Current Opportunities

Below are the current IMSE research opportunities for industrial engineering undergraduate students. Click here to apply!

Simulation studies and development of digital twin systems for electrohydrodynamic inkjet printing

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

  1. Literature review
  2. Problem definition
  3. Simulation
  4. Modeling
  5. Writing
  6. Presenting
  7. 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

Development of Virtual Reality Laboratory to Teach Manufacturing Classes Online

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

  1. Problem definition
  2. Simulation
  3. Modeling
  4. Writing
  5. Presenting
  6. 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

Explainable models for crop yield prediction

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

  1. Literature review
  2. Data collection
  3. Data analyses
  4. Statistical analyses
  5. Writing
  6. Presenting
  7. 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