Yanqing Xin | Mars Exploration | Best Researcher Award

Dr. Yanqing Xin | Mars Exploration | Best Researcher Award

Dr. Yanqing Xin, Shandong Unvisity, China

Dr. Yanqing Xin is a Senior Experimentalist and Master’s Supervisor at the Space Science and Technology Institute, Shandong University (Weihai Campus), specializing in Martian mineralogy and planetary exploration. With a Ph.D. in Geophysics and an extensive background in microelectronics, Dr. Xin leads innovative research on Martian mineral synthesis, in-situ data analysis, and the development of new technologies for space exploration. His work is highly regarded internationally, contributing to key Mars missions like Perseverance and Tianwen. His significant contributions have earned him recognition in top journals, advancing planetary science and deep-space exploration. 🚀🔬🌍

Publication Profile

Orcid

🎓 Education

Dr. Yanqing Xin completed his Ph.D. in Geophysics (expected Dec 2024) at Shandong University, specializing in Martian mineral characterization. Prior to this, he earned an M.Eng. in Microelectronics & Solid-State Electronics (Jun 2010) and a B.Eng. in Electronic Science & Technology (Jul 2007) from Shandong University and Harbin Institute of Technology, respectively. His interdisciplinary education combines planetary science, material engineering, and electronics, equipping him with the expertise to make significant advancements in space exploration, particularly focusing on spectroscopic analysis and the development of new technologies for Mars exploration. 📚🎓🔭

🛠 Experience

Dr. Yanqing Xin has extensive experience in planetary science, focusing on Martian mineralogy and exploration technology development. As a Senior Experimentalist at Shandong University, he leads innovative research on the spectral characterization of Martian minerals, with a focus on iron-manganese oxides and phyllosilicates. He has contributed to major Mars missions, including NASA’s Perseverance Rover and China’s Tianwen mission, analyzing in-situ data to study Martian mineral evolution. His expertise also extends to multimodal characterization technologies for deep-space exploration. Additionally, he has led several national-level research projects and collaborated on cross-disciplinary studies. 🌍🚀🔬

🏅 Awards and Honors

Dr. Yanqing Xin has received numerous accolades for his groundbreaking work in planetary science and space exploration. His article on manganese oxide spectroscopy was awarded Top Cited Article 2022–2023 in recognition of its significant impact on Mars exploration. Dr. Xin’s work has been featured in high-impact journals like the Journal of Geophysical Research: Planets and Remote Sensing. His leadership in national and international research projects, coupled with his technical innovations, has earned him recognition within the NSFC and Shandong University, reinforcing his reputation as a leader in planetary science. 🏅🏆🌟

🔬 Research Focus

Dr. Yanqing Xin’s research primarily focuses on the laboratory synthesis and spectral characterization of Martian minerals. His work investigates the formation and alteration of minerals on Mars, with a specific emphasis on iron-manganese oxides and phyllosilicates using XRD-Raman coupling techniques and electron probe microanalysis. He also conducts in-situ data analysis of Mars exploration missions, exploring aqueous alteration processes and mineral phase transitions. Additionally, Dr. Xin is advancing multimodal characterization technologies to enhance the payload design for deep-space exploration, optimizing mission success in planetary environments. 🌍🔬🪐

Publication Top Notes

  • Mineralogical Diversity in the Upper Fan Campaign at Jezero Crater, MarsJournal of Geophysical Research: Planets (2025-04) 📖 DOI: 10.1029/2024JE008750 🌍

  • Detection of Allophane by the Zhurong Rover Indicates Water-Limited Alteration at Utopia Planitia, MarsEarth and Planetary Science Letters (2024-08) 📖 DOI: 10.1016/j.epsl.2024.118769 🌌

  • Spectroscopy of Magnesium Sulfate Double Salts and Their Implications for Mars ExplorationRemote Sensing (2024-04-30) 📖 DOI: 10.3390/rs16091592 🌠

  • A Signal-Based Auto-Focusing Method Available for Raman Spectroscopy Acquisitions in Deep Space ExplorationRemote Sensing (2024-02-27) 📖 DOI: 10.3390/rs16050820 🚀

  • Enhancing the Temperature Coefficient of Resistance of Pt Thin Film Resistance-Temperature-Detector by Short-Time AnnealingCeramics International (2023-04) 📖 DOI: 10.1016/j.ceramint.2022.12.122 🔬

  • A Systematic Spectroscopic Study of Laboratory Synthesized Manganese Oxides Relevant to MarsJournal of Raman Spectroscopy (2022-03) 📖 DOI: 10.1002/jrs.6231 🌌

    • Cited by: 45+

  • Raman Spectroscopic and Geochemical Studies of Primary and Secondary Minerals in Martian Meteorite Northwest Africa 10720Journal of Raman Spectroscopy (2022-03) 📖 DOI: 10.1002/jrs.6254 🌙

    • Cited by: 20+

Robert Milewski | Earth and Planetary Sciences | Young Scientist Award

Robert Milewski | Earth and Planetary Sciences | Young Scientist Award

Dr Robert Milewski, Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Germany

Dr. Robert Milewski – Candidate for Best Researcher Award

Publication profile

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PhD in Remote Sensing (2020)

University of Potsdam, with a focus on methodological development in soil and sediment analysis via remote sensing, Dr. Milewski has since made significant contributions to the fields of soil degradation and land erosion.

Postdoctoral Scientist, GFZ Potsdam

From 2020, Dr. Milewski has been working on advanced optical and thermal remote sensing techniques. His work addresses critical environmental challenges like soil degradation and vegetation variability.

International Recognition

Dr. Milewski’s contributions to soil science and remote sensing have earned him recognition in the scientific community, particularly for his interdisciplinary approach to solving complex environmental issues. His work is highly regarded across Europe and beyond, making him a strong candidate for the Best Researcher Award.

Research Projects and Publications

Dr. Milewski has led and contributed to prominent EU projects such as the EU MRV4SOC (2023-2026) and NextSoils+ (2024-2026). His research includes the analysis of airborne hyperspectral data, with numerous high-impact publications in Remote Sensing, Applied and Environmental Soil Science, and CATENA.

Significant Research Projects

Dr. Milewski has played a pivotal role in major international projects, such as ESA Worldsoils and EU MRV4SOC, focusing on soil monitoring and carbon verification. His leadership in the NextSoils+ project demonstrates his capacity to contribute to long-term global initiatives in remote sensing and soil research.

Publications and Impact

Dr. Milewski has a robust publication record in high-impact journals like Remote Sensing and CATENA, with articles addressing soil degradation, crop productivity, and hyperspectral data application. His research outputs have broad implications for agricultural sustainability and climate change mitigation.

Selected Research

  • “Estimation of Water-infiltration Rate in Mediterranean Sandy Soils using Airborne Hyperspectral Sensors” (2023)
  • “Evaluation of Airborne HySpex and Spaceborne PRISMA Hyperspectral Data for Soil Organic Matter” (2023)

Conclusion

Dr. Milewski’s extensive work in hyperspectral remote sensing and environmental monitoring, combined with his leadership in EU-funded projects, makes him a strong candidate for the Best Researcher Award. His contributions have had a profound impact on soil science and ecosystem analysis.

Publication top notes

Estimation of water-infiltration rate in Mediterranean sandy soils using airborne hyperspectral sensors

Modelling mixed scenarios of canopy and soil spectral reflectance to improve SOC prediction

Evaluation of Airborne HySpex and Spaceborne PRISMA Hyperspectral Remote Sensing Data for Soil Organic Matter and Carbonates Estimation

A Spectral Transfer Function to Harmonize Existing Soil Spectral Libraries Generated by Different Protocols

Analyses of the Impact of Soil Conditions and Soil Degradation on Vegetation Vitality and Crop Productivity Based on Airborne Hyperspectral VNIR–SWIR–TIR Data in a Semi-Arid Rainfed Agricultural Area (Camarena, Central Spain)