About
Sk. Mustak has received PhD in Geography from School of Studies in Geography, Pt. Ravishankar Shukla University, Raipur, India. His study focussed on Advanced Urban Growth Modeling, Urban Sprawling Monitoring, Fringe area Delineation using Remote Sensing and GIS technologies. He has received several research grants such as JRF and SRF under Maulana Azad National Fellowship(2009-2014) from UGC, New Delhi. Awarded UGC-NET-JRF (June 2014), UGC-NET-JRF (December 2014), UGC-NET (June 2015), UGC-NET (2012), WB-SET (2013), WB-SET (2014). Young Scientist Award (2013) from CGCOST, Raipur. International Travel Grant award from CGCOST, Raipur(2011); Pt. Ravishankar Shukla University, Raipur(2011), SERB, DST, Govt. of India (2013).
Employment
Employment history is unavailable.
Education
-
Pt. Ravishankar Shukla University Doctor of Philosophy (PhD)2009 - 2016
-
Pt. Ravishankar Shukla University Master of Philosophy (M. Phil.)2007 - 2008
-
Pt. Ravishankar Shukla University M.A. in Geography2005 - 2007
-
Vidyasagar University B.A. Honourse2002 - 2005
Projects & Funding
Projects & funding information is unavailable.
Publications (14)
- A Multi-scale Object-based Framework for Hierarchical Urban Land Use and Land Cover Classification Using Ensemble Machine Learning and Multi-source Geospatial Data Save
- Machine Learning-Based Spatial Assessment of the Impact of Urbanization and LULC Dynamics on Urban Ecological Health in the Kolkata Metropolitan Area Save
- Spatial assessment of soil health in the Krishna Delta using machine learning and land use patterns Save
- Global research trends in STEAM education: a bibliometric analysis Save
- SAR-based flood detection and different ensemble boosting techniques for multi-factor flood susceptibility modelling: a case study in Uttar Dinajpur, West Bengal, India Save
- Integrated flood risk-based land use mapping using machine learning and Geospatial technologies: a case study of Baleswar CD block, India Save
- Building Extraction of Kolkata Metropolitan Area Using Machine Learning and Earth Observation Datasets Save
- Multi-scenario based urban growth modeling and prediction using earth observation datasets towards urban policy improvement Save
- Delineation and classification of rural–urban fringe using geospatial technique and onboard DMSP–Operational Linescan System Save
- Modelling of land use land cover change using earth observation data-sets of Tons River Basin, Madhya Pradesh, India Save