My name is Arunabh Ghosh, and I am a senior undergraduate in the Department of Electrical Engineering at IIT Bombay. I am also pursuing a minor degree in Computer Science & Engineering.
I am particularly interested in the fields of compressed sensing and medical image processing and their applications to statistical inverse problems such as biomedical imaging and low-rank matrix recovery. The overall aim of my research has been to contribute to the field of biomedical imaging by helping visualize the structures of biological molecules in high-resolution which could be used for addressing fundamental questions in biomedicine. Visualizing molecular structures in incredible detail is decisive for both the basic understanding of life’s chemistry and for the development of pharmaceuticals.
My bachelor thesis, under the guidance of Professor Ajit Rajwade aims to address the case of heterogeneity and symmetry in tomographic reconstruction. Previously, I have worked with him on the problem of reconstructing an object from its tomographic projections at unknown angles, in the presence of pathological amounts of noise and outliers. Solving this problem would help eliminate a critical bottleneck in the field of cryo-electron microscopy (cryo-em) – a new biomedical imaging technique which allows us to portray astonishing structures of life’s molecular machinery at atomic resolution.
In the summer of 2018, I had the opportunity to work at École Polytechnique Fédérale de Lausanne (EPFL) under Professor Victor Panaretos, the Chair of Mathematical Statistics. In 2017, I was selected for the prestigious Google Summer of Code program (7% acceptance rate) where I created Oppia’s first learner dashboard, benefiting over hundred thousand learners around the world.
In my spare time, I can often be found tinkering with open-source software and electronics. Over the years, I have created many useful tools such as a website to help people write Jekyll blogs and a platform for developing augmented reality games (Winner of the Best Tech Prize at Yahoo! Hackathon). As an electronics electronics and robotics hobbyist I have written numberous tutorials like the one on Raspberry Pi and Motion Processing Unit and built robots which can automatically the environment around them.