Farzad Pashmforoush | composite materials | Best Researcher Award

Posted on 13/02/202513/02/2025 by ScienceFather

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.

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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

Yunchao Qi | Materials Science | Best Researcher Award

Posted on 20/01/202520/01/2025 by ScienceFather

Yunchao Qi | Materials Science | China

Dr. Yunchao Qi, North University of China, China.

Dr. Yunchao Qi is a distinguished researcher and educator specializing in engineering mechanics and materials science. He holds a Doctorate in Engineering from Harbin Institute of Technology and is currently affiliated with the School of Aerospace Engineering, North University of China. With expertise in the mechanical properties and structural design of composites and machine learning applications in materials engineering, he has published extensively in leading journals. Dr. Qi’s professional journey reflects his commitment to innovation and excellence in engineering, contributing to advancements in composites and materials science.

Publication Profile

Scopus

Education and Experience

Bachelor of Engineering in Engineering Mechanics, Northwestern Polytechnical University (2012–2016)
Doctor of Engineering in Engineering Mechanics, Harbin Institute of Technology (2016–2022)
AVIC Chengdu Aircraft Industrial (Group) CO., Ltd., Chengdu, China (2023/02–2024/05)
North University of China, Taiyuan, China (2024/05–Present)

Summary Suitability For the Award

Dr. Yunchao Qi is an exemplary candidate for the Best Researcher Award, given his groundbreaking contributions to the field of engineering mechanics, particularly in the mechanical properties characterization and structural design of composites. His research seamlessly integrates advanced methodologies, such as machine learning, into materials engineering, significantly advancing both academic understanding and practical applications.

Professional Development

Dr. Yunchao Qi has actively developed his expertise through interdisciplinary research combining materials science, mechanical properties, and machine learning applications. His innovative approaches have advanced the understanding of composites, including needled composites, their structural design, and thermal optimization using AI techniques. With over eight high-impact publications in prestigious journals and a solid academic foundation, Dr. Qi’s work bridges theory and application, enabling practical solutions in aerospace and material engineering. His contributions to academia and industry highlight his dedication to fostering progress in mechanical engineering and composites.

Research Focus

Dr. Yunchao Qi’s research centers on the mechanical properties characterization and structural design of composites, including needled and 3D fiber-reinforced materials. He also explores machine learning applications in materials engineering, such as designing thermal cloaks with isotropic materials and optimizing composite structures. His work integrates traditional engineering principles with cutting-edge AI methods to enhance the performance, reliability, and efficiency of advanced materials, significantly contributing to aerospace and materials science. Dr. Qi’s research showcases a fusion of innovation, sustainability, and practical implementation.

Awards and Honors

Best Paper Award in Composite Materials at the National Engineering Conference, 2022.
Recognized as “Outstanding Young Researcher” by Harbin Institute of Technology, 2020.
Recipient of the National Doctoral Research Fellowship, China, 2018–2021.
Excellence in Innovation Award for Machine Learning Applications in Engineering, 2023.

Publication Top Notes

In-plane tensile strength for needle-punched composites prepared by different needling processes, 2023, Chinese Journal of Materials Research, 1 citation.
Process design of variable fiber content in layers of needle-punched preforms, 2023, Journal of Materials Science.
Determination of needling process satisfying stiffness requirements of 3D needled composites, 2022, Polymer Composites, 5 citations.
Design of thermal cloaks with isotropic materials based on machine learning, 2022, International Journal of Heat and Mass Transfer, 21 citations.
An improved analytical method for calculating stiffness of 3D needled composites with different needle-punched processes, 2020, Composite Structures, 24 citations.
Optimization of process parameters of three-dimensional needled preforms for C/C-SiC composites, 2020, Journal of Materials Engineering, 5 citations.
The optimization of process parameters of three-dimensional needled composites based on ANN and GA, 2019, ICCM International Conferences on Composite Materials.

Parami Ama Shakya | Materials | Best Researcher Award

Posted on 06/01/202506/01/2025 by ScienceFather

Parami Ama Shakya | Materials | Best Researcher Award

Ms. Parami Ama Shakya, University of Kelaniya, Sri Lanka.

Parami Ama Shakya is a passionate physicist and researcher specializing in dye-sensitized solar cells and thin-film materials. With a B.Sc. Honours in Physics from the University of Kelaniya (Second Upper Class) and ongoing M.Phil studies, she combines academic excellence with impactful research. Her contributions include publications in reputed journals and conferences. Currently a Physicist in the Sri Lanka Scientific Service, she is a skilled project manager, problem solver, and creative thinker. Parami is also an accomplished musician, holding a Visharada in Sitar, and has won the All-Island Championship in 2013.

Publication profile

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Education and Experience

Education

M.Phil in Physics – University of Kelaniya (reading)
B.Sc. Honours in Physics – University of Kelaniya (2017–2021)
- Key Courses: Physics, Pure Mathematics, Electronics
- GPA: 3.57 (Second Upper Class)
G.C.E. Advanced Level Examination – Physical Science Stream (2016)
G.C.E. Ordinary Level Examination – 2012

Experience

Temporary Demonstrator (Aug 2022 – Dec 2022) – Department of Physics & Electronics, University of Kelaniya
Temporary Research Assistant (Dec 2022 – Oct 2024) – University of Kelaniya
Physicist (Dec 2024 – Present) – Sri Lanka Scientific Service

Suitability For The Award

Ms. Parami Ama Shakya, a dedicated physicist currently pursuing her M. Phil in Physics at the University of Kelaniya, Sri Lanka, is an outstanding candidate for the Best Researcher Award. With a B.Sc. Honours in Physics and a second upper class GPA of 3.57, Parami’s research has shown exceptional depth and innovation in the areas of thin-film electroplating, photoanode design for solar cells, and electrochemical properties of materials. Her continued research contributions have demonstrated her potential as a leading figure in the realm of material science and renewable energy applications.

Professional Development

Parami Ama Shakya actively enhances her expertise through various programs and workshops. She completed a six-month program on statistical analysis, research methodology, and scientific writing conducted by FGS, University of Kelaniya. She participated in training sessions on ChemDraw and Adobe Illustrator for Scientific Figures and Illustrations.

Parami attended workshops on current trends in photo-electrochemical and photovoltaic materials, gaining insights into advanced methodologies. Her involvement in sustainability leadership initiatives and science exhibitions further highlights her commitment to scientific advancement and community outreach.

Research Focus

Parami Ama Shakya focuses her research on dye-sensitized solar cells (DSSCs) and thin-film materials. She explores the enhancement of DSSC performance through natural dyes and innovative electrodeposition techniques. Her work delves into wettability properties, co-sensitization with green tea and grapes, and optimizing photoanode materials like TiO₂. Her publications in reputed journals and conferences demonstrate her expertise in advancing renewable energy technologies and sustainable solutions. By integrating materials science with cutting-edge photovoltaics, she contributes significantly to eco-friendly energy innovations.

Publications Top Notes

**“A Study on Cu Thin-Film Electroplated TiO₂ Photoanodes for Applications in Natural Dye-Sensitized Solar Cells,Crystals, 2024 “**

Dr. Virupaxi Auradi | Materials and Metallurgical Engineering Award | Best Researcher Award

Posted on 04/06/2024 by ScienceFather

Dr. Virupaxi Auradi| Materials and Metallurgical Engineering Award | Best Researcher Award

Dr. Virupaxi Auradi , SIT, Tumkur , India

Dr. Virupaxi Auradi is an Associate Professor in the Department of Mechanical Engineering at Siddaganga Institute of Technology, Tumkur. With a Ph.D. from VTU, Belgaum, he specializes in solidification processing of metallic systems, microstructure-property correlations, and advanced structural materials.

Profile :

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Employment History:

Associate Professor at Siddaganga Institute of Technology, Tumkur (2012 – Present)
Assistant Professor at Siddaganga Institute of Technology, Tumkur (2009 – 2012)
Lecturer at Siddaganga Institute of Technology, Tumkur (2007 – 2009)
Research Associate at Research and Development Centre for Ceramics, KREC, Surathkal (1997 – 2000)

Research Projects: Dr. Auradi has led several research projects funded by organizations like the Department of Science and Technology, Government of Karnataka, AICTE New Delhi, and Aeronautical Research and Development Board.

Administrative Experience: He has held various administrative roles including member of the Institute Ranking Improvement Committee, TEQIP Coordinator, Board of Studies member, and Deputy Warden at Siddaganga Institute of Technology.

Educational Background:

Ph.D. in Mechanical Engineering from VTU, Belgaum
M.Tech. in Mechanical Engineering from KREC, Surathkal
B.E. in Mechanical Engineering from Gulbarga University

Awards and Recognition:

Dr. Auradi has received numerous awards including the ARP Award by Vision Group of Science and Technology, Best Paper Awards, Engineer’s Day Award, and various accolades for his research contributions.

Membership and Professional Affiliations:

He is a Fellow of the Institution of Engineers and a Life Member of Karnataka Rajya Vignyan Parishath and Tribological Society of India.

Invited/Guest Talks:

Dr. Auradi has delivered invited lectures and technical talks on topics related to his research interests at various national and international conferences and workshops.

Research Contributions:

His research contributions include advancements in solidification processing, development of metal matrix composites, optimization of diffusion bonding parameters, and investigation of tribological behavior.

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

Publication Profile

Education & Experience

Suitabilty Summary

Professional Development

Research Focus

Awards & Honors

Publications Top Notes

Publication Profile

Education and Experience

Summary Suitability For the Award

Professional Development

Research Focus

Awards and Honors

Publication Top Notes

In-plane tensile strength for needle-punched composites prepared by different needling processes, 2023, Chinese Journal of Materials Research, 1 citation.

Process design of variable fiber content in layers of needle-punched preforms, 2023, Journal of Materials Science.

Determination of needling process satisfying stiffness requirements of 3D needled composites, 2022, Polymer Composites, 5 citations.

Design of thermal cloaks with isotropic materials based on machine learning, 2022, International Journal of Heat and Mass Transfer, 21 citations.

An improved analytical method for calculating stiffness of 3D needled composites with different needle-punched processes, 2020, Composite Structures, 24 citations.

Optimization of process parameters of three-dimensional needled preforms for C/C-SiC composites, 2020, Journal of Materials Engineering, 5 citations.

The optimization of process parameters of three-dimensional needled composites based on ANN and GA, 2019, ICCM International Conferences on Composite Materials.

Ms. Parami Ama Shakya, University of Kelaniya, Sri Lanka.

Publication profile

Education and Experience

Education

Experience

Suitability For The Award

Professional Development

Research Focus

Publications Top Notes

“A Study on Cu Thin-Film Electroplated TiO₂ Photoanodes for Applications in Natural Dye-Sensitized Solar Cells,Crystals, 2024 “

Dr. Virupaxi Auradi , SIT, Tumkur , India

Profile :

Employment History:

Educational Background:

Awards and Recognition:

Membership and Professional Affiliations:

Invited/Guest Talks:

Research Contributions:

Publications Top Notes 📄

Citation : 318

Citation : 118

Citation : 69

Citation : 55

Citation : 54

***Process design of variable fiber content in layers of needle-punched preforms, 2023, Journal of Materials Science.***

***The optimization of process parameters of three-dimensional needled composites based on ANN and GA, 2019, ICCM International Conferences on Composite Materials.***

**“A Study on Cu Thin-Film Electroplated TiO₂ Photoanodes for Applications in Natural Dye-Sensitized Solar Cells,Crystals, 2024 “**