Dr. Hao Cui | Remote sensing | Best Researcher Award

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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. Arif UR Rehman | Remote Sensing Awards | Best Researcher Award

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Dr. Arif UR Rehman | Remote Sensing Awards | Best Researcher Award

Dr. Arif UR Rehman, Aerospace Information Research Institute, CAS, Pakistan

Arif UR Rehman, is a dedicated researcher specializing in Remote Sensing, GIS, and Forestry. He is currently a Research Assistant at the Aerospace Information Research Institute, Chinese Academy of Sciences, in Beijing, China, where he focuses on spatio-temporal remote sensing data acquisition, processing, and developing machine learning-based tools for vegetation mapping. Previously, he worked as a Remote Sensing Analyst at CABI International under an ADB project, contributing to food security by enhancing crop classification techniques. Arif holds a Master’s degree in Forestry from Beijing Forestry University, an MPhil in Remote Sensing and GIS from the University of the Punjab, an MSc in GIS, a PGD in Remote Sensing & GIS, and an MSc in Electronics from the University of Peshawar. His academic research spans diverse topics, including forest classification, afforestation impact assessment, and land surface temperature analysis. With a strong background in scientific publications and GIS-based spatial analysis, he continues to contribute to advancements in remote sensing and environmental monitoring.

Professional Profile:

SCOPUS

Suitability for the Best Researcher Award

Based on the provided information, Arif UR Rehman has a strong academic and research background in Remote Sensing, GIS, and Machine Learning Applications in Forestry and Agriculture. His qualifications and achievements make him a potential candidate for the Best Researcher Award, but there are some aspects to consider:

🎓 Education

📍 Master in Forestry (Professional Degree) (2019 – 2021)

  • Institution: Beijing Forestry University, China 🇨🇳
  • Field: Forest Management
  • Final Grade: A+
  • Thesis: Feasibility of combining Landsat-8 data with ancillary variables for forest types and land cover classification in mountainous terrains of northern Pakistan

📍 Master of Philosophy (MPhil) in Remote Sensing and GIS (2017 – 2019)

  • Institution: PUCIT, University of the Punjab, Pakistan 🇵🇰
  • Field: Remote Sensing & GIS
  • Final Grade: 72.8%
  • Thesis: Remote Sensing & GIS application for monitoring and evaluating afforestation impact – A case study of the Billion Tree Tsunami Project in Peshawar, Pakistan 🌳

📍 Master of Science (MSc) in Geographic Information System (GIS) (2015 – 2017)

  • Institution: PUCIT, University of the Punjab, Pakistan 🇵🇰
  • Field: GIS
  • Final Grade: 73.2%
  • Thesis: Analyzing the impacts of deforestation on Land Surface Temperature in Northern Pakistan 🌍🌡️

📍 Post Graduate Diploma (PGD) in Remote Sensing & GIS (2014 – 2015)

  • Institution: NCE in Geology, University of Peshawar, Pakistan 🇵🇰
  • Field: GIS & Remote Sensing
  • Final Grade: 73%
  • Thesis: Spatial-Temporal assessment of Land-Use and Land-Cover changes in Lahore 🏙️

📍 Master of Science (MSc) in Electronics (2013 – 2015)

  • Institution: University of Peshawar, Pakistan 🇵🇰
  • Field: Electronics
  • Final Grade: 64%
  • Thesis: Developing Hardware & Android software for Outdoor Advertisement Display 📱💡

🏢 Work Experience

🔹 Research Assistant (Feb 2023 – Aug 2024)

  • Institution: Aerospace Information Research Institute, Chinese Academy of Sciences 🇨🇳
  • Location: Beijing, China
  • Key Responsibilities:
    • Spatio-Temporal Remote Sensing data acquisition & processing 🛰️
    • Developing Machine Learning-based tools for vegetation mapping 🌿🤖
    • Scientific Publications 📚

🔹 Remote Sensing Analyst (Jun 2022 – Dec 2022)

  • Organization: CABI International; ADB Project: Strengthening Food Security 🇵🇰
  • Location: National Agricultural Research Centre (NARC), Islamabad
  • Key Responsibilities:
    • Capacity development of the Crop Reporting Service Department 🌾
    • Google Earth Engine for Crop Classification 🛰️
    • Seasonal Crop Classification Maps 📊

🏆 Achievements & Contributions

✔ Published multiple scientific papers in Remote Sensing, GIS, and Forestry journals 📄🔬
✔ Expertise in Google Earth Engine, Machine Learning, GIS & Remote Sensing, and Crop Mapping 🌍🌾
✔ Significant contributions to afforestation projects (Billion Tree Tsunami) 🌳✅
✔ Developed ML-based tools for vegetation mapping and land cover classification 🤖🌎

🎖 Awards & Honors

🏅 A+ Grade in Master’s at Beijing Forestry University (Highest distinction)
🏅 Recognized for contributions to afforestation monitoring in Pakistan 🌲
🏅 Key researcher in major GIS & Remote Sensing projects 📊

Publication Top Notes:

Removal of environmental influences for estimating soil texture fractions based on ZY1 satellite hyperspectral images

Multi-Temporal Sentinel-1 and Sentinel-2 Data for Orchards Discrimination in Khairpur District, Pakistan Using Spectral Separability Analysis and Machine Learning Classification

Estimation of above-ground biomass in dry temperate forests using Sentinel-2 data and random forest: a case study of the Swat area of Pakistan

The role of random forest and Markov chain models in understanding metropolitan urban growth trajectory

Large Scale Fish Images Classification and Localization using Transfer Learning and Localization Aware CNN Architecture

Combining Landsat-8 spectral bands with ancillary variables for land cover classification in mountainous terrains of northern Pakistan

Comparing different space-borne sensors and methods for the retrieval of land surface temperature

 

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 President’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.

📚 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.

🏆 Professional Recognition and Honors

  • President’s Teaching Excellence Award nominee (2018)
    The University of Texas at Dallas
    ✨
  • Network of Conservation Educators and Professionals Travel Award (2017)
    American Museum of Natural History
    ✈️
  • EPPS Outstanding Teaching Comet Award winner (2016)
    School of Economic, Political and Policy Sciences, The University of Texas at Dallas
    🌟

Publication Top Notes:

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

Assessing Riyadh’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 Communities’ Impact on Forest Carbon Stocks

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

Efstratios Karantanellis | Remote Sensing | Best Researcher Award

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Efstratios Karantanellis | Remote Sensing | Best Researcher Award

Dr. Efstratios Karantanellis, University of Michigan-Ann Arbor, United States.

Dr. Efstratios Karantanellis is a research fellow in the Department of Earth and Environmental Sciences at the University of Michigan, specializing in natural hazards, engineering geology, and landslide analysis. He obtained his PhD from Aristotle University of Thessaloniki in 2022 and has collaborated on various projects focused on disaster risk reduction and response, utilizing remote sensing and object-based image analysis (OBIA). Efstratios has extensive experience in hazard assessment and mitigation planning, contributing to research in Greece and internationally. He has been recognized with multiple awards for his contributions to the field. 🌍🔬🎓

Publication Profiles 

Googlescholar

Education and Experience

  • PhD, Aristotle University of Thessaloniki, Greece (2022) 🎓
  • MSc, University of Twente, ITC, Netherlands (2015) 🌍
  • BSc, Aristotle University of Thessaloniki, Greece (2013) 📚
  • Research Fellow, University of Michigan, Ann Arbor, USA (2022 – ongoing) 🏫
  • Visiting Researcher, University of California, Berkeley, USA (2024) 🌉
  • Research Associate, various projects in Greece (2020 – 2023) 📊

Suitability For The Award

Dr. Efstratios Karantanellis is an outstanding candidate for the Best Researcher Award, recognized for his exceptional contributions to geosciences, specifically in the field of disaster risk reduction and environmental management. His extensive educational background, including a PhD from Aristotle University of Thessaloniki and ongoing research at the University of Michigan, equips him with a robust foundation in both theoretical and applied aspects of his discipline.

Professional Development

Dr. Efstratios Karantanellis has actively participated in numerous research projects, enhancing his expertise in engineering geology and disaster risk management. He contributed to the Center for Land Surface Hazards (CLaSH) as part of the U.S. National Science Foundation. His research includes developing tools for landslide disaster risk reduction and coastal zone monitoring systems. By collaborating with interdisciplinary teams, he has leveraged interoperable technologies to support infrastructure resilience. Through his extensive work, Efstratios has made significant contributions to natural hazards research and continues to advance knowledge in this critical field. 🔍📈🤝

Research Focus

Dr. Efstratios Karantanellis focuses on natural hazards, particularly landslide engineering geology and risk management. His research incorporates remote sensing techniques and object-based image analysis (OBIA) to assess and mitigate the impacts of landslides and other geological hazards. He emphasizes disaster risk reduction throughout the disaster life cycle, utilizing innovative methodologies to support effective response and recovery strategies. His work aims to enhance resilience in vulnerable regions, contributing to safer and more sustainable communities. 🌪️🏞️🧪

Awards and Honors

  • Richard Wolters Prize, International Association for Engineering Geology and the Environment (2024, Runner-up) 🏆
  • Early Career Research Award of Excellence, Faculty of Natural Sciences, Aristotle University of Thessaloniki (2022) 🌟
  • Postdoctoral Fellowship, NASA’s Applied Science Disasters Program (2022) 🚀
  • Research Grant, co-financed by Greece and the EU (MIS-5000432) 💰
  • ISPRS Foundation Travel Grant, 2019 ✈️
  • EuroSDR GeoInformation Travel Grant, 2018 📍

Publication Top Notes 

  •   🌍 Object-based analysis using UAVs for site-specific landslide assessment – Remote Sensing, 2020, Cited by: 72
  • 📡 Satellite imagery for rapid detection of liquefaction surface manifestations: Türkiye–Syria 2023 Earthquakes – Remote Sensing, 2023, Cited by: 32
  • 📏 Automated 3D jointed rock mass structural analysis using LiDAR for rockfall susceptibility – Geotechnical and Geological Engineering, 2020, Cited by: 29
  • 🤖 Evaluation of machine learning algorithms for object-based mapping of landslide zones using UAV data – Geosciences, 2021, Cited by: 26
  • 🛰️ 3D hazard analysis and object-based characterization of landslide motion using UAV imagery – International Archives of Photogrammetry and Remote Sensing, 2019, Cited by: 20
  • 🌪️ The September 18-20 2020 Medicane Ianos Impact on Greece: Phase I Reconnaissance Report – GEER Association, 2020, Cited by: 19  

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

  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 – 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. Xiaowo Xu | Remote Sensing award | Best Researcher Award

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Mr. Xiaowo Xu | Remote Sensing award | Best Researcher Award 

Mr. Xiaowo Xu, University of Electronic Science and Technology of China 

Xiaowo Xu is a Ph.D. candidate in Information and Communication Engineering at the University of Electronic Science and Technology of China (UESTC), where he has been honing his research skills since September 2022. His academic journey began with a Bachelor of Engineering in Electronic Information Engineering from Sichuan University, followed by a Master of Engineering in the same field at UESTC. His research interests focus on deep learning applications, particularly in object categorization, object detection, instance segmentation, and moving object tracking. Currently, he is dedicated to the intelligent interpretation of synthetic aperture radar (SAR) images. Xiaowo has received several prestigious awards, including the 1st Scholarship for Doctoral Candidates and the Special Scholarship for Doctoral Candidates from UESTC, along with an “Honor Academic” Award and the Outstanding Graduate Student Award for the 2022-2023 academic year.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Xiaowo Xu’s research focus on deep learning applications, particularly in object detection, segmentation, and synthetic aperture radar (SAR) image interpretation, positions him well for the Best Researcher Award. His expertise aligns with cutting-edge areas like object categorization and moving object tracking, essential topics in remote sensing and computer vision, which are currently high-impact fields in academia and industry.

Education:

  • Sep. 2022 – Present: Ph.D. candidate in Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC).
  • Sep. 2020 – Sep. 2022: Master of Engineering in Information and Communication Engineering, University of Electronic Science and Technology of China (UESTC).
  • Sep. 2016 – Jun. 2020: Bachelor of Engineering in Electronic Information Engineering, Sichuan University (SCU).

Work and Research Experience:

  • Ph.D. Research (2022 – Present): Xiaowo Xu is currently pursuing a Ph.D. in Information and Communication Engineering at UESTC, focusing on deep learning applications in synthetic aperture radar (SAR) image intelligent interpretation. His research areas encompass object categorization, detection, instance segmentation, and moving object tracking using deep learning techniques.
  • Master’s Research (2020 – 2022): During his master’s studies at UESTC, he deepened his expertise in information and communication engineering, developing skills in Python, MATLAB, and deep learning frameworks like PyTorch and TensorFlow.
  • Academic Communication and Conferences (2022 – Present): Xiaowo Xu has presented his research through posters at prestigious IEEE conferences, including the International Geoscience and Remote Sensing Symposium and the Radar Conference. His work has been showcased internationally, including in the USA, Malaysia, and China.

Publication top Notes:

A Novel Multimodal Fusion Framework Based on Point Cloud Registration for Near-Field 3D SAR Perception

A Group-Wise Feature Enhancement-and-Fusion Network with Dual-Polarization Feature Enrichment for SAR Ship Detection

RBFA-Net: A Rotated Balanced Feature-Aligned Network for Rotated SAR Ship Detection and Classification

A Sparse-Model-Driven Network for Efficient and High-Accuracy InSAR Phase Filtering

Lite-YOLOv5: A Lightweight Deep Learning Detector for On-Board Ship Detection in Large-Scene Sentinel-1 SAR Images

 

Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Award

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Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Award 

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

📚 Education

PhD in Environmental Geography
📅 Feb 2009 – Apr 2013
🎓 Focus: Application of Remote Sensing in Environmental Monitoring

MSc in Geographical Information Systems & Cartography
📅 Sep 2001 – Jul 2005

BSc Honors in Geography
📅 Sep 1993 – Jul 1998
🎓 Enrique Jose Varona University, Havana, Cuba

💼 Employment

Senior Researcher
📅 Jan 2015 – Present
📍 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
📅 Jan 2011 – Dec 2013
📍 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.

🏆 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:📄

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

 

 

 

 

 

 

 

 

Assoc Prof Dr. Dericks Shukla | Remote Sensing | Excellence in Research

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Assoc Prof Dr. Dericks Shukla | Remote Sensing | Excellence in Research 

Assoc Prof Dr. Dericks Shukla, IIT Mandi, India

Dr. Dericks Praise Shukla, born on January 2, 1982, is an esteemed Associate Professor with a robust academic and research background in Remote Sensing and GIS. He began his academic journey with a Bachelor of Science degree in Physics, Electronics, and Mathematics from Ewing Christian College, Allahabad University, completed between 1999 and 2002. He then pursued a Master of Science degree in Remote Sensing and GIS from Jiwaji University, which he obtained from 2002 to 2004. Dr. Shukla further advanced his expertise by earning a Ph.D. in Remote Sensing and Environmental Hydro-Geology from the University of Delhi, where he studied from 2006 to 2012.Dr. Shukla’s professional career has been marked by significant contributions to both teaching and research. Since December 2019, he has been associated with the Indian Institute of Technology (IIT) Mandi, where he is involved in teaching, research, and administrative duties. Prior to this, from January 2015 to November 2019, he also held similar responsibilities at IIT Mandi. From August 2011 to January 2015, Dr. Shukla worked at Ram Lal Anand College and the Department of Geology, where he continued his dedication to teaching and research. His professional journey began at J.M EnviroNet Pvt. Ltd., Gurgaon, where he served as a Functional Area Expert for EIA as a consultant in Remote Sensing and GIS from November 2009 to August 2013.

Professional Profile

Degrees Conferred

  • B.Sc.: Ewing Christian College, Allahabad University 🏛️
    • Fields: Physics, Electronics, and Mathematics (1999-2002) 🧮
  • M.Sc.: Jiwaji University 🌍
    • Fields: Remote Sensing and GIS (2002-2004) 🌐
  • Ph.D.: University of Delhi 🏫
    • Fields: Remote Sensing, Environmental Hydro-Geology (2006-2012) 🌎

Research/Training Experience

  • December 2019 – Present: Indian Institute of Technology Mandi 🏔️
    • Roles: Teaching, Research, Administrative Work 📖
  • January 2015 – November 2019: Indian Institute of Technology Mandi 🏔️
    • Roles: Teaching, Research, Administrative Work 📚
  • August 2011 – January 2015: Ram Lal Anand College and Department of Geology 🏫
    • Roles: Teaching, Research, Administrative Work 📝
  • November 2009 – August 2013: J.M EnviroNet Pvt. Ltd., Gurgaon 🏢
    • Role: Functional Area Expert for EIA as Consultant in Remote Sensing and GIS 🌐

Major Scientific Fields of Interest

  • Remote Sensing & GIS (RS&GIS) 🌐
  • Natural Hazards 🌪️
  • Multispectral and SAR Remote Sensing 🌈
  • Himalayan Geology 🏔️

 

Publications Notes:📄

Discriminative Spectral–Spatial Feature Extraction-Based Band Selection for Hyperspectral Image Classification

Effect of scale and mapping unit on landslide susceptibility mapping of Mandakini River Basin, Uttarakhand, India

Identifying Geotechnical Characteristics for Landslide Hazard Indication: A Case Study in Mandi, Himachal Pradesh, India

Deciphering the role of meteorological parameters controlling the sediment load and water discharge in the Sutlej basin, Western Himalaya

Band Selection Using Combined Divergence–Correlation Index and Sparse Loadings Representation for Hyperspectral Image Classification

Spatial distribution of uranium and chemo-radiological assessment in Hamirpur district, Himachal Pradesh, India