parker portrait
Gordon Parker
John and Cathi Drake Endowed Chair in Mechanical Engineering
Prof. Parker 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. Prior to his position at Michigan Tech he worked for four years at Sandia National Laboratories, Albuquerque on a variety of vibration control applications and three years at General Dynamics Space Systems on guidance and control of launch vehicles.
wayne weaver portrait
Wayne Weaver
Professor, Associate Chair and Director of Graduate Studies, Mechanical Engineering-Engineering Mechanics
Wayne W. Weaver received a BS in Electrical Engineering and a BS in Mechanical Engineering from GMI Engineering & Management Institute in 1997, and an MS and PhD in Electrical Engineering from the University of Illinois at Urbana–Champaign. His research interests include power electronics, electric machine drives, electric and hybrid-electric vehicles, and non-linear and optimal control.
hassan masoud portrait
Hassan Masoud
Assistant Professor, Mechanical Engineering-Engineering Mechanics
Dr. Masoud joined the Department of Mechanical Engineering-Engineering Mechanics at Michigan Tech in July 2017. Dr. Masoud leads the Complex Fluids and Active Matter Lab, where he and his team employ the tools of applied mathematics and experiments to fundamentally understand the interaction of fluid flows with dynamically changing boundaries at a wide range of length and time scales. Their goal is to integrate the acquired fundamental understanding with engineering ideas to address outstanding technological and societal problems.
shangyan zou
Shangyan Zou
Assistant Professor, Mechanical Engineering-Engineering Mechanics
Dr. Zou is an Assistant Professor in the Department of Mechanical Engineering-Engineering Mechanics at Michigan Technological University. Dr. Zou has research interests in dynamics and control with applications to ocean renewables, multi-agent systems (autonomy), machine learning, optimization, and state estimation. Dr. Zou has a strong interest in making renewable energy more economically viable in the future energy market.


Our student's creativity and passion create knowledge and drive our research. Undergraduates use MTU Wave and work with faculty and graduate students to test wave energy converter designs for capstone projects and yearly Marine Energy Converter Competition entries. Students pursuing M.S. and Ph.D. degrees develop both core and project-specific skills. Core skills include modeling and simulation, wave tank experimental techniques, control system design, and real-time implementation. Project-specific skills include machine learning, optimal control, and nonlinear control.

Houssein Yassin portrait
Houssein Yassin, R&D Engineer.
Nonlinear and Optimal Point Absorber WEC Control
Houssein is a Fulbright Scholar from Lebanon who recently graduated with a Master's degree in Mechanical Engineering and is now a Research and Development Engineer at MTUWave Laboratory. Houssein is comparing the energy extraction performance of different shaped point absorber buoys undergoing significant motion and his modeling shows excellent results. He’s also working to derive optimal control solutions for nonlinear, time-varying, second order systems. Houssein is now working with Tania on further developing the Low-Friction Testbed to validate different WEC models including an hourglass-shaped buoy in addition to designing an energy maximization nonlinear Model Predictive Control (MPC) strategy supported by machine learning.
Tania Demonte portrait
Tania Demonte Gonzalez, Ph.D.
Wave Energy Converter Nonlinear Control
Tania is developing control strategies to address the nonlinear Froude-Krylov forces arising from large-motion, non-cylindrical point absorber buoys. Her nonlinear model predictive control strategy assumes that wave force information is available in advance and is supported by the machine learning models Morgan is developing. She is working with Houssein to develop optimal control strategies for nonlinear WECs and validating WEC models using the Low-Friction Testbed. Tania was awarded Michigan Tech’s Topping Teaching Fellowship in the Fall of 2022 and is a remote intern at the National Renewable Energy Laboratory in Colorado.
Portrait of Michigan Tech student Morgan Kline
Morgan Kline, M.S.
Neural Network WEC Control
Morgan finished her MEEM B.S. in December 2021 and went straight into her M.S. program. Morgan uses machine learning to predict future wave forces on point absorber buoys. Using data collected in MTU Wave for a stationary sphere and our buoy force dynamometer, her models successfully predicted the forces several periods in advance. She’s recently acquired motion data of a heaving point absorber buoy using MTU Wave’s motion tracking system. She will use the upwind wave gauge information to create a new neural network wave force model.
Lucas Schloemp
Lucas Schloemp, M. S.
Vibration Control
Luke's research focuses on linear and nonlinear vibration control combining Simulink/Simscape modeling, control system design, calibration and experiments. His work will improve 3D printing on ships. Luke's a talented MTU Wave research engineer whose skills include instrumentation calibration, custom dSPACE application development, and test execution. He recently added our buoy dynamometer into MTU Wave's synchronization scheme. This allows precise timing of buoy actuation relative to wave maker commands.
Mady VanWieren portrait
Mady VanWieren, M.S.
WEC Modeling and Control
Mady is in the first year of her M.S. program after finishing a B.S. in Mechanical Engineering in 2023. She helped design MTU Wave’s low-friction test bed to explore WEC control system performance - the focus of her M.S. research. Mady is also a member of the Michigan Tech cross-country and track teams. 
Vasu Bhardwaj, M.S.
WEC Modeling and Optimization
Vasu's research focuses on design of a low-friction testbed for WEC modeling and control studies. He's developing machine learning strategies to maximum power for point absorbers operating the large motion, nonlinear regime.
Sal Housain portrait
Salman (Sal) Husain, PH.D.
Modeling and Control of Wave Energy Converter Arrays
Sal defended his Ph.D. in 2022 and is currently a postdoctoral research engineer at the National Renewable Laboratory in Colorado. His Ph.D. addressed modeling and control of a closely-spaced WEC array. He also explored the optimal placement of WECs to aid electrical energy transmission.
Portrait of Michigan Tech student Kevin Nelson
Kevin Nelson, M.S.
Optimal Control of Nonlinear WECs
Kevin finished his M.S. in 2022, where he worked with Houssein Yassin to develop and solve the necessary conditions for a point absorber WEC with an hourglass-shaped buoy. He showed that candidate optimal solutions could be obtained for the resulting singular arc conditions.
Madelyn Veurink portrait
Madelyn Veurink, M.S.
Multi-resonance and Phase Control of a WEC Array
Madelyn’s research combines WEC electrical and mechanical models to maximize energy production and transmission. WEC arrays are the primary focus where packetized energy is provided to loads. Madelyn is now doing her PhD at University of Michigan, Ann Arbor and interns at Sandia National Laboratories.
Jacob Colling portrait
Jacob Colling, M.S.
Development of a Buoy Dynamometer
Jacob completed his M.S. in 2022, where he designed and tested a buoy dynamometer used for validating large-motion buoy hydrodynamic models. Synchronized with MTU Wave’s instrumentation suite (wave gauges, an 11-camera Qualisys motion tracking system, and a dSPACE microLabBox), the dynamometer can measure vertical forces acting on a buoy while simultaneously applying motion profiles.