Prof. Dr. Elsadig Musa Ahmed | Sensing Technology | Best Researcher Award

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Prof. Dr. Elsadig Musa Ahmed | Sensing Technology | Best Researcher Award 

Prof. Dr. Elsadig Musa Ahmed, Multimedia University, Malaysia

Dr. Elsadig Musa Ahmed Mohammed is a distinguished Professor of Economics and Technology Management at Multimedia University (MMU), Malaysia, recognized among the 2024 World’s Top 2% Scientists by Stanford University. With over two decades of academic experience, he has published extensively in the world’s top 1% and 10% journals, authored the book Green Productivity: Applications in Malaysia’s Manufacturing, and contributed more than 150 peer-reviewed articles indexed in Scopus and Web of Science. Dr. Ahmed’s expertise spans development economics, green productivity, digital and knowledge-based economies, bioeconomy, microfinance, and the interface of economic growth with environment and technology. He has successfully supervised over 30 postgraduate theses, received multiple international research grants—including from the Malaysian Government and the Islamic Development Bank—and served as a reviewer and editorial board member for high-impact journals. His accolades include the 2024 Econometric Best Researcher Award, 2023 Sustainability Pioneers Award (WASD), and Outstanding Reviewer in the Emerald Literati Awards (2021). Dr. Ahmed is also an active contributor to global academic networks and policy think tanks, notably as a member of the Council for Sudanese Experts and Scientists Abroad.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for the Best Researcher Award – Dr. Elsadig Musa Ahmed

Dr. Elsadig Musa Ahmed is highly suitable for the Research for Best Researcher Award based on a distinguished academic and professional track record that spans over two decades. His recognition as a member of the 2024 World’s Top 2% Scientists (Stanford List) and his publications in the Top 1% and Top 10% globally ranked journals demonstrate not only academic excellence but also a sustained global research impact.

🎓 Education

  • Ph.D. in Development Economics – Universiti Putra Malaysia, 2005
    Thesis: Impact of Air and Water Pollutant Emissions on Malaysia’s Manufacturing Sector Productivity Growth

  • M.Sc. in Development Economics – Universiti Putra Malaysia, 1998
    Thesis: Productivity and Performance of Malaysian Food Manufacturing Industry

  • B.Sc. in Agricultural Economics – Al-Azhar University, Cairo, Egypt, 1992

  • High School Certificate – Sudan

👨‍🏫 Work Experience (20+ years)

  • Professor, Multimedia University, Malaysia (2015–Present)
    Teaching postgraduate and undergraduate economics & business subjects. Supervising PhD, DBA, MPhil, MBA students.

  • Associate Professor, MMU (2010–2015)

  • Senior Lecturer, MMU (2008–2010)

  • Lecturer, MMU (2004–2008)

  • Research Assistant, Universiti Putra Malaysia (1998)

  • Storekeeper, Kenana Sugar Company, Sudan (1985–1988)

🏆 Achievements

  • Published in Top 1% and 10% international journals

  • Featured in 2024 Stanford University’s World’s Top 2% Scientists List

  • Authored 150+ international journal papers (Scopus, WoS)

  • Supervised 1 Postdoc, 14 PhDs, 4 DBAs, 3 Masters, 8 MBAs

  • Book author: Green Productivity: Applications in Malaysia’s Manufacturing (2012)

  • Reviewer/editor for top journals: Economic Modelling, Applied Economics, Emerald Publishing, etc.

  • Leader of national & international research initiatives, grant recipient, and consultant for global development and sustainability projects

🏅 Awards & Honors

  • 🥇 2024 Best Researcher Award – Young Scientist Awards

  • 🌱 2023 Sustainability Pioneers Award – World Association for Sustainable Development (WASD)

  • 🌍 Outstanding Presentation & Panelist – 2024

  • 📘 Outstanding Reviewer – Emerald Literati Awards, UK (2021)

  • 📄 Best Paper Award – XXth CEDIMS Conference, Laval University, Canada (2010)

  • 🎖️ Excellent Research Awards & Long Service Award – Multimedia University, Malaysia

Publication Top Notes:

A cyber physical sustainable smart city framework toward society 5.0: Explainable AI for enhanced SDGs monitoring

The Assessment of Sustainable Development Goals Through the Impact of Exploring Digital Technology Innovation and Climate Change Integration, Conflicts and Natural Disasters

Digitalization and Climate Change Spillover Effects on Saudi Digital Economy Sustainable Economic Growth

Palestinian small and medium enterprises digital technology adoption intention

Enhancing environmental quality and economic growth through potential effects of energy efficiency and renewable energy in Asian economies

Testing technological Kuznets curve implications on achieving sustainable development goal 10 in seven Asian countries

Globalization and financial development contributions toward economic growth in Sudan

Prof. Yinglin Wang | Gas Sensors | Best Researcher Award

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Prof. Yinglin Wang | Gas Sensors | Best Researcher Award 

Prof. Yinglin Wang, Xidian University, China

Dr. Yinglin Wang is an Associate Professor at the School of Aerospace Science and Technology, Xidian University, China, specializing in gas sensors and flexible electronic devices. He holds a Ph.D. in Microelectronics and Solid-State Electronics from Jilin University and earned both his Master’s and Bachelor’s degrees in Polymer Chemistry and Polymer Materials Science from Changchun University of Technology. With a strong research background in the synthesis and characterization of semiconductor and organic materials, Dr. Wang has contributed significantly to the development of high-performance gas sensors, particularly for detecting acetone, xylene, and n-butanol at low temperatures. He has authored numerous high-impact publications in top journals like Sensors and Actuators B and Chemical Engineering Journal. Dr. Wang has also been a visiting scholar at Germany’s Jülich Research Center and actively leads or participates in multiple national research projects funded by the NSFC, military commissions, and provincial science programs. Recognized for his excellence in research and mentoring, he has received national scholarships, outstanding graduate awards, and accolades as an innovation and entrepreneurship mentor.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for the Best Researcher Award:

Dr. Yinglin Wang, Associate Professor at the School of Aerospace Science and Technology, Xidian University, stands out as a highly suitable candidate for the Best Researcher Award in the field of gas sensors and flexible electronic devices. His rapid academic progression, impactful research contributions, and international recognition underscore his scientific excellence and innovation in material science and sensor technology.

🎓 Education

  • B.E. in Polymer Materials Science and Engineering
    Changchun University of Technology (2006–2010)

  • M.S. in Polymer Chemistry and Physics
    Changchun University of Technology (2011–2014)

  • Ph.D. in Microelectronics and Solid-State Electronics
    Jilin University (2014–2017)

🧪 Work Experience

  • 🧑‍🏫 Associate Professor — Xidian University, China (2020–Present)

  • 🇩🇪 Visiting Scholar — Jülich Research Center, Germany (2020)

  • 👨‍🏫 Lecturer — Xidian University, China (2019–2020)

  • 🔬 Postdoctoral Researcher — Xidian University (2017–2019)

  • 🎓 Doctoral Researcher — Jilin University (2014–2017)

🏆 Achievements & Projects

  • 🔬 Multiple first/co-author papers in Sensors and Actuators B: Chemical, Chemical Engineering Journal, ACS Applied Electronic Materials, and others.

  • ⚗️ Pioneered research in gas sensing, flexible electronics, and composite semiconductor materials.

  • 🧪 Skilled in materials synthesis, gas sensor fabrication, and advanced characterization (e.g., SEM, XRD, XPS).

  • 💻 Proficient in Origin, Photoshop, XPS analysis tools.

🥇 Awards & Honors

  • 🎓 National Scholarship for Doctoral Candidates (2016)

  • 🏅 Outstanding Graduate Award – Jilin University (2016, 2017)

  • 🧑‍🏫 Excellent Innovation & Entrepreneurship Mentor – Internet+ Competition (2023)

  • 💰 China Postdoctoral Science Foundation Grant (2017M623120)

  • 🌍 China Postdoctoral Exchange Programme (20190106)

  • 🧬 National Natural Science Foundation of China (61803289, 61573164)

  • 🛰️ JCJQ Military Science & Technology Project (2021-0699)

  • 🧭 Inner Mongolia Science & Tech Programme (2022YFHH0073)

  • 🧑‍💼 Shaanxi Province HR & Social Affairs Postdoc Programme (30102200017)

Publication Top Notes:

Etched Tungsten Oxide Modified with Au for Quick Xylene Detection

Efficient ppt-Level H2S Gas Sensor Based on YSZ and α-Fe2O3 Nanofoam Sensing Electrode

Editorial for the Applications and Challenges for Gas Sensors

Gas Sensor for Efficient Acetone Detection and Application Based on Au-Modified ZnO Porous Nanofoam

Yolk-shell microspheres perovskite Gd/Fe oxides with rich oxygen vacancies for ultra-sensitive properties in acetone detection

CO2-Philic Nanocomposite Polymer Matrix Incorporated with MXene Nanosheets for Ultraefficient CO2 Capture

Optimizing solvent dipole moment enables PVDF to improve piezoelectric performance

Mixed potential electrochemical NO2 sensor with YSZ ceramic electrolyte for monitoring in online vehicle diagnosis system

Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

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Prof. Dr. Daniela Dragoman | Plasmonic Sensor Awards | Best Researcher Award

Prof. Dr. Daniela Dragoman, University of Bucharest, Romania

Dr. Daniela Dragoman is a distinguished Romanian physicist and University Professor at the University of Bucharest, where she has been a faculty member since 1990 and a Doctoral Supervisor since 2004. With a Ph.D. in Physics from the University of Limerick, Ireland, and a Dipl. Physics Eng. degree from the University of Bucharest, her expertise spans guided wave optics, nanostructures, quantum computing, and optoelectronic devices. Dr. Dragoman has served as Director of the Doctoral School of Physics since 2011 and has held prestigious research positions in France and Germany, including as an Alexander von Humboldt Fellow and Directeur de Recherche at LAAS-CNRS. Her teaching portfolio covers both undergraduate and postgraduate levels, including courses in nonlinear optics, solar energy materials, and integrated optoelectronics. An accomplished researcher and mentor, she is recognized for her leadership in academic and international research environments.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

Summary of Suitability for Best Researcher Award – Prof. Daniela Dragoman

Prof. Daniela Dragoman stands out as a highly accomplished and deserving candidate for the Best Researcher Award due to her long-standing academic excellence, leadership in doctoral education, and influential research in the fields of optoelectronics, nanostructures, and quantum physics.

👩‍🏫 Work Experience

  • University Professor (Feb 2001–Present) – University of Bucharest, Romania

    • 🎓 Director, Doctoral School of Physics (since 2011)

    • 👩‍🔬 Doctoral Supervisor (since 2004)

    • 📚 MSc Courses: Quantum Computing, Nanostructures, Nonlinear Optics, Solar Energy Materials, etc.

    • 🧑‍🏫 BSc Courses: Solid State Physics (English)

  • Lecturer / Assistant Lecturer (Oct 1990–Jan 2001) – University of Bucharest

    • 📘 Courses: Advanced Optoelectronic Devices, Solid State Optoelectronics

  • Physics Engineer (Oct 1989–Sept 1990) – IRNE, Piteşti

    • 🔬 Research in pyroelectric devices

  • Visiting Professor & Researcher

    • 🇫🇷 CNRS, Saint-Etienne (1997, 2000) – Research in optics

    • 🇩🇪 Alex. von Humboldt Fellow, Univ. Mannheim (1998–1999, 2001–2002) – Optoelectronics

    • 🇫🇷 Directeur de Recherche, LAAS-CNRS, Toulouse (2008–2010) – Nanostructures

🎓 Education

  • Ph.D. in Physics (1993) – University of Limerick, Ireland 🇮🇪

    • 📡 Specialization: Guided wave optics, modeling of fiber couplers

  • Dipl. Physics Engineer (MSc Equivalent) (1989) – University of Bucharest, Romania 🇷🇴

    • 🌌 Focus: Semiconductors, optics, general physics

🏆 Achievements & Honors

  • 🎖 Alex. von Humboldt Fellowship – Prestigious research grant (Germany)

  • 🌍 International recognition in optoelectronics, nanostructures, and quantum physics

  • 🗣 Taught and collaborated in multinational research environments (France, Germany, Ireland)

  • 🧑‍🔬 Directed numerous Ph.D. students and research teams

  • 📘 Contributed significantly to advanced education and curriculum development in quantum and nano sciences

Publication Top Notes:

Field-effect transistors based on nickel oxide doped with nitrogen semiconductor ferroelectrics for ultralow voltage switch (1 μV), low subthreshold swing and memory

Electric-Field-Induced Metal-Insulator Transition for Low-Power and Ultrafast Nanoelectronics

Graphene Monolayer Nanomesh Structures and Their Applications in Electromagnetic Energy Harvesting for Solving the Matching Conundrum of Rectennas

Room-temperature current modulation by an Y junction in graphene/hexagonal boron nitride

Quantum Graphene Asymmetric Devices for Harvesting Electromagnetic Energy

Demonstration of Microwave Harvesting Through Pyroelectricity in Cryogenic Conditions: A Quantum-to-Experimental Approach

Subthreshold slope below 60 mV/decade in graphene transistors induced by channel geometry at the wafer-scale

On the Transmission Line Analogy for Modeling Plasmonic Nanowire Circuits

Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

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Assoc. Prof. Dr. Dinh Khoi Phan | Ultrasonic Sensor Awards | Best Researcher Award

Assoc. Prof. Dr. Dinh Khoi Phan, Can Tho University, Vietnam

Dr. Dinh Khoi Phan is an Associate Professor and Dean of the Faculty of Finance and Banking at Can Tho University, Viet Nam, where he has been actively contributing to academia since 2003. He holds a Ph.D. in Finance from Lincoln University, New Zealand (2013), a Master of Management from the University of the Philippines (2003), and a B.Sc. in Finance from Can Tho University (1999). His research spans rural finance, economic development, development finance, banking, behavioral finance, and cryptocurrency. Dr. Phan has led and participated in numerous government-funded research projects focused on agricultural policy, SME support, risk management in rice crop insurance, and smart city development in the Mekong River Delta. He is also the author and co-author of several books and book chapters addressing financial systems and socio-economic development in Vietnam. Through his leadership, academic work, and practical contributions, Dr. Phan has become a prominent figure in Vietnam’s financial research and policy landscape.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Dinh Khoi Phan

Dr. Dinh Khoi Phan is an accomplished scholar and academic leader whose research spans finance, rural development, and economic transformation in the Mekong River Delta. With a Ph.D. in Finance from Lincoln University, New Zealand, and over two decades of academic and policy-driven research experience, he exemplifies the qualities sought in a Best Researcher Award recipient.

🎓 Education

  • 📘 Ph.D. in Finance – Lincoln University, Canterbury, New Zealand (April 2013)

  • 📗 Master of Management – University of the Philippines, Los Baños (June 2003)

  • 📕 B.Sc. in Finance – Can Tho University, Viet Nam (September 1999)

👨‍🏫 Work Experience

  • 🧑‍🏫 Associate Professor & Dean, Faculty of Finance and Banking, Can Tho University (2020–present)

  • 📚 Lecturer, Department of Finance and Banking, Can Tho University (2012–present)

  • 📖 Lecturer, Department of Economics, Can Tho University (2005–2012)

  • 📖 Lecturer, Agricultural Economics, Can Tho University (2003–2005)

  • 🔬 Research Assistant & 👨‍🏫 Teaching Assistant, Commerce Division, Lincoln University (2011)

🏆 Achievements & Recognitions

  • 📖 Published Author of multiple Vietnamese books on finance and economics

  • 📘 Led and contributed to 9 major research projects focused on rural development, insurance, SMEs, and smart city planning in the Mekong Delta

  • 💼 Policy Influence through development strategies funded by national and provincial governments

  • 🌱 Specialized in microfinance, economic development, and agricultural risk management in Southeast Asia

Publication Top Notes:

Dirichlet Mixed Process Integrated Bayesian Estimation for Individual Securities

Predictors of Return on Assets and Return on Equity for Banking and Insurance Companies on Vietnam Stock Exchange

Asymmetries in responses of commercial banks in a transitional economy to countercyclical monetary policy: The case of Romania

The Transmission Mechanism of Russian Central Banks Countercyclical Monetary Policy since 2011: Evidence from the Interest Rate Pass-Through

The impact of microcredit on rural households in the Mekong River Delta of Vietnam

Formal and informal rural credit in the Mekong River Delta of Vietnam: Interaction and accessibility

 

Dr. Alexandr Volvkov | Oxidation Sensor | Best Researcher Award

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Dr. Alexandr Volvkov | Oxidation Sensor | Best Researcher Award 

Dr. Alexandr Volvkov, Institute of High Temperature Electrochemistry of the Ural Branch of the Russian Academy of Sciences, Russia

Dr. Alexander N. Volkov , in Luckenwalde, Germany) is a distinguished chemist specializing in gas sensor development. He earned his Ph.D. in Chemistry in 1980 from the Institute of High Temperature Electrochemistry of the Ural Scientific Center of the Academy of Sciences of the USSR. His research focuses on solid-electrolyte electrochemical gas sensors, gas diffusion studies, and analytical methods for measuring gas humidity. Over his career, he has held key positions at JSC SoyuzCMA (1974–1994), Atomnadzor (1994–2011), and currently serves at the Institute of High Temperature Electrochemistry of the Ural Branch of the Russian Academy of Sciences.

Professional Profile:

ORCID

SCOPUS

Suitability for the Best Researcher Award

Dr. Alexander N. Volkov is a seasoned researcher with extensive experience in the field of high-temperature electrochemistry, gas sensors, and electromagnetics. His research contributions span multiple decades, including original developments in gas sensing technologies, analytical methods, and antenna design.

🎓 Education:

  • Ural Polytechnic Institute named after S.M. Kirov (1969)
  • Postgraduate Training: Institute of High Temperature Electrochemistry, Ural Scientific Center, Academy of Sciences of USSR (1976-1979)
  • Ph.D. in Chemistry (1980) 🏅
    • Dissertation: Development of oxygen and chemical combustion sensors for ferrous and non-ferrous metallurgy

💼 Work Experience:

  • 1974 – 1994: JSC Soyuztsvetmetavtomatika (JSC SoyuzCMA) 🏭
  • 1994 – 2011: Federal State Unitary Enterprise «Atomnadzor» ⚛️
  • 2011 – Present: Institute of High Temperature Electrochemistry (IHTE UB RAS) 🔬

🏆 Achievements & Scientific Contributions:

  • Development of gas sensors based on solid-electrolyte electrochemical cells 🌡️
  • Research on gas diffusion and analytical methods for measuring gas humidity 💨
  • Innovative amperometric & potentiometric sensors for gases such as hydrogen, oxygen, carbon monoxide & dioxide, methane, and ammonia 🛠️
  • Designed original sensors to measure humidity in inert gases & air at high temperatures 🔥

🎖 Awards & Honors:

  • Recognized expert in solid-state electrochemical sensing 🏅
  • Contributor to advancements in high-temperature electrochemistry 🌍
  • Active researcher at IHTE UB RAS with significant contributions to industrial applications 🏭

Publication Top Notes:

Mechanically Reconfigurable Dielectric Resonator Antenna

A low‐profile dual‐band shared‐aperture antenna based on AMC with semitransparent elements

 

A FULL-WAVE SIMULATION OF ONBOARD EARTH SURVEILLANCE RADAR ELECTROMAGNETIC FIELDS FOR AN EMC ENSURING

 

WIDEBAND LOW-PROFILE DUAL-POLARIZED ANTENNA WITH AMC REFLECTOR

 

A low‐profile dual‐band shared‐aperture antenna based on artificial magnetic conductor with transparent elements

Mr. Zhibo Cui | Earth Monitoring | Best Researcher Award

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Mr. Zhibo Cui | Earth Monitoring | Best Researcher Award 

Mr. Zhibo Cui, Tarim University, China

Zhibo Cui is a dedicated researcher specializing in sensor technology and remote sensing applications. He obtained his Bachelor’s degree in Agricultural Resources and Environment from the College of Agriculture at Tarim University in 2023 and is currently pursuing a Master’s degree in Resource Utilization and Plant Protection at the same institution. His research focuses on the advanced utilization of Sentinel-1/2 radar and optical sensors for environmental monitoring, particularly in soil organic carbon mapping. He has made significant contributions to multi-source remote sensing data fusion and has successfully enhanced mapping accuracy using super-ensemble models. His work, published in Remote Sensing, demonstrates his expertise in sensor data processing and analysis. With a strong foundation in innovation and teamwork, Zhibo Cui continues to push the boundaries of remote sensing technology for agricultural and environmental advancements.

Professional Profile:

ORCID

Suitability for Best Researcher Award 

Based on the provided information, Zhibo Cui demonstrates a strong research background in sensor technology and remote sensing applications, particularly in the monitoring of soil organic carbon using Sentinel-1/2 radar and optical sensors. His work focuses on sensor data processing, multi-source remote sensing data fusion, and high-accuracy mapping, which are relevant and impactful areas of study.

📚 Education:

  • 🎓 Bachelor’s Degree (Sep 2019 – Jun 2023) – Agricultural Resources and Environment, College of Agriculture, Tarim University
  • 📖 Master’s Degree (Jun 2023 – Present) – Resource Utilization and Plant Protection, College of Agriculture, Tarim University

💼 Work Experience:

  • 🔬 Researcher in Sensors & Remote Sensing – Focused on sensor data characteristics and multi-source remote sensing data fusion
  • 🛰 Expert in Sentinel-1/2 Radar & Optical Sensors – Applied advanced sensor technologies for soil organic carbon monitoring

🏆 Achievements:

  • 📡 Advanced Research in Remote Sensing – Unveiled complex correlations between Sentinel-1/2 data and soil organic carbon
  • 🌍 High-Precision Soil Organic Carbon Mapping – Led a project integrating environmental covariates with a super-ensemble model
  • ✍ Published Research – “High-Accuracy Mapping of Soil Organic Carbon by Mining Sentinel-1/2 Radar and Optical Time-Series Data with Super Ensemble Model” in Remote Sensing journal

🎖 Awards & Honors:

  • 🏅 Best Researcher Award Contender – Strong expertise in sensors, remote sensing, and innovative data analysis

Publication Top Notes:

High-Accuracy Mapping of Soil Organic Carbon by Mining Sentinel-1/2 Radar and Optical Time-Series Data with Super Ensemble Model

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. 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

Ms. Feng Tang | Spectral Sensor Awards | Best Researcher Award

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Ms. Feng Tang | Spectral Sensor Awards | Best Researcher Award

Ms. Feng Tang, Xian Jiaotong University, China

Feng Tang, is a dedicated and detail-oriented graduate student at Xi’an Jiaotong University, specializing in Space Optics within the Physics department. He holds a Bachelor’s degree in Physics from China University of Geosciences (Wuhan), where he developed a strong foundation in optical and optoelectronic technologies. Currently pursuing his Master’s degree at Xi’an Jiaotong University, Feng is focusing on advanced topics in optical testing, imaging spectrometry, and remote sensing physics. His research includes projects on UAV-based hyperspectral remote sensing for pest and disease control in wolfberries, as well as the design and analysis of tunable waveplate polarization interferometric imaging spectrometers for spectral data capture in visible light ranges.

Professional Profile:

SCOPUS

Summary of Suitability for the Award

Feng Tang is a promising candidate for the “Best Researcher Award” due to his academic achievements, research experience, technical proficiency, and contributions to his community. His ongoing research in hyperspectral imaging for agricultural applications and imaging spectrometry places him at the intersection of applied and theoretical science, which aligns well with the award’s focus on impactful, innovative research. His publication record, early career awards, and dedication to science promotion further support his suitability as a candidate for this prestigious recognition.

Education:

  • Bachelor’s Degree in Physics
    China University of Geosciences (Wuhan)
    September 2017 – June 2021
    Key Courses: Optical Physics, Electrical and Electronics Technology, Electronic Testing Technology, Optoelectronic Technology, Optoelectronics Specialized Laboratory, Principles and Applications of Sensors, Applied Optics, Laser Principles, Information Optics, Physics Pedagogy
  • Master’s Degree in Physics (Specialization in Space Optics)
    Xi’an Jiaotong University
    September 2021 – Present
    Key Courses: Modern Optical Testing Techniques, Imaging Spectrometry and Remote Sensing Physics, Advanced Optics, Information Optics, Computational Physics, Advances in Material Physics and Chemistry, Advanced Quantum Mechanics

Work Experience:

  1. Research Project on Pest and Disease Control in Wolfberries Using UAV Hyperspectral Remote Sensing
    August 2023 – August 2024

    • Role: Collaborated in planning and conducting field experiments, collected on-ground spectral data using spectroradiometers and spectrometers, and performed UAV-based remote sensing data collection. Processed data in ENVI and Matlab for classifying pest and disease types and severity in wolfberries.
  2. Tunable Waveplate Polarization Interferometric Imaging Spectrometer
    October 2023 – Present

    • Role: Conducted research on compact imaging spectrometers, selected birefringent crystals, designed parameters for a compensator compatible with a 0.5-inch detector, and simulated mechanical error impacts to capture spectral data within the 450-780nm visible light range.

Publication top Notes:

Error analysis based on a tunable wave plate polarization interferometric imaging spectrometer

Goji Disease and Pest Monitoring Model Based on Unmanned Aerial Vehicle Hyperspectral Images

Underwater image enhancement via color correction and multi-feature image fusion

Imaging Characteristics of Disturbance Flow Field Surrounding a Hypersonic Target

Fusion-based restoration method for uneven illumination images in deep sea

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:

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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