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Fall 2021: Machine Learning Based Design of Materials for Flexible Electronics

Affiliations:
Project Leader: Swarn Jha
swarn.jha14@tamu.edu
Mechanical Engineering
Faculty Mentor: Dr. Hong Liang, Ph.D.
Meeting Times:
Saturday 12-2pm
Team Size:
7
Open Spots: 7
Special Opportunities:
Students may be put as co-author in leading scientific journal articles. There may be opportunities for conference participation. 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 atleast two semester long commitment, dedication, and active involvement. Outperforming students may be co-authors of journal papers

 

Written by:
Andrew McNeely
Published on:
September 1, 2021

Categories: FullTags: Fall 2021

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