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

Xingjia Li | Robotics | Best Researcher Award

Published on by Phenomenological Research Awards

Dr. Xingjia Li | Robotics | Best Researcher Award

Senior Engineer at Shanghai Liangxin Electrical Co., Ltd., China.

Dr. Xingjia Li 🎓 is a dynamic early-career researcher specializing in robotics 🤖 and electrical systems ⚡. He earned his Ph.D. in Mechanical Engineering from Jiangsu University, China 🇨🇳, in 2023. Currently, he is a Postdoctoral Associate at Shanghai Liangxin Electrical Co., Ltd. 🏢, where he explores advanced sensor data processing integrated with machine learning 🤖📊. His work is focused on creating intelligent and secure systems for human-centered applications 🧠🔒. Passionate about innovation and industrial collaboration, Dr. Li aims to bridge the gap between research and real-world impact 🌐💼.

Professional Profile:

ORCID

Suitability for Best Researcher Award – Dr. Xingjia Li

Dr. Xingjia Li is a highly promising early-career researcher whose work stands at the intersection of robotics, electrical systems, and machine learning. While he is still in the early stages of his academic journey, his innovative research direction, strong industrial collaboration, and interdisciplinary approach make him a strong contender for the Best Researcher Award in the early-career or emerging researcher category. His focus on human-centered intelligent systems showcases a commitment to solving real-world problems using advanced technologies, a quality that aligns perfectly with the spirit of this award.

🔹 Education & Experience

🎓 Ph.D. in Mechanical Engineering – Jiangsu University, Zhenjiang, China (2023)
🧪 Postdoctoral Associate – Shanghai Liangxin Electrical Co., Ltd., Postdoctoral Workstation, Shanghai, China (2023–Present)
🔬 Research Interests – Robotics 🤖, Electrical Systems ⚡, Sensor Data Processing with Machine Learning 📈
🔗 Application Areas – Human-centered Systems 🧍‍♂️🛡️, Automation 🤝, Smart Devices 📲

🔹 Professional Development

Dr. Li is committed to continuous professional growth through industrial collaboration and advanced research 🤝🧪. At Shanghai Liangxin Electrical Co., Ltd., he participates in practical projects focused on secure and intelligent automation systems 🔒🤖. He actively engages in interdisciplinary learning, integrating machine learning, AI, and electrical systems to enhance innovation 📚💡. His exposure to both academic and industrial environments enables him to develop real-world applications that solve current technological challenges 🌍🛠️. By staying updated through research networks, technical seminars, and collaboration, Dr. Li positions himself as a forward-thinking researcher 📖🌐.

🔹 Research Focus Category 

Dr. Xingjia Li’s research falls under AI-driven robotics and smart electrical systems 🤖⚡. He specializes in applying machine learning techniques to process sensor data 📊🧠, enabling systems to become more intelligent, secure, and adaptive to human needs. His focus includes cyber-physical systems, human-machine interfaces, and automation technologies 💻🔧. These technologies have broad applications in healthcare, industrial automation, and smart homes 🏥🏭🏠. Dr. Li’s interdisciplinary approach combines mechanical engineering, computer science, and electrical design to create next-generation human-centric innovations 🌐🤝.

🔹 Awards & Honors

As a recent Ph.D. graduate and emerging researcher, Dr. Xingjia Li 🎓 is in the early stages of building his academic and professional recognition profile. While there are currently no publicly documented awards or honors 🏅, his active involvement in cutting-edge research projects and collaboration with industry through Shanghai Liangxin Electrical Co., Ltd. 🏢 positions him well for future accolades. With continued publication of impactful research, participation in international conferences 🌐, and contributions to innovation in robotics and machine learning 🤖📊, Dr. Li is poised to earn distinctions such as best paper awards, patents, or young researcher honors in the near future 🌟📈.

Publication Top Notes

1. Optimization of Piezoelectric Energy Harvester Using Equilibrium Optimizer Algorithm

  • Conference: 16th Symposium on Piezoelectricity, Acoustic Waves, and Device Applications (SPAWDA)

  • Date: October 11, 2022

  • DOI: 10.1109/spawda56268.2022.10046019

  • Contributors: Jian Sun, X. J. Li, J. N. Gu, M. L. Pu, H. Chen

  • Summary: This paper presents a novel approach to enhance the efficiency of piezoelectric energy harvesters by applying the Equilibrium Optimizer algorithm, a nature-inspired metaheuristic, for optimal parameter tuning. The method improves energy output and system stability.

2. Tuning ANFIS Using a Simplified Sparrow Search Algorithm

  • Journal: Advances in Transdisciplinary Engineering

  • Date: February 10, 2022

  • DOI: 10.3233/ATDE220091

  • Contributor: Xingjia Li

  • Summary: This study applies a simplified version of the Sparrow Search Algorithm to optimize the parameters of the Adaptive Neuro-Fuzzy Inference System (ANFIS), enhancing its performance in complex engineering problems.

3. A Numerical Approach for Flexoelectric Energy Harvester Modeling Using COMSOL Multiphysics

  • Conference: 15th Symposium on Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA)

  • Date: June 4, 2021

  • DOI: 10.1109/spawda51471.2021.9445427

  • Contributor: Xingjia Li

  • Summary: This paper proposes a numerical model of a flexoelectric energy harvester using COMSOL Multiphysics, addressing the coupling of mechanical and electrical domains to predict device performance accurately.

4. A Fusion Parameter Method for Classifying Freshness of Fish Based on Electrochemical Impedance Spectroscopy

  • Journal: Journal of Food Quality

  • Date: March 10, 2021

  • DOI: 10.1155/2021/6664291

  • Contributors: Jian Sun, Yuhao Liu, Gangshan Wu, Yecheng Zhang, Rongbiao Zhang, X. J. Li, Daniel Cozzolino

  • Summary: The research introduces a fusion parameter technique combining electrochemical impedance spectroscopy data to accurately classify fish freshness, demonstrating potential for food quality control applications.

5. Research on the Actuation Performance of 2D-Orthotropic Piezoelectric Composite Materials Linear Phased Array Transducer

  • Journal: Journal of Nanoscience and Nanotechnology

  • Date: August 1, 2019

  • DOI: 10.1166/jnn.2019.16814

  • Contributor: Xingjia Li

  • Summary: This article investigates the actuation performance of a 2D-orthotropic piezoelectric composite used in linear phased array transducers, highlighting the material’s anisotropic effects on acoustic wave propagation.

6. Design and Optimization for Double-Sided Interdigital Transducer with Piezoelectric Substrate

  • Conference: 13th Symposium on Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA)

  • Date: January 11, 2019

  • Contributor: Xingjia Li

  • Summary: The paper focuses on the design and optimization of double-sided interdigital transducers on piezoelectric substrates to improve device efficiency and sensitivity for acoustic applications.

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Conclusion

While Dr. Li is at the beginning of his research career, his exceptional potential, innovation-driven mindset, and strong research focus make him a suitable candidate for the Best Researcher Award (Emerging Researcher Category). His contributions already demonstrate the capacity to shape the future of robotics and intelligent systems. With continued research output and growing industrial impact, Dr. Li is on a clear path to becoming a leading figure in his field.