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:

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 Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award

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Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award 

Assoc. Prof. Dr Ali Hassan Sodhro, Kristianstad University, SE-29188 Kristianstad, Sweden, Sweden

Ali Hassan Sodhro is an accomplished researcher with dual Swedish and Pakistani nationality, specializing in energy-efficient and battery-friendly algorithms for wireless body sensor networks, wireless sensor networks, physical layer authentication in IoT-5G, wearable devices, and smart healthcare applications. Currently a Senior Lecturer at Kristianstad University in Sweden, Ali has also served as a Postdoctoral Research Fellow in institutions across Sweden, France, and China, including Luleå University of Technology, Linköping University, and the University Lumiere Lyon 2. His research extends to cybersecurity, network security, cryptography, and domains such as AI, machine learning, and big data analytics. Holding a Ph.D. from the University of Chinese Academy of Sciences (UCAS), Ali has supervised numerous bachelor’s and master’s theses and co-supervised Ph.D. students, contributing substantially to both academic research and grant proposals. His teaching experience spans Swedish institutions like Mid Sweden University and Gothenburg University, alongside earlier academic roles at Sukkur IBA University in Pakistan. Ali is actively involved in conferences, workshop organization, and launching special journal issues, with his work published across multiple prestigious platforms.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Ali Hassan Sodhro is a distinguished researcher with significant contributions to the fields of energy-efficient algorithms for wireless sensor networks, smart healthcare applications, and IoT-driven technologies, particularly within the domain of body sensor networks and wearable devices. With a strong interdisciplinary focus that spans AI, IoT, and cloud computing, his work aligns with many of the emerging challenges in technology and healthcare, areas critical for modern innovations and societal impact.

🎓 Education:

  • Ph.D. in Computer Applications Technology (2016)
    University: Chinese Academy of Sciences, China 🇨🇳
    Thesis: Energy-efficient Communication in Wireless Body Sensor Networks
  • M.Engg in Communication Systems and Networks (2010)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Security Issue/Authentication and Simulation of LEAP in WSN
  • B.Engg in Telecommunication Engineering (2008)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Wireless Sensor Networks, Simulation of Ad-Hoc Routing Protocols

💼 Professional Experience:

  • Senior Lecturer at Kristianstad University, Sweden 🇸🇪 (2021–Present)
    Teaching, research, and supervision of student projects; actively engaged in scientific publishing and grant proposal writing.
  • Postdoctoral Fellow at Luleå University of Technology, Sweden 🇸🇪 (2020)
    Contributed to supervision, teaching, and coordination of special journal issues and conferences.
  • Assistant Professor at Sukkur IBA University, Pakistan 🇵🇰 (2016–2017)
    Supervised students, taught courses, and organized academic events.

🧠 Research Focus:

Ali Hassan Sodhro is a highly skilled researcher in Energy-efficient & Battery-friendly Algorithms ⚡ for Wireless Body Sensor Networks 💡, Wearable Devices ⌚, and IoT-5G 🔗. His expertise spans AI/ML 🤖, Cybersecurity 🔒, Network Security 🛡️, Big Data Analytics 📊, and Multimedia Transmission 🎥, with an emphasis on Smart Healthcare 🏥 and Physical Layer Authentication in IoT networks.

Publication top Notes:

Artificial intelligence-driven mechanism for edge computing-based industrial applications

CITED:326

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

CITED:297

Mobile edge computing based QoS optimization in medical healthcare applications

CITED:208

Towards an optimal resource management for IoT based Green and sustainable smart cities

CITED:197

Quality of service optimization in an IoT-driven intelligent transportation system

CITED:173

Prof. Anna Pyayt | Sensors Award | Best Researcher Award

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Prof. Anna Pyayt | Sensors Award | Best Researcher Award

Prof. Anna Pyayt, University of South Florida, United States

Anna Pyayt is an Associate Professor at the University of South Florida (USF), serving in the Department of Chemical, Biological, and Materials Engineering. She holds affiliated faculty positions in the Departments of Medical Engineering and Electrical Engineering, as well as the Material Science and Engineering Program at USF. Recognized as a senior member of the National Academy of Inventors, Dr. Pyayt has made significant contributions to the field of sensing applications, artificial intelligence, and mobile health technologies. She completed her dual Ph.D. in Electrical Engineering and Nanotechnology at the University of Washington. Dr. Pyayt’s research includes innovations in single-cell endoscopy, deep learning, and assistive technologies for the visually impaired. Her work has attracted substantial funding and numerous accolades, including significant grants from the National Science Foundation and the Department of Health, State of Florida. She has also been honored with multiple awards for her innovative contributions and has mentored students who have achieved significant recognition in their respective fields. Dr. Pyayt’s sabbatical at MagLab further underscores her commitment to advancing scientific research and education.

Professional Profile

Education

  • B.Sc. in Computer Science/Applied Mathematics with honors, ITMO University, Saint Petersburg, Russia, June 2001
  • M.Sc. in Computer Science/Applied Mathematics with honors, ITMO University, Saint Petersburg, Russia, June 2002
  • M.Sc. in Electrical Engineering, University of Washington, December 2005
  • Dual Ph.D. in Electrical Engineering and Nanotechnology, University of Washington, December 2009

Research Interests

  • Sensing
  • Artificial Intelligence
  • Knowledge Graphs
  • Mobile Health
  • Single Cell Endoscopy and Spectroscopy
  • Deep Learning
  • Software and Hardware Assistive Technologies for the Blind and Visually Impaired

Research Internships

  • Hewlett-Packard Labs, Summer 2007
    • Invented, designed, and fabricated two new sensors – an angle sensor and a Nano-photonic sensor (patented and published)
  • Microsoft Research, Summer 2006
    • Invented, designed, and fabricated a new display technology, Telescopic Pixel (patented and published in Nature Photonics)

Funding

  • Cancer SEARCH: $1,200,000, Department of Health, State of Florida, Co-PI
  • PFI-TT: $550,000, NSF, Co-PI
  • Georgia Tech Female Founders I-Corps: $5,000, PI
  • Interstellar Initiative: $30,000, Japan Agency for Medical Research and Development and the New York Academy of Sciences, Co-PI
  • USF COVID-19 Rapid Response grant: $25,000 + $5,000 match, PI
  • AWS Diagnostic Development Initiative: $50,000 from Amazon, Co-PI
  • 3D Visualizations for Material Science: $1,000, PI
  • Teaching Grant: $2,500, PI
  • Equipment Donation from Beckman Coulter Diagnostics: $100,000, PI
  • Industrial Support: $200,000, Co-PI
  • National Science Foundation: $420,000, Senior Personnel
  • National Science Foundation: $196,732, PI

Awards and Honors

  • President, Secretary, Executive Member of the USF Chapter of the National Academy of Inventors
  • Senior Member of the National Academy of Inventors
  • Featured in Advances in Engineering (2021)
  • Published in Sensors and Actuators B: Chemical (2019)
  • Elsevier coverage for MELISA paper (2018)
  • Invited to exhibit Hemolix technology at Cade Museum (2018)
  • Award from the ADVANCE Florida Network Women in STEM Scholars (2018)
  • Featured on Science Updates (2017)

Awards and Honors of Students

  • Numerous awards and recognitions for her students, including NIH MOSAIC K99/R00 Grant, best departmental paper awards, poster awards, travel scholarships, fellowships, and leadership awards.

Publications Notes:📄

Understanding Diffusion in a Single-Metal Organic Framework Crystal Used for Sensing Applications

Fully Digital Audio Haptic Maps for Individuals with Blindness

Leveraging Scalable Profiling to Learn and Visualize the Latest Trustworthy COVID-19 Medical Research Findings

Mobile ELISA with a Transparent Incubator

Simplifying Access to Large-scale Structured Datasets by Meta-Profiling with Scalable Training Set Enrichment

Visualizing and Querying Large-scale Structured Datasets by Learning Multi-layered 3D Meta-Profiles