Teaching
Teaching Assistant
SE 311: Engineering Design Analysis University of Illinois Urbana–Champaign
Main instructor: Prof. Krishnan Girish Spring 2026
- Delivered guest lectures on stress analysis, covering state of stress, stress transformation, principal stresses, and maximum shear stress, with emphasis on engineering applications and analytical problem solving
- Delivered exam review lectures covering elasticity, stress analysis, energy methods, and introductory finite element analysis, reinforcing systematic approaches to solving engineering mechanics problems
- Developed and delivered a virtual Abaqus tutorial for finite element analysis, guiding students through finite element modeling, post-processing, and project completion involving stress analysis and validation against analytical solutions
SE 411: Reliability Engineering University of Illinois Urbana–Champaign
Main instructor: Prof. Krishnan Girish Spring 2025
- Delivered guest lectures on reliability analysis and reliability-based design optimization (RBDO), covering problem formulation, algorithmic implementation, and engineering interpretation
- Designed an RBDO course project and mentored students on modeling, optimization algorithms, and coding implementation
- Led exam review sessions with structured problem-solving tutorials to reinforce core concepts and analytical skills
SE 450: Decision Analysis University of Illinois Urbana–Champaign
Main instructor: Prof. Pingfeng Wang Fall 2024, Fall 2025
- Contributed to undergraduate instruction by leading discussion sections and providing academic support via office hours
- Delivered exam review lectures covering multivariate decision making, decision trees, and uncertainty-based decision making, with an emphasis on systematic problem formulation and solution strategies
Rail Vehicle Systems Health Management Tongji University
Main instructor: Prof. Gang Niu Spring 2022
- Supported course delivery by assisting lectures and coordinating laboratory components for an undergraduate course
- Led laboratory sessions on bearing and gearbox test rigs, covering experimental setup, data acquisition, and signal processing
- Instructed students on vibration-based fault diagnosis using FFT, wavelet transforms, and machine learning methods