Examination ScholarshipProgrammes

Dr. Pankaj Prasad

ppankaj.earthscience@gmail.com
9883329432
Geography
male

Dr. Pankaj Prasad

Assistant Professor
Education - MSc, PhD (Earth Science)
Area of Interest - Geomorphology, Oceanography, Holocene sea-level, Remote Sensing Artificial Intelligence; Ground Penetrating Radar
Research
Academic/Administrative Responsibilities
Awards
Workshop Attended/ Conducted
Other Informations

Publications

  • Prasad, P.,Loveson, V.J., Kumar, V., Shukla, A.D., Chandra, P., Verma, S., Yadav, R., Magotra, R. and Tirodkar, G.M., 2023. Reconstruction of Holocene relative sea-level from beach ridges of the central west coast of India using GPR and OSL dating. Geomorphology 442: 108914.
  • Prasad, P.,Loveson, V.J., Kotha, M. and Yadav, R., 2020. Application of machine learning techniques in groundwater potential mapping along the west coast of India. GIScience& Remote Sensing, 57(6), 735-752. https://doi.org/10.1080/15481603.2020.1794104
  • Prasad, P.,Loveson, V.J., Chandra, P. and Kotha, M 2022. Evaluation and Comparison of the Landsat-8, Sentinel-1, Sentinel-2, LISS III, and LISS IV sensors in land cover/land use studies. Ecological Informatics, 68, 101522 https://doi.org/10.1016/j.ecoinf.2021.101522
  • Prasad, P.,Loveson, V.J., Das, B., and Kotha, M 2021. Novel Ensemble Machine Learning Models in Flood Susceptibility Mapping. Geocarto International, 37:16, 4571-4593 https://doi.org/10.1080/10106049.2021.1892209
  • Prasad, P.,Loveson, V.J., Mondal, S., and Chandra, P 2023. Multi-resource potentiality and multi-hazard susceptibility assessments of the central west coast of India applying machine learning and geospatial techniques. Environmental Earth Sciences, 82, 226. https://doi.org/10.1007/s12665-023-10901-7 
  • Prasad, P.,Loveson, V.J., Das, S., and Chandra, P 2021. Artificial intelligence approaches for spatial prediction of landslides in Western Ghats of India. Environmental Earth Sciences 80: 720. https://doi.org/10.1007/s12665-021-10033-w
  • Prasad, P.,Loveson, V.J., and Kotha, M. 2023. Probabilistic wetland mapping with integration of optical, SAR and hydro-geomorphic data through stacking ensemble machine learning model. Ecological Informatics. https://doi.org/10.1016/j.ecoinf.2023.102273
  • Prasad, P., and V J Loveson, 2020. Signature of buried channels as deduced from subsurface GPR survey at Southwest coast of Tamil Nadu, India. Arabian Journal of Geosciences, 13, 1-12. DOI:1007/s12517-020-05439-y
  • Shivakrishna, A., Ramteke, K.K., Kesavan, S.,Prasad, P., Naidu, B.C., Dhanya, M. and Abidi, Z.J., 2021. Monitoring of current land use pattern of Ramsar designated Kolleru Wetland, India using geospatial technologies. Journal of Environmental Biology, 42(1106-111). http://doi.org/10.22438/jeb/42/1/MRN-1404
  • Nigam, R., Luis, A.J., Prasad, P.,Kuttikar, S., Yadav, R., Vaz, E. and Kotha, M., 2022. Spatio-temporal assessment of COVID-19 lockdown impact on beach litter status and composition in Goa, India. Marine Pollution Bulletin, 174, 113293.https://doi.org/10.1016/j.marpolbul.2021.113293 
  • Kulimushi, L.C., Bashagaluke, J.B., Prasad, P., Heri-Kazi, A.B., Kushwaha, N.L., Masroor, M., Choudhari, P., Elbeltagi, A., Sajjad, H. and Mohammed, S., 2023. Soil erosion susceptibility mapping using ensemble machine learning models: A case study of upper Congo river sub-basin. Catena, 222, p.106858. https://doi.org/10.1016/j.catena.2022.106858 
  • Thorat, B.R., Prasad, P. and Ram, A., 2023. Heavy metal accumulation in a moderately polluted Ulhas estuary, Western India. Regional Studies in Marine Science, 60, 102818. https://doi.org/10.1016/j.rsma.2023.102818

Project Experience

  • Working on the project 'Multi-Source Optimization Using Deep Learning Framework for Downscaling Satellite-Derived Thermal Data,' at the Birla Institute of Technology (Department of Computer Science and Engineering) sponsored by SERB-CRG (DST).
  • Working on the project "Geomorphological Sand Mining of Goa State" at CSIR-NIO (Department of Geological Oceanography) sponsored by the Government of Goa.
  • Working on the project "Submarine Groundwater Discharge of India" at CSIR-NIO (Department of Geological Oceanography) sponsored by the Ministry of Earth Sciences.
  • Worked on the project "Geo-archaeological investigation to assess the existence and reconstruction of an ancient port at Gopakapattanam, Goa: scientific and cultural aspects" at CSIR-NIO (Geological Oceanography) sponsored by the Ministry of Earth Sciences
  • Worked on the project "Scientific study on beach sand and budgeting from Valliyar to Melmidalam" at CSIR-NIO (Department of Geological Oceanography) sponsored by the Indian Rare Earth Limited.

PhD Students

  • Jyotisikha Sarmah (Ongoing)
  • Debashis Gogoi (Ongoing)

Reviewer of Peer review International Journals

  • Scientific Report (Nature)
  • Journal of Flood Management (Willey)
  • Geomatics, Natural Hazards and Risk (Taylor & Francis)
  • Geocarto International (Taylor & Francis)
  • Environmental Earth Sciences (Springer)
  • Stochastic Environmental Research and Risk Assessment (Springer)
  • Geosystems and Geoenvironment (Elsevier)
  • Environmental Monitoring and Assessment (Springer)
  • Indian Society of Remote Sensing (Springer)
  • Acta Geophysica (Springer)
  • ICBAB (International Conference on Biofouling and Ballast Water Management) Silver medal for best paper award in 2021.
  • Geeta Mukhopadhyay Gold medal award for best PhD thesis award at CSIR-National Institute of Oceanography, 2022
  • Junior Research fellow (NET) of University Grant Commission, India with fellowship for PhD Programme.

Conferences

  • Prasad, P.,Loveson, V.J., and Kotha, M (2019).A comparative assessment of statistical and machine learning models for flash flood susceptibility mapping at Sindhudurg coast, Maharashtra, India. International Symposium on ‘Advances in Coastal Research with special reference to Indo Pacific, Chennai, India.
  • Prasad, P., and V J Loveson (2020). Landslide susceptibility mapping using GIS based machine learning algorithms in the north Western Ghats of India. 4th Disaster Risk and Vulnerability Conference, Kerala, India.
  • Prasad, P.,Loveson, V.J., Kotha, M. and Yadav, R., (2020). Application of GIS based graph neural networks in groundwater potential mapping. International Conference on Graph Labeling and Applications, Goa, India.

 Training

  • Three months Certificate Course on "Remote Sensing, GIS & GNSS" by Indian Institute of Remote Sensing, ISRO.
  • Participated in two week day Certificate Course on Microwave Remote Sensing and applicationorganised by National Remote Sensing Centre (ISRO) Hyderabad, India,17-28April, 2017.
  • Participated in 2 months Certificate course on "Application in Remote Sensing" at Indian Institute of Remote Sensing, Dehradun organised by Indian Space Research Organisation.
  • Participated in INQUA Meet, jointly organized by the "INQUA and Indian Quaternary Group",
  • Participated in a 5 day workshop onHigh Performence Computing”, jointly organized by the Centre for Development of advanced computing and Goa University, 28 Jan-1st Feb 2019.

Membership

  • Lifetime member of Indian Society of Remote Sensing.
  • Lifetime member of Indian Science Congress.