Alisson Silva | Construction Management | Best Researcher Award

Mr. Alisson Silva | Construction Management | Best Researcher Award

Mr. Alisson Silva, Federal University of Bahia, Brazil

Mr. Alisson Silva is a dedicated researcher in the field of Construction Engineering, currently pursuing his Ph.D. at the Federal University of Bahia, Brazil, where he also earned his Master’s degree specializing in Building Construction and Materials. His research focuses on the application of drones, computer vision, and machine learning for automated inspection and quality control in civil infrastructure. With a solid academic background, including a B.Sc. in Building Construction and an MBA in Project Management, Alisson has significantly contributed to advancing smart construction technologies. He has authored numerous peer-reviewed journal articles and conference papers addressing topics such as facade inspection, YOLOv8-based damage detection, and BIM-integrated maintenance. Alisson is an active member of the Research Group in Construction Management and Technology (GETEC-UFBA) and collaborates with multidisciplinary teams across Brazil. His innovative work is recognized through publications in top-tier journals and global conferences, positioning him as a rising expert in intelligent construction systems

Publication Profile

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Educational Background

Mr. Alisson Silva has built a strong academic foundation in Construction Engineering, currently pursuing a Ph.D. at the Federal University of Bahia, Brazil, with a concentration in Building Construction and Materials under the guidance of Professor Dayana Bastos Costa. He previously completed his M.Sc. from the same institution (2021–2023), focusing on the automation of construction failure recognition in façade execution using drones and machine learning, co-advised by Reymard Sávio Sampaio de Melo. Prior to his master’s, he earned an MBA in Project Management in 2020 from Alta Floresta Faculty, reflecting his keen interest in construction planning and leadership. His academic journey began with a B.Sc. in Building Construction (2015–2019), also at Alta Floresta Faculty, located in Mato Grosso, Brazil. This educational trajectory demonstrates a consistent focus on integrating advanced technologies with civil engineering practices, positioning him as a capable researcher and practitioner in the evolving field of intelligent construction systems.

Research Focus

Mr. Alisson Silva’s research primarily focuses on intelligent construction systems, with a particular emphasis on integrating digital technologies such as drones (UAS), computer vision, BIM, machine learning (including CNN and YOLO algorithms), and data augmentation for automated inspection and maintenance in civil engineering. His work is rooted in enhancing quality control, structural monitoring, and damage detection in building construction—especially façades, rooftops, and precast concrete elements. Through innovative methodologies, he contributes to automating the detection of anomalies, streamlining construction management, and supporting infrastructure maintenance in public and educational buildings. His scholarly contributions are aligned with the emerging domains of Construction 4.0, smart maintenance systems, and digital twins, making his research both cutting-edge and highly applicable to modern urban development. By combining artificial intelligence with traditional construction engineering principles, Mr. Silva is advancing the field toward sustainable, efficient, and technology-driven construction practices, particularly within the Brazilian and Latin American contexts.

Publication Top Notes

📘 Web platform for building roof maintenance inspection using UAS and artificial intelligence – Cited by: 12 | Year: 2025 📡🏗️🤖
📘 Análise do uso de tecnologias digitais para identificação automatizada de patologias em construções – Cited by: 8 | Year: 2022 🏚️💻🔍
📘 Modelo de aprendizado de máquina para inspeção automatizada de fachadas de paredes de concreto – Cited by: 6 | Year: 2023 🧱🤖🛠️
📘 Proposal for integrating drone images and BIM in educational public buildings to support maintenance management – Cited by: 3 | Year: 2024 🚁🏫📐
📘 Automated facade inspection: Application and challenge in using Artificial Intelligence for construction defect recognition – Cited by: 3 | Year: 2023 🏢🤖⚙️
📘 Método para reconhecimento automatizado de falhas construtivas na execução de fachadas com uso de drones e aprendizado de máquina – Cited by: 2 | Year: 2023 🚧🚁📊
📘 CNN-based model for automated anomaly recognition in facade execution to support Quality Management – Cited by: 1 | Year: 2025 🧠🏗️🔧
📘 Method of automated inspection for reinforcement cages of precast concrete elements – Cited by: 1 | Year: 2024 🧱🔎📸
📘 Colaboração BIM em software de projetos estruturais – Cited by: 1 | Year: 2023 📐💬🏗️
📘 Using digital technologies for automated identification of building pathologies: A literature review – Cited by: 1 | Year: 2022 📊🏚️📑
📘 Lições do uso de videogrametria para inspeções de qualidade em armaduras de pré-fabricados de concreto – Year: 2025 🏗️📷🔍
📘 Lessons from the use of videogrammetry for quality inspections of precast concrete reinforcement – Year: 2025 🏗️🧰🛰️
📘 Method for quality inspection during the execution of facades based on UAS images and Machine Learning algorithms – Year: 2025 🚁📋🧠
📘 Modelo baseado em CNN para reconhecimento automatizado de anomalias na execução de fachadas visando apoio à Gestão da Qualidade – Year: 2025 🤖🏢📉
📘 Computer Vision-based YOLO11 for automated damage assessment of public building roofs supporting maintenance management – Year: 2025 🧠🏫🛰️

Md Atiqur Rahman | Structural Engineering | Best Researcher Award

Mr. Md Atiqur Rahman | Structural Engineering | Best Researcher Award

Mr. Md Atiqur Rahman, University of Bolton, United Kingdom

Md Atiqur Rahman is a dedicated aerospace engineering lecturer and Ph.D. researcher specializing in natural fiber-based materials for aerospace applications. With over nine years of teaching experience, he currently serves as an Engineering Lecturer at Blackpool & The Fylde College, developing course materials and assessments aligned with Lancaster University guidelines. His previous roles include teaching aeronautical engineering at Preston College, University of Bolton, and aviation colleges in Bangladesh. Recognized for his excellence in education, he has contributed to curriculum development and student mentorship, with his efforts earning institutional and national recognition. His research focuses on sustainable materials for next-generation aerospace structures, with multiple publications in progress. As a committed academic and researcher, he actively participates in professional conferences and training, ensuring his contributions remain at the forefront of aerospace education and innovation.

Publication Profile

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Education 🎓📖

Md Atiqur Rahman is pursuing a Ph.D. in Aerospace Engineering at the University of Bolton, focusing on the development of natural fiber-based materials for aerospace applications. He is also completing an MPhil in Mechanical Engineering at the same university. His academic journey began with a Bachelor of Engineering (Honours) in Aerospace Engineering from the University of Hertfordshire, UK. His extensive academic background has equipped him with expertise in aerodynamics, propulsion systems, structural mechanics, and bio-composites. His research integrates theoretical knowledge with practical applications, particularly in sustainable aerospace materials. Throughout his education, he has engaged in multiple research projects, conference presentations, and academic collaborations. His strong analytical skills and proficiency in computational tools like SolidWorks, Ansys, and MATLAB have enhanced his research capabilities. His commitment to continuous learning and professional development has enabled him to bridge the gap between academia and industry through innovative research and teaching methodologies.

Experience 🏫✈️

Md Atiqur Rahman has extensive experience as an aerospace and mechanical engineering lecturer. Currently, he teaches at Blackpool & The Fylde College, developing curriculum content and assessments for students up to Level 6. Previously, he was an Aeronautical Engineering Lecturer at Preston College, where he taught BTEC, City & Guilds, and EAL programs. At the University of Bolton, he worked as a lecturer, supporting student learning and research initiatives. In Bangladesh, he taught at Cambrian International College of Aviation and the United College of Aviation, contributing to curriculum development and internal quality assurance. He has a strong background in student mentorship, accreditation processes, and module development. His teaching approach emphasizes practical applications, utilizing industry-standard software and experimental setups. His ability to adapt teaching methodologies to student needs has significantly improved academic performance and comprehension, making him a valued educator in aerospace and mechanical engineering disciplines.

Awards & Honors 🏆🎖️

Md Atiqur Rahman has been recognized for his excellence in education and research. He was honored as the Best Lecturer at Cambrian International College of Aviation in 2022, acknowledging his dedication to student success. Under his mentorship, a student was nominated and received the BTEC Award 2021 (Bronze Certificate) as the Engineering Learner of the Year. His contributions to curriculum development and academic quality assurance have been widely appreciated within his institutions. Additionally, he has received multiple certifications from BTEC Pearson, recognizing his expertise in assignment writing, assessment planning, and verification. His participation in international conferences, such as the RAeS High-Speed Aerodynamics Conference and the Government Events’ BAME Education Summit, reflects his commitment to professional growth. His research achievements include multiple accepted journal publications and conference presentations on sustainable aerospace materials, reinforcing his position as an emerging leader in aerospace engineering education and research.

Research Focus 🔬🛩️

Md Atiqur Rahman’s research primarily focuses on the development and optimization of natural fiber-based composites for aerospace applications. His Ph.D. work at the University of Bolton explores sustainable alternatives to conventional aerospace materials, enhancing their mechanical and thermal properties for next-generation aircraft structures. His research encompasses aerodynamics, propulsion systems, and structural mechanics, with a strong emphasis on bio-composites. He has successfully developed high-performance natural fiber-reinforced composites and is actively publishing findings in peer-reviewed journals. His expertise extends to finite element analysis (FEA), thermal analysis, and experimental testing using advanced laboratory equipment. He is also involved in interdisciplinary research on hypersonic flight technologies and sustainable aviation solutions. Through his work, he aims to contribute to the aerospace industry’s transition toward eco-friendly materials and energy-efficient systems. His research has been presented at international conferences, further establishing him as a thought leader in sustainable aerospace engineering.

 

Publication Top Notes

  • 📄 Palmyra Palm Shell (Borassus flabellifer) Properties Part 2: Insights into Its Thermal and Mechanical Properties – Cited by: 3 – Year: 2024

  • 📄 Palmyra Palm Shell (Borassus flabellifer) Properties Part 1: Insights into Its Physical and Chemical Properties – Cited by: 3 – Year: 2024

  • 📄 Effect of Alkali Treatment on Dynamic Mechanical Properties of Borassus Flabellifer Husk Fibre Reinforced Epoxy Composites – Cited by: 2 – Year: 2025

  • 📄 Palmyra Palm Shell (Borassus flabellifer) Properties Part 3: Insights into Its Morphological, Chemical and Thermal Properties after Alkali Treatment – Cited by: 2 – Year: 2024

  • 📄 Optimizing Borassus Husk Fibre/Epoxy Composites: A Study on Physical, Thermal, Flexural and Dynamic Mechanical Performance – Cited by: 1 – Year: 2025

  • 📄 Enhancing Thermal and Dynamic Mechanical Properties of Lignocellulosic Borassus Husk Fibre/Epoxy Composites through Alkali Treatment – Year: 2025