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

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.

Yumeng Su | Engineering | Best Researcher Award

Published on by Phenomenological Research Awards

Mr. Yumeng Su | Engineering | Best Researcher Award

Mr. Yumeng Su at Shanghai Jian Qiao University, China.

Su Yumeng 🎓, a top-ranking computer science undergraduate at Shanghai Jian Qiao University 🇨🇳, excels in AI 🤖, robotics 🚁, and embedded systems 🧠. With hands-on experience in drone development, ROS, and deep learning 💡, he has published impactful research and led award-winning teams 🏆. His technical expertise spans Python, MATLAB, LaTeX, and advanced hardware platforms like Jetson Nano and STM32 💻. Beyond academics, he’s a dynamic leader and athlete 🏀🚴‍♂️, known for his resilience and innovation in intelligent systems and smart hardware applications 🔍. Su’s work bridges theoretical AI with real-world applications 🌐.

Publication Top Notes

ORCID

Suitability for Best Researcher Award – Su Yumeng

Su Yumeng is a highly promising and exceptionally driven early-career researcher whose blend of technical excellence, innovation, and leadership places him as a top contender for the Best Researcher Award. As an undergraduate, his hands-on contributions to AI, robotics, and embedded systems are not only commendable but groundbreaking, particularly for his academic level. He demonstrates a rare ability to translate theory into impactful real-world applications, bridging research with innovation in autonomous systems, drone technology, and intelligent hardware solutions.

🔹 Education & Experience

  • 🎓 B.Sc. in Computer Science & Technology, Shanghai Jian Qiao University (2021–Present)

  • 📍 Focus: AI, Robotics, Embedded Systems, and Smart Hardware

  • 📚 Completed key courses with top grades (AI, Python, Robotics, Microcontroller Principles, etc.)

  • 🚀 ROS training at East China Normal University (Basic & Advanced UAV/Vehicle Tracking)

  • 🛠 Internship at Superdimension Technology Space: Autonomous drone development

  • 🧪 Project collaboration with FAST-Lab at Zhejiang University on UAVs

🔹 Professional Development

Su Yumeng continually advances his professional skills through academic projects 🧪, interdisciplinary competitions 🏆, and real-world UAV applications 🚁. He has mastered the integration of AI models like YOLO with edge computing platforms such as Jetson Nano and Raspberry Pi 💻. His leadership in innovation competitions reflects his capacity to guide teams and deliver impactful solutions 🎯. Su’s deep involvement in research and drone design demonstrates his ability to convert academic concepts into cutting-edge technology 💡. With practical ROS experience and sensor fusion expertise, he remains at the forefront of smart automation and robotics 🌐.

🔹 Research Focus Category

Su Yumeng’s research focuses on Artificial Intelligence in Embedded and Autonomous Systems 🤖, especially in smart robotics and deep learning applications for environmental perception and control 🌍. His work bridges physics-informed neural networks (PINNs) with real-time sensor fusion for drones and robotics 🤝. He explores practical challenges like crack detection in infrastructure using UAVs 🛠️, baby posture recognition on embedded platforms 🍼, and SLAM-based navigation for wheeled robots 🚗. His interdisciplinary approach merges hardware innovation with AI, yielding scalable, intelligent, and responsive systems suitable for civil engineering, healthcare, and autonomous mobility fields 🚀.

🔹 Awards & Honors

  • 🥇 National Second Prize, 17th National College Student Computer Design Competition (2024)

  • 🥉 National Bronze & Shanghai Gold, China Innovation Competition (2024)

  • 🥇 Shanghai Gold Award, Career Planning Competition (2024)

  • 🏅 First Prize, Shanghai College Student Computer Application Competition (2024)

  • 🥈 Shanghai Second Prize, Ti Cup Electronic Design Contest (2023)

  • 🥉 Bronze Award, “Challenge Cup” Entrepreneurship Plan Competition

  • 🥉 Shanghai Third Prize, China Robot & AI Competition (2024)

  • 🎖 National Motivational Scholarship ×3

  • 🎓 President “Qing Yun” Scholarship

  • 🎗 School Special Scholarship

Publication Top Notes

  • “The Feasibility Assessment Study of Bridge Crack Width Recognition in Images Based on Special Inspection UAV”
    Cited by: 13 | Year: 2020 ​

  • “Intelligent Crack Detection and Quantification in the Concrete Bridge: A Deep Learning-Assisted Image Processing Approach”
    Cited by: 20 | Year: 2022

Conclusion

Su Yumeng’s combination of academic excellence, deep technical knowledge, hands-on innovation, and research impact clearly distinguishes him as an ideal recipient of the Best Researcher Award. His contributions as an undergraduate are extraordinary and reflect the potential of a future global leader in AI and robotics research.