Farzad Pashmforoush | composite materials | Best Researcher Award
Assoc. Prof. Dr. Farzad Pashmforoush , Best Researcher Award , Iran.
Dr. Farzad Pashmforoushย ย is an Associate Professor at the University of Maragheh, specializing inย Mechanical Engineering. With a Ph.D. from Amirkabir University of Technology (2015), his expertise spansย composite materials, finite element analysis, artificial intelligence, and non-destructive testing. His research contributions, recognized withย 411 citations and an h-index of 9ย
, focus onย damage identification, numerical modeling, and advanced manufacturing techniques. Dr. Pashmforoush has authored numerousย high-impact publicationsย
ย and continues to push the boundaries ofย mechanical engineering and material sciencesย with innovative methodologies.ย
Publication Profile
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Education & Experience
ย Bachelorโs (2005-2009):ย Mechanical Engineering, University of Tabriz (Ranked 1st, 18.86 GPA)
ย Masterโs (2009-2011):ย Mechanical Engineering, Amirkabir University of Technology (Ranked 1st, 18.52 GPA)
ย Ph.D. (2011-2015):ย Mechanical Engineering, Amirkabir University of Technology (19.26 GPA)
ย Current Position:ย Associate Professor, University of Maraghehย
Suitabilty Summary
Dr. Farzad Pashmforoush, anย Associate Professor at the University of Maragheh, has made outstanding contributions to the field ofย mechanical engineering, composite materials, and non-destructive testing (NDT). Hisย pioneering research in damage characterization, artificial intelligence applications in material analysis, and advanced manufacturing techniquesย has significantly impacted the scientific community, making him a strong candidate for theย Best Researcher Award.
Professional Development
Dr. Pashmforoush is actively engaged inย cutting-edge research and academic mentoringย . He has pioneered advancements inย composite material behavior, AI-driven structural analysis, and non-destructive evaluationย
. His research integratesย numerical simulations, experimental techniques, and machine learning algorithmsย
ย to enhance manufacturing and material testing. With extensiveย experience in FEM modeling and fracture mechanics, he collaborates with global researchers to developย robust, high-performance materialsย
. His contributions significantly impactย aerospace, automotive, and civil engineering applications, making him a distinguished figure inย mechanical and materials engineering.ย
Research Focus
Dr. Pashmforoushโs research spans multiple domains of mechanical and material sciences . His work on composite materials explores damage identification and characterization using advanced acoustic emission techniques
. He employs finite element modeling (FEM) for fracture mechanics simulations
and integrates artificial intelligence and deep learning
for autonomous damage recognition in composite structures. His studies also delve into non-destructive testing (NDT), optical glass finishing, and nanocomposite material analysis
. His research aims to enhance the durability, performance, and sustainability of advanced engineering materials
, bridging the gap between experimental mechanics and AI-driven simulations.
Awards & Honors
ย 1st Rankย in B.Sc. & M.Sc. Mechanical Engineering
ย Outstanding Researcher Awardย in Composite Materials & FEM
ย Best Ph.D. Dissertation Awardย on Magnetic Abrasive Finishingย
ย Numerous High-Impact Publicationsย with 400+ Citationsย
ย Recognized Reviewerย for Leading Scientific Journalsย
Publications Top Notes
ย Autonomous damage recognition in visual inspection of laminated composite structures using deep learningย โ S Fotouhi, F Pashmforoush, M Bodaghi, M Fotouhi |ย Composite Structuresย (2021) |ย
ย Cited by: 87
ย Characterization of composite materials damage under quasi-static three-point bending test using wavelet and fuzzy C-means clusteringย โ M Fotouhi, H Heidary, M Ahmadi, F Pashmforoush |ย Journal of Composite Materialsย (2012) |ย
ย Cited by: 86
ย Damage classification of sandwich composites using acoustic emission technique and k-means genetic algorithmย โ F Pashmforoush, R Khamedi, M Fotouhi, M Hajikhani, M Ahmadi |ย Journal of Nondestructive Evaluationย (2014) |ย
ย Cited by: 83
ย Acoustic emission-based damage classification of glass/polyester composites using harmony search k-means algorithmย โ F Pashmforoush, M Fotouhi, M Ahmadi |ย Journal of Reinforced Plastics and Compositesย (2012) |ย
ย Cited by: 72
ย Damage characterization of glass/epoxy composite under three-point bending test using acoustic emission techniqueย โ F Pashmforoush, M Fotouhi, M Ahmadi |ย Journal of Materials Engineering and Performanceย (2012) |ย
ย Cited by: 66