Dr. Mohammad Suhail Meer | Geoinformatics | Best Researcher Award
Assistant Professor at Health GIS Laboratory, Department of Respiratory Medicine Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, 602105, Tamil Nadu, India
Dr. Mohammad Suhail Meer 🇮🇳 is a dedicated researcher in geospatial science, specializing in environmental and disaster applications 🌍📡. With a Ph.D. in Geoinformatics from Sathyabama Institute of Science and Technology 🎓, his research bridges satellite remote sensing, climate change, and environmental monitoring. He is particularly passionate about cyclone and precipitation mapping 🌪️🌧️, flash flood forecasting 🌊, land use/land cover change detection 🌱🏙️, health GIS modeling 🏥🗺️, and microplastic pollution assessment 🧪🌊. Guided by a leading scientist from the India Meteorological Department, his doctoral thesis focused on the relationship between land use changes and their societal and environmental impacts in North Kashmir. Dr. Meer is known for his interdisciplinary outlook and aims to contribute meaningfully to sustainable development, disaster resilience, and geospatial innovation. He blends scientific rigor with practical impact, striving for excellence in every step of his research journey 🚀📖.
Professional Profile:
✅Suitability For Best Researcher Award – Dr. Mohammad Suhail Meer
Dr. Mohammad Suhail Meer exemplifies a well-rounded researcher with:
-
A solid academic background in Geoinformatics, Disaster Management, and Environmental Sciences 🎓🌍
-
Interdisciplinary expertise that bridges environmental monitoring, climate science, health GIS, and pollution analysis 🧪🏥🛰️
-
Technical mastery in satellite remote sensing, GIS modeling, and spatial data analysis 🖥️🗺️
-
A regional research focus on climate-sensitive areas (North Kashmir), contributing critical insights to local and global environmental resilience plans ⛰️🌦️
-
A strong alignment with UN Sustainable Development Goals (SDGs)—especially SDG 13 (Climate Action), SDG 11 (Sustainable Cities), and SDG 3 (Good Health) 🌆🌱
🎓 Education
Dr. Meer has a solid educational foundation in geospatial and environmental sciences 📚. He earned his Ph.D. in Geoinformatics 🛰️ from Sathyabama Institute of Science and Technology in 2022, focusing on land use and environmental interactions in North Kashmir. He previously completed a Master’s in Disaster Management 🌪️ from Indira Gandhi National Open University in 2017 and an M.Sc. in Geoinformatics 🌍 from the University of Kashmir in 2014. His undergraduate studies included Geology, Geography, Chemistry, and English 🧪🗺️📘 from the University of Kashmir (2011), providing a multidisciplinary base. Additionally, he holds a Diploma in Computer Applications 💻 from the International Computer Institute (2007), showcasing his technical proficiency in software and data tools essential for GIS-based analysis.
💼 Experience
While his formal CV focuses more on academic credentials, Dr. Meer has built a strong foundation through research-intensive academic work and field-based projects 🧑🔬📊. His doctoral journey included satellite data analysis, modeling of flash floods, and environmental monitoring in climate-sensitive areas such as North Kashmir 🏔️🌧️. Working under the mentorship of a senior scientist from the India Meteorological Department 🌦️, he gained hands-on experience in remote sensing applications, meteorological analysis, and GIS-based policy implications. His field knowledge and geospatial expertise enable him to provide meaningful insights into disaster management, health GIS, and pollution tracking 🌪️📍. Dr. Meer continues to expand his experience in both academic research and applied science, with a vision to contribute to global environmental sustainability 🌱🌐.
📈 Professional Development
Dr. Mohammad Suhail Meer is consistently engaged in upgrading his professional capabilities through academic research, skill enhancement, and multidisciplinary exploration 🧑🏫💡. His Ph.D. journey refined his technical command of satellite data interpretation, GIS modeling, and environmental impact studies 🛰️🗺️. He has also pursued post-graduate training in Disaster Management, equipping him with an understanding of crisis response frameworks and resilience strategies ⚠️📘. His diploma in Computer Applications further sharpened his technical proficiency in geospatial tools and programming environments 💻📊. Dr. Meer actively follows developments in climate science, microplastic research, and health-environment interactions 🧪🌍. He aspires to collaborate across disciplines and institutions to broaden the impact of his work. His learning journey emphasizes not only scientific advancement but also societal benefit, demonstrating his commitment to sustainable development, innovation, and practical solutions for global challenges 🌎🤝.
🔬 Research Focus
Dr. Meer’s research falls under Environmental Geoinformatics and Disaster Risk Science 🌍🌪️. His work primarily revolves around remote sensing applications in climate and environmental change, with key emphasis on cyclone tracking, precipitation patterns, flood forecasting, and land use/land cover dynamics 🛰️🌧️🌊🌱. He integrates satellite imagery and GIS modeling to evaluate environmental transformations and their links with human systems 🗺️🏘️. Additionally, he explores emerging threats like microplastic pollution in ecosystems 🌊🧪 and applies Health GIS to analyze spatial impacts on public health 🏥📍. His regional focus on North Kashmir—a climate-sensitive and topographically complex area—makes his research crucial for climate adaptation, sustainability, and resilience planning ⛰️🌦️. Dr. Meer’s work contributes to SDGs related to climate action, clean environments, and sustainable cities 🚀🌆. He aligns technical expertise with societal priorities, establishing himself as a rising voice in geospatial environmental research 🌐🔍.
🛠️ Research Skills
Dr. Mohammad Suhail Meer possesses a diverse skill set in Geoinformatics, Remote Sensing, and Environmental Modeling 🛰️🗺️. His technical expertise includes processing satellite imagery, GIS-based spatial analysis, climate data forecasting, flood modeling, and LULC detection 🌀🌧️🌿. He is proficient in using tools like ArcGIS, ERDAS Imagine, QGIS, and remote sensing software suites 🖥️📊. His interdisciplinary training in disaster management enhances his ability to model risk zones and develop mitigation strategies ⚠️📍. His experience in Health GIS and microplastic pollution tracking reflects his adaptability in both human and ecological domains 🏥🌊. With a diploma in Computer Applications, Dr. Meer also brings coding and data processing capabilities essential for complex spatial analysis 💻📈. His research integrates satellite data, environmental indicators, and policy relevance, making him adept at solving real-world problems through spatial intelligence and scientific innovation 🌍🧠.
🏅 Awards & Honors
While no formal awards or honors are listed in the provided CV 🗃️, Dr. Mohammad Suhail Meer’s Ph.D. research under the supervision of a senior India Meteorological Department scientist 🌦️🧑🔬 signifies a high level of academic recognition and institutional trust. His successful completion of interdisciplinary degrees and sustained commitment to environmental and disaster science reflect academic distinction and research potential 🎓💫. As he continues publishing and contributing to scientific communities, Dr. Meer is well-positioned for future recognition in areas like environmental sustainability, GIS innovation, and disaster management 🌱🏆.
Publication Top Notes
Satellite-based assessment of extreme rainfall during the 2019 Indian monsoon: climatic linkages to IOD and ENSO
-
Journal: Modeling Earth Systems and Environment
-
Publication Year: 2025
-
Summary:
This study employs satellite-based data to analyze extreme rainfall events during the 2019 Indian monsoon season. It investigates how large-scale climate phenomena—particularly the Indian Ocean Dipole (IOD) and El Niño-Southern Oscillation (ENSO)—influenced monsoonal rainfall patterns. -
Key Topics:
-
Extreme rainfall analysis
-
Satellite remote sensing
-
Indian monsoon 2019
-
Climatic drivers: IOD & ENSO
-
A Review on Enhancing Flood Mitigation Strategies: A Comparative Study of SCS-CN and ANN Model Integration with GIS for Rainfall–Runoff Simulation
-
Type: Review Paper
-
Summary:
This review compares the effectiveness of two popular hydrological models—SCS-Curve Number (SCS-CN) and Artificial Neural Networks (ANN)—when integrated with Geographic Information Systems (GIS) for simulating rainfall-runoff processes. It aims to identify the best model combinations for improving flood mitigation strategies. -
Key Topics:
-
Rainfall–runoff modeling
-
SCS-CN vs. ANN
-
GIS-based hydrological simulations
-
Flood mitigation and water resource planning
-
🏁 Conclusion
Dr. Mohammad Suhail Meer is not only an emerging expert in environmental geospatial science but also a researcher with deep societal relevance, interdisciplinary vision, and technical innovation. Though he is at an early stage of his recognition journey (with formal awards yet to come), his work already reflects the qualities of excellence, originality, and impact that define a Best Researcher Award recipient.