Ph.D candidate at Politecnico di Milano, Italy.
Samira Azizi 🎓 is a Ph.D. candidate at Politecnico di Milano 🇮🇹, specializing in smart structural control and vision-based structural health monitoring (SHM) 🏗️📹. Her work focuses on enhancing earthquake resilience through real-time damage detection and adaptive stiffness systems 🌐⚙️. She has contributed significantly to full-field motion estimation using video data and advanced optimization techniques such as particle swarm algorithms 🧠📈. As a dedicated researcher, Samira serves on editorial boards 📚, reviews for prestigious journals ✍️, and engages in innovative, non-contact SHM technologies. Her passion lies in bridging advanced engineering with intelligent monitoring solutions 🌍💡.
Professional Profile:
Scopus
ORCID
Suitability For Best Researcher Award:
Samira Azizi is highly suitable for the Best Researcher Award based on her cutting-edge research, interdisciplinary innovation, and global academic engagement. Her work bridges structural engineering, artificial intelligence, and computer vision, with a clear focus on non-contact, vision-based structural health monitoring (SHM) — a domain crucial for infrastructure safety in earthquake-prone regions. Her leadership as a peer reviewer and editorial board member, combined with impactful publications and innovative methodologies, demonstrate excellence and commitment to advancing civil engineering research.
🔹 Education & Experience
🎓 Education:
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Ph.D. Candidate in Structural Engineering – Politecnico di Milano, Italy 🇮🇹
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Research background in system identification, control systems, and structural health monitoring 🏗️
💼 Experience:
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Short-term research contract (ongoing) at Politecnico di Milano 🔬
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Peer reviewer for journals including PLOS ONE, Engineering Structures, and Experimental Mechanics 📰
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Editorial board member of Frontiers in Built Environment 📖
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Published multiple high-impact research papers in SCI/Scopus-indexed journals 📑
🔹 Professional Development
Samira Azizi has demonstrated exceptional professional growth through collaborative research projects and technical expertise in system dynamics and SHM technologies 🔍🤝. Her editorial roles and frequent peer reviewing across top journals reflect her critical thinking and in-depth knowledge 📘🔬. She continues to refine her research acumen by actively engaging in advanced image processing and video-based structural analysis 📹🧠. With a focus on non-contact, intelligent monitoring frameworks, she is also pursuing a research contract at Politecnico di Milano, enhancing her academic trajectory 🚀. Samira’s constant pursuit of innovation and precision defines her as a rising star in engineering research 🌟📐.
🔹 Research Focus Area
Samira’s research centers on vision-based structural identification and control systems 🎥🏗️. Her innovative work bridges civil engineering with artificial intelligence and image processing 🤖📸, aiming to improve structural integrity assessment without physical sensors. She develops non-contact, video-based motion estimation frameworks that track both macro and subpixel movements, ideal for real-time damage detection ⚡🔧. By integrating tools like particle swarm optimization and complexity pursuit, her studies push forward the field of output-only modal analysis 🌀📉. Her goal is to create sustainable, smart monitoring systems for resilient infrastructure in seismically active regions 🌍🛠️.
🔹 Awards & Honors
🏆 Awards & Recognitions:
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✨ Selected editorial board member – Frontiers in Built Environment
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🏅 Reviewer for reputed journals: PLOS ONE, Engineering Structures, Experimental Mechanics, etc.
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📝 Multiple peer-reviewed journal publications in top-tier SCI/Scopus outlets
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🎓 Invited speaker and contributor at international conferences (e.g., ECSA-10)
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🌐 Recognized for developing innovative semi-active stiffness control systems and full-field video measurement techniques
Publication Top Notes
Article Title:
Structural Identification Using Digital Image Correlation Technology
Authors:
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Samira S. Azizi
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Kaveh K. Karami
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Stefano S. Mariani
Published in:
Engineering Proceedings, 2023
Access: Open Access (Link currently disabled)
Abstract Summary
This paper explores the application of Digital Image Correlation (DIC) technology for structural identification in engineering systems. DIC is a non-contact optical method used to measure deformation, displacement, and strain by tracking speckle patterns on the surface of materials. The study focuses on the implementation of DIC to assess the structural response under various loading conditions. Through experimental validation and comparative analysis, the authors demonstrate the effectiveness of DIC in enhancing the accuracy and reliability of structural health monitoring techniques.
🏁 Conclusion:
Samira Azizi exemplifies the qualities of a Best Researcher Award recipient. Her interdisciplinary approach, scientific rigor, and global academic engagement place her at the forefront of innovation in structural engineering. She is not only shaping the future of smart infrastructure but also elevating the standards of academic research and collaboration. Awarding her this recognition would honor a truly transformative contributor to engineering science.