CV
General Information
| Full Name | Siddharth Nair |
| Research Interests | Computational mechanics, Wave propagation, Acoustics, Scientific machine learning, Deep learning |
Education
-
2020-Present PhD in Mechanical Engineering
Purdue University - USA - Thesis- Scientific machine learning frameworks for material design and structural health monitoring.
-
2017-2019 MS in Aeronautical Engineering
Purdue University - USA - Thesis- Nonlocal acoustic black hole metastructures- Achieving ultralow frequency and broadband vibration attenuation.
-
2013-2017 B.Tech in Mechanical Engineering
Vellore Institute of Technology (VIT), Chennai - India - Capstone Project- Noise reduction techniques for micropropellors of unmanned aerial vehicle (UAV) at CSIR-NAL.
Experience
-
2018-Present Graduate Research Assistant
Ray W. Herrick Laboratories, Purdue University - USA - PhD
- Developed physics-driven machine learning-based computational models to solve forward and inverse engineering problems in material design and structural health monitoring.
- MS
- Developed a novel low-frequency vibration attenuation approach using acoustic black holes (ABHs) in thin structures.
- PhD
-
2021, 2023-Present Graduate Teaching Assistant
School of Mechanical Engineering, Purdue University - USA - Undergraduate courses- ME270 Basic Mechanics-I, ME274 Basic Mechanics-II
- Graduate courses- ME562 Advanced Dynamics, ME650 Computational Fracture Mechanics
-
Summer 2018 Aerospace Associate Intern
Airspace Experience Technologies (ASX), Detroit - USA - Worked as structural and CFD engineering intern for the development of a prototype model of vertical take-off and landing (VTOL) aircraft.
-
Spring 2017 Project Trainee Intern
CSIR National Aerospace Laboratories, Bangalore - India - Worked on the design and analysis of propeller blades to develop noise reduction techniques in unmanned aerial vehicles (UAVs).