Dr. Mingxi Zhang | Remote Sensing | Best Researcher Award

Dr. Mingxi Zhang | Remote Sensing | Best Researcher Award

Doctorate at Curtin University, Australia

👨‍🎓 Profiles

Google Scholar

Publications

A warming climate will make Australian soil a net emitter of atmospheric CO2

  • Authors: RA Viscarra Rossel, M Zhang, T Behrens, R Webster
  • Journal: npj Climate and Atmospheric Science
  • Year: 2024

Mid-infrared spectroscopy determines the provenance of coastal marine soils and their organic and inorganic carbon content

  • Authors: Lewis Walden, Oscar Serrano, Zefang Shen, Mingxi Zhang, Paul Lavery, Zhongkui Luo, Lei Gao, Raphael A Viscarra Rossel
  • Journal: Science of The Total Environment
  • Year: 2024

Estimating nutrient transport associated with water and wind erosion across New South Wales, Australia

  • Authors: Xihua Yang, John Leys, Mingxi Zhang, Jonathan M Gray
  • Journal: Geoderma
  • Year: 2023

Monitoring of sustainable land management using remotely sensed vegetation cover and variable tolerable soil erosion targets across New South Wales, Australia

  • Authors: Jonathan M Gray, John F Leys, Xihua Yang, Mingxi Zhang
  • Journal: Soil Use and Management
  • Year: 2023

Deep transfer learning of global spectra for local soil carbon monitoring

  • Authors: Zefang Shen, Leonardo Ramirez-Lopez, Thorsten Behrens, Lei Cui, Mingxi Zhang, Lewis Walden, Johanna Wetterlind, Zhou Shi, Kenneth A Sudduth, Philipp Baumann, Yongze Song, Kevin Catambay, Raphael A Viscarra Rossel
  • Journal: ISPRS Journal of Photogrammetry and Remote Sensing
  • Year: 2022

Dr. Ali Hosingholizade | Remote Sensing | Best Researcher Award

Publications

Assessment of Pine Tree Crown Delineation Algorithms on UAV Data: From K-Means Clustering to CNN Segmentation

  • Authors: Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, Virginia Elena Garcia Millan, Miłosz Mielcarek, Saied Pirasteh, Krzysztof Stereńczak
  • Journal: Forests
  • Year: 2025

Integration of weighted majority voting in machine learning algorithms to enhance pine tree crown mapping on UAV imagery

  • Authors: Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, Saied Pirasteh, Virginia Garcia Millan
  • Journal: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • Year: 2024

Height estimation of pine (Pinus eldarica) single trees using slope corrected shadow length on unmanned aerial vehicle (UAV) imagery in a plantation forest

  • Authors: Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, Hooman Latifi, Yaser Jouybari-Moghaddam
  • Journal: Annals of Forest Research
  • Year: 2023

Tree Crown Delineation on Uav Imagery Using Combination of Machine Learning Algorithms with Majority Voting

  • Authors: A Hosingholizade, Y Erfanifard, SK Alavipanah, H Latifi, Y Jouybari-Moghaddam
  • Journal: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • Year: 2025

Investigation of linear and logarithmic regression between measured and calculated parameters of Eldarica pine tree

  • Authors: Ali Hosingholizade
  • Journal: Intercontinental Geoinformation Days
  • Year: 2023

Mr. Xiao Yang | Remote Sensing | Best Researcher Award

Mr. Xiao Yang | Remote Sensing | Best Researcher Award

Xiao Yang at Universiti Sains Malaysia, China

👨‍🎓 Profiles

Orcid

Publications

Gaussian-based R-CNN with large selective kernel for rotated object detection in remote sensing images

  • Authors: Xiao Yang, Ahmad Sufril Azlan Mohamed
  • Journal: Neurocomputing
  • Year: 2025

Mr. Harsh Narendra Vazirani | Remote Sensing | Best Researcher Award

Mr. Harsh Narendra Vazirani | Remote Sensing | Best Researcher Award

Harsh Narendra Vazirani at University of Sydney, Australia

👨‍🎓 Profiles

Scopus

Google Scholar

Publications

Highly Efficient JR Optimization Technique for Solving Prediction Problem of Soil Organic Carbon on Large Scale

  • Authors: Harsh Vazirani, Xiaofeng Wu, Anurag Srivastava, Debajyoti Dhar, Divyansh Pathak
  • Journal: Sensors
  • Year: 2024

New Model for Optimized Searching for Image Retrieval in Digital Libraries

  • Authors: PK Tripathy, Harsh Vazirani
  • Year: 2016

An Improvement Study Report of Face Detection Techniques using Adaboost and SVM

  • Authors: Rajeev Kumar Singh, Anubhav Sharma, Alka Gulati, Harsh Vazirani
  • Journal: International Journal of Computer Science and Information Security
  • Year: 2011

Offline handwriting recognition using genetic algorithm

  • Authors: Rahul Kala, Harsh Vazirani, Anupam Shukla, Ritu Tiwari
  • Journal: arXiv preprint arXiv:1004.3257
  • Year: 2010

Evolutionary Radial Basis Function Network for Classificatory Problems.

  • Authors: Rahul Kala, Harsh Vazirani, Nishant Khanwalkar, Mahua Bhattacharya
  • Journal: Int. J. Comput. Sci. Appl.
  • Year: 2010

Prof. Nourelislam Bachari | Remote Sensing | Academic Advancement Award

Prof. Nourelislam Bachari | Remote Sensing | Academic Advancement Award

Professor at University of Science and Technology of Houari Boumedien, Algeria

Profile

Orcid

Summary:

Prof. Bachir Nouri is a prominent figure in the field of marine science and remote sensing, serving as the Director of the Laboratory of Biological Oceanography and the Marine Environment (LOBEM) at the University of Science and Technology of Houari Boumedien (USTHB), Algiers, Algeria. With a distinguished career spanning over two decades, Dr. Nouri has made significant contributions to the study of marine environments and spatial oceanography.

Education

  • PhD in Radiation-Matter: Department of Physics, University of Science and Technology of Oran (USTO-MB), April 11, 1999.
  • Grade Professor: Appointed as University Professor on November 22, 2004.

🔬 Professional Experience

  • Remote Sensing Laboratory (L.A.A.R), U.S.T. Oran (2000-2010): Led research in remote sensing.
  • Spatial Oceanography Laboratory (L.O.B.E.M), U.S.T.H.B (2010-present): Focuses on spatial oceanography.
  • Laboratory Director, L.O.B.E.M (2022-present): Oversees research and operations at the laboratory.

🏆 Awards and Recognition

  • Russian Academy of Sciences (2018): Honored for outstanding scientific contributions.
  • Best Oral Communication and Best Poster Publication at a conference in Tunisia (2019).

💼 Project Management and Contributions

  • PNR Projects (2012): Development of a Solar Information System and Modeling of Multisource Data for studying small pelagics.
  • ONED CC 43 (2012-2014): System for managing and analyzing multisource data for monitoring soil-atmosphere interactions.
  • CNEPRU Projects: Various initiatives on fishery resources, climate variability, and the creation of geographic information systems for the Algerian coast.
  • Recent Projects: Development of a multi-application GIS for studying the marine environment and updated marine charts for the Algerian coast.

🛠️ Achievements

  • Marine Weather Station Development (Patent): 2023.
  • Algerian Coast Information System SIGLA: 2023.
  • Software Development for Satellite Image Processing (PCSATWIN)

 

Publications

Methodology for Monitoring Silting and the Coastline of Small Ports Using Sentinel-2 Images: The Case of Port Cap Djinet Algeria

  • Authors: Hocine Dahmani, Fouzia Houma Bachari, François Marin, Nourelislam Bachari
  • Journal: Remote Sensing
  • Year: 2024

Assist Prof Dr. Oktay Aksu | Remote Sensing | Best Researcher Award

Assist Prof Dr. Oktay Aksu | Remote Sensing | Best Researcher Award

Oktay Aksu at Istanbul Okan University, Turkey

Profiles

Scopus

Orcid

Academic Background

Assist Prof Dr. Oktay Aksu is a seasoned expert in Geodesy, Photogrammetry, and Remote Sensing, with extensive experience in both academia and industry. His career spans over four decades, including significant roles in international projects and academic institutions.

Education

Assist Prof Dr. Oktay Aksu holds a Bachelor’s degree in Mapping from MSB Harita Genel Komutanlığı Harita Yüksekokulu (1983), an MSc in Geodesy & Photogrammetry from Istanbul Technical University (1998), and a PhD in Geodesy & Photogrammetry from Istanbul Technical University (2002). His theses focused on aerial triangulation methods and spatial changes due to liquefaction and fault movements.

💼 Professional Experience

Assist Prof Dr. Aksu has served as an Assistant Professor at Okan University since 2014, following a role as a Lecturer there. His professional background includes roles as an Advisor and Project Manager for Pasco Corporation in Indonesia and Saudi Arabia, respectively. Additionally, he has held positions as a Lecturer at MSB Harita Yüksekokulu and as an Engineer Officer at the General Command of Mapping.

🔬 Research Interests

Assist Prof Dr. Aksu’s research interests include Photogrammetry, Remote Sensing, and Geographic Information Systems. His work emphasizes innovations in aerial triangulation and spatial analysis methods, and he has a significant track record in managing and contributing to large-scale mapping projects both domestically and internationally.

Publications

SHAP-Driven Explainable Artificial Intelligence Framework for Wildfire Susceptibility Mapping Using MODIS Active Fire Pixels: An In-Depth Interpretation of Contributing Factors in Izmir, Türkiye
  • Authors: Muzaffer Can Iban, Oktay Aksu
  • Journal: Remote Sensing
  • Year: 2024
İstanbul’da Kentsel Dönüşüm Proje Alanları İçin Rezerv Alan Tespiti
  • Authors: Ayşe Buse Ciliz, Oktay Aksu
  • Journal: Türkiye Arazi Yönetimi Dergisi
  • Year: 2023
Valuation Mapping of Rural Areas in Central Turkey: A Model Proposal Case Study
  • Authors: Oktay Aksu, Agne Karlikanovaite Balikci, Mustafa Kurt
  • Journal: Preprint
  • Year: 2023
A Model for Big Spatial Rural Data Infrastructure in Turkey: Sensor-Driven and Integrative Approach
  • Authors: Muzaffer Can Iban, Oktay Aksu
  • Journal: Land Use Policy
  • Year: 2020
Considerations on the Land Management System Approach in Turkey by the Experiences of a Case Study
  • Authors: Oktay Aksu, Muzaffer Can Iban
  • Journal: Survey Review
  • Year: 2019

Mr. Shuai Li | Remote Sensing | Best Researcher Award

Mr. Shuai Li, Remote Sensing, Best Researcher Award

Shuai Li at Chinese Academy of Forestry, China

Professional Profile

🌟 Summary:

Mr. Shuai Li is a Senior Engineer at the Experimental Center of Desert Forestry, Chinese Academy of Forestry, where he specializes in monitoring desert ecosystem dynamics, biodiversity change, and ecosystem health assessment. He is currently pursuing a PhD at the Chinese Academy of Forestry.

🎓 Education:

PhD in progress, Chinese Academy of Forestry

💼 Professional Experience:

Senior Engineer, Experimental Center of Desert Forestry, Chinese Academy of Forestry

🔬 Research Interests:

  • Desert Ecosystems
  • Biodiversity
  • Landscape Ecology

Professional Memberships:

Member of the Special Committee for Shrubs Afforestation in Arid Areas, Chinese Society of Sand Industry and Desertification Control

📖 Publications Top Noted:

Paper Title: Mapping Dryland Ecosystems Using Google Earth Engine and Random Forest: A Case Study of an Ecologically Critical Area in Northern China
  • Authors: Shuai Li, Pu Guo, Fei Sun, Jinlei Zhu, Xiaoming Cao, Xue Dong, Qi Lu
  • Journal: Land
  • Year: 2024
Paper Title: Variation in soil bacterial community characteristics inside and outside the West Ordos National Nature Reserve, northern China
  • Authors: Pu Guo, Shuai Li, Jinlei Zhu, Qi Lu
  • Journal: Frontiers in Microbiology
  • Year: 2024
Paper Title: Productivity and Species Diversity of Plant Communities Are Higher inside than outside the West Ordos National Nature Reserve, Northern China
  • Authors: Pu Guo, Qi Lu, Shuai Li
  • Journal: Plants
  • Year: 2024
Paper Title: Sr-Nd isotopic compositions of aeolian sand in the northern Ulan Buh Desert and Yamalik Desert: Implications for provenance and transport processes
  • Authors: Weiyuan Kong, Shangzhe Zhou, Guipeng Cui, Pan Gao, Shuai Li, Qi Lu
  • Journal: CATENA
  • Year: 2024
Paper Title: Tracing provenance of eolian sands in the northern Ulan Buh Desert, China: Evidence from the REE geochemical characteristics
  • Authors: Weiyuan Kong, Shangzhe Zhou, Guipeng Cui, Pan Gao, Shuai Li, Qi Lu
  • Journal: Heliyon
  • Year: 2024

Ms. Sofiia Drozd | Remote Sensing | Best Researcher Award

Ms. Sofiia Drozd, Remote Sensing, Best Researcher Award

Sofiia Drozd at National Technical University of Ukraine, Ukraine

Professional Profile

🌟 Summary:

Sofiia Drozd is a dedicated Master’s student at NTUU KPI, specializing in Mathematical Modeling and Data Analysis, and a researcher at the Space Research Institute NASU-SSAU. Her expertise spans machine learning, remote sensing, and satellite data processing, with significant contributions to global projects supported by organizations like the World Bank and Horizon Europe. Sofiia’s research focuses on developing algorithms for environmental monitoring, land use analysis, and renewable energy assessment. She actively contributes to Ukraine’s energy sector recovery and agricultural damage assessment efforts, aiming to restore stability and sustainability in both domains.

🎓 Education:

Master’s student in Mathematical Modeling and Data Analysis, NTUU KPI

💼 Professional Experience:

Researcher, Space Research Institute NASU-SSAU

🔬 Research Areas:

  • AI and machine learning
  • Remote sensing
  • Satellite data processing
  • GIS

📖 Publications Top Noted:

Paper Title: Solar energy potential mapping in Ukraine through integration of GIS, remote sensing, and fuzzy logic
  • Authors: Sofiia Drozd, Nataliia Kussul
  • Journal: European Journal of Remote Sensing
  • Year: 2024
Paper Title: Evaluating the Impact of Armed Conflict on Agricultural Sector in Ukraine through Remote Sensing and Machine Learning
  • Authors: Sofiia Drozd, Nataliia Kussul, Hanna Yailymova
  • Year: 2024
Paper Title: War damage detection based on satellite data
  • Authors: Andrii Shelestov, Sophia Drozd, Polina Mikava, Illia Barabash, Hanna Yailymova
  • Year: 2023
  • Citations: 5
Paper Title: Assessing damage to agricultural fields from military actions in Ukraine: An integrated approach using statistical indicators and machine learning
  • Authors: Nataliia Kussul, Sofiia Drozd, Hanna Yailymova, Andrii Shelestov, Guido Lemoine, Klaus Deininger
  • Journal: International Journal of Applied Earth Observation and Geoinformation
  • Year: 2023
  • Citations: 3
Paper Title: Generative adversarial network augmentation for solving the training data imbalance problem in crop classification
  • Authors: Leonid Shumilo, Anton Okhrimenko, Nataliia Kussul, Sofiia Drozd, Oleh Shkalikov
  • Year: 2023
  • Citations: 3

Mr. Rotimi Obateru | Remote Sensing | Best Researcher Award

Mr. Rotimi Obateru-Remote Sensing-Best Researcher Award

Rotimi Obateru at Federal University of Technology, Nigeria

Professional Profile

Summary:

Mr. Rotimi Oluseyi Obateru is a dedicated PhD researcher specializing in Climate Change and Human Habitat at the Federal University of Technology, Minna, Nigeria, under the West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL). With a strong academic foundation in Geography and Environmental Management, Mr. Obateru’s research focuses on assessing landscape structure changes and their impact on ecosystem services in the face of climate change across West African ecological regions. His work aims to address the environmental challenges driven by urban expansion, population growth, and climate change, striving to contribute towards sustainable solutions for the region.

👩‍🎓Education:

Mr. Obateru holds a B.Sc. in Geography (First Class Honours, 2016), an M.Sc. in Physical Geography (2019), and an M.Sc. in Environmental Management (2021), all from the University of Ibadan, Nigeria. He is currently pursuing his PhD in Climate Change and Human Habitat at the Federal University of Technology, Minna, Nigeria.

Professional Experience:

Since July 2021, Mr. Obateru has been an Assistant Lecturer in Physical Geography at Adekunle Ajasin University, Akungba-Akoko, Nigeria. In addition to his teaching responsibilities, he actively participates in international academic initiatives, such as the Bochum Urban Climate Summer School (BUCSS22) at Ruhr University Bochum, Germany, which he attended in September 2022.

Research Interest:

Mr. Obateru’s research interests lie in Physical Geography, Landscape Ecology, and Climate Change. His notable study, “Community-based assessment of the dynamics of urban landscape characteristics and ecosystem services in the rainforest and guinea savanna ecoregions of Nigeria,” integrates geospatial techniques with socioeconomic surveys to explore urban landscape changes. This groundbreaking research aims to bridge the gap between satellite observation and the socio-environmental realities of urban residents, contributing valuable insights towards achieving the United Nations Sustainable Development Goal 11 on sustainable cities and communities.

Publications Top Noted:

Title: Community-based assessment of the dynamics of urban landscape characteristics and ecosystem services in the rainforest and guinea savanna ecoregions of Nigeria

  • Authors: Rotimi Oluseyi Obateru, Appollonia Aimiosino Okhimamhe, Olutoyin Adeola Fashae, Emmanuel Aweda, Deirdre Dragovich, Christopher Conrad
  • Journal: Journal of Environmental Management
  • Year: 2024

Title: Water availability in a Nigerian sub-catchment of River Niger and its implications for food security

  • Authors: Rotimi Oluseyi Obateru, Olayinka O Ogunkoya, Dickson’D Ajayi
  • Journal: African Geographical Review
  • Year: 2023
  • Citations: 2

Title: Hydraulic geometry influences some water quality parameters in a tropical headwater basin in southwestern Nigeria

  • Authors:Rotimi Oluseyi Obateru, Olutoyin Adeola Fashae, Oluwatobiloba Isioma Osakunih, Adeyemi Oludapo Olusola
  • Journal: Acta Geophysica
  • Year: 2023
  • Citations: 1

Title: Drought assessment and rainfall trend analysis in southwestern Nigeria

  • Authors: Rotimi Oluseyi Obateru, Adewale O Adeyefa, Olutoyin Adeola Fashae
  • Journal:World Water Policy
  • Year: 2023
  • Citations: 1

Title: Factors controlling gully morphology on the quartzite ridges of Ibadan, Nigeria

  • Authors:Olutoyin Fashae, Rotimi Obateru, Adeyemi Olusola, Deirdre Dragovich
  • Journal: Catena
  • Year: 2022
  • Citations: 19