Prof. Dr. Anthony Cummings | Remote Sensing Awards | Best Researcher Award

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Prof. Dr. Anthony Cummings | Remote Sensing Awards | Best Researcher Award

Prof. Dr. Anthony Cummings, Wesleyan University, United States

Dr. Anthony R. Cummings is a Professor in the Earth and Environmental Sciences department at Wesleyan University, having previously served as an Associate Professor at The University of Texas at Dallas. He holds a Ph.D. in Geography from the Maxwell School of Citizenship and Public Affairs at Syracuse University, where he focused on the identification of multiple-use plant species in Northern Amazonia. Dr. Cummings has extensive experience in academia, with roles as a visiting associate professor at Princeton University and various positions at Syracuse University. His professional background includes significant contributions to conservation initiatives in Guyana, where he has worked as a consultant for organizations such as Habitat for Humanity and the Iwokrama International Centre for Rainforest Conservation and Development. Dr. Cummings has been recognized for his excellence in teaching, receiving several awards, including the EPPS Outstanding Teaching Comet Award and the Presidentā€™s Teaching Excellence Award nominee at The University of Texas at Dallas. His research interests span geographical information systems, remote sensing, and natural resource management, with a commitment to community engagement in environmental conservation.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award:

Dr. Anthony R. Cummings is an exemplary candidate for the Best Researcher Award due to his extensive academic background, significant contributions to the field of geography, and dedication to teaching and research in natural resource management and environmental sciences. Below is a summary of his qualifications and achievements that underscore his suitability for this prestigious recognition.

šŸ“š Education

  • Ph.D. in Geography (2013)
    Maxwell School of Citizenship and Public Affairs, Syracuse University, Syracuse, New York
    Dissertation: “For logs, for traditional purposes and for food: identification of multiple-use plant species of Northern Amazonia and an assessment of factors associated with their distribution.”
    Advisor: Dr. Jane M. Read.
  • MPhil in Geographical Information Systems (GIS) and Remote Sensing (2003)
    University of Cambridge, Cambridge, United Kingdom
    Thesis: “The Use of Remote Sensing to Discriminate Ecosystems in Guyana: A Case Study of the Shell Beach Area.”
    Advisor: Dr. Bernard Devereux.
  • MSc in Natural Resource Management (2002)
    University of the West Indies, Cave Hill, Barbados, West Indies
    Thesis: “Comparing the Ecological Impacts of Two Marine Protected Areas in Belize.”
    Advisor: Dr. Hazel Oxenford.
  • BSc in Agriculture (1999)
    University of Guyana, Turkeyen, Greater Georgetown, Guyana
    Thesis: “The Use of Plant Extracts to Control Damping-off Disease in Plants.”
    Advisor: Mr. Rajeshwar Persaud.

šŸ† Professional Recognition and Honors

  • Presidentā€™s Teaching Excellence Award nominee (2018)
    The University of Texas at Dallas
    āœØ
  • Network of Conservation Educators and Professionals Travel Award (2017)
    American Museum of Natural History
    āœˆļø
  • EPPS Outstanding Teaching Comet Award winner (2016)
    School of Economic, Political and Policy Sciences, The University of Texas at Dallas
    šŸŒŸ

PublicationĀ Top Notes:

Regional-Scale Detection of Palms Using VHR Satellite Imagery and Deep Learning in the Guyanese Rainforest

Assessing Riyadhā€™s Urban Change Utilizing High-Resolution Imagery

The Spill Over of Crime from Urban Centers: An Account of the Changing Spatial Distribution of Violent Crime in Guyana

National REDD+ Implications for Tenured Indigenous Communities in Guyana, and Communitiesā€™ Impact on Forest Carbon Stocks

Regional Scale Detection of Palms Using VHR Satellite Imagery and Deep Learning in the Guyanese Rainforest

Assoc. Prof. Dr. Jie Zhao | Remote Sensing Awards | Best Researcher Award

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Assoc. Prof. Dr. Jie Zhao | Remote Sensing Awards | Best Researcher Award

Assoc. Prof. Dr. Jie Zhao, Beijing University of Technology, China

Ā  Dr. Jie Zhao is an Associate Professor at the School of Physics and Optoelectronic Engineering at Beijing University of Technology, China. She earned his Ph.D. in Optics from the university, where she also completed her Master’s degree. Dr. Zhao gained international research experience as a joint-cultured Ph.D. student at the University of Sheffield, UK. Her primary research interests include optical information processing, digital holographic microscopy, and Fourier ptychography imaging, with a focus on biological samples and terahertz wave phase-contrast imaging.She has contributed significantly to the advancement of diffraction tomographic imaging and continuous terahertz holography. Dr. Zhao has published numerous peer-reviewed articles in prominent journals and holds multiple patents.She is also an active member of the Society of Photo-Optical Instrumentation Engineers (SPIE) and has served as a postdoctoral researcher at the Henan Institute of Metrology.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Researcher Award ā€“ Jie Zhao

Dr. Jie Zhao is an Associate Professor at Beijing University of Technology (BJUT), specializing in Optics and Optoelectronics. With a strong background in terahertz imaging, computational tomography, and optical information processing, Dr. Zhao has made significant contributions to both theoretical and applied optics. His extensive research output and collaborative efforts position him as an excellent candidate for the Best Researcher Award.

Education:

  • Sep. 2007 – July 2011: Ph.D. in Optics, College of Applied Sciences, Beijing University of Technology (BJUT), China.
    • Joint-cultured Ph.D. student at the College of Electronic and Electrical Engineering, The University of Sheffield, UK (Sep. 2008 – Sep. 2009).
  • Sep. 2005 – July 2007: Master’s in Optics, College of Applied Sciences, BJUT, China.
  • Sep. 2001 – July 2005: Bachelor’s in Science and Technology of Optical Information, College of Physics Science & Technology, Hebei University, China.

Professional Experience:

  • Aug. 2011 – Present: Associate Professor/Lecturer, School of Physics and Optoelectronic Engineering, BJUT, China.
    • Courses taught: Optics, College Physics, and Optical Information Processing.
  • Nov. 2017 – Nov. 2020: Postdoctoral Researcher, Henan Institute of Metrology, China.
  • Sep. 2011 – Present: Member of SPIE (International Society for Optics and Photonics).

Publication top Notes:

Continuous-wave terahertz in-line holographic diffraction tomography with the scattering fields reconstructed by a physics-enhanced deep neural network

High accuracy terahertz computed tomography using a 3D printed super-oscillatory lens

Binary diffractive lens with subwavelength focusing for terahertz imaging

Binocular full-color holographic three-dimensional near eye display using a single SLM

Diffraction tomography based on Fourier ptychographic microscopy with the multiple scattering model

Continuous-Wave Terahertz In-Line Digital Holography Based on Physics-Enhanced Deep Neural Network

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

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Mr. Harsh Vazirani | Remote Sensing Awards | Best Researcher AwardĀ 

Mr. Harsh Vazirani, School of Aerospace, Mechanical and Mechatronics Engineering, Australia

This individual is currently pursuing PhD studies at the University of Sydney, having secured a scholarship from the Ministry of Social Justice to pursue their research abroad. With over 11 years of experience in the fields of Information Technology (IT), GIS, Remote Sensing, and Library and Information Science, they have demonstrated expertise across various sectors, including teaching, consulting, and project development. Notably, they worked as a Consultant (IT) in the Department of Disability Affairs, Government of India, New Delhi, and contributed to the development of GIS and Remote Sensing projects for the Madhya Pradesh Agency for Promotion of Information Technology.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

The candidate is currently pursuing a Ph.D. at the University of Sydney, building on a solid foundation with an M.Tech in Information Technology and an M.Sc. in GIS & Remote Sensing. Their academic journey also includes certifications in Geo-informatics and a 5-year integrated M.Tech & B.Tech program from the Indian Institute of Information Technology and Management, Gwalior.

šŸŽ“ Academic Excellence:

Harsh Vazirani is currently pursuing a Ph.D. from the University of Sydney, supported by a prestigious scholarship from the Ministry of Social Justice, Government of India. He holds an integrated M.Tech and B.Tech in Information Technology from ABV-IIITM, Gwalior (2005-2010), completed with distinction. Additionally, he earned an M.Sc. in GIS & Remote Sensing from Mahatma Gandhi Gramodya Vishwavidyalaya (2015-2017). šŸ“š

šŸ’» Technical Expertise:

Harsh is an innovative thinker with hands-on experience in cutting-edge technologies including Python, MATLAB, PHP, AJAX, XML, and platforms such as Open Layer, D-Space, Arc GIS, Q-GIS, and Postgres SQL. His skillset extends to cloud computing, library automation systems (KOHA, D-Space), and web technologies like HTML, CSS, and JavaScript. šŸŒ

šŸ“Š Professional Experience:

With over 11 years of experience, Harsh has excelled in both teaching and non-teaching roles:

  • Consultant (IT): Department of Disability Affairs, Government of India, New Delhi šŸ›ļø
  • GIS Executive: Madhya Pradesh Agency for Promotion of Information Technology šŸ—ŗļø
  • Assistant Professor: Maulana Azad National Institute of Technology, Bhopal šŸ«
  • Head of Department: Acropolis Institute of Technology and Research, Bhopal šŸ’¼
  • Project Fellow: Regional Institute of Education, Bhopal šŸ“–

šŸ“Œ Additional roles include positions in software development, web design, and GIS projects, making significant contributions to national and regional-level initiatives.

šŸ›°ļø Research Aspirations:

Harsh aims to deepen his expertise in Aerospace and Spacecraft System Engineering, leveraging his strong foundation in physics, engineering, GIS, and IT.

Publication top Notes:

Evolutionary radial basis function network for classificatory problems

Diagnosis of breast cancer by modular neural network

Fusion of speech and face by enhanced modular neural network

 

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

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

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 ForƧa AƩrea (Pirassununga, SP, Brazil)
    • Degree: B.Sc. in CiĆŖncias AeronĆ”uticas (Aeronautical Sciences)
    • Duration: February 1998 – December 2001
  2. Instituto Nacional de Pesquisas Espaciais (INPE, SĆ£o JosĆ© dos Campos, SP, Brazil)
    • Degree: M.Sc. in ObservaĆ§Ć£o da Terra (Earth Observation)
    • Duration: February 2007 – August 2009
  3. Instituto Nacional de Pesquisas Espaciais (INPE, SĆ£o JosĆ© dos Campos, SP, Brazil)
    • Degree: Ph.D. in ObservaĆ§Ć£o da Terra (Earth Observation)
    • Duration: March 2011 – December 2015
  4. FundaĆ§Ć£o GetĆŗlio Vargas (Rio de Janeiro, RJ, Brazil)
    • Qualification: MBA Executivo in Planejamento e GestĆ£o EstratĆ©gica (Executive MBA in Planning and Strategic Management)
    • Duration: January 2020 – December 2020

Work Experience:

  1. 1Āŗ/7Āŗ Grupo de AviaĆ§Ć£o (Salvador, BA, Brazil)
    • Position: EsquadrĆ£o Operacional de Patrulha (IVR) – Operational Patrol Squadron
    • Duration: January 2003 – January 2007
  2. Instituto de Estudos AvanƧados (IEAv, SĆ£o JosĆ© dos Campos, SP, Brazil)
    • Position: Head of C4ISR Division (Comando, Controle, ComunicaƧƵes, Computadores, InteligĆŖncia, VigilĆ¢ncia e Reconhecimento) and SAR Remote Sensing Researcher
    • Duration: February 2007 – December 2020
  3. Escola de Comando e Estado-Maior da AeronƔutica (Rio de Janeiro, RJ, Brazil)
    • Position: Oficial-aluno (Officer Student)
    • Duration: December 2020 – December 2021
  4. Estado-Maior da AeronƔutica (EMAER, Brasƭlia, 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

Assoc Prof Dr. Puhong Duan | Remote sensing Award | Young Scientist Award

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Assoc Prof Dr. Puhong Duan | Remote sensing Award | Young Scientist Award

Assoc Prof Dr. Puhong Duan, Hunan University, China

Puhong Duan is an accomplished researcher and academic currently serving as an Associate Professor at the College of Electrical and Information Engineering, Hunan University, in Changsha, China. With a Ph.D. in Pattern Recognition and Intelligent Systems from Hunan University, which he completed in October 2021, Puhong has established himself as a leading expert in the fields of hyperspectral image classification, multi-source data fusion, and object detection. His academic journey began with a Bachelor’s degree in Mathematics and Statistics from Suzhou University, followed by a Masterā€™s degree in Mathematics from Hefei University of Technology. Puhong’s career at Hunan University has seen a steady progression, starting as an Assistant Researcher in 2021, advancing to Associate Researcher in January 2023, and finally being appointed as an Associate Professor in April 2024. His research contributions have significantly advanced the understanding and application of intelligent systems in image processing and data fusion, making him a prominent figure in his field.

Professional Profile:

ORCID

Summary of Suitability for the Research for Young Scientist Award:

Dr. Puhong Duan is an accomplished researcher in the field of pattern recognition, intelligent systems, and remote sensing, with a specific focus on hyperspectral image classification, multi-source data fusion, and object detection. His academic background, including a Ph.D. from Hunan University, and his rapid progression through research and academic positions at Hunan University, showcase his dedication and expertise.

šŸŽ“ Education:

  • Ph.D. in Pattern Recognition and Intelligent System
    Hunan University, Changsha, China (Sep. 2017 – Oct. 2021)
  • M.S. in Mathematics
    Hefei University of Technology, Hefei, China (Sep. 2014 – May 2017)
  • B.S. in Mathematics and Statistics
    Suzhou University, Suzhou, China (Sep. 2009 – Jul. 2014)

šŸ’¼ Working Experience:

  • Associate Professor
    Hunan University, Changsha, China (Apr. 2024 – Present)
  • Associate Researcher
    Hunan University, Changsha, China (Jan. 2023 – Mar. 2024)
  • Assistant Researcher
    Hunan University, Changsha, China (Nov. 2021 – Dec. 2022)

šŸ”¬ Research Interests:

  • Hyperspectral Image Classification šŸŒˆ
  • Multi-Source Data Fusion šŸ”—
  • Object Detection šŸ”

Puhong Duan is a dedicated scholar and innovator in the field of pattern recognition and intelligent systems, focusing on advanced techniques like hyperspectral image classification and multi-source data fusion. His work significantly contributes to the progress of object detection technologies, pushing the boundaries of what’s possible in modern image analysis.

Publication top Notes:

Channel-Layer-Oriented Lightweight Spectral-Spatial Network for Hyperspectral Image Classification

Click-Pixel Cognition Fusion Network With Balanced Cut for Interactive Image Segmentation

EUAVDet: An Efficient and Lightweight Object Detector for UAV Aerial Images with an Edge-Based Computing Platform

A Robust Infrared and Visible Image Registration Method for Dual-Sensor UAV System

Edge-Guided Hyperspectral Change Detection

Feature Consistency-Based Prototype Network for Open-Set Hyperspectral Image Classification

Feature-Band-Based Unsupervised Hyperspectral Underwater Target Detection Near the Coastline

 

Dr. Gabriela Adina Morosanu | Remote sensing Awards | Best Researcher Award

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Dr. Gabriela Adina Morosanu | Remote sensing Awards | Best Researcher Award

Dr. Gabriela Adina Morosanu, Institute of Geography of the Romanian Academy,Romania

Gabriela Adina Morosanu is a post-doctoral researcher at the University of Bucharest, specializing in hydrology and river basin management. She holds a Joint International Ph.D. from the University of Bucharest and the University of Grenoble Alpes, focusing on hydro-sedimentary dynamics. Her academic background includes a Master’s in Climatology-Hydrology and dual Bachelor’s degrees in Geography and Law. Fluent in multiple languages, Gabriela is actively involved in research projects on river restoration, sediment transport, and environmental impact assessments. She has also contributed to numerous international conferences and scientific journals

Professional Profile:

Scopus

Summary of Suitability for Best Researcher Awards: Dr. Gabriela Adina Morosanu

Gabriela Adina Morosanu is an outstanding candidate for the “Best Researcher Award” due to her impressive research trajectory and significant contributions in the fields of hydrology, environmental management, and geography. Hereā€™s a summary of her suitability for the award:

šŸŽ“Education:

Gabriela Adina Morosanu holds a Ph.D. in Hydrology from a Joint International Program between the University of Bucharest and the University of Grenoble Alpes, where she focused on the hydro-sedimentary dynamics of the Jiu River Basin. She earned her Masterā€™s in Climatology – Hydrology from the University of Bucharest with valedictorian honors, achieving a perfect average grade of 10/10. Gabriela completed her Bachelorā€™s in Geography at the University of Bucharest, also as the valedictorian with an impressive average of 9.92/10. Additionally, she holds a Bachelorā€™s in Law from the University of Craiova. Her educational journey began at ā€œFrații Buzeștiā€ National College in Craiova, where she graduated as valedictorian in the Mathematics ā€“ Informatics Bilingual English profile, with a high average grade of 9.97/10.

šŸ¢Work Experience:

Gabriela Adina Morosanu has been serving as a Post-doctoral Researcher at the University of Bucharest’s Centre for Water Resources and River Basin Management Research since May 2022. In addition, she has been a Collaborating Teaching Assistant at the University of Bucharest’s Faculty of Geography since October 2018. She coordinated the post-doctoral project ā€œField Investigation within Jiu River Basinā€ (COMPASS) from November 2020 to November 2021. Gabriela was also a member of the AMIPAHYR Project, which focused on methodological approaches for analyzing anthropic impacts on rivers, from August 2016 to December 2017. Additionally, she contributed to the design and development of a bibliographic database on Forest Hydrology at the FAO from December 2015 to January 2016.

šŸ†Awards and Recognitions:

Gabriela Adina Morosanu has been honored with several awards for her contributions to environmental research and scientific organization. She received the Young Team of Researchers Award for her research on water quality between Morii Lake and the Glina wastewater treatment plant. She was also recognized with the Scientific Congress Coordinator Award for her role in organizing the Scientific Congress of Eastern European Students titled “Energy Challenges and Transitions in Geosciences.” Additionally, Gabriela earned the European Geosciences Union General Assembly Oral Communication Award for her presentation on “Sediment Connectivity Assessment in a Romanian Catchment Affected by Coal Mining.”

Publication Top Notes:

  • Stakeholdersā€™ Interaction in Water Management System: Insights from a MACTOR Analysis in the Rā€™Dom Sub-basin, Morocco
    • Citations: 7
  • Assessment of Restoration Effects in Riparian Wetlands using Satellite Imagery. Case Study on the Lower Danube River
    • Citations: 5
  • Mining Hazard Risk Reduction and Resilience
    • Citations: 1
  • The use of low impact development technologies in the attenuation of flood flows in an urban area: Settat city (Morocco) as a case
    • Citations: 15
  • Integrated water resources management: An indicator framework for water management system assessment in the R’Dom Sub-basin, Morocco
    • Citations: 17

 

 

Prof. Han Zhai | Land Tracking | Best Researcher Award

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Prof. Han Zhai | Land Tracking | Best Researcher Award

Prof. Han Zhai, China University of Geosciences, China

Han Zhai is an Associate Professor in the Department of Geography at the School of Geography and Information Engineering, China University of Geosciences, Wuhan, China. He earned his Ph.D. in Engineering from Wuhan University in June 2019, where he specialized in photogrammetry and remote sensing. Prior to this, he completed his Bachelorā€™s degree in Engineering with a major in remote sensing science and technology from Shandong University of Science and Technology in June 2014. Since joining the China University of Geosciences in July 2019, Dr. Zhai has focused his research on hyperspectral image processing, remote sensing image information extraction and application, cloud detection, urbanization, and land use and land cover monitoring and simulation. His work aims to advance the understanding and application of remote sensing technologies in various environmental and urban contexts.

Professional Profile:

 

Educational Background šŸŽ“

  • Ph.D. in Engineering (2019)
    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University
    Major: Photogrammetry and Remote Sensing
  • Bachelor’s Degree in Engineering (2014)
    College of Geodesy and Geomatics, Shandong University of Science and Technology
    Major: Remote Sensing Science and Technology

Professional Experience šŸ¢

  • Associate Professor (July 2019 – Present)
    School of Geography and Information Engineering, China University of Geosciences

Research Interests šŸ”

  • Hyperspectral Image Processing
  • Remote Sensing Image Information Extraction and Application
  • Cloud Detection
  • Urbanization
  • Land Use and Land Cover Monitoring and Simulation

Publication top Notes:

 

Multi-Scenario Simulation of Land System Change in the Guangdongā€“Hong Kongā€“Macao Greater Bay Area Based on a Cellular Automataā€“Markov Model

 

 

 

Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Award

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Dr. Adolph Nyamugama | Remote Sensing | Best Researcher AwardĀ 

Dr. Adolph Nyamugama, Agricultural Research Council, South Africa

Dr. Adolph Nyamugama is an accomplished environmental geographer with a strong academic background, holding a PhD in Environmental Geography with a focus on the application of remote sensing in environmental monitoring. He completed his MSc in Geographical Information Systems & Cartography and his BSc Honors in Geography at Enrique Jose Varona University in Havana, Cuba. Dr. [Your Name] is fluent in English, Spanish, Shona, and Mandarin, and enjoys traveling and watching soccer in his spare time.Currently serving as a Senior Researcher at the Agricultural Research Council in Pretoria since January 2015, Dr. Adolph Nyamugama has excelled in strategic planning, operations management, research, and business development. He has successfully led the crop estimation project, generating R10 million annually, and introduced innovative spatial technology for crop disease monitoring. His expertise extends to stakeholder management, where he has fostered strong relationships with clients, peer organizations, and international partners.

Professional Profile

šŸ“š Education

PhD in Environmental Geography
šŸ“… Feb 2009 – Apr 2013
šŸŽ“ Focus: Application of Remote Sensing in Environmental Monitoring

MSc in Geographical Information Systems & Cartography
šŸ“… Sep 2001 – Jul 2005

BSc Honors in Geography
šŸ“… Sep 1993 – Jul 1998
šŸŽ“ Enrique Jose Varona University, Havana, Cuba

šŸ’¼ Employment

Senior Researcher
šŸ“… Jan 2015 – Present
šŸ“ Agricultural Research Council, Pretoria

  • Strategic Planning: Developed team strategies aligning with organizational goals, participated in strategy development, monitored delivery, and provided strategic advice on revenue generation.
  • Operations Management: Directed crop estimation using drones and GIS, including project planning, KPI development, human/financial resource management, and milestone monitoring.
  • Research: Led multidisciplinary research projects, managed data collection/analysis, published reports/articles, and maintained spatial datasets.
  • Business Development: Created business strategies for revenue generation and long-term sustainability, drove marketing initiatives, and promoted services/products.

Senior GIS Consultant
šŸ“… Jan 2011 – Dec 2013
šŸ“ Kanimambo Cosmos Engineering Company, Cape Town City Council

  • Managed all GIS functions and monitored project work by technicians.
  • Provided GIS support for database-related issues and ensured mapping standards adherence.
  • Controlled mapping standards, reported on GIS aspects, and ensured timely completion of documents.
  • Managed, developed, and maintained spatial databases.

šŸ† Achievements

  1. Crop Estimation Project: Successfully implemented a national project, generating at least R10 million annually.
  2. Spatial Technology for Crop Disease Detection: Introduced NRF-funded project for detecting and monitoring crop diseases.
  3. GIS Tools for Data Analysis: Implemented GIS tools for data analysis in various organizations.
  4. Intern Funding and Department Capacitation: Secured funding for interns to support departmental strategic objectives.
  5. SENTI2 Agri-System SA Demonstration Project: Led ARC-Catholic University collaboration on an Uncloud-ESA funded project.
  6. United Nations Convention to Combat Desertification: Appointed as an Independent Expert and Country Representative.

Publications Notes:šŸ“„

Integrating Sigmoid Calibration Function into Entropy Thresholding Segmentation for Enhanced Recognition of Potholes Imaged Using a UAV Multispectral Sensor

Radiometric Compensation for Occluded Crops Imaged Using High-Spatial-Resolution Unmanned Aerial Vehicle System

Irrigation Scheduling for Small-Scale Crops Based on Crop Water Content Patterns Derived from UAV Multispectral Imagery

Prospects of Improving Agricultural and Water Productivity through Unmanned Aerial Vehicles