Ph.D Candidate, Civil and Environmental Engineering (2019 – present)
M.S., Mechanical Engineering, University of Michigan – Ann Arbor (2016)
B.S., Automotive Engineering, Hunan University, China (2014)
Research Interests – I mainly focus on exploring the potentiality of combining Machine Learning techniques with our knowledge in physics and engineering, especially in composite structural analysis. My research area covers structural analysis, diagnostics and optimization with Deep Learning and Reinforcement Learning. Besides, I am also interested in developing Machine Learning techniques to unveil the complex/coupled physical properties within structures.
SABARINATHAN P SUBRAMANIYAN
Ph.D Candidate, Civil and Environmental Engineering (Fall 2019 – Present)
M.S., Mechanical Engineering, University of Texas- Artlington (Fall 2019)
B.E., Mechanical Engineering, Anna University, India (2015)
Primary Research – Developing Multi-scale and Multi-physics modeling to understand the influence of extreme environment in the degradation of heterogeneous material.
HRIDYESH R. TEWANI
Ph.D. Student, Civil and Environmental Engineering (2021 – Present)
M.Sc., Composites (Aeronautics), Imperial College London (2019)
B.E. (Hons.), Civil Engineering, BITS Pilani, India (2017)
Research Interests – I am particularly interested in investigating the mechanisms by which composite/lightweight materials fail under impact loading. Another line of inquiry that I pursue involves building computational models to predict material behavior. My work is also focused on investigating the mechanics of origami-inspired composite structures with an aim to make them self-deployable. When I am not at work you can find me engaging one of four “stress unloading protocols” – photography, cooking, watching Formula One/European football.