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:

SCOPUS

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

Assoc. Prof. Dr. Eugénio Rocha ,University of Aveiro,Portugal

Eugénio Rocha graduated in Computer Science (Artificial Intelligence) from the University of Coimbra in 1994 and earned his Master’s (1998) and PhD (2004) in Mathematics (Nonlinear Control Theory) from the University of Aveiro. He has been an Associate Professor at the University of Aveiro’s Department of Mathematics since 2004. Rocha has served as a member of the Portuguese Mathematical Society Board of Directors and the European Mathematical Society’s Committee on Electronic Publishing. His research spans theoretical and applied mathematics, including Ordinary and Partial Differential Equations, Functional Analysis, and Nonlinear Control Theory, with applications in various fields such as biological systems and nanotechnology. Rocha has coordinated several national and international research projects and received notable awards, including the Portuguese Scientific and Technological Innovation Prize.

Professional Profile:

Scopus

Suitability for the Research for Best Researcher Award: Eugénio Alexandre Miguel Rocha

Eugénio Alexandre Miguel Rocha is a highly suitable candidate for the Research for Best Researcher Award. His exceptional academic qualifications, innovative research contributions, leadership roles, and significant awards reflect his outstanding impact in the field of mathematics and its applications. His broad expertise and contributions to both theoretical and applied aspects of mathematics, along with his active participation in impactful research projects, make him a distinguished candidate deserving of this recognition.

🎓Education:

Eugénio Rocha earned his Bachelor of Science in Computer Science with a focus on Artificial Intelligence from the University of Coimbra in 1994. He then pursued advanced studies at the University of Aveiro, where he completed his Master of Science in Mathematics, specializing in Nonlinear Control Theory, in 1998. Following this, he obtained his PhD in Mathematics, also in Nonlinear Control Theory, from the same institution in 2004.

🏢Work Experience:

Eugénio Rocha has been serving as an Associate Professor in the Department of Mathematics at the University of Aveiro since 2004. Prior to this role, he was an Assistant Professor at the same institution from January 2004 to February 2021. Additionally, he held a position as an Assistant Professor at Universidade de Aveiro from 2013 to 2019.

🏆Awards and Honors:

Eugénio Rocha was awarded the Portuguese Scientific and Technological Innovation Prize, Engo Jaime Filipe in 2019. Additionally, he received a Special Mention for the Innovation Prize in Information Technology and Communication from APDC/Siemens in 2006.

Publication Top Notes:

Title: Estimating Data Complexity and Drift Through a Multiscale Generalized Impurity Approach
Title: Adaptive Framework for Maintenance Scheduling Based on Dynamic Preventive Intervals and Remaining Useful Life Estimation
Title: Robust Mortality Prediction on a Recirculating Aquaculture System
Title: The Effect of Delay Techniques on a Lassa Fever Epidemic Model
Title: Advancements in Epidemiological Modeling: Bayesian Regularization Neural Networks for Smoke Dynamics