Dr. Hao Cui | Remote sensing | Best Researcher Award

Dr. Hao Cui | Remote sensing | Best Researcher Award

Dr. Hao Cui, Wuhan University, China

Hao Cui is a postdoctoral researcher at the State Key Laboratory of Geospatial Information Science at Wuhan University, specializing in the intelligent interpretation of remote sensing imagery. Since July 2021, he has been working under the mentorship of Professor Li Deren, building on his previous academic experiences. Hao earned his Ph.D. in Photogrammetry and Remote Sensing from Wuhan University, where he studied under Professor Zhang Guo from September 2018 to July 2021. His academic journey also includes a master’s degree obtained through a joint training program at the China Academy of Surveying and Mapping, as well as studies in Cartography and Geographic Information Systems at Lanzhou Jiaotong University. He holds a bachelor’s degree in Measurement and Control Engineering from Datong University of Science and Technology. Hao has hosted several prestigious projects, including the National Natural Science Foundation of China Youth Project and the China Postdoctoral Innovation Talents Support Plan Project. He has made significant contributions to his field, authoring or co-authoring 13 published papers, with 10 featured in top-tier journals, including ISPRS and TGRS.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award: Hao Cui

Hao Cui is a highly qualified candidate for the Best Researcher Award, demonstrating exceptional expertise and a strong research background in remote sensing and image interpretation. His research direction focuses on the mechanisms and interpretation theory methods of remote sensing images applied in engineering, which aligns well with contemporary advancements in geospatial sciences.

🎓 Education

  • Postdoctoral Researcher
    State Key Laboratory of Geospatial Information Science, Wuhan University
    Intelligent Interpretation of Remote Sensing Imagery
    Advisor: Li Deren
    Duration: July 2021 – Present
  • Ph.D. Student
    State Key Laboratory of Geospatial Information Science, Wuhan University
    Photogrammetry and Remote Sensing
    Advisor: Zhang Guo
    Duration: September 2018 – July 2021
  • Master’s Joint Training
    China Academy of Surveying and Mapping
    Cartography and Geographic Information Systems
    Advisor: Zhang Li
    Duration: August 2016 – June 2018
  • Master’s Student
    School of Surveying and Geographic Information, Lanzhou Jiaotong University
    Cartography and Geographic Information Systems
    Advisor: Zhang Li
    Duration: September 2015 – July 2016
  • Bachelor’s Student
    Datong University of Science and Technology
    Measurement and Control Engineering
    Major: Surveying and Mapping Engineering
    Advisor: Han Liang
    Duration: September 2011 – July 2015

💼 Work Experience

  • Postdoctoral Researcher
    State Key Laboratory of Geospatial Information Science, Wuhan University
    Focus: Intelligent Interpretation of Remote Sensing Imagery
    Duration: July 2021 – Present

🏆 Awards and Honors

  • National Natural Science Foundation of China (Youth Project)
  • China Postdoctoral Innovation Talents Support Plan Project
  • China Postdoctoral Excellent Young Talents Project
  • China Association for Science and Technology Think Tank Young Talent Plan Project
  • East Asian Satellite Remote Sensing Application Key Laboratory of Natural Resources Ministry of China Fund Project

Publication Top Notes:

Rice recognition from Sentinel-1 SLC SAR data based on progressive feature screening and fusion

SparseFormer: A Credible Dual-CNN Expert Guided Transformer for Remote Sensing Image Segmentation with Sparse Point Annotation

Dr. Rafael Lemos Paes | Satellite Scanning Award | Best Researcher Award

Dr. Rafael Lemos Paes | Satellite Scanning Award | Best Researcher Award 

Dr. Rafael Lemos Paes, General Staff of Brazilian Air Force, Brazil

Rafael Paes is a seasoned expert in orbital remote sensing with a focus on Synthetic Aperture Radar (SAR) imagery, artificial intelligence, and decision support systems. Born in Brazil, he earned his Bachelor’s degree in Aeronautical Sciences from the Brazilian Air Force Academy in 2001. He later obtained his Master’s (2009) and Ph.D. (2015) degrees in Orbital Remote Sensing from the National Institute for Space Research (INPE). Paes has over 20 years of experience, having worked as a SAR remote sensing researcher at the Institute for Advanced Studies (IEAv) from 2007 to 2020, where he also led the C4ISR Division. His research primarily focuses on the automatic extraction of information from orbital remote sensing images, particularly SAR, utilizing techniques like automatic pattern recognition, artificial intelligence, and stochastic processes. He has made significant contributions in detecting, recognizing, and tracking non-natural targets such as vessels, oil spills, and debris, which are crucial for the Brazilian Air Force’s ISR activities, including search and rescue operations.

Professional Profile:

 

Suitability of Rafael Paes for the Best Researcher Award:

Rafael Paes is a seasoned researcher with a robust background in Orbital Remote Sensing, particularly in Synthetic Aperture Radar (SAR) imagery. His expertise spans automatic information extraction from SAR images, AI-based pattern recognition, and decision support systems. With a career dedicated to advancing remote sensing technologies, Rafael has contributed significantly to the field, particularly in applications related to detecting, recognizing, and monitoring non-natural targets, such as ships and oil spills, crucial for environmental monitoring and defense.

Education:

  1. Academia da Força Aérea (Pirassununga, SP, Brazil)
    • Degree: B.Sc. in Ciências Aeronáuticas (Aeronautical Sciences)
    • Duration: February 1998 – December 2001
  2. Instituto Nacional de Pesquisas Espaciais (INPE, São José dos Campos, SP, Brazil)
    • Degree: M.Sc. in Observação da Terra (Earth Observation)
    • Duration: February 2007 – August 2009
  3. Instituto Nacional de Pesquisas Espaciais (INPE, São José dos Campos, SP, Brazil)
    • Degree: Ph.D. in Observação da Terra (Earth Observation)
    • Duration: March 2011 – December 2015
  4. Fundação Getúlio Vargas (Rio de Janeiro, RJ, Brazil)
    • Qualification: MBA Executivo in Planejamento e Gestão Estratégica (Executive MBA in Planning and Strategic Management)
    • Duration: January 2020 – December 2020

Work Experience:

  1. 1º/7º Grupo de Aviação (Salvador, BA, Brazil)
    • Position: Esquadrão Operacional de Patrulha (IVR) – Operational Patrol Squadron
    • Duration: January 2003 – January 2007
  2. Instituto de Estudos Avançados (IEAv, São José dos Campos, SP, Brazil)
    • Position: Head of C4ISR Division (Comando, Controle, Comunicações, Computadores, Inteligência, Vigilância e Reconhecimento) and SAR Remote Sensing Researcher
    • Duration: February 2007 – December 2020
  3. Escola de Comando e Estado-Maior da Aeronáutica (Rio de Janeiro, RJ, Brazil)
    • Position: Oficial-aluno (Officer Student)
    • Duration: December 2020 – December 2021
  4. Estado-Maior da Aeronáutica (EMAER, Brasília, Brazil)
    • Position: Assessor
    • Duration: December 2021 – Present

Publication top Notes:

On the Capability of Hybrid-Polarity Features to Observe Metallic Targets at Sea

Hybrid-polarimetry architecture to observe metallic targets at sea

COSMO-SkyMed SAR data to observe small metallic objects from ocean crashed aircraft

Ship detection in the Brazilian coast using TerraSAR-X SAR images