Bio and Research Statement
I am an experienced Aerospace Research Engineer at the Remote Sensing Center, The University of Alabama. I am very passionate about numerical methods and algorithms, and I have several years of experience in uncertainty quantification, stochastic optimization, machine learning/deep learning, composite structures, finite element analysis, and wind energy (aero-structural aspects).
Currently, I am working on a large scale aero-structural analysis of Twin-Otter and Basler aircraft with the installation of radar antennae for sounding ice using finite element analysis (FEA) and computational fluid dynamics (CFD). I am also actively involved in developing novel algorithms for uncertainty quantification and optimization as well as the application of ML/DL algorithms to challenging engineering problems. Some of the ML/DL algorithms that I have implemented in my research are k-means and spectral clustering, support vector machines based classification, long-short term memory based time series forecasting, and manifold learning/autoencoders based dimensionality reduction. To sum up, I am very inquisitive and passionate about computational approaches, and I want to grow more as a researcher and contribute to the paradigm shift from deterministic to probabilistic design in engineering. My long term goal is to join the academia so that I can impart my knowledge and train the new generation of engineers and scientists. |
Bevill Building, 1103L
The Remote Sensing Center, The University of Alabama, Tuscaloosa, AL 35401 Email: mthapa@crimson.ua.edu Phone: +12052390099 Linkedin, Researchgate, Google Scholar |
CV: cv_thapamishal2023.pdf