Below are the current IMSE research opportunities for industrial engineering undergraduate students. Click here to apply!
Duration: Summer 2020
Research area: Advanced Manufacturing
Project Description:
The objective of this project is to investigate the state of the art simulation studies related to a high precision 3D printing technique, called electrohydrodynamic inkjet printing. Due to the scale is too tiny (a few micro and nano meters), it is difficult to see the process. There is a need to develop strategies for remote sensing and control, thus to enable a digital twin system.
Desired Knowledge/Skills/Experiences
The URA will help with literature review and brainstorm for ideas. If qualified, URA will help with modeling and paper writing.
Activities
- Literature review
- Problem definition
- Simulation
- Modeling
- Writing
- Presenting
- Group meetings
Expected student hours/week: 10 hours/week
Attributes for success: A summary report to list what other researchers are doing in this field. A bunch of suggested strategies to resolve the problem.
Deliverables
A report, possible conference article.
Supervisors
Dr. Qin
Duration: Summer 2020
Research area: Advanced Manufacturing
Project Description:
-Build a Virtual Reality environment with equipment used in the IE 248 laboratory
-Allow users to operate the virtual equipment to allow them to get familiar with the functions of each machine to support a safer learning experience
-Educate users in a virtual environment with the same effectiveness as a physical environment.
Desired Knowledge/Skills/Experiences
-Have taken IE 248 before
-Familiar with Solidworks and Unity
Activities
- Problem definition
- Simulation
- Modeling
- Writing
- Presenting
- Group meetings
Expected student hours/week: 10 hours/week
Attributes for success: Finish the virtual app development for milling and lathe operations.
Deliverables
A developed VR app
Supervisors
Dr. Qin
Duration: Summer 2020
Research area: Operations Research/Analytics
Project Description:
We will use weather, soil, management, and satellite image data to prediction corn yield.
** Additional project information
Face to face meeting is not required. Student is expected to have access to a computer, reliable internet, and teleconference software.
Desired Knowledge/Skills/Experiences
- Having interest and some background in agriculture, data analytics, computer programming.
- Being responsive, punctual, and self-motivated.
- Having good communication skills.
Activities
- Literature review
- Data collection
- Data analyses
- Statistical analyses
- Writing
- Presenting
- Group meetings
Expected student hours/week: 10 hours/week
Attributes for success:
- Be able to create a clean Matlab data set for further research, with detailed description
- Be able to understand and contribute to new ideas for yield prediction algorithms
- Be able to contribute to journal or conference articles on yield prediction
Deliverables
A clean Matlab data set; contribution to a journal or conference paper
Supervisors
Dr. Wang