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

Education

  • PhD, Mechanical Engineering, University at Buffalo, 2015
  • MS, Mechanical Engineering, University at Buffalo, 2009
  • BS, Mechanical Engineering, University at Buffalo, 2004

Awards and Honors

  • 2016 Sentient Science team recipient of the “New Energy Pioneers Award” from Bloomberg New Energy finance at the Future of Energy Summit 2016, New York, NY. Selected from global competition as “game changer” in clean energy.
  • 2016 Sentient Science team recipient of “Best Technological Innovation Award” at Wind Dallas O&M Show.
  • 2014 Sentient Science team recipient “National Science Foundation Tibbetts Award” presented at the White House, the highest award given by the U.S. Government to honor outstanding technical and commercial achievements of small business under the SBIR and STTR programs.