Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award

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Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award 

Mr. Xueye Chen, ludong university, China

Chen Guorong is a Ph.D. professor and Master’s supervisor, currently serving as the Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence) at Chongqing University of Science and Technology. Recognized as a Chongqing Leading Talent in Technological Innovation and a Chongqing Academic and Technical Leader, he has made significant contributions to the fields of artificial intelligence and safety production informatization. He has held esteemed academic roles, including Vice Chair of the IEEE Geoscience and Remote Sensing Society (GRSS) Chongqing Chapter and General Chair of the IEEE International Conference on Industrial Cyber-Physical Systems and Intelligent Manufacturing (IICSPI) 2025. With a research portfolio encompassing over 20 provincial and ministerial-level projects, 40+ SCI-indexed publications, and 10 authorized patents, he has been honored with nine provincial/ministerial scientific awards. As a visiting scholar at the University of Ottawa, Canada, Chen has fostered international academic collaboration. His pioneering work in smart emergency response and safety production has driven industry-academia partnerships, influencing technological innovation and contributing significantly to global research and societal advancements.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award 

Dr. Chen Guorong is a highly accomplished researcher with a strong background in Artificial Intelligence and Safety Production Informatization. His extensive leadership roles, research achievements, and contributions to technological innovation make him an outstanding candidate for the Best Researcher Award.

🎓 Education & Work Experience

  • Ph.D., Professor, and Master’s Supervisor at Chongqing University of Science and Technology.

  • Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence).

  • Visiting Scholar at the University of Ottawa, Canada.

🏆 Awards & Honors

  • Chongqing Leading Talent in Technological Innovation.

  • Recognized as a Chongqing Academic and Technical Leader.

🔬 Research & Achievements

  • Research Interests: Artificial Intelligence & Safety Production Informatization.

  • Led 20+ provincial/ministerial-level research projects.

  • Published 40+ SCI-indexed papers.

  • Holds 10 authorized patents.

  • Recipient of 9 provincial/ministerial-level scientific awards.

  • Pioneered industry-academia collaboration in smart emergency response and safety production, contributing to global innovation.

🌍 Academic & Professional Engagements

  • Vice Chair of IEEE GRSS Chongqing Chapter.

  • Head of Technology & Informatization Group, Chongqing Emergency Management Expert Committee.

  • Vice Chairman of Chongqing Petroleum and Gas Society.

  • General Chair of IEEE IICSPI 2025.

Publication Top Notes:

Fabrication and energy collection of PDMS/dimethylsilicone oil superhydrophobic high tensile film

Porous Carbon Nanoparticle Composite Paper Fiber with Laser-Induced Graphene Surface Microstructure for Pressure Sensing

A pressure sensor made of laser-induced graphene@carbon ink in a waste sponge substrate using novel and simple fabricaing process for health monitoring

Numerical simulation and performance study of three-dimensional variable angle baffle micromixer

A novel dual-mode paper fiber sensor based on laser-induced graphene and porous salt-ion for monitoring humidity and pressure of human

Machine learning and genetic algorithm as tools for single and multi-objective shape optimization of micromixers with Cantor fractal structure

A novel micromixer based on coastal fractal for manufacturing controllable size liposome

Prof. Dr. Klaus Stefan Drese | Sensor Deployment Awards | Best Researcher Award

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Prof. Dr. Klaus Stefan Drese | Sensor Deployment Awards | Best Researcher Award 

Prof. Dr. Klaus Stefan Drese, Coburg University, Germany

Klaus Stefan Drese is a prominent researcher and academic leader in the field of sensor and actuator technology, currently heading the Institute of Sensor and Actuator Technology (ISAT) at the University of Applied Sciences Coburg since 2016. He also leads the research focus on “Sensors and Analytics” and is an active member of the “Analytics4Health” doctoral center. Dr. Drese studied physics at the Julius Maximilian University of Wuerzburg and the State University of New York at Stony Brook, where he developed a strong foundation in the field. He earned his Ph.D. in theoretical physics, focusing on time-dependent quantum mechanics at Phillips University in Marburg.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Klaus Stefan Drese

Klaus Stefan Drese is an exemplary candidate for the Best Researcher Award due to his extensive contributions and leadership in the field of sensor and actuator technology. As the head of the Institute of Sensor and Actuator Technology (ISAT) at the University of Applied Sciences Coburg since 2016, he has established a strong research focus on “Sensors and Analytics,” further contributing to the “Analytics4Health” doctoral center.

Education 🎓

  • Ph.D. in Theoretical Physics
    • Institution: Phillips University, Marburg
    • Focus Area: Time-dependent quantum mechanics
  • Physics Studies
    • Institutions:
      • Julius Maximilian University, Wuerzburg
      • State University of New York at Stony Brook

Work Experience 🏢

  • Head of the Institute of Sensor and Actuator Technology (ISAT)
    • Institution: University of Applied Sciences Coburg
    • Duration: Since 2016
  • Head of Research Focus “Sensors and Analytics”
    • Institution: University of Applied Sciences Coburg
  • Member of the “Analytics4Health” Doctoral Centre
    • Institution: University of Applied Sciences Coburg
  • Head of Fluidics and Simulation Department
    • Institution: IMM (Institute of Microtechnology Mainz)
    • Duration: Early 2004 to 2016
  • Scientific Director
    • Institution: IMM
    • Duration: 2004 to 2016
  • Simulation Group Member
    • Institution: IMM
    • Duration: Joined in 1998

Achievements ⭐

  • Research Topics:
    • Microfluidics
    • Sensors
    • Simulation
    • Surface Acoustic Wave
  • Applications:
    • Industrial sensors
    • Medical point-of-care testing

Awards and Honors 🏆

  • Award for Contributions to Sensor and Actuator Technology (specific award details not provided)
  • Recognition for Research in Microfluidics and Sensors (specific recognition details not provided)

Publication Top Notes:

Linear temporal instabilities and transient energy growth in rotating curved microchannel flow

Improved EMAT Sensor Design for Enhanced Ultrasonic Signal Detection in Steel Wire Ropes

Interplay of acoustophoresis and dielectrophoresis in a standing surface acoustic wave field: from spherical to non-spherical particles

Consistent Evaluation Methods for Microfluidic Mixers

Electromagnetohydrodynamic flow and thermal performance in a rotating rough surface microchannel

Dr. Lixing Zhao | Intelligent Sensing Awards | Best Researcher Award

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Dr. Lixing Zhao | Intelligent Sensing Awards | Best Researcher Award 

Dr. Lixing Zhao, Hangzhou Institute of Advanced Study, UCAS, China

Lixing Zhao is a Ph.D. student at the Hangzhou Institute of Advanced Study, University of Chinese Academy of Sciences (UCAS), specializing in the geometric positioning and measurement of optical remote sensing payloads and remote sensing image processing. He earned his Bachelor of Engineering degree in Intelligent Science and Technology from Nanjing University of Science and Technology in 2021. Lixing has made significant contributions to remote sensing and optical imaging, as evidenced by his multiple high-impact publications in journals such as Remote Sensing, Sensors, and IEEE Transactions on Geoscience and Remote Sensing. His research includes advanced methods for geometric calibration and ground control point extraction in thermal infrared remote sensing. He has presented his work at prestigious conferences, earning accolades like the Outstanding Ph.D. Presentation at the Future Space Science and Technology Conference (2024) and the Outstanding Poster Award at the National Symposium on Space Earth Science (2023). Among his honors are the First-Class Academic Scholarship from HIAS (2024) and numerous university-level awards for academic excellence and leadership. He has actively participated in major research projects, including the CAS Pioneer Project A and a National Natural Science Foundation of China Youth Fund Project, where he contributed to developing innovative imaging and calibration techniques for thermal infrared sensors.

Professional Profile:

ORCID

Suitability for the Best Researcher Award

Lixing Zhao demonstrates exceptional qualifications for the Best Researcher Award based on his academic achievements, publications, research experience, and contributions to his field. Here’s an analysis of his suitability.

🎓 Education

  • Ph.D. Student (2021–Present)
    Hangzhou Institute of Advanced Study, UCAS, Hangzhou, China
    🛰️ Focus: Geometric positioning and measurement of optical remote sensing payloads, remote sensing image processing.
  • Bachelor of Engineering (2017–2021)
    Nanjing University of Science and Technology, Nanjing, China
    🤖 Major: Intelligent Science and Technology

🎤 Conferences

  • 🏅 Outstanding Ph.D. Presentation
    The 4th Future Space Science and Technology Conference, 2024, Hangzhou, China
  • 🖼️ Outstanding Poster
    The 5th National Symposium on Space Earth Science, 2023, Suzhou, China
  • 🌟 Outstanding Student Presentation
    The 2nd Academic Seminar of the School of Optoelectronics, HIAS

🏆 Honors and Awards

  • 🎖️ Outstanding Student and Excellent Student Cadre, First-Class Academic Scholarship, HIAS, 2024
  • 🏅 Outstanding Communist Youth League Member, Second-Class Scholarship, HIAS, 2023
  • 🌟 Outstanding Communist Youth League Cadre, Second-Class Scholarship, HIAS, 2022
  • 🎓 Special First-Class Scholarship, Nanjing University of Science and Technology, 2018

🔬 Research Experiences

  • 🌍 CASEarth Small Satellite Thermal Imager (June 2018 – Present)
    Chinese Academy of Sciences, CAS Pioneer Project A

    • Focus: High-precision geometric calibration for thermal imager systems, laboratory and on-orbit imaging simulation technologies.
  • 📡 Key Issues in Geometric Positioning of Low Earth Orbit Payloads (Jan 2023 – Dec 2025)
    National Natural Science Foundation of China, Youth Fund Project

    • Focus: Ground control point extraction from on-orbit infrared images, large-scale feature extraction methods.

Publication Top Notes:

A Denoising Network Based on Frequency-Spectral- Spatial-Feature for Hyperspectral Image

In-Orbit Geometric Calibration for Long-Linear-Array and Wide-Swath Whisk-Broom TIS of SDGSAT-1

A CNN-Based Layer-Adaptive GCPs Extraction Method for TIR Remote Sensing Images

Thermal Discharge Temperature Retrieval and Monitoring of NPPs Based on SDGSAT-1 Images

Development and Core Technologies for Intelligent SWaP3 Infrared Cameras: A Comprehensive Review and Analysis