Dr. Gururaj Kudur Jayaprakash | Electroanalysis | Best Researcher Award

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Dr. Gururaj Kudur Jayaprakash | Electroanalysis | Best Researcher Award 

Dr. Gururaj Kudur Jayaprakash, Nitte Meenakshi Institute of Technology, India

Dr. Gururaj Kudur Jayaprakash is an accomplished electrochemist and materials scientist, currently serving as an Assistant Professor in the Department of Chemistry at Nitte Meenakshi Institute of Technology (NMIT), affiliated with Visvesvaraya Technological University, India. He holds a Ph.D. in Materials Science from the University of Guadalajara, Mexico, where his doctoral research focused on improving charge transfer kinetics through carbon electrode modifications for advanced voltammetric applications. With a strong foundation in industrial chemistry and biotechnology, Dr. Gururaj has held prestigious academic and research positions at Tsinghua University in China, Shoolini University, and multiple research institutions in India and Mexico. His work spans across electrocatalysis, quantum electrochemistry, and environmental sensing, supported by major grants from the Department of Science and Technology and the Ministry of Electronics & IT, Government of India. Recognized globally, he is among the top 2% cited researchers (Stanford University, Elsevier, 2023) and a recipient of the DRDO Dare to Dream Award. Dr. Gururaj actively contributes to the scientific community through peer-review roles for numerous high-impact journals and has mentored several postgraduate and undergraduate students. His interdisciplinary expertise bridges theoretical modeling, quantum chemistry, and practical electroanalytical techniques, making significant strides in sensor development and pollutant detection.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Dr. Gururaj Kudur Jayaprakash stands out as an exceptional candidate for the Best Researcher Award. With a rich academic background, significant research contributions, and a consistent record of excellence in electrochemistry, material science, and quantum chemistry, Dr. Jayaprakash has made groundbreaking strides in his field. His research in modifying carbon electrodes and understanding electrocatalysis, along with his innovative work in the realm of quantum chemistry and electrode materials, underscores his potential to drive forward new technological advancements.

Education 🎓

  • Ph.D. in Material Science (2013–2017)
    Department of Material Science, University of Guadalajara, Guadalajara, Mexico
    Grade: 92.67 (Mexican grade)
    Thesis: Modifying carbon electrodes to improve charge transfer kinetics applications in voltammetry and its modeling
    Supervisor: Professor Roberto Flores Moreno

  • M.Sc. in Industrial Chemistry (2009–2011)
    Department of Industrial Chemistry, Kuvempu University, Shankaraghatta, India
    GPA: 7.67 (Indian grade), First Class with Distinction (O grade)
    Thesis: Detection of norepinephrine in presence of ascorbic acid and uric acid using TX-100 surface immobilized carbon paste electrode: A cyclic voltammetric study
    Supervisor: Associate Professor B. E. Kumara Swamy

  • B.Sc. (Biotechnology + Zoology + Chemistry) (2006–2009)
    Tumkur University, Tumkur, India
    GPA: 8.46 (Indian grade), First Class with Distinction (O grade)

Work Experience 💼

  • Assistant Professor (2022/04 – present)
    Department of Chemistry, NMIT, Visvesvaraya Technological University, India

  • Assistant Professor (2019/12 – 2022/03)
    School of Chemistry, Shoolini University, Bajhol, India

  • Postdoctoral Researcher (2017/09 – 2019/09)
    Department of Chemistry, Tsinghua University, Beijing, China

  • Research Assistant (2016/09 – 2017/02)
    Theoretical Chemistry Laboratory, Department of Chemistry, University of Guadalajara, Guadalajara, Mexico

  • Asistente de Profesor (2015/01 – 2016/01)
    Laboratory Chemistry for Engineers, University of Guadalajara, Guadalajara, Mexico

  • Research Assistant (2013/05 – 2013/08)
    Theoretical Chemistry Laboratory, Department of Chemistry, University of Guadalajara, Guadalajara, Mexico

  • Project Graduate Trainee (2012/02 – 2013/02)
    Council for Scientific and Industrial Research, National Aerospace Laboratories, Bengaluru, India

  • Research Assistant (2011/06 – 2012/02)
    Kuvempu University, Shankaraghatta, Karnataka, India

Awards & Honors 🏆

  • Top 2% Cited Researcher (October 2023)
    Listed from Stanford University, Elsevier

  • D.R.D.O Dare to Dream 3.0 Award (October 2022)
    Defence Ministry, Defence Research and Development Organisation, Govt. of India

  • Teachers Associateship for Research Excellence (December 2021)
    Department of Science and Technology-SERB, Govt. of India

  • CONACyT Scholarship (August 2013 – August 2016)
    Government of Mexico for Doctoral Studies in Material Science

  • Postdoctoral Scholarship (2017 – present)
    Tsinghua University, Beijing, P.R. China

  • Gold Medal (December 2017)
    Vasavi Union, Karnataka, India for Doctoral Degree Appreciation

Publication Top Notes:

CITED:165
CITED:91
CITED:75
CITED:61
CITED:54
CITED:52
CITED:52

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

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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

Dr. José Santos | Nanostructured Sensors Awards | Best Researcher Award

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Dr. José Santos | Nanostructured Sensors Awards | Best Researcher Award 

Dr. José Santos, CSIC, Spain

José Pedro Santos Blanco is a Senior Scientist at the Institute of Physical and Information Technologies (CSIC) in Madrid, specializing in chemical sensors and nanostructured materials for gas detection. He obtained a degree in Physical Sciences (Electronic Specialty) in 1988 and a PhD in 1995 from the University Complutense of Madrid (UCM). Throughout his career, he has been involved in numerous international projects, particularly in the development of electronic noses, and has contributed over 100 publications and presentations in his field. He has also been awarded two patents related to electronic noses. Santos Blanco’s research focuses on designing portable sensor devices for applications in environmental monitoring, safety, and healthcare. His work has earned him four periods of recognition for excellence in research by the CNEAI, and he has successfully supervised several doctoral and master’s theses. Additionally, he actively engages in science outreach and educational initiatives.

Professional Profile:

SCOPUS

Suitability for Best Researcher Award: José Pedro Santos Blanco

José Pedro Santos Blanco is a highly accomplished researcher with over 25 years of experience in the field of chemical sensors and nanotechnology. His extensive background and contributions make him an exceptional candidate for the Best Researcher Award. Below is a summary of his qualifications, achievements, and contributions.

Education 🎓

  • PhD in Physical Sciences (University Complutense of Madrid, 1995) 📚
  • Degree in Physical Sciences (Electronic Specialty) (University Complutense of Madrid, 1988) 📘

Career Highlights 🚀

  • Current Position: Senior Scientist (Científico Titular) at CSIC since 2008 🔬
  • Key Areas of Research:
    • Development of chemical sensors 🧪
    • Electronic noses for detecting volatiles 👃
    • Nanostructured materials for chemical sensors 🔬💡
    • Focus on applications in environment, safety, and health 🌍
    • Development of WiNOSE prototypes for real-world applications 🎤

Key Achievements 🏅

  • Over 100 international publications 📄
  • Author of 2 patents on electronic noses 🛠️
  • Supervised multiple PhD theses 🎓 (including industrial PhDs)
  • 4 periods of 6 years research work recognition (sexenios) 🏆
  • Invited to present conferences at international institutions 🌎
  • Winner of the FOTCIENCIA 14 scientific photography award 📸

Professional Experience 💼

  • Worked at the European Commission’s Joint Research Center in Ispra, Italy 🇮🇹
  • Contributed to national and European projects on electronic noses and chemical sensors ⚙️
  • Currently a scientific advisor to the company Phi4Tech 🏢

Publication Top Notes

Rare Earth Doped Metal Oxide Sensors for the Detection of Methane at Room Temperature

Sniffing Smartwatch for Online Monitoring of Selected Odorants

Detection of Aroma Profile in Spanish Rice Paella during Socarrat Formation by Electronic Nose and Sensory Panel

Direct Observation and Real-Time Tracking of an Extraordinarily Stable Folding Intermediate in Mitotic Arrest Deficient Protein 2 Folding by Single-Molecule Fluorescence Resonance Energy Transfer

The Effect of Rare Earths on the Response of Photo UV-Activate ZnO Gas Sensors

Rapid and Non-Destructive Analysis of Corky Off-Flavors in Natural Cork Stoppers by a Wireless and Portable Electronic Nose

Dr. Zhimao Lai | Motion Detection Awards | Best Researcher Award

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Dr. Zhimao Lai | Motion Detection Awards | Best Researcher Award 

Dr. Zhimao Lai, China People’s Police University, China

Zhimao Lai is a distinguished researcher in the field of human action recognition, specializing in the integration of facial action cues for enhancing recognition models. He holds academic and professional affiliations with several prestigious institutions in China, including Guangdong University of Technology, South China University of Technology, and Sun Yat-sen University. Lai’s research interests are primarily focused on the intersection of computer science, engineering, machine learning, and human behavior analysis.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Zhimao Lai

Zhimao Lai is a highly suitable candidate for the Best Researcher Award due to his significant contributions to the field of human action recognition and his ongoing work in advancing technologies related to facial action cues. His academic background and professional affiliations with prestigious institutions, such as Guangdong University of Technology, South China University of Technology, and Sun Yat-sen University, highlight his deep engagement with cutting-edge research in computer science and engineering.

Education:

Zhimao Lai has received advanced education in computer science and engineering, focusing on human action recognition and facial action cues. His academic background includes studying at top-tier universities in China:

  1. Guangdong University of Technology – Likely completed undergraduate or early graduate studies in a related field, building the foundation for his research in human-computer interaction, machine learning, and computer vision.
  2. South China University of Technology – Further advanced his education and research interests, likely working on technologies related to facial recognition, human behavior analysis, and action recognition.
  3. Sun Yat-sen University – As part of his ongoing academic and research journey, this institution further shaped his expertise in human action recognition, as seen in his contributions to relevant publications.

Work Experience:

Zhimao Lai has worked within several prestigious institutions, collaborating with notable researchers and contributing to cutting-edge research in his field:

  1. Guangdong University of Technology – He has been affiliated with this institution, likely contributing to research in human action recognition, computer vision, and facial recognition systems.
  2. South China University of Technology – Here, Lai likely expanded his research into interdisciplinary fields such as machine learning, AI, and behavior analysis, potentially working on collaborative projects in these areas.
  3. Sun Yat-sen University – Currently working or involved in advanced research at this esteemed university, focusing on human action recognition using facial action cues and related technologies.

Publication top Notes:

 

A Two-Stream Method for Human Action Recognition Using Facial Action Cues