Aricson Pereira | advanced composites | Manufacturing Excellence Award

Mr.Aricson Pereira , Procept Biorobotics , United States.

Mr.Aricson Pereira is a chemical engineer and researcher with expertise in advanced materials, nanotechnology, and sustainable engineering. He holds a Master’s in Chemical Engineering from the University of Louisiana at Lafayette and a Bachelor’s from Pune University. Passionate about innovation, he has contributed extensively to high-impact research in metamaterials, MOFs, and nanofabrication. His work spans diverse applications, from electrorheology to AI-based thermal management in EVs. Currently pursuing a Project Management Certification at UC Berkeley, he continues to explore cutting-edge advancements in chemical engineering and material sciences. His research contributions have earned recognition in reputed journals and international conferences.

Publication Profile

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Education & Experience

Master of Science in Chemical Engineering – University of Louisiana at Lafayette (2012-2014)
Bachelor of Engineering in Chemical Engineering – Pune University (2005-2009)
Pursuing Project Management Certification – UC Berkeley
Researcher & Author – Published in high-impact journals (Springer, De Gruyter, ES Energy & Environment)
Conference Presenter – Presented research at IEOM conferences in Washington DC, Germany, Tokyo, and Sydney
Industrial Experience – Focused on sustainable materials, AI-driven equipment monitoring, and advanced composites

Suitability Summary

Mr.Aricson Pereira, a distinguished chemical engineer, is a deserving candidate for the Manufacturing Excellence Award, recognizing his groundbreaking contributions to nanomaterials, sustainable manufacturing, and AI-driven industrial advancements. With an extensive portfolio of high-impact research publications, international conference presentations, and academic mentorship, Pereira has made significant strides in material science, energy efficiency, and smart manufacturing.

Professional Development

Mr.Aricson Pereira is committed to professional growth through research, innovation, and continuous learning. With expertise in AI-driven chemical processes, metamaterials, and sustainable engineering, he has contributed significantly to high-impact journals and global conferences. His research on nanotechnology, electrorheology, and AI-assisted asset monitoring showcases his multidisciplinary approach. Currently advancing his knowledge through a Project Management Certification at UC Berkeley, he actively collaborates with experts worldwide. Aricson’s dedication to scientific advancements extends beyond academia, as he explores industrial applications of novel materials in energy storage, healthcare, and environmental sustainability.

Research Focus

Mr.Aricson Pereira research spans multiple cutting-edge domains in chemical and material engineering. His work on MOFs (Metal-Organic Frameworks) explores their potential for mitigating air pollution. In high-entropy materials, he investigates unique applications in advanced composites. His contributions to electrorheology involve nanodiamond/PDMS nanofluids and their behavior under oscillatory shear. He also explores metamaterials and AI-based predictions for selective reflective films. His research in battery thermal management for EVs and smart materials for biomedical applications underscores his multidisciplinary expertise. Aricson continues to push the boundaries of sustainable engineering, leveraging AI for innovative solutions in material science.

Awards & Honors

Co-Author of High-Impact Research Publications – Advanced Composites & Hybrid Materials (IF 23.1)
Recognized Speaker at International Conferences – IEOM (Washington DC, Germany, Tokyo, Sydney)
Published Research on AI-Driven Equipment Monitoring & Electrorheology in leading journals
Best Poster Presentation – AIChE Annual Meeting on Nanodiamond Rheology
Contributor to Sustainable Engineering Innovations – Transforming Waste Thermoplastics into Petrochemicals
Published Work in Top-Tier Journals – ES Energy & Environment, De Gruyter, and Springer

Publication Top Notes

Progress of MOFs for Air Pollution Mitigation (2024) – Cited by: XX
High-Entropy Materials and Their Unique Applications (2024) – Cited by: XX
Electrorheology of Diamond/PDMS Nanofluids (2024) – Impact Factor: 5.6
Effect of Absorber Layer Thickness on Perovskite Solar Cells (2025) – Cited by: XX
A Study on Doping Silver Nanowires in Cesium Tungsten Bronze Thin Films (2025) – Cited by: XX
From Concept to Creation: Micro/Nanobot Biomedical Applications (2024) – Cited by: XX
Smart Manufacturing Technologies: Implementation & Review (2024) – Cited by: XX
Artificial Intelligence-Based Thermal Management for EVs (2024) – Conference Paper
Simulation of Selective Reflective Films Using AI (2024) – Cited by: XX

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.

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