Category: Research

Associate Teaching Professor Aneet Narendranath (ME-EM) has been selected as one of nine international scholars for the International Alliance to Advance Learning in the Digital Era (IAALDE) VISTAS Colloquium Series.

In a first phase, IAALDE has called for ambitious midcareer researchers, pre-tenured or recently tenured, who are developing and implementing a long-range research vision (think: 5-10 years ahead) and are therefore interested in discussing their research vision with peers from multiple societies and different disciplinary backgrounds.

The goal of the VISTAS (Vision, Inspiration, Synergy, and Transformation Across Societies) Colloquium Series on Learning and Technologies Research is to create a discussion space where researchers can connect with one another to explore ideas across multiple disciplinary and society perspectives. It is envisioned to inspire transformative research and to improve our societies by better connecting researchers to one another and to cross-disciplinary ideas.

A graduate of Michigan Technological University, Narendranath’s teaching interests include classical mechanics, numerical methods for differential equations and symbolic solution packages. His research interests focus on numerical solutions and applications to engineering of nonlinear partial differential equations and low Reynolds Number fluid physics.

Congratulations to Narendranath on achieving this honor.

One PhD student position with full assistantship is available in the Department of Mechanical Engineering-Engineering Mechanics (MEEM) at Michigan Technological University. The student will work under Dr. Kai Zhou’s supervision.

The position will start in Spring 2023. It is available immediately and open until filled. The applicants must have a BS or MS degree in Mechanical Engineering with a particular emphasis on Structural Dynamics and Vibrations. The qualified applicant is expected to:

1. Have the extensive experiences and strong skills in testbed set-up, experimental instrumentation and data acquisition.
2. Demonstrate the capability in using FE simulation to perform both the linear and nonlinear structural dynamic analysis. It is a plus if the student has the experiences conducting other multi-physics FE simulations, e.g., electromechanical FE, fluid-structure coupled FE, thermal-structural coupled FE. The preferred software include: Abaqus, Ansys and COMSOL.
3. Have the in-depth knowledge in signal processing, machine learning (especially deep learning), data analytics and optimization. Have the strong programing skill using MATLAB, Python to support the implementation. The knowledge of Fortran and LabVIEW is a plus.

Interested applicants are encouraged to contact Dr. Kai Zhou (kzhou@mtu.edu) with your CV, transcripts.

Michigan Technological University
Department of Mechanical Engineering-Engineering Mechanics

Opportunity Summary

Dr. Vinh Nguyen is seeking applications for 2 PhD students in automation for smart manufacturing. The students will receive full tuition coverage and stipend support. Students will be investigating technologies to facilitate human-automation systems in the context of Industry 4.0 and develop machine learning solutions to address real-world manufacturing problems. Students will have hands-on experience working on a variety of manufacturing processes including robotic assembly, machining, and additive manufacturing. Furthermore, students will also have the opportunity to work with advanced robotic tools including AR/VR and motion capture systems.

Dr. Nguyen is an Assistant Professor under the Department of Mechanical Engineering-Engineering Mechanics at Michigan Technological University. Dr. Nguyen’s collaborators include industry, federal government agencies, and other academic universities.

Required Background

• Master’s in Mechanical Engineering, Electrical Engineering, Computer Science, or other related fields.
• Experience in programming industrial automation (industrial robots, embedded hardware, PLC’s, etc.) and familiarity with manufacturing processes including machining and additive manufacturing.
• Hands-on experience with wearables technologies, machine learning, and human-robot interaction is a plus but not required.
• Strong communication and technical writing skills for presentation of work to collaborators and sponsors.

Desired Background

Candidates should demonstrate at least one of the following strengths:

• Experience with robotics and controls
• Experience with manufacturing processes
• Experience with machine learning models

How to Apply

Interested candidates should send their CV (1–2 pages) to vinhn@mtu.edu.

Michigan Technological University
Department of Mechanical Engineering-Engineering Mechanics

Opportunity Summary

Seeking applications for 2 PhDs student in the area of marine renewable energy (e.g., offshore wind, wave) and control (or machine learning). The students will receive full financial support including a stipend and tuition coverage. The candidate will be working with the research group lead by Dr. Shangyan Zou investigating the modeling, control, networking, and swarm behavior of marine renewable energy systems to improve the economic index of marine renewables. In addition to the theoretical and numerical development, the candidate will also have opportunities to gain hands-on experience by working with the wave tank at Michigan Technological University. Furthermore, the candidate also will have the opportunity to work in Lake Superior and conduct experiments in the lake with the Research Vessel. You can expect a very productive working environment as well as a very effective personal mentorship from the PI in addition to academic support.

In general, the candidate will be responsible for supporting the initiative and contributing to the research projects through literature review, mathematical modeling, experimental testing, data organization, data collection, data analysis, preparing for research presentations, preparing manuscripts for journal submission, and other research-related duties as assigned.

Dr. Zou’s lab is in the Department of Mechanical Engineering-Engineering Mechanics at Michigan Tech. We have an interdisciplinary collaboration with universities (e.g., Oregon State University), national labs (e.g., National Renewable Energy Laboratory), and industries (e.g., OscillaPower) which will be a great opportunity for the candidate to work with people from a diverse background.

Why Should You Apply

Dr. Zou’s lab seeks highly motivated, honest, self-driven individuals from a variety of backgrounds in our investigations. The research questions that we are trying to address including:

• How to develop/apply new controls (as well as machine learning techniques) to improve the performance (optimality and robustness) of ocean renewable energy systems?
• What is a good model to describe the behavior of Wave Energy Converters (both rigid body or deformable body) which is computationally efficient and has a good agreement with the experiments?
• Can we use wave power for small non-grid applications (e.g., water desalination, UUV charging, oceanographic measurements)?
• How can we introduce multi-agent system techniques to optimize the performance of a swarm of ocean renewable energy systems (as well as other devices like UUVs)?

If any of the research questions excite you, please reach out!

Required Background

• MS (preferred) or BS in Mechanical Engineering, Civil Engineering, Electrical Engineering or other related fields
• Solid programming skills and some hands-on experience (e.g., 3-D printing, hardware communications). Hands-on experience with robotics or wave tank will be a plus but not necessary.
• Introductory background in dynamic systems and control, fluid mechanics. Deep background of Fluid Mechanics will be a plus but not necessary.
• Strong communication skills and used to a teamwork environment
• Solid writing skills and experience with presentation or article writing

Desired Background

Candidates should demonstrate at least one of the following strengths:

• Experience with modeling and control of ocean renewable energy systems (e.g., ocean wave, offshore wind)
• Experience with wave tank testing, hardware communication, or sensor measurements
• Experience with fluid-structure interaction
• Experience with control theory, state estimation, or multi-agent systems
• Experience with robotics (both numerical and experimental)

How to Apply

Send your CV and a brief statement of interest (1–2 pages) to shangyan@mtu.edu. In your statement of interest, please clearly highlight your strengths as one (or more) of the listed items. In addition, please send your application with the subject line: “Applying for PhD student position on marine renewables”.

The Michigan Translational Research and Commercialization (MTRAC) Innovation Hub for AgBio at Michigan State University recently highlighted two grants awarded to a Michigan Tech researcher.

Ezra Bar-Ziv (ME-EM) received his first MTRAC AgBio grant in 2018 through a competitive grant proposal submission. This $50,000 matching fund grant supported his research that uses biological materials as feedstocks for petroleum refineries. In 2019, he submitted a proposal for a second technology that resulted from previous MTRAC awarded research. This new technology is able to remove chlorine from solid plastic waste streams. Chlorine is an undesirable byproduct of burning plastics, and by removing it, the plastic can be cleanly used for combustion energy. The chlorine is recycled, as the system uses the chlorine gases to heat itself. Bar-Ziv was awarded a larger $100,000 MTRAC AgBio match grant for this second project.

MTRAC grants are awarded to assist with the commercialization of new technologies. Bar-Ziv’s research looks at environmentally friendly solutions to combustion energy, in which materials are burned to produce heat energy. He is specifically researching ways waste materials can be utilized in this manner. Instead of sending plastic waste material, such as food wrappers, to the landfill, they can be sent to facilities with Bar-Ziv’s technology.

“Feedback from the oversight committee through the MTRAC process is extremely encouraging,” Bar-Ziv said. “They have one thing in mind: They want you to focus and bring a product to the market. Without the MTRAC support, it would have been hard to do the commercialization.”

Convergen Energy, an energy company in Wisconsin, wants to commercialize Bar-Ziv’s design. Together, they are working on the pre-design, which will help the company determine how to move forward with the technology. They are exploring what the system will look like, the cost of the system and the business benefits. The system will then be used to create this clean combustion energy.

“One of the key objectives of the MTRAC statewide program is to support technology commercialization within all of our universities, hospital systems and nonprofit research centers,” said Denise Graves, university relations director at the Michigan Economic Development Corporation (MEDC). “This project is a great example of that collaboration — using the expertise of the AgBio Innovation Hub at Michigan State to support research and commercialization activities at Michigan Tech.”

The MSU Innovation Center MTRAC team has been working with Bar-Ziv since he was awarded the first MTRAC grant. “Dr. Bar-Ziv and the team have set a great example of how to use scientific rigor and technical ingenuity to deliver high-value solutions to real customers,” said Joseph Affholter, the commercialization program director for the MTRAC AgBio Innovation Hub, which runs under the MSU Innovation Center.

This is the spirit of translational research, Affholter explained. “They have navigated a complex innovation process. Their curiosity, flexibility and commitment to value creation has delivered a commercialization-ready technology to customers and is a timeless example to other academic researchers seeking to solve practical problems through innovation.”

“There is the so-called ‘Valley of Death’ between discovery and user adoption,” said Jim Baker, associate vice president for research at MTU. “Equally as important is the feedback from the MTRAC oversight committee as well as the program management to accomplish the core goals. MTRAC fills an essential gap between laboratory research and use.”

The MTRAC Innovation Hub for AgBio at MSU is dedicated to the commercialization of technologies that advance the competitiveness of Michigan’s food, agriculture and industrial bioeconomy. The program is co-funded by MSU and the MEDC through the Michigan Strategic Fund.

The AgBio hub is part of a network of statewide innovation hubs — including the MTRAC Advanced Applied Materials Innovation Hub at Michigan Tech, which announced funding for projects in May. Located strategically at universities strong in the sector, each hub further increases the quality and quantity of resources available.