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

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

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.

πŸŽ“ Education

  • Ph.D. Student (2021–Present)
    Hangzhou Institute of Advanced Study, UCAS, Hangzhou, China
    πŸ›°οΈ 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
    πŸ€– Major: Intelligent Science and Technology

🎀 Conferences

  • πŸ… Outstanding Ph.D. Presentation
    The 4th Future Space Science and Technology Conference, 2024, Hangzhou, China
  • πŸ–ΌοΈ 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

πŸ† Honors and Awards

  • πŸŽ–οΈ Outstanding Student and Excellent Student Cadre, First-Class Academic Scholarship, HIAS, 2024
  • πŸ… Outstanding Communist Youth League Member, Second-Class Scholarship, HIAS, 2023
  • 🌟 Outstanding Communist Youth League Cadre, Second-Class Scholarship, HIAS, 2022
  • πŸŽ“ Special First-Class Scholarship, Nanjing University of Science and Technology, 2018

πŸ”¬ 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.
  • πŸ“‘ 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

 

Prof. Choubani Karim | Capteurs intelligents Awards | Best Researcher Award

Prof. Choubani Karim | Capteurs intelligents Awards | Best Researcher Award

Prof. Choubani Karim, Imam Mohamed bin Saoud university, Saudi Arabia

Karim Choubani is an experienced Assistant Professor of Mechanical Engineering, currently teaching at Al Imam Mohammad Ibn Saud Islamic University in Saudi Arabia. He holds a Doctorate in Engineering from the University of Tunis Manar in collaboration with the Institute of Fluid Mechanics in Toulouse, France, as well as a Master’s degree and a Mechanical Engineering degree, with study experiences in France and Italy. His teaching career spans over two decades, with roles in Tunisia and Saudi Arabia, where he has taught various courses, including Dynamics, Vibration, Fluid Mechanics, and Thermodynamics. In addition to teaching, Dr. Choubani has actively contributed to research, particularly in heat and mass transfer, stratified flow instabilities, solar pond applications, and membrane desalination, and he integrates nanotechnology in energy conversion studies. His scholarly work is complemented by his extensive involvement in supervising over 40 undergraduate and graduate projects, co-supervising a doctoral thesis, and participating in scientific congresses in Tunisia and France. Dr. Choubani has also contributed to institutional activities, serving on scientific and quality committees and as a reviewer for theΒ Journal of Solar Energy. He has led training and maintenance efforts in desalination and fluid mechanics, with hands-on training experiences in Gabes, Tunisia, and Marseille, France. Fluent in Arabic, French, and English, Dr. Choubani brings a global perspective and a wealth of expertise in both academic and applied engineering settings.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award: Karim Choubani

Educational Background: Karim Choubani holds advanced qualifications, including a Doctorate in Engineering with research collaboration between Tunisian and French institutions, positioning him as a knowledgeable expert in fluid mechanics and thermal systems. This international academic foundation enhances his suitability for a Best Researcher Award.

Education πŸŽ“πŸ“˜

  • Doctorate in Fluid MechanicsΒ (2009) 🌊πŸ§ͺ
    Engineering School of Tunisia, University of Tunis Manar (Tunisia) & Institute of Fluid Mechanics of Toulouse (France)
  • Master’s Degree in Industrial Thermal SystemsΒ (2002) πŸ”₯
    Engineering School of Tunisia, University of Tunis Manar & University Institute of the Industrial Thermal Systems, Marseille (France)
  • Mechanical EngineeringΒ (2001) βš™οΈ
    Engineering School of Tunisia, University of Tunis Manar, Italy (University of Ancona & Sapienza University of Rome)

Academic & Professional Experience πŸ«πŸ”§

  • Assistant Professor, Mechanical EngineeringΒ (Sep 2022 – Present)
    Al Imam Mohammad Ibn Saud Islamic University, KSA πŸ‡ΈπŸ‡¦
    Courses taught: Dynamics and Vibration πŸ“πŸ’₯, Supervising undergraduate projects πŸ‘¨β€πŸŽ“πŸ‘©β€πŸŽ“
  • Assistant ProfessorΒ (Sep 2019 – Jun 2022)
    High Institute of Applied Sciences and Technology of Mahdia, Tunisia πŸ‡ΉπŸ‡³
    Courses: Statics, Dynamics, Thermodynamics, Fluid Mechanics, Vibration 🌑️🌊
  • Professional TrainerΒ (Aug 2013 – Aug 2019)
    Riyadh College of Technology, Saudi Arabia πŸ‡ΈπŸ‡¦
    Specialization: Mechanical Technology in Refrigeration and Cooling Systems ❄️
  • ResearcherΒ (2001 – 2017) πŸ§‘β€πŸ”¬
    National Engineering School of Tunisia & National School of Engineers of Gabes, Tunisia
    Research interests: Heat transfer, desalination, solar ponds, nanotechnology in energy conversion πŸ”‹πŸŒž

Research Interests & Focus Areas πŸ”¬πŸ’‘

  • Heat and mass transfer in stratified flows 🌑️
  • Solar pond applications for sustainable energy solutions β˜€οΈπŸŒŠ
  • Theoretical and experimental thermal desalination studies πŸ’§
  • Nanotechnology in energy conversion applications 🧬

Publication top Notes:

Experimental Investigation of a Phase-Change Material’s Stabilizing Role in a Pilot of Smart Salt-Gradient Solar Ponds

Numerical simulations for thermally developed double diffusion flow of nanoparticles due to elongated cylinder with multiple slip effects: Applications to energy storage system

Porous silicon layer decorated with PbS nanoparticles by SILAR method for enhanced photocatalytic degradation of amido black dye

Thermal analysis of AA7075-AA7072/methanol via Williamson hybrid nanofluid model past thin needle: Effects of Lorentz force and irregular heat rise/fall

Multicrystalline Silicon Passivation by Hydrogen and Oxygen-Rich Porous Silicon Layer for Photovoltaic Cells Applications

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

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