Abhishek Ghosh

About

Abhishek Ghosh
(Assistant Professor
Department of Geography
NEHU, Shillong, Meghalaya, India)

Education and research background:

1. 2010-2012: M.A. (Marks in % - 73%) in Geography from Geography Department of the Visva- Bharati University.
2. 01/04/2013 - 20/10/2017: PhD from Department of Geography Visva Bharati University. Santiniketan, W.B, India.
3. 21/06/2018 – 08/08/2021: Awarded UGC- D R DS KOTHARI POST DOCTORAL FELLOWSHIP. 15th June 2018 (Duration: 3 years). Completed postdoctoral research from the Department of Geography. of Vidyasagar University, WB, India.


Research interest of Abhishek Ghosh:

1. Vulnerability and risk assessment related to flood hazard.
2.Monitoring morphological and ecological quality of rivers and springs.

Research area of Abhishek Ghosh:

1.Lower Gangetic plain of Eastern India.
2.Fluvial dynamics of the Bengal Basin, Eastern India.
3.Natural springs of North-Eastern Hilly States of India

Employment

• NEHU Assistant Professor
  2023 - Present
• North Eastern Hill University Guest Lecturer
  2022 - 2023
• Vidyasagar University POST DOCTORAL FELLOW (DR D S KOTHARI POSTDOCTORAL FELLOW) - NORMAL.No.F.4-2/2006(BSR)/OT/17-18/0031 June 15 2018. 76th list
  2018 - 2021

Education

• Visva-Bharati M.A. in Geography
  2010 - 2012
• Visva-Bharati B.A. (Hons.) Geography
  2007 - 2010

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• A century of channel morphological adjustments in the western Bengal Basin: insights from the Mayurakshi River in Eastern India
  Geomorphology 2026 DOI: 10.1016/j.geomorph.2026.110279
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• Assessment of geomorphic status and recovery potential in anthropogenically altered river of Eastern India
  Physical Geography 2024 DOI: 10.1080/02723646.2024.2358572
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• Spring water suitable and vulnerable watershed demarcation using AHP-TOPSIS and AHP-VIKOR models: study on Aizawl district of North-Eastern hilly state of Mizoram, India
  Environmental Earth Sciences 2023 DOI: 10.1007/s12665-023-10766-w
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• Application of SWAT, Random Forest and artificial neural network models for sediment yield estimation and prediction of gully erosion susceptible zones: study on Mayurakshi River Basin of Eastern India
  Geocarto International 2022 DOI: 10.1080/10106049.2021.2022016
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• Development of new composite index on channel sensitivity using AHP, FR and ensemble model and its application on the Mayurakshi river of Eastern India
  International Journal of River Basin Management 2022 DOI: 10.1080/15715124.2021.1879092
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• Integration of RS-GIS with Frequency Ratio, Fuzzy Logic, Logistic Regression and Decision Tree Models for Flood Susceptibility Prediction in Lower Gangetic Plain: A Study on Malda District of West Bengal, India
  Journal of the Indian Society of Remote Sensing 2022 DOI: 10.1007/s12524-022-01560-5
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• Soil erosion susceptibility assessment using logistic regression, decision tree and random forest: study on the Mayurakshi river basin of Eastern India
  Environmental Earth Sciences 2021 DOI: 10.1007/s12665-021-09631-5
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• Flood Severity assessment of the coastal tract situated between Muriganga and Saptamukhi estuaries of Sundarban delta of India using Frequency Ratio (FR), Fuzzy Logic (FL), Logistic Regression (LR) and Random Forest (RF) models
  Regional Studies in Marine Science 2021 DOI: 10.1016/j.rsma.2021.101624
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• Development of new Ecological Susceptibility Index (ESI) for monitoring ecological risk of river corridor using F-AHP and AHP and its application on the Mayurakshi river of Eastern India
  Ecological Informatics 2021 DOI: 10.1016/j.ecoinf.2021.101318
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• Flood Severity assessment of the coastal tract situated between Muriganga and Saptamukhi estuaries of Sundarban delta of India using Frequency Ratio (FR), Fuzzy Logic (FL), Logistic Regression (LR) and Random Forest (RF) models
  Regional Studies in Marine Science 2021
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