My research interests are broad in nature, mainly focussing on the application of machine learning to different areas of science and technology. I do more application-level research than theoretical.
I have a deep interest in how artificial intelligence can benefit the betterment of the community through functional and ethical applications.
My current areas of focus are Computer Vision, Knowledge Graphs, and Natural language Processing. I also love engaging with students and other researchers to work on novel science problems.
"Knowledge Graphs of Mergers and Acquisitions", International Conference on Emerging Smart Computing and Informatics (2021)
"Detection of bars in galaxies using a deep convolutional neural network", Monthly Notices of the Royal Astronomical Society (2018)
"Classifying Radio Galaxies with Convolutional Neural Network", The Astrophysical Journal Supplement Series (2017)