Hey there! I'm Somnath Mondal, your friendly Hydroclimatic Extremes and Data Scientist currently rocking it as a Postdoctoral Scholar at Arizona State University. Picture this: I'm on a thrilling journey to decode the mind-boggling world of climate extremes and their wild dance with hydrology.
I've got a Ph.D. in Civil Engineering from Clemson University, where I geeked out on Complex Climate Extremes. My Master's in Water Resources Engineering from IIT Guwahati set the stage for my climatic adventures, and I kicked off my journey at Jadavpur University with a Bachelor's in Civil Engineering.
Buckle up for this ride: I'm all about flexing those brain muscles with Complex Network Analysis, Machine Learning, and Deep Learning. I've cracked codes that reveal the hidden stories of droughts, heatwaves, extreme rain dances, and other climate shenanigans across the map. I've even dived into the world of Big Data Analytics, using Bayesian magic to forecast weekly influenza like illness count considering climate conditions.
But wait, there's more! I'm not just about crunching numbers. I've dabbled in creating a Flood Level Early Warning System and have shared my wisdom as a Graduate Teaching Assistant at Clemson University.
When I'm not deciphering climate secrets, you might catch me teaching, working out, motorcycling or conversing fluently in languages like English, Bengali, Hindi, Punjabi, and even a bit of German – the perks of being a global climate detective.
Join me on this roller-coaster of unraveling climate mysteries and diving deep into the wild world of Hydroclimatic Extremes. Let's geek out together!
Ph.D. in Civil Engineering (Research Focus: Complex Climate Extremes), Clemson University, SC (2018 - Present)
M.E. in Civil Engineering (Specialization: Water Resources Engineering), Indian Institute of Technology (IIT), Guwahati (2014 - 2016)
B.E. in Civil Engineering, Jadavpur University, Kolkata, India (2010 - 2014)
Climate Extremes: Investigating the complex dynamics of climate extremes and their far-reaching impacts on hydrological systems.
Complex Network Analysis in Climate: Unveiling hidden relationships and patterns within climatic data through advanced network analysis techniques.
Machine Learning: Applying machine learning algorithms to gain insights into climate phenomena and predict extreme events.
Deep Learning: Exploring the potential of deep learning models to enhance our understanding of climate patterns and their interactions.
Big Data Analytics for Hydrometeorological Analysis: Utilizing big data analytics methodologies to extract valuable information from vast climatic datasets.
Bayesian Statistics: Employing Bayesian statistical methods to quantify uncertainties and enhance the accuracy of climate predictions.
Hydrological Modeling: Utilizing semi-distributed or distributed hydrological models like Hec-HMS, SWAT, Hec-RAS, and EPANET to simulate and analyze water-related processes.
Mondal, S., K. Mishra, A., Leung, R. et al. Global droughts connected by linkages between drought
hubs. Nature Communications 14, 144 (2023). https://doi.org/10.1038/s41467-022-35531-8
Mondal, S., & Mishra, A. K. (2021). Complex Networks Reveal Heatwave Patterns and
Propagations Over the USA. Geophysical Research Letters, 48(2),
https://doi.org/10.1029/2020GL090411
Mondal, S., Mishra, A. K., & Leung, L. R. (2020). Spatiotemporal Characteristics and
Propagation of Summer Extreme Precipitation Events Over United States: A Complex
Network Analysis. Geophysical Research Letters, 47(15),
https://doi.org/10.1029/2020GL088185
Konapala, G., Mondal, S. & Mishra, A. Quantifying Spatial Drought Propagation Potential in
North America Using Complex Network Theory. Water Resources Research, e2021WR030914
(2022). https://doi.org/10.1029/2021WR03091
Mondal, S., Mishra A. K., (2023). “Exploring Control of soil moisture, precipitation and evapotranspiration on the Global Hydrological Cycle: A two-layer Network Analysis”; Submitted to Water Resources Research (Currently under Review)
My Article (https://doi.org/10.1038/s41467-022-35531-8) in Nature Communication got featured by ScienceNews (https://www.sciencenews.org/article/climate-teleconnections-droughts-fi…)
My Article (https://doi.org/10.1038/s41467-022-35531-8) in Nature Communication got selected as editor’s featured article in Nature Communications (https://www.nature.com/collections/hcfhgcahdc)
Selected as 'Outstanding Graduate Research Assistant' for the year 2023 by Glenn Department of Civil Engineering, Clemson University
Were in the top 1 percentile in all the entrance exams that I appeared in
American Geophysical Union (AGU)
American Society of Civil Engineers (ASCE)
Research Fellow in North Eastern Space Applications Center (NESAC), Department of Space, Govt. of India (2017-2018)
Graduate Research/Teaching Assistant Clemson University (2018-2023)
Hydroclimatic Extremes and Data Scientist in Arizona State University (2023-Present)
Taken active involvement in Installing Water Filters for the housings of Security Guards in Indian Institute of Technology, Guwahati
Started Educational Center (Sky-Scalers) exclusively for poor and less-privileged in Kishanganj, Bihar, India. The idea was to provide equal level playing ground to every children (in context of education) irrespective how much their parents can afford