Mr. Mohammad Marjani | Remote sensing | Best Researcher Award

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Mr. Mohammad Marjani | Remote sensing | Best Researcher Award 

Mr. Mohammad Marjani, Memorial University of Newfoundland, Canada

Mohammad Marjani is a dedicated researcher and educator currently pursuing a Doctor of Philosophy in Electrical and Computer Engineering at Memorial University of Newfoundland, specializing in advanced remote sensing and deep learning algorithms for environmental monitoring under the supervision of Dr. Masoud Mahdianpari. He holds a Master of Science in Geospatial Information System (GIS) from K.N.Toosi University of Technology, where he graduated with a stellar GPA of 4.0/4.0, focusing on wildfire spread modeling using deep learning techniques. His academic journey began with a Bachelor of Science in Geodesy and Geomatic Engineering from the same university, where he researched 3D change detection methods in point clouds.Marjani’s research interests span deep learning, machine learning, spatio-temporal modeling, and remote sensing, with particular emphasis on natural hazards like wildfires and methane monitoring. He has accumulated valuable teaching experience as a Teaching Assistant at both the Iran National Geographical Organization and K.N.Toosi University, imparting knowledge in image processing, MATLAB, and Python programming.In addition to his academic endeavors, Marjani is a co-founder of GeoHoosh, an educational group dedicated to promoting artificial intelligence in geomatic and geospatial engineering. His commitment to advancing the field through both research and education underscores his role as a rising expert in geospatial technologies and environmental monitoring.

 

Professional Profile

🎓 EDUCATION

Doctor of Philosophy, Electrical and Computer Engineering
📅 Sep 2023 – Present
📍 Memorial University of Newfoundland, St. John’s, NL, Canada
🌐 Advanced remote sensing and deep learning algorithms for environment monitoring
👨‍🏫 Supervisor: Dr. Masoud Mahdianpari

Master of Science, Geospatial Information System (GIS)
📅 Sep 2020 – Nov 2022
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 18.58/20 (4.0/4.0)
🔥 The wildfire spread modeling using deep learning techniques
👨‍🏫 Supervisor: Dr. M.S. Mesgari

Bachelor of Science, Geodesy and Geomatic Engineering
📅 Sep 2016 – Sep 2020
📍 K.N.Toosi University of Technology, Tehran, Iran (KNTU)
📊 GPA: 16.22/20 (3.34/4.0)
📐 Thesis Title: Evaluation of 3D change detection methods in point clouds
👨‍🏫 Supervisor: Dr. H. Ebadi

🔬 RESEARCH INTERESTS

  • Deep Learning 🧠
  • Machine Learning 🤖
  • Spatio-temporal Modeling 🌍
  • Wildfire 🔥
  • Remote Sensing 🛰️
  • Natural Hazards 🌪️
  • Wetland Monitoring 🌿
  • Methane Monitoring 🌱

💼 EXPERIENCE

Teaching Assistantships, Faculty of Iran National Geographical Organization
🖥️ Image Processing
📅 Sep 2019 – Jan 2020

  • Taught MATLAB programming language 💻
  • Prepared lectures 📝
  • Graded course assessments 🧾
  • Defined assignments 📚

Teaching Assistantships, K.N.Toosi University of Technology
🖥️ Computational Intelligence
📅 Sep 2022 – Jan 2023

  • Taught Python programming language 🐍
  • Prepared lectures 📝
  • Graded course assessments 🧾
  • Defined assignments 📚

Co-Founder of GeoHoosh
🌐 Educational Group
📅 Sep 2023 – Present

  • One of the four founders of GeoIntelligence Education Group, named GeoHoosh in Persian 🇮🇷
  • Aims to educate Artificial Intelligence in the Geomatic/Geospatial engineering sub-fields 🧭

Publications Notes:📄

Application of Explainable Artificial Intelligence in Predicting Wildfire Spread: An ASPP-Enabled CNN Approach

CNN-BiLSTM: A Novel Deep Learning Model for Near-Real-Time Daily Wildfire Spread Prediction

 

 

 

 

 

 

 

 

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