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:

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.
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. Marietta Fodor, Hungarian University of Agriculture and Life Sciences, Hungary

Dr. Marietta Fodor is an esteemed associate professor at the Hungarian University of Agriculture and Life Sciences, within the Institute of Food Science and Technology. She holds a chemical engineering degree from the Budapest University of Technology (1982), a Doctor of Biological and Food Industry Technology degree (1993), a PhD in Food Science (2004), and a Habilitation (2012) from Corvinus University of Budapest. With a deep focus on non-destructive molecular spectroscopy methods, particularly Fourier transform near-infrared spectroscopy (FT-NIR), Dr. Fodor’s research involves multivariate regression models, pattern recognition, adulteration analysis, and the rapid quantification of nutritional parameters in food. Over the course of her career, she has authored more than 170 publications with around 500 references, earning an H-index of 12. Her expertise in chemometric data processing and food chemistry continues to contribute significantly to the advancement of food science and analytics.

Professional Profile:

Summary of Suitability for Best Researcher Award: Marietta Fodor

Marietta Fodor, an Associate Professor at the Hungarian University of Agriculture and Life Sciences, is highly suitable for the Best Researcher Award due to her exceptional academic background, research contributions, and professional achievements.

Education:

Chemical Engineer (1982)
Budapest University of Technology (BME), Faculty of Chemical Engineering, Department of Organic and Biological Chemistry

University Doctor of Biological and Food Industry Technology (1993)
Budapest University of Technology (BME), Faculty of Chemical Engineering

PhD in Food Science (2004)
Corvinus University of Budapest

Habilitation (2012)
Corvinus University of Budapest

Work Experience:

Associate Professor
Hungarian University of Agriculture and Life Sciences, Institute of Food Science and Technology, Faculty, Department of Food Chemistry and Analytics
(Current Position)
Marietta Fodor currently holds the position of Associate Professor, contributing to teaching and research in the field of food science, with a focus on non-destructive molecular spectroscopy methods, particularly Fourier transform near-infrared spectroscopy (FT-NIR).

Her academic career includes extensive research in chemometrics, pattern recognition, and rapid quantification of food parameters, alongside her significant contribution to the development of multivariate regression models and adulteration analysis in food science.

Publication top Notes:

The Role of Near-Infrared Spectroscopy in Food Quality Assurance: A Review of the Past Two Decades

Development of state-of-the-art correlative rapid methods for the non-destructive control of fruit products

Comparison of Multiple NIR Spectrometers for Detecting Low-Concentration Nitrogen-Based Adulteration in Protein Powders

Analysis of Polyphenol Patterns of Pleurotus ostreatus Cultivars by UHPLC-ESI-MS/MS; Application of FT-NIR and Chemometric Methods, Classification Options