Hsin Yuan Chen | Engineering | Best Scholar Award

Published on by Phenomenological Research Awards

Prof. Hsin Yuan Chen | Engineering | Best Scholar Award

Professor at Zhejiang University | China

Dr. Hsin Yuan Chen is a leading scholar and technologist, currently serving as a Changjiang Scholar Professor and Director at Zhejiang University’s Institute of Wenzhou, Center of Digital Technology Entrepreneurship and Innovation. With an extensive academic and industrial background, she has made significant contributions in smart agriculture, AI, robotics, and digital transformation. Dr. Chen’s interdisciplinary expertise bridges engineering, healthcare, and artificial intelligence, and her work has impacted education, industry collaboration, and technological advancement across Asia. Her recognition includes international fellowships, keynote speaker roles, and leadership in major research centers, positioning her as a dynamic force in intelligent systems and innovation.

Profile:

Google Scholar

Education:

Dr. Hsin Yuan Chen earned her Bachelor’s and Ph.D. degrees in Aerospace Engineering from National Cheng Kung University, Taiwan, completing her doctorate in 2000. She complemented her formal education with a visiting professorship at Washington University in St. Louis, USA, which deepened her global academic perspective. Her educational journey has been distinguished by a strong foundation in systems control, aerospace, and robotics, which later evolved to encompass AI, digital agriculture, and interdisciplinary technology management. This robust academic training underpins her approach to integrating theoretical insights with practical innovations in smart technologies and data-driven platforms.

Experience:

Dr. Hsin Yuan Chen’s professional journey spans over two decades of academic, governmental, and industrial roles. She served as Professor and Dean at Fujian Normal University, CTO at GEOSAT Technology and Mobiletron Electronics, and Assistant Professor at multiple Taiwanese institutions. Additionally, she held advisory roles in patent offices and high-tech companies, contributing to projects on AI positioning systems, smart agriculture, and unmanned vehicles. Her international engagements include collaborations with institutions such as McGill University and Washington University. These diverse experiences enrich her ability to lead transdisciplinary teams and execute complex, innovation-focused initiatives across multiple sectors.

Research Interest:

Dr. Hsin Yuan Chen’s research focuses on the convergence of artificial intelligence, smart agriculture, IoT, blockchain, and autonomous systems. Her projects have addressed real-world challenges in digital transformation, healthcare innovation, and sustainable agriculture. A particular interest lies in integrating explainable AI with blockchain to enhance decision-making in agricultural technology. She is also actively involved in robotics, wireless positioning systems, and medical platforms leveraging sensor technology. Her passion for developing inclusive, intelligent systems is reflected in her projects like AI Doctors for crops and Paro Robots for health monitoring, aiming to merge emotion detection with deep learning-based automation.

Awards and Honors:

Dr. Hsin Yuan Chen has received prestigious accolades including the ScienceFather International Outstanding Scientist Award (2024), IET Fellowship (2023), and ASEAN Fellowship (2022). She was recognized with national teaching excellence awards, innovation medals in higher education, and championship titles in robotics competitions. Her pioneering work has also earned distinctions in cloud technology and virtual cultural heritage. As a member of high-level talent programs in Zhejiang and Fujian Provinces, and a recipient of multiple creativity group medals, Dr. Chen’s impact extends across education, technology, and international science forums. Her awards reflect both scholarly excellence and societal contributions.

Publications:

Title: Exploring the sensitivity of next generation gravitational wave detectors

Citations: 1533

Year of Publication: 2017

Title: Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies

Citations: 1322

Year of Publication: 2022

Title: Carbon nanotube computer

Citations: 1228

Year of Publication: 2013

Title: Three dimensional reconstruction of a solid-oxide fuel-cell anode

Citations: 1019

Year of Publication: 2006

Title: GPR55 is a cannabinoid receptor that increases intracellular calcium and inhibits M current

Citations: 895

Year of Publication: 2008

Title: Plasmonic nanolaser using epitaxially grown silver film

Citations: 878

Year of Publication: 2012

Title: Translation and back‐translation in qualitative nursing research: methodological review

Citations: 874

Year of Publication: 2010

Title: Mapping the Evolution: A Bibliometric Analysis of Employee Engagement and Performance in the Age of AI-Based Solutions
Year of Publication: 2025

Title: Advancements in Handwritten Devanagari Character Recognition: A Study on Transfer Learning and VGG16 Algorithm
Citations: 3
Year of Publication: 2024

Title: Intellectual Structure of Explainable Artificial Intelligence: A Bibliometric Reference to Research Constituents
Year of Publication: 2024

Title: Integrating Explainable Artificial Intelligence and Blockchain to Smart Agriculture: Research Prospects for Decision Making and Improved Security
Citations: 39
Year of Publication: 2023

Conclusion:

Dr. Hsin Yuan Chen exemplifies excellence in research, leadership, and innovation, making her a strong candidate for the Best Researcher Award. Her prolific output in scientific publications, transformative projects in smart agriculture and digital health, and her commitment to knowledge transfer through academia-industry collaborations illustrate her deep impact. Dr. Chen’s fusion of AI with real-world applications—particularly in sustainable systems and intelligent automation—positions her at the forefront of global innovation. Her recognition across international platforms affirms her thought leadership and the lasting value of her contributions to science, technology, and education.

Samira Azizi | Engineering | Best Researcher Award

Published on by Phenomenological Research Awards

Ms. Samira Azizi | Engineering | Best Researcher Award

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:

  • Ph.D. Candidate in Structural Engineering – Politecnico di Milano, Italy 🇮🇹

  • Research background in system identification, control systems, and structural health monitoring 🏗️

💼 Experience:

  • Short-term research contract (ongoing) at Politecnico di Milano 🔬

  • Peer reviewer for journals including PLOS ONE, Engineering Structures, and Experimental Mechanics 📰

  • Editorial board member of Frontiers in Built Environment 📖

  • 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:

  • ✨ Selected editorial board member – Frontiers in Built Environment

  • 🏅 Reviewer for reputed journals: PLOS ONE, Engineering Structures, Experimental Mechanics, etc.

  • 📝 Multiple peer-reviewed journal publications in top-tier SCI/Scopus outlets

  • 🎓 Invited speaker and contributor at international conferences (e.g., ECSA-10)

  • 🌐 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:

  • Samira S. Azizi

  • Kaveh K. Karami

  • 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.