Dr. Xinxin Ouyang, National Key Laboratory on Blind Signal Processing, China
Dr. Xinxin Ouyang is a distinguished researcher specializing in signal processing and geolocation techniques. He earned his B.S. (2010), M.S. (2013), and Ph.D. (2017) degrees from the University of Electronic Science and Technology of China (UESTC). Dr. Ouyang has made significant contributions to the field of Time Difference of Arrival (TDOA) and Frequency Difference of Arrival (FDOA) estimation algorithms, particularly for frequency-hopping signals in challenging environments such as flat fading channels. His work has been published in prominent journals, including IET Signal Processing, IET Communications, and Electronics, and he has presented his findings at esteemed conferences like IEEE ChinaSIP. Dr. Ouyangโs research addresses cutting-edge challenges in coherent integration methods and their applications in geolocation and signal analysis, positioning him as a key contributor to advancements in modern signal processing.
Summary of Suitability for the Best Researcher Award
Dr. Xinxin Ouyang is a highly qualified researcher with a robust academic and professional background in signal processing, TDOA/FDOA estimation methods, and coherent integration techniques. Below are the key points supporting his suitability for the Best Researcher Award.
๐ Education
B.S. in Electronic Science and Technology, University of Electronic Science and Technology of China (2010)
M.S. in Electronic Science and Technology, University of Electronic Science and Technology of China (2013)
Ph.D. in Electronic Science and Technology, University of Electronic Science and Technology of China (2017)
๐ผ Work Experience
Specialized researcher in signal processing and geolocation techniques, with expertise in TDOA/FDOA estimation methods for frequency-hopping and frequency-shift keying signals.
Contributor to advancements in geolocation in flat fading channels and coherent integration for improved signal estimation techniques.
๐ Achievements and Contributions
Published 6 peer-reviewed articles in prestigious journals and conferences, including:
IET Signal Processing (2017)
Electronics (2022, 2023, 2025)
IET Communications (2020)
IEEE ChinaSIP (2015)
Developed innovative algorithms for geolocation and signal processing, significantly improving TDOA/FDOA estimation accuracy and reliability.
Contributed to the foundational understanding of the Cramer-Rao Bound for TDOA estimation in challenging environments.
๐ Awards and Honors
Recognized for excellence in research contributions in signal processing by leading academic organizations.
Honored for presenting groundbreaking findings at the IEEE ChinaSIP Conference (2015).
Publicationย Top Notes:
Multiple Signal TDOA/FDOA Joint Estimation with Coherent Integration
A Coherent Integrated TDOA Estimation Method for Target and Reference Signals
TDOA/FDOA estimation algorithm of frequency-hopping signals based on CAF coherent integration
A Phase Delay Estimation Algorithm of Frequency Hopping Signal Based on Chinese Reminder Theorem
A Novel Method for Unambiguous DFO Estimation of Radar Signals in LEO Dual-Satellite Geolocation System
Dr. Francesco Mercogliano, University of Naples Parthenope , Italy.
Dr. Francesco Mercogliano is a dedicated PhD student in Information and Communication Technology and Engineering at the University of Naples โParthenope,โ Italy. His research focuses on developing an integrated multiplatform electromagnetic sensing system for environmental characterization. With a Master’s degree in Geology and Applied Geology and a Bachelor’s degree in Geological Sciences, Francesco has demonstrated exceptional academic prowess, achieving cum laude honors. His internships with renowned institutes, including the National Research Council and the National Institute of Geophysics and Volcanology, have further honed his skills in satellite thermal imaging and geophysical data analysis.
PhD Student in Information and Communication Technology and Engineeringย (39th Cycle)
University of Naples โParthenope,โ Naples, Italy (2023 โ Present)
Research Focus: Development of an integrated multiplatform electromagnetic sensing system for environmental characterization.
Master’s Degree in Geology and Applied Geologyย (LM-74)
University of Naples โFederico II,โ Naples, Italy (2021 โ 2023)
Grade: 110/110 cum laude
Thesis: Analysis of Land Surface Temperature (LST) in the Campi Flegrei caldera.
Bachelor’s Degree in Geological Sciencesย (L-34)
University of Naples โFederico II,โ Naples, Italy (2018 โ 2021)
Grade: 110/110 cum laude
Thesis: Remote sensing application to detect Land Surface Temperature in volcanic regions.
Internships:
National Research Council (CNR) โ Institute for Electromagnetic Sensing of the Environment (IREA) (April 2023 โ June 2023)
Analyzed satellite thermal images for LST mapping.
National Institute of Geophysics and Volcanology (INGV) (May 2022 โ September 2022)
Processed GNSS-RTK data to monitor ground deformation.
CNR โ IREA (October 2019 โ January 2020)
Conducted geothermal monitoring using thermal remote sensors.
Suitability For The Award
Dr. Francesco Mercogliano is an exemplary candidate for the Best Researcher Award, currently pursuing a Ph.D. in Information and Communication Technology and Engineering at the University of Naples โParthenope.โ His research focuses on developing an integrated electromagnetic sensing system for environmental characterization, showcasing his commitment to innovation. With top honors in both his Masterโs and Bachelorโs degrees from the University of Naples โFederico II,โ and hands-on experience at the National Research Council and the National Institute of Geophysics and Volcanology, Francescoโs academic excellence and technical skills position him as a promising researcher in environmental science.
Professional Development
Francesco Mercogliano has actively pursued professional development through hands-on internships and research projects in prestigious organizations such as the National Research Council (CNR) and the National Institute of Geophysics and Volcanology (INGV). His work includes analyzing satellite thermal images for land surface temperature mapping and monitoring ground deformation using GNSS-RTK data. Proficient in MATLAB, Python, and remote sensing techniques, Francesco combines his technical skills with a strong foundation in geology to contribute meaningfully to environmental studies. His dedication to advancing knowledge in geosciences exemplifies his commitment to professional excellence and innovation.ย
Research Focus
Francesco Mercoglianoโs research focuses on developing integrated electromagnetic sensing systems for environmental characterization. His work emphasizes the use of advanced remote sensing technologies to analyze land surface temperature, particularly in volcanic regions like the Campi Flegrei caldera. By employing methods such as Independent Component Analysis (ICA), Francesco aims to identify thermal anomalies that can inform geological studies and risk assessment. His interdisciplinary approach combines principles of geology, remote sensing, and data analysis, contributing significantly to environmental monitoring and understanding of geological phenomena.ย
Awards and Honors
Research Internship Recognitionย at the National Research Council (CNR)ย
Outstanding Contribution Awardย at National Institute of Geophysics and Volcanology (INGV)ย
Publication Top Notes
Thermal Patterns at the Campi Flegrei Caldera Inferred from Satellite Data and Independent Component Analysisย (2024)ย
Remote detection of Thermal Anomalies at Campi Flegrei caldera via Independent Component Analysis (ICA)ย (2024)ย
Airborne Synthetic Aperture Radar and Electromagnetic Technologies of the Italian Earth Observation Platform ITINERISย ย (2024)ย
Multiparametric and Multiplatform Detection of Ongoing Unrest Processes in Active Resurgent Calderas: A Case Study of the Campi Flegrei Calderaย (2024)ย