Mr. Mohammad Marjani | Remote sensing | Best Researcher Award

Mr. Mohammad Marjani | Remote sensing | Best Researcher Awardย 

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.Marjaniโ€™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

๐ŸŽ“ EDUCATION

Doctor of Philosophy, Electrical and Computer Engineering
๐Ÿ“… Sep 2023 – Present
๐Ÿ“ Memorial University of Newfoundland, St. Johnโ€™s, NL, Canada
๐ŸŒ Advanced remote sensing and deep learning algorithms for environment monitoring
๐Ÿ‘จโ€๐Ÿซ Supervisor: Dr. Masoud Mahdianpari

Master of Science, Geospatial Information System (GIS)
๐Ÿ“… Sep 2020 – Nov 2022
๐Ÿ“ K.N.Toosi University of Technology, Tehran, Iran (KNTU)
๐Ÿ“Š GPA: 18.58/20 (4.0/4.0)
๐Ÿ”ฅ The wildfire spread modeling using deep learning techniques
๐Ÿ‘จโ€๐Ÿซ Supervisor: Dr. M.S. Mesgari

Bachelor of Science, Geodesy and Geomatic Engineering
๐Ÿ“… Sep 2016 – Sep 2020
๐Ÿ“ K.N.Toosi University of Technology, Tehran, Iran (KNTU)
๐Ÿ“Š GPA: 16.22/20 (3.34/4.0)
๐Ÿ“ Thesis Title: Evaluation of 3D change detection methods in point clouds
๐Ÿ‘จโ€๐Ÿซ Supervisor: Dr. H. Ebadi

๐Ÿ”ฌ RESEARCH INTERESTS

  • Deep Learning ๐Ÿง 
  • Machine Learning ๐Ÿค–
  • Spatio-temporal Modeling ๐ŸŒ
  • Wildfire ๐Ÿ”ฅ
  • Remote Sensing ๐Ÿ›ฐ๏ธ
  • Natural Hazards ๐ŸŒช๏ธ
  • Wetland Monitoring ๐ŸŒฟ
  • Methane Monitoring ๐ŸŒฑ

๐Ÿ’ผ EXPERIENCE

Teaching Assistantships, Faculty of Iran National Geographical Organization
๐Ÿ–ฅ๏ธ Image Processing
๐Ÿ“… Sep 2019 – Jan 2020

  • Taught MATLAB programming language ๐Ÿ’ป
  • Prepared lectures ๐Ÿ“
  • Graded course assessments ๐Ÿงพ
  • Defined assignments ๐Ÿ“š

Teaching Assistantships, K.N.Toosi University of Technology
๐Ÿ–ฅ๏ธ Computational Intelligence
๐Ÿ“… Sep 2022 – Jan 2023

  • Taught Python programming language ๐Ÿ
  • Prepared lectures ๐Ÿ“
  • Graded course assessments ๐Ÿงพ
  • Defined assignments ๐Ÿ“š

Co-Founder of GeoHoosh
๐ŸŒ Educational Group
๐Ÿ“… Sep 2023 – Present

  • One of the four founders of GeoIntelligence Education Group, named GeoHoosh in Persian ๐Ÿ‡ฎ๐Ÿ‡ท
  • Aims to educate Artificial Intelligence in the Geomatic/Geospatial engineering sub-fields ๐Ÿงญ

Publications Notes:๐Ÿ“„

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

Dr. Adolph Nyamugama | Remote Sensing | Best Researcher Awardย 

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

๐Ÿ“š Education

PhD in Environmental Geography
๐Ÿ“… Feb 2009 – Apr 2013
๐ŸŽ“ Focus: Application of Remote Sensing in Environmental Monitoring

MSc in Geographical Information Systems & Cartography
๐Ÿ“… Sep 2001 – Jul 2005

BSc Honors in Geography
๐Ÿ“… Sep 1993 – Jul 1998
๐ŸŽ“ Enrique Jose Varona University, Havana, Cuba

๐Ÿ’ผ Employment

Senior Researcher
๐Ÿ“… Jan 2015 – Present
๐Ÿ“ 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
๐Ÿ“… Jan 2011 – Dec 2013
๐Ÿ“ 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.

๐Ÿ† 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:๐Ÿ“„

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

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

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 ๐Ÿ›๏ธ
    • Fields: Physics, Electronics, and Mathematics (1999-2002) ๐Ÿงฎ
  • M.Sc.: Jiwaji University ๐ŸŒ
    • Fields: Remote Sensing and GIS (2002-2004) ๐ŸŒ
  • Ph.D.: University of Delhi ๐Ÿซ
    • Fields: Remote Sensing, Environmental Hydro-Geology (2006-2012) ๐ŸŒŽ

Research/Training Experience

  • December 2019 โ€“ Present: Indian Institute of Technology Mandi ๐Ÿ”๏ธ
    • Roles: Teaching, Research, Administrative Work ๐Ÿ“–
  • January 2015 โ€“ November 2019: Indian Institute of Technology Mandi ๐Ÿ”๏ธ
    • Roles: Teaching, Research, Administrative Work ๐Ÿ“š
  • August 2011 โ€“ January 2015: Ram Lal Anand College and Department of Geology ๐Ÿซ
    • Roles: Teaching, Research, Administrative Work ๐Ÿ“
  • November 2009 โ€“ August 2013: J.M EnviroNet Pvt. Ltd., Gurgaon ๐Ÿข
    • Role: Functional Area Expert for EIA as Consultant in Remote Sensing and GIS ๐ŸŒ

Major Scientific Fields of Interest

  • Remote Sensing & GIS (RS&GIS) ๐ŸŒ
  • Natural Hazards ๐ŸŒช๏ธ
  • Multispectral and SAR Remote Sensing ๐ŸŒˆ
  • Himalayan Geology ๐Ÿ”๏ธ

 

Publications Notes:๐Ÿ“„

Discriminative Spectralโ€“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 Divergenceโ€“Correlation Index and Sparse Loadings Representation for Hyperspectral Image Classification

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