Author

Tony Shi

Observed name: Shi, Tony

Institutions: University of Tennessee at Knoxville, University of Guelph

Observed institutions: University of Tennessee System, University of Tennessee at Knoxville, University of Guelph

ORCID: 0009-0009-4760-2635

Observed ORCID: 0009-0009-4760-2635

OpenAlex ID: A5104110442

AFSD-Nets: A Physics-Informed Machine Learning Model for Predicting the Temperature Evolution During Additive Friction Stir Deposition

2024 · Tony Shi, Jiajie Wu, et al. · Journal of Manufacturing Science and Engineering · 31

3D multiphysics modeling for probing the non-homogenous parameter distribution in proton exchange membrane electrolyzer cells

2024 · Weitian Wang, Jun Li, et al. · Energy Conversion and Management · 15

AFSD-Physics: Exploring the governing equations of temperature evolution during additive friction stir deposition by a human-AI teaming approach

2024 · Tony Shi, Mason Ma, et al. · Manufacturing Letters · 13

Compressive-Sensing-Assisted Mixed Integer Optimization for Dynamical System Discovery with Highly Noisy Data

2022 · Tony Shi, Mason Ma, et al. · Numerical Methods for Partial Differential Equations · 6

A cutting mechanics-based machine learning modeling method to discover governing equations of machining dynamics

2025 · Alisa Ren, Mason Ma, et al. · Manufacturing Letters · 3

Integration of discrete-event dynamics and machining dynamics for machine tool: Modeling, analysis and algorithms

2023 · Mason Ma, Alisa Ren, et al. · Manufacturing Letters · 3

An analytical model integrating tool kinematics and material flow for the spindle torque prediction in additive friction stir deposition

2025 · Jiajie Wu, Mason Ma, et al. · Manufacturing Letters · 2

Scalable Poincaré Map-Based Identification of Recurrent Orbits in Machining Dynamics

2026 · Tony Shi, Mason Ma, et al.

An Interpretable Machine Learning based Predictive Control Method for Manufacturing Processes with Turning as A Case Study

2026 · Mason Ma, Victor Wu, et al. · Manufacturing Letters

Electrochemical and In Situ FTIR Studies of Nanostructured SnBi Catalysts for Efficient CO 2 Conversion

2026 · Negar Sabouhanian, Jonathan Quintal, et al. · ACS Applied Energy Materials

A Physics-informed Machine Learning-based Control Method for Nonlinear Dynamic Systems with Highly Noisy Measurements

2023 · Ma, Mason, Wu, Jiajie, et al. · arXiv (Cornell University)

Generic Skills in Design Teams: Literature Review

2004 · Mary Lou Maher, Robin Drogemuller, et al.

Works count: 13

Citation count: 73

H-index: 4

I10-index: 3