Prof. Dongxian He | Sensors | Innovative Research Award

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Prof. Dongxian He | Sensors | Innovative Research Award 

Prof. Dongxian He, China Agricultural University, China

Prof. Dongxian He is a distinguished expert in plant environmental physiology and agricultural bio-environment engineering at the College of Water Resources and Civil Engineering, China Agricultural University. He serves as a key contributor at the Ministry of Agriculture’s Key Laboratory for Agricultural Engineering in Structure and Environment. With a Ph.D. from Chiba University, Japan, under the mentorship of Prof. Toyoki Kozai, Prof. He has dedicated his career to advancing plant factory technologies, greenhouse productivity systems, and environmental control mechanisms. His pioneering work includes the development of LED-based plant growth equipment, intelligent environmental control systems, CO₂ enrichment technologies, and advanced information monitoring instruments. He has led major national projects such as the Intelligent Control of National Traditional Chinese Medicine Industry System (CARS-21) and intelligent harvesting equipment development for Chinese medicinal plants. Prof. He has held research positions in Japan and Denmark and continues to educate and mentor students in courses like Environmental Physiology and Plant Information Measurement Technology. His academic contributions and technological innovations significantly impact the sustainable development of modern agriculture in China.

Professional Profile:

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Summary of Suitability for the Research for Innovative Research Award: Professor Dongxian He

Professor Dongxian He is a highly suitable and deserving candidate for the Research for Innovative Research Award, given his pioneering contributions in the fields of bio-environmental engineering, plant physiology, and smart agricultural systems. His distinguished academic and professional journey, spanning over three decades and multiple international collaborations, demonstrates consistent innovation and impactful research aligned with global priorities in sustainable agriculture and environmental technologies.

🎓 Education

  • Ph.D. (1999–2002) – Chiba University, Japan 🇯🇵
    Department of Science and Technology
    Thesis: Plug-transplant production and image analysis system for sweet potato

  • M.S. (1997–1999) – Chiba University, Japan 🇯🇵
    Department of Horticulture
    Thesis: Simulation of solar radiation in PV greenhouses

  • B.S. (1988–1992) – China Agricultural University, China 🇨🇳
    Department of Engineering
    Thesis: Economic analysis in mechanized agriculture

💼 Work Experience

  • Professor – China Agricultural University (2002–Present) 👨‍🏫

  • Researcher – Danish Institute of Agricultural Engineering (2005–2006) 🇩🇰

  • JSPS Fellow – National Agricultural Research Center, Japan (2002–2005) 🧪

  • Assistant Researcher – Chiba University (1996–1997) 🧑‍🔬

  • Assistant Engineer – China Agricultural University (1992–1995) 🛠️

🌟 Key Achievements

  • Developed cutting-edge plant factory technologies including:

    • LED lighting systems 💡

    • Smart environmental and nutrient control systems 🌿

  • Advanced CO₂ enrichment and energy-efficient heating tech for greenhouses 🌡️

  • Innovated several measurement systems for soil, gas exchange, and chlorophyll fluorescence 🔬

🏆 Awards & Honors

  • 🇨🇳 Scientist Project Leader: National Traditional Chinese Medicine Industry Tech System (2019–2025)

  • 🎯 Principal Investigator: National Key R&D Program for intelligent harvesting and processing of medicinal plants (2024– )

  • 🎖️ Multiple international collaborations and fellowships, including JSPS (Japan) and Danish Agricultural Engineering Institute

Publication Top Notes:

Light/Dark Cycle Lighting Influences Growth and Energy Use Efficiency of Hydroponic Lettuces in an LED Plant Factory

Enhancing transplant quality by optimizing LED light spectrum to advance post-transplant runner plant propagation in strawberry

A microfluidic biosensor for microbial quantitative monitoring of air and nutrient solution in the plant factory

Enhancing the Photon Yield of Hydroponic Lettuce Through Stage-Wise Optimization of the Daily Light Integral in an LED Plant Factory

Higher Light Intensity Combined with Early Topping Improves the Yield and Quality of Pea Shoots in LED Plant Factory

Dr. Xiangyu Xie | Wireless Sensor Awards | Best Researcher Award

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Dr. Xiangyu Xie | Wireless Sensor Awards | Best Researcher Award

Dr. Xiangyu Xie, Guiyang University, China

Dr. Xiangyu Xie is a highly skilled researcher and engineer specializing in sensor technologies and material analytics. He currently serves as a Senior Lab Master and Group Leader of Materials Engineering at Guiyang University, where he has been leading projects since October 2017. Dr. Xie is expected to complete his PhD in Materials Science and Engineering from Harbin Engineering University by December 2024. His academic journey began with a Master’s degree in Mechanical Engineering from Guizhou University (2014–2017) and a Bachelor’s degree in Mechanical Engineering from Hunan Institute of Science and Technology (2010–2014). With extensive experience in data manipulation and project management, Dr. Xie has played a pivotal role in the Detection and Localization of Threats Project and the development of Novel Sensing Networks for Intelligent Monitoring, both funded by the National Natural Science Foundation of China. His work focuses on advanced sensor systems, including the development of RFID sensors for strain and damage mapping, and his ability to handle complex projects with evolving priorities has made him a strong leader in his field.

Professional Profile:

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Summary of Suitability for Best Researcher Award

Dr. Xiangyu Xie is highly suitable for the Best Researcher Award due to his extensive qualifications, project leadership experience, and innovative contributions to the field of sensor technologies and materials science. His academic background, including a Ph.D. in Materials Science and Engineering (expected in 2024), coupled with his Master’s and Bachelor’s degrees in Mechanical Engineering, demonstrates a solid foundation in engineering and materials research.

Working Experience and Education 🎓

  • Harbin Engineering University, Harbin, China
    📚 Doctor of Philosophy (PhD) in Materials Science and Engineering (Expected: December 2024)
  • Guiyang University, Guiyang, China
    🔬 Senior Lab Master, Group Leader of Materials Engineering (Oct 2017–Present)
  • Guizhou University, Guiyang, China
    🎓 Master of Science in Mechanical Engineering (Sep 2014–June 2017)
  • Hunan Institute of Science and Technology, Yueyang, China
    🎓 Bachelor of Science in Mechanical Engineering (Sep 2010–June 2014)

Project Experience 🧪

  • Detection and Localization of Threats Project (National Natural Science Foundation of China) (Mar 2023–Present)
    🔍 Led project direction, data processing, and qualitative/quantitative analyses.
  • Novel Sensing Networks for Intelligent Monitoring (National Natural Science Foundation of China) (Jun 2021–Present)
    🛠️ Planned content themes and developed novel structures for RFID sensors in strain and damage mapping.

Highlight of Qualifications 🌟

🔹 Rich internship and project experience in sensor technologies and material analytics with strong data manipulation skills.
🔹 Exceptional communication and interpersonal skills for effective collaboration and project management.
🔹 Self-motivated and capable of managing complex projects while balancing multiple priorities in demanding timelines.

Publication top Notes:

Passive wireless RFID strain sensor for directional-independent structural deformation monitoring

Influence of HCl in Photo-catalyzed Oxidation of Cyclohexane with Decatungstate or PMo12-nVn

An RFID smart structure using inkjet-printed additive manufacturing technology for metal crack characterization

High-Sensitivity RFID Tag Sensor with Coupled Ring Resonators for Multi-Position Crack Monitoring

Reliable Crack Monitoring Based on Guided Wave Through Periodically Loaded Transmission Line

Re-transmission Crack Sensor based on Re-configurable Series Ring Resonator

 

Best Wireless Sensing Technology

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Introduction Best Wireless Sensing Technology

Welcome to the Best Wireless Sensing Technology Award, celebrating innovation and excellence in wireless sensing technology. This prestigious award recognizes breakthroughs that revolutionize industries, enhance connectivity, and improve efficiency in various applications..

About the Award:
This award is open to individuals, teams, and organizations worldwide that have developed exceptional wireless sensing technologies. Entries will be judged based on innovation, impact, scalability, and practicality.

Eligibility:

  • Open to individuals, teams, and organizations worldwide.
  • Must have developed a wireless sensing technology that demonstrates innovation and practicality.
  • No age limit.

Qualification:
To qualify for the award, the wireless sensing technology must have been developed and implemented successfully, demonstrating its effectiveness and impact in real-world applications.

Publications:
Published research papers, patents, or technical reports that support the development and effectiveness of the wireless sensing technology are encouraged but not mandatory.

Requirements:

  • Submission must include a detailed description of the wireless sensing technology, including its design, implementation, and impact.
  • Any relevant supporting materials, such as videos, demonstrations, or prototypes, should be included.

Evaluation Criteria:
Entries will be evaluated based on the following criteria:

  • Innovation and originality of the wireless sensing technology.
  • Impact and scalability of the technology in various applications.
  • Practicality and feasibility of implementation.
  • Potential for future advancements and developments.

Submission Guidelines:

  • Submissions must be made online through the award website.
  • Include a detailed description of the wireless sensing technology, along with any supporting materials.
  • Deadline for submissions is [deadline date].

Recognition:
The winner of the Best Wireless Sensing Technology Award will receive a trophy, a cash prize of [prize amount], and recognition at an award ceremony.

Community Impact:
The winning wireless sensing technology will be highlighted as a pioneering solution with significant potential to improve lives and transform industries.

Biography:
Include a brief biography of the individual or team behind the development of the wireless sensing technology, highlighting their expertise and contributions to the field.

Abstract:
A concise abstract summarizing the key features and benefits of the wireless sensing technology.

Supporting Files:
Include any relevant supporting files, such as research papers, patents, technical reports, or videos, that demonstrate the effectiveness and impact of the wireless sensing technology.