Teaching Experience

[T1] ISyE 415 · Introduction to Manufacturing Systems Design and Analysis. University of Wisconsin–Madison. 2022. Teaching Assistant

[T2] ISyE 510 · Facility Planning. University of Wisconsin–Madison. 2023. Teaching Assistant

[T3] ISyE 510 · Facility Planning. University of Wisconsin–Madison. 2024. Teaching Assistant

• 2025–2026 Early Excellence in Teaching Award, UW–Madison.

Lectures & Workshops

Delivered at the IoT Systems & Research Center, UW–Madison. All sessions had 22–25 attendees.

[W1] Tutorial on Pre-Trained AI Models with Hugging Face. August 2023. Workshop

• Introduction to deep learning models

• Image processing & object detection

• NLP for customer feedback

• Image captioning with GPT-2

[W2] Tutorial on Reinforcement Learning with Python. January 2024. Workshop

• MDPs

• Basics of RL and deep RL

• Application of MDP & RL for maintenance decision-making

[W3] Tutorial on PyTorch Framework for Machine Learning. May 2024. Workshop

• Tensors, Autograd

• Deep learning applications

• Transfer learning

• Customizing DL tasks

• Solving PDEs/ODEs with PyTorch

[W4] Emerging Topics on IoT Data Analytics and Industrial AI. August 2024. Workshop

• LLM-based predictive methods

• PINNs framework development

• Temporal signal forecasting in industrial settings

[W5] Tutorials on Generative AI. January 2025. Workshop

• Adversarial attacks on neural networks

• LLM models

• Diffusion models

• Flow models for generative AI

[W6] Tutorials on Methods for Complex Multivariate Time Series Data Analytics. May 2025. Workshop

• Statistical approaches to time series forecasting

• Modern forecasting methodologies and applications

[W7] Tutorials on Time Series Analytics and Adaptations of Large Language Models (LLMs). August 2025. Workshop

• Knowledge distillation from LLMs

• Pipeline development and chain of thoughts

[W8] Tutorials on Basic Approaches in Machine Learning. January 2026. Workshop

• Time series forecasting with Prophet

• Anomaly detection

[W9] Tutorials on Supervised Learning for Industrial IoT Data. May 2026. Workshop

• Class imbalance: threshold tuning and evaluation metrics

• Transformer-based models for sensor time series

Students Mentored

Sinfeney Teng (Master's, UW ISyE)  Kolmogorov-Arnold Networks for reliability applications.

Samantha Soens (Undergraduate, UW ISyE)  Deep learning-based HMM for PDE-based emissions.

Komei Okamoto (Undergraduate, UW ISyE)  Deep learning benchmarking for anomaly detection in CNC machining.

Caiya Wulf (Undergraduate, UW ISyE)  Deep learning methods for anomaly detection in CNC machining. Now: Commercial Analyst at FORTNA.

Peach Chansaisakhorn (Undergraduate, UW ISyE)  Battery discharge monitoring and modeling.

Han Hu (Master's, UW ISyE)  Component-wise MDP for large K-out-of-N systems. Now: PhD Student, UW-Madison.