Jennifer Stamm (Haggerty)

PhD

Jennifer Stamm.

Jennifer Stamm (Haggerty)

PhD

Jennifer Stamm (Haggerty)

PhD

Research Interests

Robust vibration control, optimization, estimation of dynamic systems, data assimilation and Bayesian inference, robust convex approximation theory; life-cycle cost modeling, aggregate demand, supply chain optimization, tradespace exploration, industrial internet, integrated circuit optimization

Biography Publications Teaching

Courses

  • EAS 104—Special Topics (Summer 2024, Summer 2023, Summer 2022, Summer 2021, Summer 2020)
  • EAS 198—UB Seminar (Fall 2024, Spring 2024, Fall 2023, Fall 2022)
  • EAS 202—Engineering Impact On Society (Spring 2020)
  • EAS 208—Dynamics (Summer 2024, Summer 2023, Fall 2021, Summer 2020)
  • MAE 177—Introduction to CAD (Spring 2025, Spring 2024, Spring 2023)
  • MAE 277—Introduction to Mechanical and Aerospace Engineering Practice (Fall 2024, Fall 2023, Fall 2022, Fall 2021, Fall 2020)
  • MAE 340—Dynamic Systems (Fall 2024)
  • MAE 364—Manufacturing Processes (Spring 2025, Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020)
  • MAE 451—Design Process and Methods (Fall 2023, Fall 2022)