NSF REU Summer Program Application Form : Department of Engineering Technology : Texas State University

Personal Information

First Name *

Middle Name *

Last Name *

Email Address *

Address *

Education

School Name *

Major *

GPA *

Prior REU Program Experience

Have you ever participated in an REU Program before? *

Yes

If Yes, that REU Program's name was: *

If Yes, that REU Program's year was: *

If Yes, that Program's Host University was: *

Citizenship

Are you a US citizen or US permanent resident? *

Yes

Project Topics

Select your top 3 choices (based on your background and level of interest) from the following project topics. Once you have selected your choices, please list them in order of preference by entering the number assigned to the topic in the boxes provided below this selections list.

1.

Development of 3D printable Strontium Ferrite / Polyamide 12 composites for magnetic devices

https://nsfreu.wp.txstate.edu/development-of-3d-printable-strontium-ferrite-polyamide-12-composites-for-magnetic-devices-led-by-dr-tate/

2.

Process optimization of fused filament fabrication method using the finite element method

https://nsfreu.wp.txstate.edu/process-optimization-of-fused-filament-fabrication-method-using-the-finite-element-method-led-by-dr-emami/

3.

Using MTConnect IIOT Infrastructure for Real-time Monitoring of Manufacturing Assets

https://nsfreu.wp.txstate.edu/using-mtconnect-iiot-infrastructure-for-real-time-monitoring-of-manufacturing-assets-led-by-dr-ameri/

4.

Smart Foundry Concepts for Improved Furnace Efficiency and Monitoring

https://nsfreu.wp.txstate.edu/smart-foundry-concepts-for-improved-furnace-efficiency-and-monitoring-led-by-dr-trueba/

5.

Data-Informed Decisions Using a Digital Twin of a Collaborative Robot in an I4.0 Application

https://nsfreu.wp.txstate.edu/data-informed-decisions-using-a-digital-twin-of-a-collaborative-robot-in-an-i4-0-application-led-by-dr-jimenez/

6.

The Application of Sensor Fusion and Artificial Intelligence in Improving the Performance of Autonomous Mobile Robots

https://nsfreu.wp.txstate.edu/the-application-of-sensor-fusion-and-artificial-intelligence-in-improving-the-performance-of-autonomous-mobile-robots-led-by-dr-khaleghian/

7.

Autonomous Robotic Assembly Performance Improvement Based on Machine Learning

https://nsfreu.wp.txstate.edu/autonomous-robotic-assembly-performance-improvement-based-on-machine-learning-led-by-dr-chen/

8.

Reconfigurable Ultrasound Beam Focusing System for Non-invasive Stimulation Applications

https://nsfreu.wp.txstate.edu/reconfigurable-ultrasound-beam-focusing-system-for-non-invasive-stimulation-applications-led-by-dr-song/

9.

Simulation and experiments of micro hot embossing for successful replication of micro fluidic devices

https://nsfreu.wp.txstate.edu/simulation-and-experiments-of-micro-hot-embossing-for-successful-replication-of-micro-fluidic-devices-led-by-dr-you/

First choice: *

Second choice: *

Third Choice *

Demographic Information for the Significant Contributors

Gender *

Male

Female

Do not wish to provide

Race *

Ethnicity *

Hispanic or Latina/o

Not Hispanic or Latina/o

Do not wish to provide

Disability Status *

Yes, Deaf or serious difficulty hearing

Yes, Blind or seriousl difficulty seeing even when wearing glasses

Yes, Serious difficulty walkig or climbing stairs

Yes, Other serious disability related to a phsyical, mental or emotional condition

Do not wish to provide

Veteran Status *

I am a veteran of the Vietnam era

I am a special disabled veteran

I am a recently separated veteran

I am an other protected veteran

I am not a veteran

Do not wish to provide

Reference #1

Name: *

Affiliation: *

Relationship: *

How long? *

Reference #2

Name: *

Affiliation: *

Relationship: *

How long? *

Please Upload the following Documents:

Cover Letter *

CV *

One-page Research Statement (This should be a statement of purpose along with some description of your background in advanced manufacturing.) *

Unofficial Transcript *

Signature

By signing this application, I confirm the accuracy of the submitted data.

Legal Name: *

Date: *

If you happen to see this, do not fill this field.