Dr. Jack Elliott, Assistant Professor

PhD | Faculty

Address: 1001 Chestnut St. W, Virginia, MN 55792
Phone: 507-389-2744
Email: jack.elliott.2@mnsu.edu

Education

PhD Engineering Education, Utah State University
MS Mechanical Engineering, Utah State University
BS Mechanical Engineering, Utah State University

Bio

Dr. Jack Elliott is an Assistant Professor in the Department of Integrated Engineering at Minnesota State University, Mankato. Within this department, Jack works in the co-op-based learning engineering program Iron Range Engineering where he teaches courses in the programming, modelling, and fluid mechanics areas. Prior to this appointment, Jack was a National Science Foundation Graduate Research Fellow and Presidential Doctoral Research Fellow at Utah State University where he earned his B.S. in Mechanical Engineering, M.S. in Mechanical Engineering, and Ph.D. in Engineering Education. Jack’s Engineering Education research focuses on understanding the role of social networks in student success within and outside the classroom; his Mechanical Engineering research focuses on experimental fluid dynamics, particularly flow control through surface features and applications of Particle Image Velocimetry; and his intersectional research focuses on developing and implementing accessible tools for fluid dynamics education. 

Courses Taught

ENGR 322 Programming and Modelling (Spring 2024, Fall 2024)
ENGR 345 Instrumentation (Spring 2024, Fall 2024)
ENGR 464 Aerodynamics (Fall 2024)

Research Interests

Social Support in Engineering Education
Social Network Analysis
Passive Flow Control
Particle Image Velocimetry
Microplastics Sampling Methods

Publications

Elliott, J., Smith, L., Lyu, B., & Smith, B. (2024). The combined influence of spin and roughness frequency on sphere aerodynamics. Experiments in Fluids, 65 (60). https://doi.org/10.1007/s00348-024-03794-0


Minichiello, A., Armijo, D., Mukherjee, S., Caldwell, L., Kulyukin, V., Truscott, T., Elliott, J., & Bhouraskar, A. (2020). Developing a mobile application‐based particle image velocimetry tool for enhanced teaching and learning in Fluid Mechanics: A design‐based research approach. Computer Applications in Engineering Education, 29(3), 517–537. https://doi.org/10.1002/cae.22290

Connect on LinkedIn:

https://www.linkedin.com/in/jack-elliott-phd-9ba9b910b/

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