2022 Research Projects

Projects are posted below; new projects will continue to be posted. To learn more about the type of research conducted by undergraduates, view the archived symposium booklets and search the past SURF projects.

This is a list of research projects that may have opportunities for undergraduate students. Please note that it is not a complete list of every SURF project. Undergraduates will discover other projects when talking directly to Purdue faculty.

You can browse all the projects on the list or view only projects in the following categories:


Computer Architecture (3)

 

AAMP UP- In-situ Diagnosis of Additive Manufacturing with 3D Vision Sensor 

Description:
This project is part of the AAMP-UP '22 program, which focuses on energetic material research.
AAMP-UP is separate but highly partnered with SURF.

The project is run by Dr. Song Zhang and his team. The research aims at designing a 3D printer that can incorporate a high-end customized 3D vision sensor for close-loop controls. Undergrads will closely work with graduate students on both software and/or hardware development depending upon interest.
Research categories:
Computer Architecture, Deep Learning, Mobile Computing, Other
Preferred major(s):
  • No Major Restriction
Desired experience:
Must be a U.S. citizen, national, or permanent resident of the United States. Must have completed at least one academic semester of full-time study at associate's or bachelor's degree level from an accredited college or university.
School/Dept.:
Mechanical Engineering
Professor:
Song Zhang

More information: https://engineering.purdue.edu/ME/People/ptProfile?resource_id=117610

 

Real time analysis of viral particles 

Description:
The increasing worldwide demand for vaccines along with the intensifying economic pressure on health care systems underlines the need for further improvement of vaccine manufacturing. In addition, regulatory authorities are encouraging investment in continuous manufacturing process to ensure robust production, avoid shortages, and ultimately lower the cost of medications for patients. The limitations of in-line process analytical tools are a serious drawback of the efforts taken in place. In line analysis of viral particles are very limited, due to the large time required for the current techniques for detection, qualitative and quantitative analysis. Therefore, there is a need for new process analytical technology. This project has both experimental and computation components and two students will be recruited for perform different tasks. The student focusing on experiments will fabricate devices and test them. The student focusing on computations will focus on developing machine learning codes.

Research categories:
Big Data/Machine Learning, Biological Characterization and Imaging, Biological Simulation and Technology, Biotechnology Data Insights, Cellular Biology, Computer Architecture, Deep Learning
Preferred major(s):
  • No Major Restriction
Desired experience:
For the experimental portion of the project: fabrication, cell culture, microfluidics, microscopy For the computational portion of the project: Coding, Python
School/Dept.:
Mechanical Engineering
Professor:
Arezoo Ardekani

More information: https://engineering.purdue.edu/ComplexFlowLab/

 

System on Chip design, verification and test  

Description:
Engage in a blend of research and design in connection with the SoCET (System on Chip Extension Technologies) team. SoCET is continually designing and fabricating chips for use in a variety of research projects. Several projects are in progress related to electronics security, machine learning acceleration, MRAM, and SoC architecture. Chip design and fabrication is a complex process involving many different specialized skills including architectural modelling, logic design, extensive verification of hardware description code, physical layout of chips, and verification of physical layout. Based on your interests and needs of the team, you will start out in one of these specialties to learn the necessary tools and participate in the design and evaluation of a particular chip or architecture.
Research categories:
Computer Architecture
Preferred major(s):
  • No Major Restriction
School/Dept.:
Electrical and Computer Engineering
Professor:
Mark Johnson