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
Google Scholar
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 🧠🏫🛰️