SK ARIFUL HOSSAIN

About

Mr. SK Ariful Hossain is working as Senior Researcher in the Physical Oceanographic Division (POD) at the CSIR-National Institute of Oceanography, Goa, India. His research expertise spans Artificial Intelligence (AI), Machine Learning (ML), and Earth Observation (EO) applied to Tropical Ocean and coastal environments. He specializes in modeling oceanic and coastal processes, analyzing global climate change and extreme climatic events, advancing ocean color remote sensing, and developing bio-optical and coastal water quality models. His research also encompasses coastal geomorphology, coral reef island morphodynamics, and the carbon sequestration potential of blue carbon ecosystems, nature-based solutions, and contributions to the United Nations Sustainable Development Goals. Mr. Hossain has previously served as a Junior Research Fellow (JRF) and Senior Research Fellow (SRF) at prestigious institutions including the Indian Space Research Organization (ISRO), The Energy and Resources Institute (TERI), New Delhi, Jadavpur University, Kolkata, the Indian Institute of Science (IISc) Bangalore, and the Indian National Centre for Ocean Information Services (INCOIS), Hyderabad. He is a life member of several scientific organizations, including the Ocean Society of India (OSI), the Indian Meteorological Society (IMS), the Indian Society of Remote Sensing (ISRS), the Indian Society of Geomatics (ISG), and the Mangrove Society of India (MSI).

Employment

• CSIR- NATIONAL INSTITUTE OF OCEANOGRAPHY Senior Researcher

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (20)

• Air pollution and respiratory health risks in Jharkhand: a remote sensing and statistical approach
  Environmental Monitoring and Assessment 2025 DOI: 10.1007/s10661-025-13976-w
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• Variability of bio-optical properties of Sundarbans mangrove estuarine ecosystem using elemental analysis, Sentinel 3 OLCI imageries and neural network models
  Advances in Space Research 2025 DOI: 10.1016/j.asr.2024.10.059
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• Remote sensing and GIS techniques for investigating air pollution’s impact on major crop yields
  Environment Development and Sustainability 2025 DOI: 10.1007/s10668-025-06117-3
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• Potential effects of projected global sea level rise on Sundarbans mangrove wetland ecosystem: insights from SLAMM and hybrid machine learning models
  Environment Development and Sustainability 2025 DOI: 10.1007/s10668-025-06193-5
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• Mitigating coastal flood risks in the Sundarbans: A combined InVEST and machine learning approach
  Physics and Chemistry of the Earth 2025 DOI: 10.1016/j.pce.2025.103855
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• Impacts of climate change on the morphodynamics of embayed beaches along the Central West Coast of India
  Marine Geology 2025 DOI: 10.1016/j.margeo.2025.107590
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• Evaluation of the spatiotemporal changes in ecological quality and public health status: a case study of Jharkhand State in India
  Environment Development and Sustainability 2025 DOI: 10.1007/s10668-025-06285-2
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• Evaluating the effects of rapid urbanization on the encroachment of the east Kolkata Wetland ecosystem: a remote sensing and hybrid machine learning approach
  Environment Development and Sustainability 2025 DOI: 10.1007/s10668-024-05832-7
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• Coastal vulnerability assessment for the Sundarbans mangrove ecosystem using InVEST and machine learning-based empirical models
  Environment Development and Sustainability 2025 DOI: 10.1007/s10668-025-06414-x
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• Climate change-induced vulnerability assessment for the Florida Coast using hybrid machine learning models
  Ecological Indicators 2025 DOI: 10.1016/j.ecolind.2025.113242
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