Farzad Pashmforoush | composite materials | Best Researcher Award

Farzad Pashmforoush | composite materials | Best Researcher Award

Assoc. Prof. Dr. Farzad Pashmforoush , Best Researcher Award , Iran.

Dr. Farzad Pashmforoush 🎓 is an Associate Professor at the University of Maragheh, specializing in Mechanical Engineering. With a Ph.D. from Amirkabir University of Technology (2015), his expertise spans composite materials, finite element analysis, artificial intelligence, and non-destructive testing. His research contributions, recognized with 411 citations and an h-index of 9 📊, focus on damage identification, numerical modeling, and advanced manufacturing techniques. Dr. Pashmforoush has authored numerous high-impact publications 📑 and continues to push the boundaries of mechanical engineering and material sciences with innovative methodologies. 🚀

Publication Profile

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Education & Experience

📌 Bachelor’s (2005-2009): Mechanical Engineering, University of Tabriz (Ranked 1st, 18.86 GPA)
📌 Master’s (2009-2011): Mechanical Engineering, Amirkabir University of Technology (Ranked 1st, 18.52 GPA)
📌 Ph.D. (2011-2015): Mechanical Engineering, Amirkabir University of Technology (19.26 GPA)
📌 Current Position: Associate Professor, University of Maragheh 🏫

Suitabilty Summary

Dr. Farzad Pashmforoush, an Associate Professor at the University of Maragheh, has made outstanding contributions to the field of mechanical engineering, composite materials, and non-destructive testing (NDT). His pioneering research in damage characterization, artificial intelligence applications in material analysis, and advanced manufacturing techniques has significantly impacted the scientific community, making him a strong candidate for the Best Researcher Award.

Professional Development

Dr. Pashmforoush is actively engaged in cutting-edge research and academic mentoring 🎯. He has pioneered advancements in composite material behavior, AI-driven structural analysis, and non-destructive evaluation 🛠️. His research integrates numerical simulations, experimental techniques, and machine learning algorithms 🤖 to enhance manufacturing and material testing. With extensive experience in FEM modeling and fracture mechanics, he collaborates with global researchers to develop robust, high-performance materials 🌍. His contributions significantly impact aerospace, automotive, and civil engineering applications, making him a distinguished figure in mechanical and materials engineering🔬✨

Research Focus

Dr. Pashmforoush’s 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

🏆 1st Rank in B.Sc. & M.Sc. Mechanical Engineering
🏆 Outstanding Researcher Award in Composite Materials & FEM
🏆 Best Ph.D. Dissertation Award on Magnetic Abrasive Finishing 🏅
🏆 Numerous High-Impact Publications with 400+ Citations 📊
🏆 Recognized Reviewer for Leading Scientific Journals ✍️

Publications Top Notes

📌 Autonomous damage recognition in visual inspection of laminated composite structures using deep learning – S Fotouhi, F Pashmforoush, M Bodaghi, M Fotouhi | Composite Structures (2021) | 📖 Cited by: 87

📌 Characterization of composite materials damage under quasi-static three-point bending test using wavelet and fuzzy C-means clustering – M Fotouhi, H Heidary, M Ahmadi, F Pashmforoush | Journal of Composite Materials (2012) | 📖 Cited by: 86

📌 Damage classification of sandwich composites using acoustic emission technique and k-means genetic algorithm – F Pashmforoush, R Khamedi, M Fotouhi, M Hajikhani, M Ahmadi | Journal of Nondestructive Evaluation (2014) | 📖 Cited by: 83

📌 Acoustic emission-based damage classification of glass/polyester composites using harmony search k-means algorithm – F Pashmforoush, M Fotouhi, M Ahmadi | Journal of Reinforced Plastics and Composites (2012) | 📖 Cited by: 72

📌 Damage characterization of glass/epoxy composite under three-point bending test using acoustic emission technique – F Pashmforoush, M Fotouhi, M Ahmadi | Journal of Materials Engineering and Performance (2012) | 📖 Cited by: 66

Ivo Vaz de Oliveira | Composite | Best Researcher Award

Ivo Vaz de Oliveira | Composite | Best Researcher Award

Dr.Ivo Vaz de Oliveira , Best Researcher Award , Portugal.

Enrique Rocha Rangel | Composites | Best Researcher Award

Enrique Rocha Rangel | Composites | Best Researcher Award

Dr. Enrique Rocha Rangel, Universidad Politécnica de Victoria, Mexico.

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Education and Experience

  • 🎓 B.Sc. in Metallurgical Engineering: ESIQIE-IPN, 1986
  • 🎓 M.Sc. in Metallurgical Engineering: ESIQIE-IPN, 1990
  • 🧪 Specialization in Materials: Instituto de Investigación en Materiales-UNAM, 1994
  • 🌏 Research Stay: Toyohashi University of Technology, Japan, 1997-1998, 2018
  • 🥼 Ph.D. in Metallurgy and Materials: ESIQIE-IPN, 1999
  • 🔬 Postdoctoral Research: Oak Ridge National Laboratory, USA, 2001-2002
  • 🎓 Diploma in Competency-Based Education: Universidad Politécnica de Puebla, 2010
  • 🇬🇧 Advanced English Training: EMI Skill’s, Cambridge University, 2019

Suitability For The Award

Dr. Enrique Rocha Rangel, a distinguished Professor-Investigator at the Universidad Politécnica de Victoria, stands as an outstanding candidate for the Best Researcher Award. With over three decades of expertise in metallurgy and materials science, Dr. Rocha Rangel has made exceptional contributions to the synthesis, processing, and characterization of advanced engineering materials. His work has significantly advanced the development of metals, alloys, ceramics, composites, functional materials, and semiconductors for diverse engineering applications. Recognized for his academic rigor, innovative research, and impactful contributions, he exemplifies excellence in the field of materials science and engineering.

Professional Development 

Publications Top Notes

Seyed Reza Hamzeloo | Polymer Composites | Best Researcher Award

Assoc Prof Dr. Seyed Reza Hamzeloo | Polymer Composites | Best Researcher Award

Assoc Prof Dr. Seyed Reza Hamzeloo, Shahid Rajaee Teacher Training University, Iran

Assoc. Prof. Dr. Seyed Reza Hamzeloo is an esteemed mechanical engineer specializing in Structural Health Monitoring, Non-Destructive Testing, and Fatigue Life Assessment. He earned his Ph.D. in Mechanical Engineering from Amirkabir University of Technology (Polytechnic of Tehran) in 2012, focusing on innovative methods for detecting damages in hollow cylinders. Currently, he is an Assistant Professor at Shahid Rajaei Teacher Training University in Tehran, where he also leads the Hydraulics and Pneumatics Lab. Dr. Hamzeloo’s research spans mechatronics, automation, and advanced machining. His contributions are pivotal in engineering education and industrial applications. 📊🤖

Publication profile

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Education

Dr. Hamzeloo has a strong academic background in mechanical engineering. He earned his Ph.D. from Amirkabir University of Technology (Tehran) with a thesis focusing on advanced structural health monitoring techniques using piezoelectric and MFC patches, achieving a GPA of 3.5/4. His M.Sc. and B.Sc. degrees were also completed at Amirkabir University and University of Tabriz, respectively, where he worked on forming processes and 3D mechanism designs.

Work Experience and Research Activities

Dr. Hamzeloo has held academic and industry positions. At Shahid Rajaei Teacher Training University, he leads the Hydraulics and Pneumatics Lab and has been involved in significant research projects. His time as a researcher and expert in structural health monitoring at Amirkabir University and Mapva Industrial Group reflects his deep engagement with industrial applications.

Teaching Experience

Dr. Hamzeloo has extensive teaching experience across various universities in Iran, instructing courses like FEM, Industrial Automation, Mechatronics, and Metrology. His ability to teach both fundamental and advanced topics, coupled with hands-on lab work, highlights his dedication to mechanical engineering education.

Skills and Software Proficiency

Dr. Hamzeloo is well-versed in FEM code development, reverse engineering, hydraulic system design, and structural health monitoring techniques. His expertise in industry standards (API, ASME) and software for design and simulation tools supports his innovative research and teaching methodologies.

 

Research Interests

Dr. Hamzeloo’s research is focused on cutting-edge fields including non-destructive testing (NDT), structural health monitoring (NDE), fatigue, crack propagation, and CAD/CAM. He has a keen interest in manufacturing processes, metallurgy, robotics, and advanced machining, showcasing versatility in both theoretical and applied aspects of mechanical engineering.

 

Publication Top Notes

  • Modeling and optimizing of cutting force and surface roughness in milling process of Inconel 738 using hybrid ANN and GACited by 61 – 2019 📊🔧
  • Damage detection on hollow cylinders by electro-mechanical impedance method: Experiments and finite element modelingCited by 52 – 2012 🛠️🔍
  • The investigation into vibration effect on microstructure and mechanical characteristics of friction stir spot vibration welded aluminum: Simulation and experimentCited by 48 – 2020 🔧📐
  • Comparison of different welding methods on mechanical properties and formability behaviors of tailor welded blanks (TWB) made from AA6061 alloysCited by 36 – 2021 ⚙️🔩
  • Analytical method for prediction of weld line movement during stretch forming of tailor-welded blanksCited by 26 – 2014 🔧📊
  • Surface integrity in laser-assisted machining of Ti6Al4VCited by 16 – 2020 ✨🔬
  • Simulation of combustion in a porous-medium diesel engineCited by 10 – 2018 🚗🔥
  • Damage Detection of L-Shaped Beam Structure with a Crack by Electromechanical Impedance Response: Analytical Approach and Experimental ValidationCited by 8 – 2020 🏗️🔍
  • IN VITRO STUDY AND MECHANICAL CHARACTERISTICS OF DENTAL IMPLANTS MADE OF VARIOUS MATERIALS AND FABRICATION METHODSCited by 4 – 2021 🦷🔧
  • Applying acoustic emission to investigate failure mechanisms on bending of polymer-based composite sandwich panelsCited by 3 – 2020 📡🛠️


Conclusion

Dr. Hamzeloo’s comprehensive expertise in mechanical engineering, particularly in structural health monitoring, NDT/NDE, and applied research, he is a strong candidate for the “Best Researcher Award.” His contributions span across theoretical knowledge, applied research, and educational impact, making him a well-rounded researcher deserving of recognition.