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.

Prof. Jade H.-Y. Chen is a globally recognized scholar, innovator, and thought leader in artificial intelligence, aerospace, smart healthcare, and digital transformation. With a rich academic and entrepreneurial background, she has bridged the gap between cutting-edge research and impactful real-world applications. Her work fuses disciplines such as AI, robotics, 6G communications, and biomedical informatics, earning her widespread acclaim across academia, industry, and government sectors. Passionate about technology for human-centered development, she has become a symbol of excellence in interdisciplinary research and innovation.

Profile:

Scopus |Google Scholar

Education:

Prof. Chen holds a Ph.D. in Mechanical Engineering from National Cheng Kung University, Taiwan, where she specialized in advanced systems engineering and intelligent technologies. Her academic foundation laid the groundwork for a multi-faceted career spanning smart systems, AI algorithms, and automation. She also pursued advanced research fellowships at institutions like MIT, McGill University, and Washington University, further expanding her technical horizon and global academic influence.

Professional Experience:

She currently serves as Dean, CTO, and Director in various academic and technological institutions across Taiwan and the Asia-Pacific region. Prof. Chen plays a leading role in cross-sectoral innovation—advising AI startups, mentoring young researchers, and collaborating with multinational firms on smart manufacturing and health-tech projects. Her professional influence extends beyond borders, making her a strategic figure in global digital transformation efforts.

Research Experience:

Prof. Chen has spearheaded more than 30 national and international research projects focusing on artificial intelligence, digital twins, smart agriculture, aerospace propulsion, and blockchain-integrated healthcare. She has published over 20 SCI-indexed articles in reputed journals such as Scientific Reports and Nature Humanities and Social Sciences Communications. Her research is often interdisciplinary—blending soft computing, big data, remote sensing, and human-centered AI—making her a pioneer in solving complex problems with integrated approaches.

Awards & Honors:

Prof. Chen has received numerous accolades, including the Outstanding Scientist Award 2024 from ScienceFather, IEEE Talents Award, and recognition as a Fellow of IET (UK) and ASEAN Fellow. She has also been appointed as a Changjiang Scholar Distinguished Professor, one of the most prestigious academic titles in China. In addition, her contributions have been recognized through international keynote speaker invitations and advisory roles in top global conferences and journals.

Global Collaborations:

Prof. Chen has engaged in international R&D partnerships with institutions such as University of California, University of Texas, and University of Sydney. She has delivered over 100 keynote and plenary talks in 15+ countries, emphasizing her role as a global voice in science and innovation. Her efforts have directly contributed to smart city development, AI-driven agriculture, medical data analytics, and aerospace AI systems.

Publications:

  • Exploring the sensitivity of next generation gravitational wave detectors
    BP Abbott, R Abbott, TD Abbott, MR Abernathy, K Ackley, C Adams, …
    Classical and Quantum Gravity, 34(4), 044001 (2017) – Cited by 1,529

  • Cosmology intertwined: A review of the particle physics, astrophysics, and cosmology associated with the cosmological tensions and anomalies
    E Abdalla, GF Abellán, A Aboubrahim, A Agnello, Ö Akarsu, Y Akrami, …
    Journal of High Energy Astrophysics, 34, 49–211 (2022) – Cited by 1,319

  • Carbon nanotube computer
    MM Shulaker, G Hills, N Patil, H Wei, HY Chen, HSP Wong, S Mitra
    Nature, 501(7468), 526–530 (2013) – Cited by 1,227

  • Three-dimensional reconstruction of a solid-oxide fuel-cell anode
    JR Wilson, W Kobsiriphat, R Mendoza, HY Chen, JM Hiller, DJ Miller, …
    Nature Materials, 5(7), 541–544 (2006) – Cited by 1,018

  • GPR55 is a cannabinoid receptor that increases intracellular calcium and inhibits M current
    JE Lauckner, JB Jensen, HY Chen, HC Lu, B Hille, K Mackie
    PNAS, 105(7), 2699–2704 (2008) – Cited by 893

  • Plasmonic nanolaser using epitaxially grown silver film
    YJ Lu, J Kim, HY Chen, C Wu, N Dabidian, CE Sanders, CY Wang, MY Lu, …
    Science, 337(6093), 450–453 (2012) – Cited by 878

  • Translation and back‐translation in qualitative nursing research: methodological review
    HY Chen, JRP Boore
    Journal of Clinical Nursing, 19(1–2), 234–239 (2010) – Cited by 870

  • Hyper Suprime-Cam: System design and verification of image quality
    S Miyazaki, Y Komiyama, S Kawanomoto, Y Doi, H Furusawa, T Hamana, …
    Publications of the Astronomical Society of Japan, 70(SP1), S1 (2018) – Cited by 645

  • The H0 Olympics: A fair ranking of proposed models
    N Schöneberg, GF Abellán, AP Sánchez, SJ Witte, V Poulin, …
    Physics Reports, 984, 1–55 (2022) – Cited by 468

  • Hyper Suprime-Cam
    S Miyazaki, Y Komiyama, H Nakaya, Y Kamata, Y Doi, T Hamana, …
    SPIE Proceedings: Ground-based and Airborne Instrumentation for Astronomy IV, 8446 (2012) – Cited by 380

Chuanbo Cui | Engineering | Best Researcher Award

Published on by Phenomenological Research Awards

Prof. Chuanbo Cui | Engineering | Best Researcher Award

Associate professor at Taiyuan University of Technology, China.

Dr. Chuanbo Cui 🎓 is an Associate Professor at the School of Safety and Emergency Management Engineering, Taiyuan University of Technology 🏫. He specializes in mine ventilation, fire prevention, and emergency escape systems in coal mining operations 🔥🚨. Dr. Cui obtained his Ph.D. in Engineering from the China University of Mining and Technology 🎓 and served as a visiting scholar at the University of Maryland in the USA 🌍. A prolific researcher, he has authored numerous SCI-indexed publications 📚, holds 16+ patents 🔏, and contributes actively to coal mine safety innovation and practical industrial applications 🛠️.

Professional Profile:

Scopus

Suitability for Best Researcher Award – Dr. Chuanbo Cui

Dr. Chuanbo Cui is a highly suitable candidate for the Best Researcher Award owing to his profound and practical contributions to the fields of mine safety, fire prevention, and spontaneous combustion control. As an Associate Professor and a lead researcher in safety and emergency management, he has bridged the gap between academic research and real-world industrial applications. His interdisciplinary work has led to significant advancements in fire suppression technology, safety engineering, and disaster mitigation strategies, especially in the high-risk environment of coal mining.

🔹 Education & Experience

  • 🎓 B.Sc. in Mathematics and Applied Mathematics – China University of Mining and Technology (2014)

  • 🎓 Ph.D. in Safety Science and Engineering – China University of Mining and Technology (2019)

  • 🌍 Visiting Scholar – Department of Fire Protection Engineering, University of Maryland, USA (2018)

  • 👨‍🏫 Associate Professor – Taiyuan University of Technology (Dec 2019–Present)

🔹 Professional Development

Dr. Cui has demonstrated a commitment to professional development through active research, collaboration, and innovation 📚🤝. He has completed multiple national and provincial-level projects funded by the National Natural Science Foundation of China and other academic bodies 🏢📑. As a member of the Doctoral Think Tank Working Committee under the China International Science and Technology Promotion Association 💡🇨🇳, he contributes to policy and scientific advancement. Dr. Cui also collaborates on initiatives with prestigious institutions and laboratories 🔬, transforming academic findings into real-world technologies that advance mine safety and emergency preparedness 🚨⛑️.

🔹 Research Focus

Dr. Cui’s research is centered on mine safety and disaster risk reduction 🚧🔥. His work includes ventilation systems, fire prevention and extinguishing technologies, spontaneous combustion inhibition, and emergency management in underground coal mining 🏞️🛠️. He explores novel materials like thermo-sensitive inhibitors and microcapsule agents for mitigating fire and explosion hazards 🔬💥. Additionally, he develops virtual reality (VR) systems for fire escape training, enhancing preparedness and psychological resilience 🧠🕹️. His interdisciplinary research spans safety monitoring, gas dynamics, and emergency avoidance, contributing practical innovations to high-risk industrial environments ⚙️🛡️.

🔹 Awards and Honors 🏆

  • 🥇 Best Researcher Award Nominee – (Category preference submitted)

  • 🏅 Recognized as a key contributor to national safety innovation projects

  • 📜 Multiple authorized Chinese patents in mine safety, fire suppression, and mechanical devices

  • 🤝 Participated in high-impact national-level collaborations and provincial key research programs

Publication Top Notes

📄 1. Multiple Indicator Gases and Temperature Prediction of Coal Spontaneous Combustion Oxidation Process

Authors: Changkui Lei, Quanchao Feng, Yaoqian Zhu, Ruoyu Bao, Cunbao Deng
Journal: Fuel
Year: 2025
Abstract Summary:
This study investigates the correlation between multiple indicator gases and temperature evolution during the spontaneous combustion of coal. By analyzing the generation and migration of gases such as CO, CO₂, and hydrocarbons under controlled oxidation conditions, the authors propose a temperature prediction model to monitor early signs of combustion. This model is essential for improving mine safety and preventing fire hazards.

📄 2. Migration Characteristics and Prediction of High Temperature Points in Coal Spontaneous Combustion

Authors: Changkui Lei, Yaoqian Zhu, Quanchao Feng, Chuanbo Cui, Cunbao Deng
Journal: Energy
Year: 2025
Abstract Summary:
This paper focuses on the dynamic behavior of high-temperature zones during the spontaneous combustion of coal. The authors model the migration of these hot spots based on thermal diffusion theory and propose a predictive framework to locate them before critical ignition. This research aids in early detection and mitigation of combustion risks in coal mining.