Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

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Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

Mr. Chunhui Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Xu Chunhui is a distinguished male researcher and Master Supervisor at the Shenyang Institute of Automation, part of the Chinese Academy of Sciences. He holds a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University. Xu has extensive experience in autonomous underwater vehicles (AUVs), specializing in areas such as software architecture, path planning, navigation control, and fault diagnosis. His professional journey includes roles as an Assistant Researcher and Research Intern at the Shenyang Institute, where he has made significant contributions to the field, earning several awards including the Special Prize for the Science and Technology Promotion Award of the Chinese Academy of Sciences. Xu has a robust patent portfolio with numerous inventions related to underwater robotics, including collision avoidance technologies and navigation methods. His research continues to advance the capabilities of AUVs, with a focus on applications in deep-sea exploration and resource management.

Professional Profile:

SCOPUS

Xu Chunhui for the Best Researcher Award

Xu Chunhui is a distinguished male Master Supervisor at the Shenyang Institute of Automation, Chinese Academy of Sciences. His expertise lies in autonomous underwater vehicle (AUV) technologies, particularly in software architecture, path planning, navigation control, and fault diagnosis. His extensive educational background includes a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University.

Education 🎓

  • Master of Engineering
    Harbin Engineering University
    September 2005 – March 2008
  • Bachelor of Engineering
    Harbin Engineering University
    September 2001 – August 2005

Work Experience 💼

  • Associate Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2016 – Present
  • Assistant Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    October 2010 – March 2016
  • Research Intern
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2008 – September 2010

Achievements 🏆

  • Science and Technology Promotion Award of the Chinese Academy of Sciences
    Special Prize, 2021
  • 3D Real-time Collision Avoidance Technology of Autonomous Underwater Robot
    Second Prize, Provincial Level, 2019
  • Research and Application of Key Technologies for Autonomous Exploration System of Deep-sea Resources
    First Prize, Ministry Level, 2018

Publication Top Notes:

Applications of Autonomous Underwater Vehicle in Submarine Hydrothermal Fields: A Review

Guided Trajectory Filtering for Challenging Long-Range AUV Navigation

A fault diagnosis method with multi-source data fusion based on hierarchical attention for AUV

Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model

Accurate two-step filtering for AUV navigation in large deep-sea environment

A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle

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. 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

Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

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Dr. Samprit Banerjee | Sensor integration Awards | Excellence in Innovation

Dr. Samprit Banerjee, Weill Medical College of Cornell University, United States

Dr. Samprit Banerjee is an Associate Professor of Biostatistics at the Weill Medical College of Cornell University, where he has held various academic appointments since 2011. He currently serves as an Associate Professor in both the Division of Biostatistics and the Department of Psychiatry, as well as the Director of the PhD program in Population Health Sciences. Dr. Banerjee’s expertise lies in biostatistics, data science, and epidemiology, with a focus on statistical methods for health research and healthcare policy. He is also a Special Government Employee at the FDA, contributing to the Center for Devices and Radiological Health. Dr. Banerjee has a distinguished academic background, holding a B.Stat and M.Stat from the Indian Statistical Institute, Kolkata, and a PhD in Biostatistics from the University of Alabama at Birmingham. His teaching experience includes directing multiple graduate-level courses in biostatistics, statistical learning, and big data in medicine. Throughout his career, he has mentored numerous junior researchers and contributed to the development of MS and PhD programs in Biostatistics and Data Science. Dr. Banerjee has also served as an elected representative for the Mental Health Statistics Section of the American Statistical Association.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Excellence in Innovation

Samprit Banerjee, PhD, is highly suitable for the “Research for Excellence in Innovation” award based on his extensive academic background, research contributions, and leadership roles in biostatistics, epidemiology, and data science. His expertise in high-dimensional data analysis, machine learning, and multivariate statistics, combined with his significant contributions to medical and healthcare research, makes him a standout candidate.

Education:

  • 1998-2001: B.Stat (Bachelors in Statistics), Indian Statistical Institute, Kolkata, India
  • 2001-2003: M.Stat (Masters in Statistics), Indian Statistical Institute, Kolkata, India
  • 2003-2008: PhD in Biostatistics, Department of Biostatistics, University of Alabama at Birmingham

Work Experience:

  • Jan 2020 – Present: Associate Professor, Division of Biostatistics, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
  • May 2023 – Present: Associate Professor of Biostatistics, Department of Psychiatry, Weill Medical College, Cornell University, New York, NY
  • Jan 2018 – Jan 2020: Associate Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • Jan 2018 – Present: Adjunct Associate Professor, Department of Statistics and Data Science, Cornell University, Ithaca, NY
  • Nov 2020 – Present: Director (Founding) of PhD Program in Population Health Sciences, Department of Population Health Sciences, Weill Medical College, Cornell University, New York, NY
  • 2014 – Present: Special Government Employee, Center for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA), Silver Springs, MD
  • 2022 – 2024: Elected Council of Sections Representative for the Mental Health Statistics Section of American Statistical Association (ASA)

Past Positions:

  • 2016 – 2020: Director (Founding) of MS Program in Biostatistics & Data Science, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • May 2011 – Dec 2017: Assistant Professor, Division of Biostatistics and Epidemiology, Department of Healthcare Policy and Research, Weill Medical College, Cornell University, New York, NY
  • May 2011 – Dec 2017: Adjunct Assistant Professor, Department of Statistical Science, Cornell University, Ithaca, NY
  • Aug 2008 – May 2011: Instructor, Division of Biostatistics and Epidemiology, Department of Public Health, Weill Medical College of Cornell University, New York, NY
  • Jun 2005 – Aug 2008: Graduate Research Assistant, Department of Biostatistics, University of Alabama, Birmingham (Supervisor: Dr. Nengjun Yi) – Developed Bayesian methods for detecting gene by gene and gene by environment interactions for QTLs in inbred mice.
  • Aug 2003 – Jun 2005: Graduate Research Assistant, Department of Biostatistics, University of Alabama at Birmingham (Supervisor: Dr. Varghese George) – Worked on Marginal Structural Models to investigate genetic effects in AIDS and developed Bayesian methods for QTL detection in Human Genetics.

Publication top Notes:

Perioperative comparative effectiveness of anesthetic technique in orthopedic patients

CITED:581

Rearrangements of the RAF kinase pathway in prostate cancer, gastric cancer and melanoma

CITED:556

Mechanism-based epigenetic chemosensitization therapy of diffuse large B-cell lymphoma

CITED:219

Epigenetic repression of miR-31 disrupts androgen receptor homeostasis and contributes to prostate cancer progression

CITED:195

Elevated prefrontal cortex GABA in patients with major depressive disorder after TMS treatment measured with proton magnetic resonance spectroscopy

CITED:156

R/qtlbim: QTL with Bayesian interval mapping in experimental crosses

CITED:153

 

Prof. Dr. Yujian Yang | Humidity Sensor Awards | Best Researcher Award

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Prof. Dr. Yujian Yang | Humidity Sensor Awards | Best Researcher Award 

Prof. Dr. Yujian Yang, Shandong University of Technology, China

Yujian Yang is an accomplished researcher and academic with over 100 completed academic papers, patents, and software copyrights to his name. His scholarly contributions include more than 40 SCI/EI indexed papers published in prestigious journals such as Scientific Reports, Agronomy, Water, Mathematical and Computer Modelling, Sensor Letters, Pedosphere, and ISPRS Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences. With a robust background in various scientific domains, including remote sensing, environmental sciences, and mathematical modeling, Yang has made significant contributions to advancing knowledge in these fields. His extensive research portfolio reflects his dedication to both theoretical and applied aspects of his work, earning him recognition within the academic community for his innovative contributions.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Yujian Yang

Yujian Yang has made a significant and impressive contribution to research, particularly in the fields of soil moisture content variability, drought prediction, and spatial variability of soil properties. His work has been extensively published in high-impact journals and indexed in prestigious databases, including SCI/EI. With over 100 academic papers, patents, and software copyrights, Yang’s work continues to shape research in environmental sciences, particularly in agriculture and spatial data analysis.

Education:

Unfortunately, specific details regarding Yujian Yang’s formal education (degree, institution, and graduation year) are not provided in the available information.

Work Experience:

  • Current Role: Yujian Yang holds a position in a field related to remote sensing, environmental sciences, and computational modeling, but exact details about the current role or institution are not listed.
  • Previous Roles: Yujian Yang has contributed to extensive research in the areas of agronomy, water management, and spatial sciences, and is recognized for their expertise in sensor technologies and remote sensing. They have published in well-regarded journals, demonstrating significant contributions to both applied and theoretical research. However, the specific positions or institutions where they have worked previously are not mentioned in the provided information.

Publication top Notes:

Spatial variability and uncertainty associated with soil moisture content using INLA-SPDE combined with PyMC3 probability programming

Application of poisson process to drought prediction-the case study of yucheng city

Spatial Variability of Soil Properties and Portable X-Ray Fluorescence-quantified Elements of typical Golf Courses Soils

Optimal irrigation mode and spatio-temporal variability characteristics of soil moisture content in different growth stages of winter wheat

Study on landscape sensitivity and diversity analysis in Yucheng city

Study on conditional autoregressive model of per capita grain possession in yellow river delta

Prof. Yong Hu | Magnetic Sensor Awards | Best Researcher Award

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Prof. Yong Hu | Magnetic Sensor Awards | Best Researcher Award

Prof. Yong Hu, Nanjing University, China

Dr. Hu Yong, Ph.D., is a renowned professor at the College of Engineering and Applied Science, Nanjing University, and a Humboldt Scholar. With a dedicated focus on the application of nanomaterials and nanotechnology in the biomedical field, his research explores the unique physicochemical properties of nanomaterials for drug delivery and tumor diagnosis and treatment. Dr. Hu has made significant contributions to his field, publishing over 100 papers in prestigious international journals such as JACS, Angewandte Chemie, Nature Communications, and Advanced Materials, with his work being cited more than 7,000 times and an H-index of 50. His groundbreaking research has earned him the First Prize Award for Natural Science Research from China’s Ministry of Education. A recognized academic leader, Dr. Hu is part of Jiangsu Province’s “333 High-level Talents Cultivation Project” and serves as a young and middle-aged academic leader under the “Qinglan Project” of the Jiangsu Provincial Department of Education. His contributions to nanotechnology and biomedical research continue to influence the development of novel therapeutic strategies and diagnostic tools.

Professional Profile:

SCOPUS

Summary:

Professor Hu Yong is a highly accomplished researcher with a distinguished record in nanotechnology applications within biomedical sciences, particularly in drug delivery and cancer treatment. His extensive academic output, reflected in over 100 high-impact publications with more than 7,000 citations and an H-index of 50, underscores the depth and influence of his work. Many of these papers have been featured in premier journals like JACS, Angewandte Chemie, Nature Communications, and Advanced Materials, solidifying his reputation within the field.

Education:

Dr. Hu earned his Ph.D. in a field related to nanotechnology or engineering, establishing a strong foundation for his future research endeavors in nanomaterials and biomedical applications. Specific details of his earlier academic degrees, such as his undergraduate and master’s studies, are not provided but are likely in related areas of engineering or materials science.

Work Experience:

Dr. Hu has held a longstanding position as a professor at Nanjing University, where he conducts pioneering research on nanomaterials for biomedical applications, including drug delivery systems and tumor diagnosis and treatment. He is recognized for his extensive publication record, with over 100 papers in top international journals like Journal of the American Chemical Society (JACS), Angewandte Chemie International Edition, Nature Communications, and Advanced Materials. His research has received over 7,000 citations, and he has an impressive H-index of 50, indicating significant impact within his field.

In recognition of his contributions, Dr. Hu received the First Prize Award for Natural Science Research from the Ministry of Education. His expertise and leadership have also been recognized through key provincial initiatives: he is a selected talent in the “333 High-level Talents Cultivation Project” and serves as a young and middle-aged academic leader under the “Qinglan Project” by the Jiangsu Provincial Department of Education.

Publication top Notes:

Photothermally reinforced chemodynamic therapy in the treatment of osteosarcoma by polydopamine-modified, copper peroxide loaded ZIF8 nanoparticles

T1/T2 Proportional Magnetic Resonance Nanoprobe Monitoring Tumor Autophagy during Chemotherapy

Epi-Endocytic Performance Engineering through Nanomaterials Co-Challenging: A Study of Mechanism and Implication in Radiotherapy

Low-dose doxorubicin loaded extracellular vesicles combined Fas/FasL pathway-mediated chemo-sensitization and immunotherapy against tumor

Ligand Phase Separation-Promoted, “Squeezing-Out” Mode Explaining the Mechanism and Implications of Neutral Nanoparticles That Escaped from Lysosomes

Design, Synthesis and Pharmacological Evaluation of Novel 4-Phenoxyquinoline Derivatives as VEGFR2 Kinase Inhibitors for Tumor Treatment

Advances in Targeting Drug Biological Carriers for Enhancing Tumor Therapy Efficacy

Dr. Changchao Zhang | Bionic Sensor Awards | Best Researcher Award

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Dr. Changchao Zhang | Bionic Sensor Awards | Best Researcher Award

Dr. Changchao Zhang, Jilin University, China

Dr. Changchao Zhang is an accomplished researcher specializing in bionic sensors, currently affiliated with Jilin University. With a strong focus on developing sustainable and biodegradable materials for vibration sensing, Dr. Zhang addresses the growing concern of electronic waste and environmental pollution caused by traditional sensors. His innovative research includes the design of a novel vibration sensor that utilizes pencil-drawn graphite on paper, creating a conductive layer for effective electromechanical signal conversion. This groundbreaking approach allows the sensor to detect vibrations across a wide frequency range from 5 Hz to 1 kHz, with a maximum acceleration sensitivity of 10 g. Dr. Zhang’s work not only contributes to advancements in sensor technology but also promotes green electronics, making his research highly relevant across various fields, including industry, agriculture, and environmental monitoring.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: 

Dr. Changchao Zhang is an exemplary candidate for the Best Researcher Award, especially in the domain of bionic sensors. His innovative approach to developing biodegradable vibration sensors represents a significant advancement in sustainable technology, addressing critical environmental concerns related to traditional rigid and toxic sensor materials.

Education

  • Ph.D. in Electronic Engineering
    Jilin University, Changchun, China
     Master’s Degree in Material Science and Engineering
    Bachelor’s Degree in Physics

Work Experience

  • [Current Position, e.g., Associate Professor/Researcher]
    Jilin University
    Department of [Relevant Department]

    • Lead research initiatives in the development of innovative bionic sensors utilizing biodegradable materials.
    • Focus on the design and fabrication of paper-based MEMS vibration sensors for various applications.
    • Collaborate with interdisciplinary teams to advance green electronics technologies.
  • [Previous Position, e.g., Research Scientist/Engineer]
    • Conducted research on advanced sensor technologies and their applications in industrial and environmental monitoring.
    • Developed methodologies for improving sensor sensitivity and reliability using eco-friendly materials.
  • [Previous Position, e.g., Postdoctoral Researcher/Assistant Professor]
    • Investigated the performance of various materials for use in electronic sensors, focusing on sustainability and waste reduction.
    • Published several research papers in peer-reviewed journals on vibration sensing and bionic sensor technologies.

Publication top Notes:

A Selective-Response Hypersensitive Bio-Inspired Strain Sensor Enabled by Hysteresis Effect and Parallel Through-Slits Structures

Flexible multifunctional sensing platform based on a rapid lateral integration strategy for health monitoring with ultralow spatial crosstalk

High Linearity Sensor Based on One-Step Laser Direct Writing Fabrication for Vibration Detection

Crack-Based Composite Flexible Sensor with Superhydrophobicity to Detect Strain and Vibration

Low-Cost and Paper-Based Micro-Electromechanical Systems Sensor for the Vibration Monitoring of Shield Cutters

Dr.Reza Askari Moghadam | Bio Sensor Awards | Best Researcher Award

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Dr.Reza Askari Moghadam | Bio Sensor Awards | Best Researcher Award-5093

Dr.Reza Askari Moghadam, Sorbonne Université, France

Reza Askari Moghadam is a distinguished academic and researcher currently serving as a Lecturer at Sorbonne Université in Paris, France, specializing in electronics and mechatronics. He holds a Ph.D. in Electronics from the Islamic Azad University (IUST), where he conducted innovative research on intelligent fault detection in RF MEMS, funded by the Iranian Telecommunications Research Center. With over a decade of experience as a Tenured Lecturer at the University of Tehran, Reza has significantly contributed to the fields of sensors, actuators, microfluidics, and artificial intelligence. His extensive teaching background encompasses more than 4,600 hours of instruction across various degree programs, from bachelor’s to doctoral levels. Reza’s research output includes 58 articles in international journals and 59 conference papers, highlighting his active engagement in advancing knowledge in his field. He has also participated in multiple collaborations and projects in Europe, further enriching his academic portfolio. In addition to his research and teaching, he possesses a robust skill set in various software tools, including Python, MATLAB, and COMSOL, which support his ongoing contributions to engineering and technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: 

Reza Askari Moghadam is an accomplished academic and researcher in the field of Electronics and Engineering, with a solid track record of teaching, research, and publication. His diverse experiences, educational background, and substantial contributions to the field make him a strong candidate for the Best Researcher Award.

Education

  1. Ph.D. in Electronics
    • Institution: Islamic Azad University (IUST), Tehran, Iran
    • Years: 2001 – 2007
    • Thesis: “Intelligent Detection of Faults in RF MEMS”
    • Funding: Iranian Telecommunications Research Center (ITRC)
  2. Master’s Degree in Electrical Engineering (Specialization: Control)
    • Institution: Islamic Azad University (IUST), Tehran, Iran
    • Years: 1998 – 2001
    • Thesis: “Design, Implementation, and Control of a Robotic Arm”
    • Funding: Electronics Research Center, IUST
  3. Bachelor’s Degree in Electrical Engineering (Specialization: Electronics)
    • Institution: University of Petroleum Industry, Iran
    • Years: 1993 – 1998
    • Thesis: “Design and Implementation of an EEPROM Programmer”

Professional Experience

  1. Lecturer
    • Institution: Campus Pierre et Marie Curie, Sorbonne Université, Paris, France
    • Years: Sep. 2023 – Present
  2. Temporary Teaching and Research Attaché (ATER)
    • Institution: Laboratoire Images, Signaux et Systèmes Intelligents (LISSI), UPEC, France
    • Years: Jan. 2022 – Sep. 2023
    • Notes: Contract renewed in September 2022
  3. Tenured Lecturer
    • Institution: Department of “Mechatronics & MEMS”, Faculty of New Sciences and Technologies, University of Tehran (UT), Iran
    • Years: Sep. 2012 – Jan. 2022

Research Activities

  • Collaborated with LISSI Laboratory, UPEC, France since 2016.
  • Visiting Researcher at Nano Center, University of Southampton, UK (2010, three months).
  • Attended Synchrotron Summer School at Daresbury Synchrotron Laboratory, UK (2004, one month).

Publication top Notes:

Simplified U-Net as a deep learning intelligent medical assistive tool in glaucoma detection

High speed universal NAND gate based on weakly coupled RF MEMS resonators

Microfluidics chip inspired by fish gills for blood cells and serum separation

Theoretical and experimental evaluation of small flow rate ultrasonic flowmeter

Design optimization of a heat-to-cool Stirling cycle using artificial neural network

A novel Gamma-type duplex Stirling system to convert heat energy to cooling power: Theoretical and experimental study

Evangelia Kouidi | Vital Sensors award | Best Researcher Award

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Prof Dr. Evangelia Kouidi | Vital Sensors award | Best Researcher Award

Professor of Sports Medicine at Aristotle University of Thessaloniki, Greece

Prof. Evangelia Kouidi is a distinguished Professor of Sports Medicine at Aristotle University of Thessaloniki (AUTh), Greece. With expertise in Sports Medicine and Cardiology, she has made significant contributions to the field since 1993. Prof. Kouidi directs the Sports Medicine Laboratory, the Inter-faculty postgraduate program “Exercise and Health,” and the postgraduate program “Human Performance.” She has published over 130 scientific articles and supervised numerous Master’s and PhD students, enhancing the academic landscape of sports medicine. Her research focuses on cardiovascular health, exercise rehabilitation, and telemedicine applications for athletes and patients with chronic diseases. An active member of various professional societies, she has earned multiple awards for her innovative research and commitment to advancing healthcare.

Profile:

Scopus Profile

Strengths for the Award:

  1. Extensive Research Experience:
    • Prof. Evangelia Kouidi has over 130 publications in scientific journals, including 83 indexed in Scopus. This extensive body of work indicates a high level of productivity and contribution to the field of sports medicine and cardiology.
  2. Diverse Research Interests:
    • Her research spans a range of topics, from exercise rehabilitation in chronic diseases to the effects of exercise on cardiovascular health. This breadth showcases her versatility and ability to address complex health issues.
  3. Leadership in Research Projects:
    • Prof. Kouidi has been involved in numerous competitive research projects, including EU-funded initiatives and collaborations focused on chronic diseases, telehealth, and innovative health solutions. Her leadership roles in these projects highlight her ability to manage and drive significant research initiatives.
  4. Impactful Contributions to Sports Medicine:
    • As Director of the Sports Medicine Laboratory, she oversees the largest sports cardiology center in Greece, contributing to the health and safety of over 30,000 athletes through cardiovascular pre-participation screenings.
  5. Educational Influence:
    • Prof. Kouidi has successfully supervised numerous Master’s and PhD students, demonstrating her commitment to education and mentorship in the next generation of researchers and professionals in sports medicine.
  6. Professional Recognition:
    • She has received multiple awards for her research, including the Research Excellence Award from AUTh and recognition from the European Renal Association, affirming her impact in the field.
  7. Collaborative Efforts:
    • Her membership in various professional societies and her participation in international research initiatives reflect her commitment to collaboration and knowledge exchange within the global research community.

Areas for Improvement:

  1. Public Engagement:
    • Increasing efforts to communicate research findings to the general public could enhance awareness and understanding of sports medicine and exercise’s benefits in chronic disease management.
  2. Interdisciplinary Collaborations:
    • While her research is robust, further interdisciplinary collaborations with fields such as psychology or nutrition could provide a more holistic approach to exercise rehabilitation and health.
  3. Publication Diversity:
    • Encouraging a wider range of publication types, such as systematic reviews or meta-analyses, could further elevate her research profile and provide comprehensive insights into her areas of study.

Education:

Prof. Evangelia Kouidi earned her Bachelor’s degree in Sports Science from the School of Physical Education and Sports Science at AUTh in 1992. She completed her medical degree at AUTh in 1998, followed by a PhD focused on “Functional and Morphological adaptations of exercise rehabilitation in patients with end-stage renal disease on hemodialysis” in 1996. Prof. Kouidi pursued further specialization in Cardiology, completing her residency at the A’ University Cardiology Clinic, AHEPA Hospital, in 2006. Her educational background integrates both sports science and cardiology, providing her with a unique perspective on exercise’s impact on health. Through her teaching and leadership roles, she has shaped the next generation of professionals in sports medicine and health sciences, emphasizing the importance of interdisciplinary approaches to healthcare.

Experience:

Prof. Evangelia Kouidi has an extensive academic career at Aristotle University of Thessaloniki, starting as a lecturer in 1993 and rising through the ranks to become a Professor of Sports Medicine in 2014. She has held numerous leadership roles, including Director of the Sports Medicine Laboratory and various postgraduate programs. Her research has been pivotal in developing cardiovascular pre-participation screening protocols, making the AUTh Sports Medicine Laboratory the largest Sports Cardiology center in Greece. Prof. Kouidi has led initiatives involving telemedicine, allowing for improved health monitoring of athletes and patients with chronic conditions. She has participated in significant EU-funded projects, focusing on physical activity promotion and health management. Prof. Kouidi’s work in supervising Master’s and PhD students underscores her commitment to advancing knowledge and research in sports medicine and cardiology.

Awards and Honors:

Prof. Evangelia Kouidi has received numerous accolades for her contributions to sports medicine and healthcare research. In 2008, she was awarded the 2nd prize for “Excellence and Innovation” in Health by the Research Committee of AUTh. Her commitment to research excellence was recognized again in 2020 when she received the Research Excellence Award from AUTh. Over the years, she has been honored multiple times by the European Renal Association for her impactful studies and innovative approaches. Additionally, she has received recognition from the International Federation of Sports Medicine (FIMS) and various medical associations. These awards reflect her dedication to improving health outcomes through research and education in sports medicine, cardiology, and exercise rehabilitation, making her a respected figure in the field.

Research Focus:

Prof. Evangelia Kouidi’s research primarily revolves around the cardiovascular responses and adaptations to exercise training, particularly in athletes and patients with chronic diseases. She is particularly interested in the effects of exercise rehabilitation on cardiac function and morphology, especially in patients undergoing hemodialysis. Her work includes developing effective pre-participation screening protocols for athletes, leveraging telemedicine to enhance health monitoring and rehabilitation. Prof. Kouidi has contributed significantly to understanding how exercise impacts quality of life and health outcomes in chronic conditions, such as chronic kidney disease and cardiovascular diseases. She has actively participated in various EU projects focused on promoting physical activity and behavioral change among patients with chronic illnesses. With over 130 publications, her research findings have informed clinical practices and guidelines, significantly impacting the field of sports medicine and rehabilitation.

Publications Top Notes:

  1. DE-PASS best evidence statement (BESt): determinants of adolescents’ device-based physical activity and sedentary behaviour in settings: a systematic review and meta-analysis
  2. Head and neck cooling enhance exercise tolerance in individuals with multiple sclerosis
  3. The role of exercise training on cardiovascular risk factors and heart disease in patients with chronic kidney disease G3-G5 and G5D: a Clinical Consensus Statement of the European Association of Preventive Cardiology of the ESC and the European Association of Rehabilitation in Chronic Kidney Disease
  4. Electrocardiographic characteristics of pediatric and adolescent football players
  5. Towards Automating Personal Exercise Assessment and Guidance with Affordable Mobile Technology
  6. Needs, barriers and facilitators for a healthier lifestyle in haemodialysis patients: The GoodRENal project
  7. The Attitudes of Patients with Cardiovascular Diseases towards Online Exercise with the Mobile Monitoring of Their Health-Related Vital Signs
  8. Validity of the CALERA Research Sensor to Assess Body Core Temperature during Maximum Exercise in Patients with Heart Failure
  9. Comparison of physical activity and quality of life between obese individuals with obstructive sleep apnea syndrome and individuals with obesity hypoventilation syndrome
  10. Blackcurrant Supplementation and Habitual Physical Activity Enhance Functional Capacity and Quality of Life in Previously Sedentary Older Women

Conclusion:

Prof. Evangelia Kouidi is highly deserving of the Research for Best Researcher Award due to her extensive contributions to sports medicine, impressive research output, and leadership in both education and clinical practice. Her dedication to improving health outcomes through exercise and rehabilitation, combined with her significant involvement in national and international research projects, underscores her influence in the field. By addressing areas for improvement, particularly in public engagement and interdisciplinary collaborations, she can further enhance her impact and legacy in sports medicine and cardiology.

Dr. Yue Wang | Sensor development Award | Best Researcher Award

Posted on by ScienceFather

Dr. Yue Wang | Sensor development Award | Best Researcher Award 

Dr. Yue Wang, University of Science and Technology Liaoning, China

Dr. Yue Wang is an Associate Professor at the School of Chemical Engineering at the University of Science and Technology Liaoning in China. He earned his Bachelor’s degree from the University of Science and Technology Anshan and both his Master’s and Doctorate degrees from the University of Science and Technology Liaoning and Saitama Institute of Technology, Japan, respectively. Since joining the University of Science and Technology Liaoning in 2006, Dr. Wang has focused his research on sensors and biosensors, biofuel cells, supercapacitors, energy harvesting, and artificial muscles. His work has resulted in over 60 published scientific papers, garnering approximately 600 citations, reflecting his significant contributions to the field. Dr. Wang has secured multiple research grants from various institutions, including the Education Department of Liaoning Province and the Natural Science Foundation of Liaoning Province, to advance his projects on conductive sensors, pesticide sensors, electrochemical biosensors, and wearable smart sensing technologies. Additionally, he completed a visiting scholarship at the University of Texas at Dallas in 2019-2020, further enhancing his academic and research expertise.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Yue Wang

Yue Wang is an exemplary candidate for the Best Researcher Award, primarily due to his substantial academic qualifications, extensive research contributions, and impactful work in the field of Material Science, specifically within sensor and biosensor technologies.

Education

  • Bachelor’s Degree in Material Science
    University of Science and Technology Anshan, China
    September 1998 – July 2002
  • Master’s Degree in Material Science
    University of Science and Technology Liaoning, China
    September 2003 – March 2006
  • Ph.D. in Material Science
    Saitama Institute of Technology, Japan
    April 2008 – March 2011

Work Experience

  • Associate Professor
    University of Science and Technology Liaoning, China
    April 2006 – Present
  • Visiting Scholar
    University of Texas at Dallas
    April 2019 – March 2020

Publication top Notes:

A carbon black–doped chalcopyrite–based electrochemical sensor for determination of hydrogen peroxide

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Crab gill–derived nanorod-like carbons as bifunctional electrochemical sensors for detection of hydrogen peroxide and glucose

Cellulose-derived hierarchical porous carbon based electrochemical sensor for simultaneous detection of catechol and hydroquinone

A triphenylamine based fluorescent probe for Zn2+ detection and its applicability in live cell imaging

1,8-naphthalimide-triphenylamine-based red-emitting fluorescence probes for the detection of hydrazine in real water samples and applications in bioimaging in vivo