Jennifer Stamm (Haggerty)

Jennifer Stamm (Haggerty) is an Assistant Professor of Teaching in the Department of Mechanical and Aerospace Engineering at the University at Buffalo's School of Engineering and Applied Sciences. Her research focuses on robust vibration control, optimization, estimation of dynamic systems, and applications in data assimilation, Bayesian inference, and industrial internet technologies.

Dr. Haggerty holds a PhD in Mechanical Engineering from the University at Buffalo (2015), an MS in Mechanical Engineering (2009), and a BS in Mechanical Engineering (2004). She has received multiple team awards for technological innovation, including the Bloomberg New Energy Finance 'New Energy Pioneers Award' (2016), 'Best Technological Innovation Award' at Wind Dallas O&M Show (2016), and the NSF Tibbetts Award (2014) presented at the White House.

Research Interests:

• Robust vibration control and convex approximation theory
• Data assimilation and Bayesian inference in dynamic systems
• Life-cycle cost modeling and supply chain optimization
• Tradespace exploration and integrated circuit optimization

Scientific Awards:

• New Energy Pioneers Award (2016)
• Best Technological Innovation Award (2016)
• National Science Foundation Tibbetts Award (2014)