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I’m Shaik Mohammad Imran. I’m a Civil Engineering graduate from Osmania College & accomplished M.Tech in Geoinformatics from NIT Bhopal.
At present, I’m pursuing my Ph.D. from NIT Andhra Pradesh and in addition working as an Assistant Professor within the civil engineering division of Methodist faculty of Engineering and Know-how in Hyderabad. My Ph.D. analysis is on “Tremendous-resolution of satellite tv for pc imageries for real-time civil engineering purposes”, whereby I would like to make use of each my core area information and machine studying and deep studying methods to attain outcomes.
As a non-IT background, I’ve zero talent in fundamental python coding and barely any thought of Machine studying and Deep studying. After studying the modules on this AIML course, firstly, I understood the terminology of my literature evaluate relating to laptop imaginative and prescient and different Tremendous Decision community buildings.
At present, I’m utilizing Convolutional Neural Networks to develop the satellite tv for pc picture super-resolution (SR) mannequin.
After creating the SR picture, I may generate significantly better spatial decision imageries that immediately contribute to real-time purposes & not directly cut back the price of buying high-resolution photographs. The next scope of my analysis is to make use of Generative Adversarial Networks to realize rather more correct SR photographs.
The primary agenda of producing SR satellite tv for pc imageries is to serve with excessive decision in diversified functions like land use land cowl mappings, forestry and agricultural purposes, city planning & mapping, hydrological purposes, and many others.
Making use of the subtle deep studying methods in my analysis helped me to extend my analysis & additionally to attain my outcomes sooner with nice accuracy. Being a multi-disciplinary strategy, my analysis (SR photographs) can also be serving to different streams of my division of their areas of curiosity, giving me a singular id and appreciation from my analysis supervisor.
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