معرفی
Dr. Amir Sidiq is a Researcher and Research Assistant in Digital Twin Development at the Research & Innovation Department of RMIT University, Australia. His work focuses on advancing smart infrastructure technologies, particularly in structural health monitoring, self-healing materials, and AI-driven solutions for civil engineering challenges. He holds an ORCID identifier (0000-0002-0636-3895) and is open to supervising Masters and PhD students in topics like AI-enabled bridge health monitoring via digital twins.
His research interests span Civil Engineering, Environmental Science, and innovative material applications. Key areas include digital twin systems for real-time infrastructure monitoring, enzyme-based soil stabilization, and self-healing concrete using polymers and microcapsules. He has contributed to over 20 peer-reviewed publications since 2019, addressing topics such as optimal sensor placement, machine learning in structural analysis, and sustainable construction practices.
Dr. Sidiq’s publications reflect a strong emphasis on practical applications of advanced technologies to enhance infrastructure resilience and sustainability. His recent work (2024–2025) highlights AI integration for predictive maintenance and digital twin development for bridges, aligning with global trends in smart city infrastructure.
He collaborates with industry partners on projects like enzymatic soil stabilization for road pavements and waste-to-energy solutions for construction materials. His research bridges theoretical innovation with real-world implementation, aiming to transform traditional engineering practices through data-driven and eco-friendly approaches.
Dr. Sidiq is available to supervise research projects focused on AI and digital twin technologies applied to civil infrastructure systems, emphasizing interdisciplinary solutions for modern engineering challenges.
