Dr. Francisco Javier Diez | Intelligent Sensors Awards | Best Researcher Award

Dr. Francisco Javier Diez | Intelligent Sensors Awards | Best Researcher Award

Dr. Francisco Javier Diez, University of Valladolid, Spain

Francisco Javier Diez is a post-doctorate researcher in the Department of Agricultural and Forestry Engineering at the University of Valladolid, Spain. He holds a Ph.D. in Agri-Food and Biosystems Science and Engineering, awarded with the prestigious “Cum Laude” distinction. Additionally, he obtained a Diploma in Advanced Studies in Intelligent Systems in Engineering from the University of León, where he received an award for his research on optimizing solar thermal systems. He is also an Industrial Engineer, trained at the University of León. Dr. Diez’s research focuses on the application of artificial neural networks for predicting and estimating environmental variables relevant to agricultural and urban settings. He has published several significant articles, including studies on predicting daily ambient temperatures and global solar irradiation in Castilla y León, Spain. His work has garnered attention, with a total of 127 citations on ResearchGate, and one of his recent publications has been provisionally selected for the “Best Researcher Award.” His contributions to the field include developing models for solar energy applications and enhancing our understanding of climate dynamics in urban agriculture. Through his research, Dr. Diez aims to advance sustainable practices in agriculture and renewable energy systems.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Francisco Javier Diez is a highly qualified and accomplished post-doctoral researcher in the Department of Agricultural and Forestry Engineering at the University of Valladolid, Spain. He holds a PhD in Agri-Food and Biosystems Science and Engineering with an Outstanding “Cum Laude” qualification, reflecting his expertise and commitment to advancing research in this field.

🎓 Education

  • Ph.D. in Agri-Food and Biosystems Science and Engineering
    • University of Valladolid
    • Graduated Cum Laude with an Outstanding qualification.
  • Diploma in Advanced Studies in Intelligent Systems in Engineering
    • University of León
    • Overall average grade: 2.7/3.0
    • Awarded for the research work “Optimization of Solar Thermal Systems” by the Chair of Renewable Energies.
  • Industrial Engineer
    • University of León

💼 Work Experience

  • Postdoctoral Researcher
    • Department of Agricultural and Forestry Engineering, University of Valladolid.
    • Specializes in solar energy optimization, climate data modeling, and neural network applications for agri-food and environmental systems.

🏆 Achievements, Awards and Honors

  • 🏅 Best Researcher Award (Provisional Selection) for the publication:
    “Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks” (Sensors, 2022).
  • 📈 Research with 127 citations on ResearchGate.
  • ✨ Awarded for the research project “Optimization of Solar Thermal Systems” by the Chair of Renewable Energies.
  • 📜 Author of several high-impact publications, including:
    • Solar Energy (Cited by 57)
    • Agronomy (Cited by 23, 19, and more).

Publication Top Notes:

Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and an Urban Park in Valladolid, Castilla y León, Spain

Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in Urban Allotment Gardens and in an Urban Park in Valladolid, Castilla y León, Spain.

Daily Estimation of Global Solar Irradiation and Temperatures Using Artificial Neural Networks through the Virtual Weather Station Concept in Castilla and León, Spain

Prediction of Daily Ambient Temperature and Its Hourly Estimation Using Artificial Neural Networks in an Agrometeorological Station in Castile and León, Spain

Photovoltaics and Electrification in Agriculture

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

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