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Spring 2022: Machine Learning Based Design of Materials for Flexible Electronics

Affiliations: DeBakey Executive Research Leadership Program
Project Leader: Swarn Jha
swarn.jha14@tamu.edu
Mechanical Engineering
Faculty Mentor: Dr. Hong Liang, Ph.D.
Meeting Times:
Saturday 12-2pm
Team Size:
8
Open Spots: 0
Special Opportunities:
Students may be put as co-author in leading scientific journal articles. There may be opportunities for conference participations. Students will get high level exposure to graduate level research, scholarship information, career counseling etc from the team.
Team Needs:
Basic engineering/science domain knowledge, willingness to learn and contribute, team player. Experience with coding and technical writing is very helpful. Successful applicants would have high enthusiasm for coding, solving challenging problems, and publishing.
Description:
We have been working in this Aggie research program for 5 semesters now. In this project, we want to use advanced Machine Learning algorithms to model the experimental results obtained in our lab for flexible electronic devices. Project involves coding in python and writing research paper. Background in coding and technical writing is desirable. We meet once every week on Saturdays. Team is highly collaborative, friendly, and helpful. Project requires at least two semester long commitment, dedication, and active involvement. Outperforming students may be co-authors of journal papers.

 

Written by:
Christopher Quick
Published on:
January 21, 2022

Categories: FullTags: Spring 2022

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