Fayma Mushtaq is working as Geospatial Analyst at Department of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir. She is an adept GIS professional with Post-Doctorate in Remote Sensing & GIS. She graduated with an M.Sc. in Remote Sensing & GIS from Jiwaji University, Gwalior, as gold medalist. She earned her Ph.D. degree from Department of Remote sensing, Birla Institute of Technology Mesra, Ranchi. She utilizes Geospatial technologies and analytical methods to conduct innovative research, develop solutions, and work with stakeholders to address the complex environmental issues. She has 11 publications in reputed International Peer Reviewed Journals besides having 7 conference publications, 2 book chapters and 5 scientific reports to her credit. Her expertise and research interests include Spatial Analysis and Modelling (Predictive / Regression), Image Processing Climate Change Vulnerability and Risk Assessment, Water Quality Assessment, Lightning Activity Studies, Policy Documentation, etc.

Majid Farooq is Scientist with the Department of Ecology, Environment and Remote Sensing, Government of Jammu and Kashmir. He is proficient GIS professional with Ph.D. in Geoinformatics having extensive experience in geospatial technology and climate change spanning over 17 years. He did his M.Tech in Remote Sensing and GIS from SRM University Chennai, and M.Sc. in Ecology & Environment. He has produced high-quality knowledge research reports and publications for addressing complex environmental issues to diverse audiences. He has more than 45 publications in reputed National and International Peer Reviewed Journals besides having 4 books and 7 book chapters to his credit. His research interests include Climate Change Modelling, Vulnerability and Risk Assessment, Spatial Analysis and Modelling, Forest, Wildlife, Disaster Management, Environmental Planning and Policy Design and Documentation.

Alok Bhushan Mukherjee is associated with Leads NexTech India Pvt. Ltd. as a Co-Founder and Director - Product, Research & Analytics. He has done his M.Sc in information science, M.Tech in Remote Sensing, P.hD in Remote Sensing from Birla Institute of Technology, Mesra Ranchi. Previously at LeadsConnect Services Private Limited as Chief Remote Sensing-GIS Analyst he has been involved in developing Space/Earth-Tech Analytics models for investigating various aspects of the Earth System using Mathematical / Statistical, and AI /ML frameworks. His technical strength is in the domain of Land System Ecology, Agro-Ecology, Climate & Disaster Risk Management, Sustainability Analytics, Mathematical & Statistical Modelling, Scientific Computing, Machine Learning, Causal AI & Computational Anthropology. He has written Research-Based / Conference Articles, Books (Authored, Edited) & Analytical Stories.

Mili Ghosh Nee Lala is an Associate Professor in the Department of Remote Sensing, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India. She did her M.Sc in Physics from T.M. Bhagalpur University, M.Tech in Remote Sensing from Birla Institute of Technology, Mesra Ranchi. With 14 years of teaching experience and a remarkable 20-year research journey, she holds Ph.D. degree from Department of Civil Engineering (Geomatics Section), Indian Institute of Technology, Roorkee. With a profound interest in planetary science, she has also led remarkable research endeavors in the estimation of Martian Surface temperature using Thermal Infrared Spectrometer (TIS) data. Her work delved into assessing the inter-annual variability of Martian surface temperature within the current Martian climate, aligned with morphological units derived from the Mars Colour Camera (MCC) data. This groundbreaking study was undertaken under the aegis of ISRO, Bangalore, showcasing her expertise in planetary climatology and remote sensing. Her research interests include Environmental Modeling, GIS based Rural Planning and Planetary Remote Sensing. She has published 22 research papers in peer-reviewed journals, 26 conference and 6 book chapters.

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Geospatial Analytics for Environmental Pollution Modeling (eng)

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