Tania Demonte Gonzalez is a Postdoctoral Scholar at the Michigan Technological University. She graduated from the same university and received her B.S., M.S., and Ph.D. in Mechanical Engineering. Before her current role, she was a Graduate Student Researcher at the MTU Wave, a Graduate Research Intern at the National Renewable Energy Laboratory, and a Mechanical Engineer Intern at Miller Electric Manufacturing, LLC. Her work focuses on controls of dynamic systems, particularly wave energy converters.
Enrico Anderlini received an Eng.D. degree in offshore renewable energy from the Industrial Doctoral Centre for Offshore Renewable Energy, a partnership of the Universities of Edinburgh in 2018, and an M.Eng. in Ship Science at the University of Southampton in 2013. He was a senior research fellow in the Department of Mechanical Engineering at University College London, UK. He is currently a Product Manager with Manz, Sasso Marconi, Italy, where he is focusing on the manufacturing of lithium-ion batteries, and a Visiting Researcher with University College London. His current research interests include dynamics and control theory, focusing on learning-based methods.
Gordon Parker is the John & Cathi Drake Chair Professor of Mechanical Engineering at the Michigan Technological University. He received his B.S. in Systems Engineering at Oakland University, M.S. in Aerospace Engineering at the University of Michigan, and Ph.D. in Mechanical Engineering at SUNY Buffalo. Before his position at Michigan Tech, he worked for four years at Sandia National Laboratories, Albuquerque, on a variety of vibration control applications and for three years at General Dynamics Space Systems on guidance and control of launch vehicles. He specializes in dynamic system modeling and control. His application areas include land, air, space, and sea with recent funding from ONR, NAVSEA, DARPA, AFOSR, and ARL. Recent projects focus on model predictive control for thermal/electrical energy management, machine learning control of wave energy converters and unpiloted underwater vehicles, and survivability-optimal control of surface vessels.
