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    Mukul Kumar

    Atmospheric Modeling @ NCAP-COALESCE - Data Assimilation - Machine Learning - IIT Kharagpur

    Mukul Kumar is a final year MS (by research) student at the Indian Institute of Technology Kharagpur, India, specializing in Aerosols and the hydrological cycle.

    With around four years of research experience, Mukul has a deep understanding of atmospheric chemical transport models, with skills in python programming, shell scripting, and coursework in machine learning.

    His thesis work involved using a coupled modelling set-up (WRF-CHIMERE-OPTSIM) to enhance meteorological forecasting over the Indian subcontinent, simulate aerosol parameters accurately, and analyze inter-seasonal and spatial variations in aerosol concentrations.

    He has also evaluated the contribution of dust and anthropogenic aerosols to aerosol optical depth over India during specific seasons.

    As a research intern, Mukul tested machine learning algorithms for predicting forest fire intensity and is actively seeking opportunities in research groups focusing on climate change mitigation and sustainable development.

    Mukul Kumar
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    Location

    Kolkata, West Bengal, India