Dr Abhilash Singh
- Position: Research Fellow
- Areas of expertise: Physics-informed machine learning; Automated machine learning (AutoML); Remote sensing and hydrology; Soil moisture
- Email: A.Singh4@leeds.ac.uk
- Location: 9.30 School of Mathematics
- Website: Personal webpage | CV | Twitter | LinkedIn | Googlescholar | Researchgate | ORCID
Profile
I am a Research Fellow in the School of Mathematics, specifically the Department of Applied Mathematics, at the University of Leeds. I received my PhD from the Indian Institute of Science Education and Research Bhopal, India. My research interests lie in coupling advanced machine-learning algorithms with satellite imagery to enhance satellite observations and developing innovative machine-learning solutions for critical issues in hydrology. I am an active member of the European Geosciences Union (EGU), the American Geophysical Union (AGU), the International Society for Photogrammetry and Remote Sensing (ISPRS), and the Indian Radio Science Society (InRaSS). I have been honoured with the Vice-Chancellor Gold Medal for securing the first rank in both my bachelor’s and master’s programs. I was awarded the prestigious ”DST-INSPIRE” Fellowship by the Department of Science and Technology, Ministry of Science and Technology, Government of India, to pursue my doctoral studies. I have also received the DAAD Fellowship and several grants from AGU and EGU (e.g., Lloyd V. Berkner Fellowship, Roland Schlich Travel Support, etc.).
<h4>Research projects</h4> <p>Some research projects I'm currently working on, or have worked on, will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>Qualifications
- PhD in Remote Sensing and Hydrology, Indian Institute of Science Education and Research Bhopal
- Integrated M.Tech. in Electronics and Communication Engineering