Kanak Kanti Kar
Graduate Research and Teaching Assistant (PhD Candidate)
Roy Research Group, Civil and Environmental Engineering Dept.,
University of Nebraska-Lincoln, USA
E-mail: kkar2@huskers.unl.edu; kanakwater@gmail.com
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My name is Kanak Kanti Kar, and I was born in one of the peak monsoon seasons when Bangladesh received extreme rainfall and floods throughout the country. As a kid growing up near the bank of Fuljhor River (a Tributary of Jamuna River in Bangladesh), my mindset and thrills were easily waved by the sights created by the rivers and their hydraulics over the years. It is where I was deeply confronted with the riverbank erosion problems as I saw my home eroded and grasped by the mighty river, which led to my family’s early migration towards the capital of Bangladesh, Dhaka. These effects not only changed my past but also, as I was growing up and educating myself, further shaped my academic interests and research intellect. I realized an applied bent and budding interest in the extreme hydrological characteristics of the environment. Today, these factors motivate me to pursue graduate-level studies in Civil Engineering, with a special emphasis on Water Resources Engineering. Luckily, I had the opportunity to meet and collaborate with many researchers affiliated with hydrology, applied climatology, agriculture, ecology and sociology; the rest is history. It turned out to be a good fit. Water resources engineering is linked with the branches of basic physical sciences, including watershed functions, earth and atmospheric science; geology, geography, and even social sciences.
I have been working as a graduate research and teaching assistant (followed by a Ph.D. degree) in Water Resources Engineering under the Department of Civil and Environmental Engineering at the University of Nebraska-Lincoln, USA, since July 2021. My research interest focuses on ephemeral hydrology, catchment hydrology, river management, hydro-climatology, hydrological extremes (e.g., floods, drought, rain-on-snow, etc.), and hazard/risk management. I possess a unique blend of expertise in machine learning (ML), statistical analysis, high-performance computing, and remote sensing image analysis. I always try to combine the earth's technological and physical components to depict a holistic picture of solving problems.