I am Shaik Mohammad Imran. I am a Civil Engineering graduate from Osmania University & completed M.Tech in Geoinformatics from NIT Bhopal.
Currently, I am pursuing my Ph.D. from NIT Andhra Pradesh and also working as an Assistant Professor in the civil engineering department of Methodist college of Engineering and Technology in Hyderabad. My Ph.D. research is on “Super-resolution of satellite imageries for real-time civil engineering applications”, wherein I need to use both my core domain knowledge and machine learning and deep learning techniques to achieve results.
As a non-IT background, I have zero skill in basic python coding and barely any idea of Machine learning and Deep learning. After learning the modules in this AIML course, firstly, I understood the terminology of my literature review regarding computer vision and other Super Resolution network structures.
Currently, I am using Convolutional Neural Networks to develop the satellite image super-resolution (SR) model.
After developing the SR image, I could generate much better spatial resolution imageries that directly contribute to real-time applications & indirectly reduce the cost of purchasing high-resolution images. The following scope of my research is to use Generative Adversarial Networks to gain much more accurate SR images.
The main agenda of generating SR satellite imageries is to serve with high resolution in diversified purposes like land use land cover mappings, forestry and agricultural applications, urban planning & mapping, hydrological applications, etc.
Applying the sophisticated deep learning techniques in my research helped me to increase my research & also to achieve my results faster with great accuracy. Being a multi-disciplinary approach, my research (SR images) is also helping other streams of my department in their areas of interest, giving me a unique identity and appreciation from my research supervisor.
