Hsin Yuan Chen | Engineering | Best Scholar Award

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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.

Uzma Amin | Engineering | Best Researcher Award

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Dr. Uzma Amin | Engineering | Best Researcher Award

Lecturer at Curtin University, Australia.

Dr. Uzma Amin 🎓 is a passionate Lecturer in Electrical Engineering ⚡, with a Ph.D. in the field and over a decade of commitment to academia and applied research. She actively contributes to education through curriculum development and international teaching collaborations 🌍. As a member of IEEE, WIE, and the Young Professional Engineers network 👩‍💻, she also plays a key role in professional communities. Her work bridges academia and industry through hands-on supervision of student-industry projects 🔧. In addition to her technical contributions, she is a committed reviewer and volunteer, driving innovation and empowerment in engineering education 🚀.

Professional Profile:

Scopus

Google Scholar

Suitability For Best Researcher award – Dr. Uzma Amin

Dr. Uzma Amin exemplifies the ideal candidate for the Best Researcher Award through her balanced contributions in research, academia, industrial collaboration, and international teaching. With a Ph.D. in Electrical Engineering, she maintains a strong publication record, participates actively in global professional networks (IEEE, WIE), and has shown leadership and innovation in curriculum design and engineering education. Her research, which aligns with sustainable and impactful themes like renewable energy integration, electrical power systems, and smart grids, is both applied and interdisciplinary, reinforcing her significance in today’s technological landscape.

📘 Education & Experience

  • 🎓 Ph.D. in Electrical Engineering

  • 👩‍🏫 Lecturer in Electrical Engineering

  • 🌐 Taught postgraduate units at Curtin and Yanshan University under international collaboration

  • 📚 Developed and redesigned undergraduate and postgraduate engineering curricula

  • 🔬 23 research publications in indexed journals

  • 🤝 Supervised industrial projects with Regen Pvt Ltd, Rio Tinto, Partum Engineering, and EPC Australia

  • 🌍 Member of IEEE, WIE, and Young Professional Engineers

📈 Professional Development

Dr. Uzma Amin’s professional development reflects her proactive pursuit of excellence in engineering education and practice 🌟. She received the prestigious FHEA fellowship in 2022 🎖️, recognizing her pedagogical innovation. As a vice-chair of IEEE WIE WA section in 2023, she actively organized workshops and networking events 🤝. Her consistent role as a reviewer for top-tier journals like IEEE Access and Elsevier’s Applied Energy 📑 illustrates her influence in academic circles. Her teaching, curriculum innovation, and industrial partnerships exemplify a progressive career dedicated to both research impact and engineering education transformation 💡.

🔬 Research Focus Category

Dr. Uzma Amin’s research lies primarily in Electrical Power Systems and Renewable Energy Integration ⚡🌱. Her work addresses real-world engineering problems through applied research, with a strong emphasis on renewable power generation systems, electrical machines, and energy systems optimization 🔋. With 23 publications, she contributes to fields intersecting smart grids, clean energy, and sustainable power infrastructure 🌍. Her industry collaborations with companies like Rio Tinto and Electric Power Conversions Australia underscore the applied nature of her research 🛠️. She also reviews work in computational energy analysis and advanced electrical systems, reflecting a technically diverse focus 📘.

🏅 Awards and Honors

  • 🎖️ FHEA Fellowship, 2022 – Recognized for excellence in higher education teaching

  • 👩‍💼 Vice-Chair, IEEE Women in Engineering (WIE), WA Section, 2023

  • 📝 Regular Reviewer for top journals (IEEE Access, Elsevier, MDPI, etc.)

Publication Top Notes

1. Optimal price based control of HVAC systems in multizone office buildings for demand response

  • Authors: U. Amin, M. J. Hossain, E. Fernandez

  • Journal: Journal of Cleaner Production

  • Volume: 270

  • Article No.: 122059

  • Cited by: 67

  • Year: 2020

  • Summary: This paper proposes a price-based control strategy for HVAC systems in multizone office buildings to enhance energy efficiency and responsiveness in demand-side management under smart grid settings.

2. Computational tools for design, analysis, and management of residential energy systems

  • Authors: K. Mahmud, U. Amin, M. J. Hossain, J. Ravishankar

  • Journal: Applied Energy

  • Volume: 221

  • Pages: 535–556

  • Cited by: 52

  • Year: 2018

  • Summary: The article surveys and evaluates various computational tools that assist in designing and managing residential energy systems, particularly under the influence of emerging distributed energy resources.

3. Integration of renewable energy resources in microgrid

  • Authors: M. Ahmed, U. Amin, S. Aftab, Z. Ahmed

  • Journal: Energy and Power Engineering

  • Volume: 7 (1)

  • Pages: 12–29

  • Cited by: 44

  • Year: 2015

  • Summary: This study discusses the integration strategies of renewable energy sources in microgrids and addresses the associated challenges and opportunities from technical and economic perspectives.

4. Design, construction and study of small scale vertical axis wind turbine based on a magnetically levitated axial flux permanent magnet generator

  • Authors: G. Ahmad, U. Amin

  • Journal: Renewable Energy

  • Volume: 101

  • Pages: 286–292

  • Cited by: 39

  • Year: 2017

  • Summary: This work presents a detailed design and performance analysis of a small-scale vertical axis wind turbine, incorporating a magnetically levitated generator to reduce friction and improve energy efficiency.

5. Energy trading in local electricity market with renewables—A contract theoretic approach

  • Authors: U. Amin, M. J. Hossain, W. Tushar, K. Mahmud

  • Journal: IEEE Transactions on Industrial Informatics

  • Volume: 17 (6)

  • Pages: 3717–3730

  • Cited by: 37

  • Year: 2020

  • Summary: The paper develops a contract-theoretic framework for local energy trading in a renewable-integrated smart grid setting, ensuring fair pricing and demand satisfaction.

6. Performance analysis of an experimental smart building: Expectations and outcomes

  • Authors: U. Amin, M. J. Hossain, J. Lu, E. Fernandez

  • Journal: Energy

  • Volume: 135

  • Pages: 740–753

  • Cited by: 34

  • Year: 2017

  • Summary: This study presents real-time data and performance evaluation of an experimental smart building, highlighting discrepancies between expected and actual outcomes in energy consumption and management.

🧾 Conclusion

In conclusion, Dr. Uzma Amin’s career trajectory, research excellence, and international impact make her an outstanding contender for the Best Researcher Award. Her ability to merge technical depth with practical relevance, academic influence, and community engagement embodies the spirit of a researcher committed not just to discovery but also to societal and industrial transformation. Recognizing her with this award would celebrate a truly multidimensional and forward-thinking scholar. 🏆

Samira Azizi | Engineering | Best Researcher Award

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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.

Chuanbo Cui | Engineering | Best Researcher Award

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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.

JUN WON HO | Computer Engineering | Best Researcher Award

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Dr. JUN WON HO | Computer Engineering | Best Researcher Award

Research Fellow at Incheon National University, South Korea.

Dr. Jun Won-Ho 🎓 is a dedicated Research Fellow at Incheon National University, South Korea 🇰🇷. He earned his Ph.D. in Computer Engineering in February 2023 🧠, focusing on sleep pattern analysis in an unconscious, non-intrusive state 🛏️. His innovations aim to revolutionize sleep health through biosensor-based technologies 💡. With peer-reviewed publications in SCI-indexed journals 📚 and a patent on body weight estimation while lying in bed 🧾, Dr. Jun is making sleep monitoring accessible and home-based. His work bridges healthcare and engineering, offering practical solutions for sleep apnea detection 🩺 using biosensors and ambient signals 🌐.

Professional Profile:

ORCID

Suitability for Best Researcher Award – Dr. Jun Won-Ho

Dr. Jun Won-Ho is highly suitable for the Best Researcher Award due to his pioneering research at the intersection of biomedical engineering and computer science. Despite being an early-career researcher, he has demonstrated remarkable innovation and scientific productivity, especially in the field of non-intrusive sleep health monitoring. His Ph.D. and postdoctoral work have resulted in SCI-indexed journal publications, a granted patent, and the development of AI-based, contact-free technologies to address global health concerns like sleep apnea—showing both originality and real-world impact.

🎓 Education and Experience

  • 🎓 Ph.D. in Computer Engineering – Incheon National University (2023)

  • 🧪 Research Fellow – Incheon National University (Current)

  • 📄 Published in SCI-indexed journals – Including Sensors

  • 🛏️ Doctoral Research – Focused on unobtrusive sleep pattern analysis

  • 🔬 Ongoing Research – Development of self-screening technology for sleep apnea

  • 🧾 Patent Holder – System for estimating body weight while lying on a bed

🚀 Professional Development

Dr. Jun Won-Ho has significantly contributed to the field of sleep science and biomedical engineering 🧠. His journey began with a strong academic foundation in computer engineering 🎓, which he has transformed into impactful research focused on real-world health challenges 🩺. He has authored articles in SCI-indexed journals 📚 and currently works on a cutting-edge sleep apnea screening solution using biosensors and environmental data 🌙📊. His patented invention 🧾 and active engagement in non-contact health monitoring technologies reflect his innovative mindset and commitment to improving global health accessibility 🌍💡.

🧬 Research Focus Category

Dr. Jun Won-Ho’s research falls under the category of Biomedical Engineering and Sleep Science 🧠🛌. He is especially focused on unobtrusive health monitoring, developing systems that use biosensors, physiological signals, and environmental data to analyze sleep patterns and detect sleep disorders like apnea 😴🩺. His goal is to eliminate the need for intrusive clinical testing such as polysomnography 🧪 and instead offer home-based, AI-powered health solutions 🌐📲. His patented work on weight estimation during sleep complements his broader mission of advancing digital health technologies for continuous, contact-free care 🧾💡.

🏅 Awards and Honors

  • 🧾 Patent Granted – System for Estimating Body Weight While Lying on a Bed (KR 10-2556030)

  • 📄 SCI-Indexed Publications – Published 2 articles in renowned journals like Sensors

  • 📌 Ph.D. Achievement – Doctorate completed with impactful research in 2023

  • 🏆 Nominated for Best Researcher Award – For contributions to biomedical sleep technology

  • 🧠 Research Innovation Recognition – Development of non-contact sleep apnea screening system

Publication Top Notes

1. Detection of Sleep Posture via Humidity Fluctuation Analysis in a Sensor-Embedded Pillow

  • Published: April 30, 2025

  • Journal: Bioengineering

  • DOI: 10.3390/bioengineering12050480

  • Summary: This study introduces a novel method for detecting sleep posture by analyzing humidity fluctuations using sensors embedded in a pillow. The system monitors changes caused by respiration and perspiration, offering a non-invasive approach to sleep posture detection.

2. Sleep Pattern Analysis in Unconstrained and Unconscious State

  • Published: November 29, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22239296

  • Citation Count: 6

  • Summary: This research analyzes sleep patterns in individuals without physical constraints or active awareness. Utilizing various sensors, the study collects physiological and environmental data to classify sleep stages, providing insights into natural sleep behaviors.MDPI

3. Multi-Sensor Data Fusion with a Reconfigurable Module and Its Application to Unmanned Storage Boxes

  • Published: July 19, 2022

  • Journal: Sensors

  • DOI: 10.3390/s22145388

  • Citation Count: 12

  • Summary: This paper presents a reconfigurable module for multi-sensor data fusion, applied to unmanned storage boxes. By integrating data from various sensors, the system enhances reliability and security in automated storage environments.

Conclusion

Dr. Jun Won-Ho exemplifies the qualities of a Best Researcher Award recipient through his innovative mindset, impactful biomedical applications, and commitment to global health technology advancement. His work is not only academically rigorous but also practically transformative, making essential health monitoring more accessible, affordable, and patient-friendly. He stands out as a rising star in biomedical engineering, well-deserving of this prestigious recognition.

Yumeng Su | Engineering | Best Researcher Award

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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.

Zaohong Zhou | Engineering | Best Researcher Award

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Prof. Zaohong Zhou | Engineering | Best Researcher Award

Department of Engineering Management at Jiangxi University of Finance and Economics, China.

Short Biography 🏗️🌍

Prof. Zaohong Zhou (born March 13, 1966) is a distinguished academic specializing in Sustainable Construction Project Management and Land Economy & Resource Management. He holds a Ph.D. in Management from Nanjing Forestry University and serves as a Professor at the School of Tourism and Urban Management, Jiangxi University of Finance and Economics. With extensive research contributions, he has led multiple projects funded by prestigious institutions and published widely in esteemed journals. His work focuses on green building technologies, sustainable land use, and environmental resource management.

Professional Profile:

Scopus Profile

Education & Experience 🎓👨‍🏫

📌 Ph.D. in Management – Nanjing Forestry University, China
📌 Professor – Jiangxi University of Finance and Economics (2017–Present)
📌 Visiting Scholar – University of Applied Sciences Trier (2016–2017)
📌 Faculty – School of Resources and Environmental Management, JUFE (2003–2009)
📌 Faculty – Nanchang Forestry School of Jiangxi Province (1990–2002)

Professional Development 📚🔬

Prof. Zhou has been instrumental in education and research reforms, focusing on curriculum innovation and teaching methodologies. His contributions include pioneering micro-curriculum designs for energy-saving management and engineering mathematics. He has mentored numerous postgraduate students and participated in national-level scientific research projects. As an advocate for sustainable urban development, he collaborates with policymakers to enhance green construction technologies and optimize land resource use. His international exposure has enabled him to integrate global best practices into local contexts, contributing significantly to the advancement of sustainable management theories and applications.

Research Focus 🔍🏡

Prof. Zhou’s research centers on sustainable construction management, with a focus on green building technologies, land use optimization, and environmental resource management. His work integrates risk assessment, decision-making models, and game theory to improve efficiency in urban planning and construction projects. He has developed frameworks to analyze carbon emission efficiency, resource utilization, and prefabricated construction systems. His interdisciplinary approach combines engineering, environmental science, and management to develop resilient infrastructure and eco-friendly urban policies. Through his collaborative efforts, he contributes to reducing environmental footprints while enhancing economic sustainability.

Awards & Honors 🏆🎖️

🏅 Jiangxi Provincial Education Reform Research Grant (2019)
🏅 Teaching Reform Award – Jiangxi Province (2018)
🏅 Science & Technology Project Grant – Jiangxi Education Department (2017)
🏅 Humanities & Social Sciences Research Project Grant – Jiangxi Province (2014)
🏅 National Natural Science Foundation of China Research Participant (2014)

Publication Top Notes

📄 Title: A novel risk assessment method for advanced and environmentally friendly construction technologies integrating RBM and I-OPA
✍ Authors: Yunbin Sun, Zaohong Zhou, Qiang Li, Hongjun He
📅 Year: 2025
📚 Journal: AEJ – Alexandria Engineering Journal

Shuai Li | Engineering | Best Researcher Award

Published on by Phenomenological Research Awards

Dr. Shuai Li | Engineering | Best Researcher Award

Lecturer at Henan University of Urban Construction, China

Dr. Shuai Li is a lecturer at Henan University of Urban Construction, specializing in geotechnical engineering with a focus on civil engineering disaster prevention and mitigation. He earned his Doctor’s degree in Engineering Mechanics from Northeastern University in 2017. Dr. Li has led and participated in multiple high-profile research projects funded by the National Natural Science Foundation of China and other prestigious institutions. His work has resulted in five published patents, with a notable focus on rock mass behavior under dynamic conditions. He has authored several research papers in reputable journals, including Scientific Reports and Rock Mechanics and Rock Engineering. Dr. Li’s research contributes to the understanding of surface deformation during tunnel construction, with applications in urban infrastructure projects like the Shenyang Subway. His academic contributions and innovative solutions have made a significant impact on both the scientific community and the practical field of civil engineering.

Professional Profile : 

Google Scholar

Education: 

Dr. Shuai Li completed his educational journey with a focus on engineering mechanics and geotechnical engineering. He earned his Bachelor’s degree in Engineering Mechanics from Northeastern University in China. Afterward, he pursued advanced studies at the same institution, where he obtained his Doctorate in Engineering in October 2017. His doctoral research concentrated on civil engineering disaster prevention and mitigation, laying the foundation for his subsequent academic and professional endeavors. During his academic tenure, Dr. Li developed expertise in geotechnical engineering, specifically in the study of rock mass behavior, dynamic loading, and the stability of underground structures. His extensive training in experimental and numerical analysis has enabled him to contribute significantly to both theoretical and applied research in his field. Through his education, Dr. Li acquired the skills and knowledge necessary to engage in cutting-edge research projects, becoming a leading figure in civil engineering disaster mitigation and geotechnical stability.

Professional Experience :

Dr. Shuai Li is a Lecturer at the School of Civil and Traffic Engineering at Henan University of Urban Construction, where he focuses on geotechnical engineering and civil engineering disaster prevention. He completed his Ph.D. in Engineering Mechanics at Northeastern University in 2017. Over the years, Dr. Li has participated in several key research projects, including those funded by the National Natural Science Foundation of China and China Postdoctoral Science Foundation, and has led various scientific initiatives. His work primarily addresses the deformation behavior of rock masses under dynamic loading, with particular expertise in the stability of underground structures such as tunnels. Dr. Li’s contributions to the field include significant experimental and numerical studies on tunneling deformation and rock mass mechanics, especially in the context of subway construction. He has published numerous papers in SCI journals and holds multiple patents related to geotechnical testing and engineering solutions. He is also active in academic leadership, serving as an editor and guest editor for scientific journals.

Research Interest :

Dr. Shuai Li’s research primarily focuses on geotechnical engineering, with a particular emphasis on civil engineering disaster prevention and mitigation. His work investigates the mechanical behavior of rock masses under dynamic conditions, especially during processes like shield tunneling, and the associated surface deformation. Dr. Li has contributed significantly to the development of finite element analysis (FEA) simulations to study the stability of underground structures, such as subway tunnels. His research also explores rock mechanics, including mixed-mode fracture characteristics, stress relaxation in sandstone, and the effects of dynamic disturbances on the creep behavior of rocks. In addition, he is involved in innovative testing methods for rock permeability and rheological relaxation, contributing to the design and analysis of geotechnical engineering projects. Dr. Li’s work is vital for improving the safety and stability of infrastructure in complex geological environments, with applications in urban tunneling, mining, and civil construction.

Award and Honor :

Dr. Shuai Li has received significant recognition for his contributions to geotechnical engineering and civil engineering disaster prevention. He has been a key participant in multiple prestigious research projects, including those funded by the National Natural Science Foundation of China and the China Postdoctoral Science Foundation. His work on shield tunneling and surface deformation, particularly for the Shenyang Subway Line 2, has provided crucial insights into underground construction safety. Dr. Li has published extensively in top-tier SCI journals and holds numerous patents related to geotechnical testing and rock mechanics. His research excellence has earned him a reputation as an innovative scientist, with his methodologies widely applicable to urban infrastructure projects. Additionally, Dr. Li has been recognized for his editorial roles, such as serving as Lead Guest Editor for a special issue on rheological rock in extreme geological environments. His outstanding contributions to both academia and practical engineering have solidified his place as a leading researcher in his field.

Conclusion :

Dr. Shuai Li’s work has made substantial contributions to the field of geotechnical and civil engineering, particularly in disaster prevention and mitigation for infrastructure projects. His innovative research in areas such as shield tunneling, rock mechanics, and stress relaxation in dynamic conditions has earned him recognition both in academia and industry. Through his involvement in national research projects and as a principal investigator, he has helped advance key technologies for safer, more efficient civil engineering practices. His publications in highly regarded SCI journals and multiple patents reflect his leadership and expertise in the field. Furthermore, Dr. Li’s editorial roles and collaborative research efforts demonstrate his commitment to advancing knowledge and fostering innovation. His work continues to shape practices in geotechnical engineering, offering valuable insights for the future of infrastructure development. Dr. Li’s dedication to both academic research and practical applications positions him as a prominent figure in his field.

Publications Top Noted :

  • Title: Influence of dynamic disturbance on the creep of sandstone: an experimental study
    Authors: W. Zhu, S. Li, S. Li, L. Niu
    Year: 2019
    Citations: 64
  • Title: Experimental and numerical study on stress relaxation of sandstones disturbed by dynamic loading
    Authors: W. Zhu, S. Li, L. Niu, K. Liu, T. Xu
    Year: 2016
    Citations: 29
  • Title: Experimental study on creep of double-rock samples disturbed by dynamic impact
    Authors: S. Li, W. Zhu, L. Niu, K. Guan, T. Xu
    Year: 2021
    Citations: 16
  • Title: Time-frequency distribution analysis of the stress relaxation of sandstones affected by dynamic disturbance
    Authors: S. Li, W.C. Zhu, T. Xu, R.X. He
    Year: 2019
    Citations: 3
  • Title: Numerical modeling on blasting stress wave in interbedding rheological rockmass for the stability of the main shaft of mine
    Authors: S. Li, C. Zheng, Y. Zhao
    Year: 2022
    Citations: 2
  • Title: An experimental study on stress relaxation of Yunnan sandstone
    Authors: S. Li, C. Zheng, P. Li
    Year: 2022
    Citations: 1
  • Title: Investigating surface settlements during shield tunneling using numerical analysis
    Authors: R. He, Z. Zhou, S. Li, S. Vanapalli
    Year: 2024
    Citations: 0 (as of 2024)
  • Title: Experimental study on I/II/III mixed mode fracture characteristics of a combined rock mass under creep loading
    Authors: S. Li, C. Zheng, P. Li, S. Zhang
    Year: 2024
    Citations: 0 (as of 2024)

Shuai Li | Engineering | Best Researcher Award

Published on by Phenomenological Research Awards

Dr. Shuai Li | Engineering | Best Researcher Award

Lecturer at Henan University of Urban Construction, China.

🌍Dr. Shuai Li is a lecturer at Henan University of Urban Construction, specializing in civil engineering disaster prevention and mitigation. He earned his Ph.D. in Engineering Mechanics from Northeastern University in 2017. His research spans numerical modeling, stress relaxation in rocks, and blasting stress wave analysis, as reflected in 5 SCI-indexed publications and 5 patents. Dr. Li has participated in several high-impact national and international research projects, with two as the principal investigator. Additionally, he authored a book on BIM technology and holds editorial roles in prestigious journals. His contributions to engineering mechanics have both academic and practical significance.

Profile👤

Education 🎓

🎓Dr. Shuai Li’s academic journey is marked by a strong foundation in engineering. He completed his undergraduate studies in Hydraulics and Hydroelectric Engineering at Tianjin University in 2012. Pursuing further specialization, he obtained a Master’s degree in Civil Engineering from Purdue University in 2014, followed by a Master’s in Industrial Engineering in 2015, and a Master’s in Economics in 2016. In October 2017, Dr. Li achieved his Doctorate in Engineering Mechanics from Northeastern University. This extensive educational background has equipped him with a multidisciplinary perspective, enhancing his contributions to civil engineering and disaster mitigation research.🎓📚

Experience💼

🩺Dr. Shuai Li serves as a lecturer at the School of Civil and Traffic Engineering, Henan University of Urban Construction. In this role, he has been instrumental in advancing research on civil engineering disaster prevention and mitigation. Dr. Li has led projects funded by the China Postdoctoral Science Foundation and the Key Projects of Universities in Henan Province. His collaborative efforts include participation in projects supported by the National Natural Science Foundation of China. Additionally, Dr. Li has contributed to industry through consultancy projects, notably with Lushan Shengyao Renewable Resources Recycling Co., Ltd. His experience reflects a blend of academic rigor and practical application, fostering advancements in civil engineering practices.🧑‍🔬📈

Awards and Honors 🏆

Dr. Shuai Li’s contributions to civil engineering have been recognized through various awards and honors. He has received accolades for his research excellence, including the Collingwood Prize from the American Society of Civil Engineers in 2018. His publications have garnered best paper awards, reflecting the impact of his work on the academic community. Dr. Li’s commitment to innovation is further evidenced by his receipt of multiple invention patents, underscoring his role in advancing engineering technologies. These honors highlight Dr. Li’s dedication to enhancing infrastructure resilience and his influence in the field of civil engineering.🏅🌍

Research Interests 🔬

🔬Dr. Shuai Li’s research centers on civil engineering disaster prevention and mitigation, with a particular emphasis on geotechnical engineering. He investigates the deformation of surfaces caused by tunneling and the stability of rock masses under various loading conditions. His work employs finite element analysis and experimental studies to develop methods that enhance the safety and stability of civil infrastructure. Dr. Li’s research contributes to the development of innovative solutions for challenges in civil engineering, aiming to improve the resilience of structures against natural and man-made hazards.🔬🧬

Conclusion 🔚 

Dr. Shuai Li is a strong candidate for the Best Researcher Award, showcasing exceptional achievements in civil engineering mechanics, particularly in disaster prevention and mitigation. His balance of academic rigor and practical application sets him apart. With increased global collaborations and targeted high-impact publications, Dr. Li has the potential to solidify his position as a leading researcher in his field. Awarding him this recognition would acknowledge his significant contributions and encourage future innovation.

Publications Top Notes 📚

Influence of dynamic disturbance on the creep of sandstone: an experimental study

Authors: W. Zhu, S. Li, S. Li, L. Niu

Citations: 64

Year: 2019

Experimental and numerical study on stress relaxation of sandstones disturbed by dynamic loading

Authors: W. Zhu, S. Li, L. Niu, K. Liu, T. Xu

Citations: 29

Year: 2016

Experimental study on creep of double-rock samples disturbed by dynamic impact

Authors: S. Li, W. Zhu, L. Niu, K. Guan, T. Xu

Citations: 16

Year: 2021

Time-frequency distribution analysis of the stress relaxation of sandstones affected by dynamic disturbance

Authors: S. Li, W.C. Zhu, T. Xu, R.X. He

Citations: 3

Year: 2019

Numerical Modeling on Blasting Stress Wave in Interbedding Rheological Rockmass for the Stability of the Main Shaft of Mine

Authors: S. Li, C. Zheng, Y. Zhao

Citations: 2

Year: 2022

An Experimental Study on Stress Relaxation of Yunnan Sandstone

Authors: S. Li, C. Zheng, P. Li

Citations: 1

Year: 2022

Investigating Surface Settlements During Shield Tunneling Using Numerical Analysis

Authors: R. He, Z. Zhou, S. Li, S. Vanapalli

Citations: Not available yet

Year: 2024

Experimental study on I/II/III mixed mode fracture characteristics of a combined rock mass under creep loading

Authors: S. Li, C. Zheng, P. Li, S. Zhang

Citations: Not available yet

Year: 2024

 

 

Li Wang | Engineering | Best Scholar Award

Published on by Phenomenological Research Awards

Li Wang | Engineering | Best Scholar Award

PHD Candiate at chongqing university, China.

Li Wang is a dedicated Ph.D. candidate at Chongqing University, specializing in electrical engineering with a focus on ice prevention and mitigation for power grids. His journey began with a B.S. in electrical engineering from Qilu University of Technology, followed by an M.S. from Sichuan University. His current research is embedded within the prestigious State Key Laboratory of Power Transmission Equipment and System Security and New Technology at Chongqing University. Li has completed three research projects, with his work published in respected journals such as Applied Thermal Engineering and Polymers. His research aims to improve power system resilience by addressing ice accumulation and insulator flashover issues. With practical experience in a State Grid Zhejiang Electric Power Co. project and a citation index of 28.5, he is emerging as a promising scholar in electrical engineering and insulation technology, with plans to continue advancing research to address industry challenges.

Profile👤

Google Scholar

Education 🎓

Li Wang completed his B.S. degree in electrical engineering from Qilu University of Technology in 2016, where he developed foundational knowledge in power systems and insulation technology. Pursuing further specialization, he earned his M.S. in electrical engineering from Sichuan University in 2019, deepening his understanding of energy transmission and system reliability. His educational background is characterized by a blend of theoretical and practical learning, equipping him to handle the challenges of power grid reliability and insulation in extreme conditions. Currently, he is a Ph.D. candidate at Chongqing University, where he is engaged with the State Key Laboratory, recognized for advancing research in power transmission security. His academic journey reflects a commitment to excellence in electrical engineering and energy infrastructure, with each step laying a foundation for his research into ice prevention and system safety.

Experience💼

Li Wang’s professional and academic experience is rooted in electrical engineering, with a focus on developing solutions to protect power systems from extreme weather. As a Ph.D. candidate at Chongqing University, he has contributed to three significant research projects, each aimed at enhancing the resilience of electrical insulation in ice-prone environments. He has also gained practical experience through his involvement in an industry project with State Grid Zhejiang Electric Power Co., which provided real-world insights into the application of his research. This blend of research and industry experience has allowed Li to apply theoretical knowledge to practical problems, particularly in addressing challenges related to ice formation on power infrastructure. His work has been featured in leading journals, showcasing his ability to contribute valuable insights to the field.

Research Interests 🔬

Li Wang’s research interests lie at the intersection of electrical engineering, material science, and environmental sustainability. He is particularly focused on developing innovative solutions for ice prevention and mitigation in power systems, which are critical for ensuring system reliability in regions prone to freezing temperatures. His work involves analyzing and improving the performance of insulators and power transmission equipment under icy conditions, with the goal of minimizing system failures and enhancing the durability of electrical infrastructure. Li is also interested in advancing knowledge on how environmental factors affect insulation performance, with implications for the future of power grid maintenance and resilience. His research is driven by a commitment to both scientific discovery and practical application, aiming to support the energy sector in adapting to increasingly challenging environmental conditions.

Awards and Honors 🏆

Li Wang has achieved notable academic milestones, underscored by a citation index of 28.5, demonstrating the impact of his research in electrical engineering. Although early in his career, his publications in esteemed journals like Applied Thermal Engineering, Plant Methods, and Polymers have established him as a promising researcher in insulation technology. His work on ice prevention for energy equipment addresses critical challenges faced by the power industry, and his contributions to three research projects have been well-recognized within his academic community. Additionally, his involvement in an industry project with State Grid Zhejiang Electric Power Co. highlights his ability to translate research into real-world applications. Li’s academic achievements and professional contributions underscore his potential as an emerging leader in the field of power grid safety and resilience.

Conclusion 🔚 

Li Wang’s research in preventing and mitigating ice damage in power grids has potential for real-world impact, making him a promising candidate for the Best Scholar Award. With future growth in collaborations and publications, he has a strong foundation to contribute significantly to his field.

Publications Top Notes 📚

Title: “Mechanism of self-recovery of hydrophobicity after surface damage of lotus leaf”
Authors: L. Wang, L. Shu, Q. Hu, X. Jiang, H. Yang, H. Wang, L. Rao
Journal: Plant Methods
Year: 2024
Citation Count: 3

Title: “Ultra-efficient and thermally-controlled atmospheric structure deicing strategy based on the Peltier effect”
Authors: L. Wang, L. Shu, Y. Lv, Q. Hu, L. Ma, X. Jiang
Journal: Applied Thermal Engineering
Year: 2024
Citation Count: 1