-ranking journals and co-authoring technical books on competency design for manufacturing systems. His recognition in international conferences and collaborations with renowned academics underscores his dedication to the field. As a Ph.D. scholar, his innovative methodologies in optical scanning and material failure prediction garnered attention and praise. He remains committed to advancing mechanical engineering knowledge through impactful research and global collaboration.
Conclusion 
Dr. Aliakbar Emamverdian is a strong candidate for the Best Researcher Award due to his impactful contributions to mechanical engineering, particularly in the areas of hot forging and failure analysis. His diverse skill set, innovative methodologies, and consistent academic output position him as a deserving recipient. By broadening interdisciplinary applications and industry engagement, his work could further elevate its global significance.
Publcations to Noted
Title: Current failure mechanisms and treatment methods of hot forging tools (dies)-a review
Authors: AA Emamverdian, Y Sun, C Cao, C Pruncu, Y Wang
Citations: 73
Year: 2021
Title: Deformation and wear in a H21 (3Cr2W8V) steel die during hot forging: Simulation, mechanical properties, and microstructural evolution
Authors: AA Emamverdian, Y Sun, C Chunping
Citations: 22
Year: 2021
Title: The interaction of vortices induced by a pair of microjets in the turbulent boundary layer
Authors: MJ Pour Razzaghi, C Xu, A Emamverdian
Citations: 7
Year: 2021
Title: Prediction of the main degradation mechanisms in a hot forging steel die: Optical scanning, simulation, microstructural evolution, and neural network modeling
Authors: A Emamverdian, C Pruncu, H Liu, A Rahimzadeh, L Lamberti
Year: 2025
Title: Corrigendum to “Deformation and wear in a H21 (3Cr2W8V) steel die during hot forging: simulation, mechanical properties, and microstructural evolution”
Authors: AA Emamverdian, Y Sun, C Chunping
Year: 2022
Title: Design of a competency-based information and knowledge model for a manufacturing system: Case study EMU CIM Lab
Authors: AA Emamverdian
Year: 2013