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

Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award

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Assoc Prof Dr Zhongxiang Liu | Applications of Sensors | Best Researcher Award 

 Assoc Prof Dr Zhongxiang Liu,Associate Researcher, Southeast University,China

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, Nanjing, China. He has a strong background in structural engineering, with substantial experience in academia and research. His international exposure includes postdoctoral research at Columbia University and a visiting scholarship at Virginia Tech in the USA. With multiple editorial roles and contributions to international journals, Liu has established himself as a distinguished researcher in structural health monitoring and smart city infrastructure. He has received prestigious awards for his contributions to civil and structural engineering and is dedicated to advancing resilient and sustainable engineering solutions.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Zhongxiang Liu is an Associate Professor at the School of Transportation, Southeast University, with a Ph.D. in Structural Engineering from Southeast University, China. He has a robust academic background, having completed postdoctoral research at Columbia University and held a visiting scholar position at Virginia Tech. His research expertise lies in structural health monitoring, resilient structures for smart cities, and dynamic analysis of offshore structures. Liu is recognized for his prolific contributions as a guest editor for multiple high-impact journals and has received several prestigious awards, including the Science and Technology Progress Award of China and the Gold Medal at the International Exhibition of Inventions of Geneva.

Education

Zhongxiang Liu earned his Ph.D. in Structural Engineering from Southeast University, Nanjing, China, in 2019. Prior to that, he completed his M.S. in Structural Engineering at the same institution in Chongqing, China, in 2015. He holds a B.S. in Civil Engineering from Chongqing University, Chongqing, China, awarded in 2012. His strong academic foundation has provided him with the necessary expertise to excel in structural health monitoring, offshore structure dynamics, and novel sensing technologies for smart cities.

Work Experience

Liu has been serving as an Associate Professor at Southeast University, Nanjing, China, since February 2021. Before this, he was a Postdoctoral Research Fellow at Columbia University, USA, from November 2019 to November 2020. He also gained valuable international experience as a Visiting Scholar at Virginia Tech, USA, from November 2016 to November 2017. His work in these roles has focused on structural health monitoring, dynamic analysis of offshore structures, and the application of resilient engineering technologies in urban infrastructure.

Skills

Zhongxiang Liu specializes in structural health monitoring, offshore structure analysis, and resilient urban infrastructure. His skills extend to advanced hydro- and aero-dynamic analysis, condition assessment of bridges, and novel sensing technologies for smart city applications. He has editorial and review expertise for high-impact journals, as well as experience in conducting performance evaluations of structural systems. His proficiency in combining these skills to address practical engineering challenges makes him a versatile researcher and educator in the field of civil engineering.

Awards and Honors

Liu has received numerous prestigious awards, including the First Prize in the Science and Technology Progress Award of Jiangsu, China (2022) and the Grand Prize from the China Highway and Transportation Society (2022). His research was recognized internationally, earning the Gold Award with congratulations from the Jury at the 48th International Exhibition of Inventions of Geneva in 2023. Liu was also honored with the Liu Huixian Earthquake Engineering Scholarship Award (2019), as well as several National Scholarships from the Ministry of Education of China during his doctoral and master’s studies.

Membership

Zhongxiang Liu is actively involved in the academic community, serving as a guest editor for multiple journals including Materials (MDPI), Applied Sciences (MDPI), and Modelling (MDPI). He is a Youth Editorial member for the International Journal of Structural Integrity and Journal of Disaster Prevention and Mitigation Engineering. In addition, he reviews for more than 20 international journals in the fields of structural engineering and performance evaluation, further establishing his expertise and influence in the field.

Teaching Experience

As an Associate Professor at Southeast University, Liu is involved in teaching and mentoring students in advanced structural engineering concepts. His international experience at prestigious institutions such as Columbia University and Virginia Tech enriches his teaching, allowing him to incorporate a global perspective into his lectures. He guides students in the fields of structural health monitoring, offshore structures, and smart city technologies, preparing the next generation of engineers to tackle modern infrastructure challenges with innovative solutions.

Research Focus

Liu’s research primarily focuses on structural health monitoring and the condition assessment of bridges, along with hydro- and aero-dynamic analysis of offshore structures. His work emphasizes resilient infrastructure solutions, particularly in the context of smart cities. By developing novel sensing technologies and resilient structural designs, Liu aims to enhance urban infrastructure’s longevity and safety. His research also explores the control and evaluation of dynamic responses in offshore structures, contributing to advancements in both civil engineering and sustainable urban development.

Publication top Notes:

 

Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

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Ms. Xinlu Bai | Sensing Awards | Best Researcher Award

Ms. Xinlu Bai, Changchun university, China

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, following an Engineering Degree from Zhengzhou University of Finance and Economics (2018-2022). Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His research includes the development of the GR-YOLO algorithm, which improves detection performance over existing methods like YOLOv8, with notable advancements in accuracy across various datasets. Xinlu’s work has been published in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. He has been recognized for his excellence in competitions, winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

Professional Profile:

Orcid

Suitability Summary for Best Researcher Award

Researcher: Xinlu Bai

Summary:

Xinlu Bai is a highly qualified candidate for the Best Researcher Award, distinguished by his innovative research and significant contributions to the field of computer science, particularly in pedestrian detection technology. Bai’s work demonstrates a clear commitment to advancing technology through rigorous research and practical applications.

🎓Education:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, which he has been enrolled in since 2023. He previously completed his Engineering Degree at Zhengzhou University of Finance and Economics, where he studied from 2018 to 2022. Xinlu has made significant contributions to the field of computer vision, particularly in dense pedestrian detection. His development of the GR-YOLO algorithm, which enhances detection performance compared to YOLOv8, has been recognized through publications in Sensors and has been guided by esteemed professors Deyou Chen and Nianfeng Li. His excellence has been acknowledged in various competitions, including winning the first prize in the Jilin Province Virtual Reality Competition, the second prize in the China Virtual Reality Competition (Data Visualization Track), and the third prize in the Jilin Province Ruikang Robot Competition.

🏆Awards:

Xinlu Bai is a dedicated researcher currently pursuing a Master’s degree in Computer Science at Changchun University, having previously completed his Engineering Degree at Zhengzhou University of Finance and Economics. His contributions to computer vision, particularly through the development of the GR-YOLO algorithm, have been published in Sensors and guided by Professors Deyou Chen and Nianfeng Li. Xinlu’s excellence in the field has been recognized with several prestigious awards: he won the First Prize in the Jilin Province Virtual Reality Competition, the Second Prize in the China Virtual Reality Competition (Data Visualization Track), and the Third Prize in the Jilin Province Ruikang Robot Competition.

Publication Top Notes:

Title: Dense Pedestrian Detection Based on GR-YOLO

 

 

 

Mr. Mohammad Abdolrazzaghi | Planar Sensors | Best Researcher Award

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Mr. Mohammad Abdolrazzaghi | Planar Sensors | Best Researcher Award 

Mr. Mohammad Abdolrazzaghi, University of Toronto, Canada

Mohammad Abdolrazzaghi is a distinguished Ph.D. candidate in the Department of Electrical and Computer Engineering at the University of Toronto, specializing in Electronics with a focus on integrated circuits and wireless power transfer for implantable devices. Born on February 20, 1991, he embarked on his academic journey with a B.Sc. in Electrical Engineering from Iran University of Science and Technology, where he explored split-ring resonator-based sensors. He furthered his expertise with an M.Sc. in Electromagnetics and Microwaves from the University of Alberta, during which he developed advanced planar microwave sensors. Since September 2020, Mohammad has been contributing significantly to research at the Meta-waves group and Intelligent Sensory Microsystems Laboratory at the University of Toronto. His work includes the development of phased-array systems for wireless power transmission and the design of compact antennas for biomedical applications. His notable industry experience includes leading electromagnetic research at Phased Advanced Sensors Corp., resulting in a provincial patent for oil quality monitoring sensors. Mohammad’s academic portfolio is highlighted by numerous publications in prestigious journals and conferences, reflecting his profound contributions to sensor technology and microwave engineering. His teaching experience at Humber College and the University of Toronto, where he has instructed courses on electronics and circuit analysis, underscores his commitment to education. Recognized with several awards, including the NSERC Postgraduate Scholarship and the John W. Senders Award, Mohammad’s research integrates cutting-edge technology with practical applications, significantly advancing the fields of wireless power transfer and microwave sensors.

Professional Profile:

SCOPUS

GOOGLE SCHOLAR

 

📚 Education and Experience:

Mohammad Abdolrazzaghi is a dedicated Ph.D. candidate in Electronics at the University of Toronto, specializing in integrated circuits and wireless power transfer, particularly for implantable devices. He holds an M.Sc. in Electromagnetics and Microwaves from the University of Alberta, where he made significant strides in developing advanced planar microwave sensors. His academic journey began with a B.Sc. in Electrical Engineering from Iran University of Science and Technology, where he explored split-ring resonator-based sensors.

🔬 Research and Achievements:

With extensive research experience, Mohammad has been a research assistant at the Meta-waves group and Intelligent Sensory Microsystems Laboratory at the University of Toronto since 2020. His innovative work includes developing phased-array systems for wireless power transmission and designing compact antennas for biomedical applications. His leadership in electromagnetic research at Phased Advanced Sensors Corp. resulted in a provincial patent for oil quality monitoring sensors.

📄 Publications and Teaching:

Mohammad’s prolific contributions to sensor technology and microwave engineering are reflected in numerous papers published in prestigious journals and conferences. His teaching experience spans multiple institutions, including Humber College and the University of Toronto, where he has instructed and assisted in courses related to electronics and circuit analysis. His academic excellence is further highlighted by awards such as the NSERC Postgraduate Scholarship and the John W. Senders Award for mentoring an imaginative design.

🌟 Research, Innovations, and Extensions:

In the field of sensors, Mohammad’s research has significantly advanced the development and application of microwave planar sensors, focusing on material characterization, gas/liquid sensing, and active sensors. His innovative techniques for non-contact glucose monitoring, utilizing microwave resonator-based platforms, have enhanced sensitivity and reliability. By integrating machine learning, he has improved the selectivity and accuracy of chemical and biomedical analyses. His work in microwave sensors extends to wireless communication, demonstrating potential in high-resolution sensing for industrial monitoring and environmental applications.

 

Publication top Notes:

Fascicle-Selective Ultrasound-Powered Bidirectional Wireless Peripheral Nerve Interface IC

In–human testing of a non-invasive continuous low–energy microwave glucose sensor with advanced machine learning capabilities

AI-Assisted Ultra-High-Sensitivity/Resolution Active-Coupled CSRR-Based Sensor with Embedded Selectivity

Artificially-Intelligent Fascicle-Selective Bidirectional Peripheral Nerve Interfaces

Fascicle-Selective Bidirectional Peripheral Nerve Interface IC with 173dB FOM Noise-Shaping SAR ADCs and 1.38pJ/b Frequency-Multiplying Current-Ripple Radio Transmitter

Techniques to Improve the Performance of Planar Microwave Sensors: A Review and Recent Developments

 

Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

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Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

Dr. Akito Higatani, Hanshin Expressway Co., Ltd., Japan

Akito Higatani is an accomplished professional in traffic engineering, currently serving as Assistant Manager in the Planning Department at Hanshin Expressway Co., Ltd. With a career spanning 18 years, he has made significant contributions to the field through his research and practical insights into traffic management and efficiency. Dr. Higatani’s academic journey began at Kyoto University, Japan, where he earned his Bachelor’s degree in Engineering from the Undergraduate School of Global Engineering, specializing in Transportation Engineering and Management. He continued his studies at Kyoto University, obtaining a Master’s degree in Urban Management, focusing on traffic efficiency in urban expressways. His doctoral studies also at Kyoto University culminated in a Doctor of Engineering degree, where his research focused on planning patrolling schedules in urban expressway networks considering traffic incidents and network performance fluctuations. Dr. Higatani has contributed extensively to the field through peer-reviewed papers and presentations at international conferences. His research, such as studying traffic volume fluctuations and travel time reliability measures in the Hanshin Expressway Network, has been instrumental in advancing understanding and strategies in traffic engineering.

 

Professional Profile:

SCOPUS

 

Education:

Akito Higatani pursued his academic journey at Kyoto University, Japan, specializing in Transportation Engineering and Management.

  • Bachelor of Engineering (Undergraduate School of Global Engineering, April 2000 – March 2004): Akito completed his undergraduate studies with a focus on Transportation Engineering and Management. His graduation thesis investigated traffic flow observation using image data.
  • Master of Engineering (Department of Urban Management, April 2004 – March 2006): Continuing his studies at Kyoto University, Akito delved deeper into urban traffic management, particularly focusing on traffic efficiency at merging sections of urban expressways using image data.
  • Doctor of Engineering (Department of Urban Management, April 2012 – March 2015): Akito pursued his doctoral studies, specializing in planning patrolling schedules within urban expressway networks. His dissertation focused on optimizing schedules considering traffic incidents and network performance fluctuations.

Work Experience:

Akito Higatani has accumulated extensive experience in traffic engineering and management, primarily at Hanshin Expressway Co., Ltd.

  • Assistant Manager, Planning Department: Akito has been serving as an Assistant Manager since joining Hanshin Expressway in April 2006. His role involves strategic planning within the Planning Department, focusing on optimizing traffic flow and efficiency across the expressway network.

Academic Achievements:

Akito Higatani has contributed significantly to the field of traffic engineering through peer-reviewed publications and conference presentations:

 

Publication top Notes:

Assessing the Impacts of Autonomous Vehicles on Road Congestion Using Microsimulation

An investigation into the appropriateness of car-following models in assessing autonomous vehicles

Driving simulator experiment on speed reduction during earthquake on an urban expressway

A study of traffic volume fluctuation considering traffic incidents in hanshin expressway network

Slippage test of frictional high strength bolted joints with adhesives for corroded damaged steel members

 

Prof. Chavis Srichan | Surface sensors | Best Researcher Award

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Prof. Chavis Srichan | Surface sensors | Best Researcher Award

Prof. Chavis Srichan ,Faculty of Engineering, Khon Kaen University ,Thailand

Dr. Chavis Srichan has a diverse academic and professional background in computer engineering and microelectronics. He received his Bachelor’s degree with First Class Honors and as a Gold Medalist from Khon Kaen University in 2002. His pursuit of advanced studies took him to Technische Universitat Hamburg, Germany, where he earned his Master’s degree in Microelectronics and Microsystems with distinction in 2006. Following this, he completed his Doctor of Engineering in Microelectronics and Embedded Systems at the Asian Institute of Technology in 2018.Dr. Srichan’s career has been marked by significant contributions to research and academia. He has held various positions, including software developer roles at MRI Laboratory, Khon Kaen University, and SIEMENS AG Munich, Germany. His research interests span printed electronics, nanoelectronics, MEMS, and embedded systems, focusing on applications such as smart home care systems and sensor development for medical diagnostics. He currently serves as a Lecturer in Computer Engineering at Khon Kaen University, where he contributes to the education of future engineers and researchers. Dr. Srichan’s work has been recognized with honors such as the Lucent Technology Scholarship, DAAD-SIEMENS scholarship, and grants from institutions like the US National Institute of Health (NIH) and Japan NICT through the ASEAN IVO Project for sensor development.

Professional Profile:

Education/Training:
  • Bachelor’s Degree (First Class Honors, Gold Medalist)
    • Institution: Khon Kaen University, Khon Kaen, Thailand
    • Completion Date: 06/2002
    • Field of Study: Computer Engineering
  • Master of Science (with Distinction)
    • Institution: Technische Universitat Hamburg, Germany
    • Completion Date: 06/2006
    • Field of Study: Microelectronics and Microsystems
  • Doctor of Engineering
    • Institution: Asian Institute of Technology
    • Completion Date: 08/2018
    • Field of Study: Microelectronics and Embedded Systems

Positions and Honors:

  • Current Position:
    • Lecturer, Computer Engineering, Khon Kaen University (since 2010)

 Experience and Training:

  • 2001: Software Developer, MRI Laboratory, Khon Kaen University, Thailand
  • 2002-2003: Teaching Assistant, Faculty of Engineering, Khon Kaen University
  • 2004: Software Developer, Taboo Search Heuristic Job Scheduling
  • 2005: Software Developer, Corporate Technology Production, SIEMENS AG Munich, Germany
  • 2008-2010: Researcher, Printed Electronics Project, Nanoelectronics and MEMS Lab, National Electronic and Computer Technology Center, Thailand

Computer Skills:

  • Python, Java, Visual C++, Labview, ANSYS, Matlab, Cadence, OpenGL, OpenCV, Tensorflow

Honors:

  • 2001-2002: Lucent Technology Scholarship
  • 2002: National Software Competition, National Electronic and Computer Technology Center, Thailand (Second Place: Facial Recognition System Using Multi-resolution Analysis and Artificial Neural Network)
  • 2004-2005: DAAD-SIEMENS Scholarship
  • 2019-2020: US National Institute of Health (NIH) Grant for Smart Home Care Connected Sensors and Mobile Application for Peritoneal Dialysis Patients
  • 2022-2024: Japan NICT funding through ASEAN IVO Project “Photonic and Electrochemical Sensors Development for Early CCA Detection”

Publication top Notes:

 

Highly-sensitive surface-enhanced Raman spectroscopy (SERS)-based chemical sensor using 3D graphene foam decorated with silver nanoparticles as SERS substrate

CITED : 108

Inkjet printing PEDOT: PSS using desktop inkjet printer

CITED : 57

Non-invasively accuracy enhanced blood glucose sensor using shallow dense neural networks with NIR monitoring and medical features

CITED : 26

Ultra-sensitive and label-free neutrophil gelatinase-associated lipocalin electrochemical sensor using gold nanoparticles decorated 3D Graphene foam towards acute kidney injury …

CITED : 21

Simple RC low pass filter circuit fabricated by unmodified desktop inkjet printer

CITED : 21

 

Best Wearable Sensing Technology

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Introduction Best Wearable Sensing Technology

Welcome to the prestigious ‘Best Wearable Sensing Technology‘ award, celebrating innovation and excellence in the field of wearable sensor technology. This award recognizes breakthroughs that have the potential to revolutionize how we monitor and interact with our environment and ourselves.

Award Eligibility:

The award is open to individuals and teams worldwide who have developed groundbreaking wearable sensing technology. There are no age limits, and both academic and industry professionals are eligible to apply. Qualifications should demonstrate a significant contribution to the field, such as patents, publications, or successful product launches.

Evaluation Criteria:

Submissions will be evaluated based on the following criteria:

  1. Innovation: Uniqueness and originality of the technology.
  2. Practicality: Feasibility and usability of the technology.
  3. Impact: Potential impact on society, healthcare, or other relevant fields.
Submission Requirements:

Applicants must submit a detailed description of their wearable sensing technology, including its design, functionality, and potential impact. Supporting documents, such as research papers, patents, or product prototypes, should also be included. Submissions will be evaluated based on innovation, practicality, and potential impact.

Recognition:

Winners will be announced on [Announcement Date] and will receive [Prize Details]. They will also have the opportunity to present their technology at [Event Details] and receive recognition in [Media Outlets].

Community Impact:

The ‘Best Wearable Sensing Technology‘ award aims to not only recognize technological innovation but also to encourage collaboration and knowledge sharing within the wearable sensor technology community.

Biography:

Include a brief biography highlighting your achievements and contributions to the field of wearable sensing technology.

Abstract and Supporting Files:

Submissions should include an abstract highlighting the key features and benefits of the technology. Supporting files such as videos, images, or technical documentation are encouraged.