UROP Research Mentor Project Submission Portal: Submission #1069

Submission information
Submission Number: 1069
Submission ID: 19941
Submission UUID: ade4f5f4-ecb7-4114-afe0-f262b3c81d95

Created: Wed, 07/30/2025 - 06:37 PM
Completed: Wed, 07/30/2025 - 06:37 PM
Changed: Mon, 10/06/2025 - 05:08 PM

Remote IP address: 144.174.214.38
Submitted by: Anonymous
Language: English

Is draft: No
Research Mentor Information
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Primary Research Mentor Name: Raghav Gnanasambandam
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Contact Email (FSU Email if affiliated): raghavg@eng.famu.fsu.edu
Position Title: Faculty
FSU College (if applicable): FAMU-FSU College of Engineering
FSU Department or Non-FSU Organization Affiliation: Industrial and Manufacturing Engineering
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Additional Research Mentor(s)
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Research Assistant Supervisor (if different from above): {Empty}
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Overall Project Details
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Title of the Project: Scientific Machine Learning with Julia
Project Keywords: Coding; Computation; Machine Learning; 
Are you currently looking for research assistants?: No
Number of Research Assistants Needed : 1
Relevant Research Assistant Major(s):
Open to all majors

Project Location:: FAMU-FSU College of Engineering/Online
If the project location is off campus, does the research assistant(s) need to provide their own transportation?: Bus
Please select the choice that most accurately describes your expectations for the research assistant(s):: Partially Remote
Approximately how many hours a week would the research assistant(s) need to work?: 6 hrs
Roughly what time frame do you expect research assistant(s) to work?: Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.)
Overall Research Project Description:
This research aims to understand the advantages of the computer programming language Julia in scientific machine learning. Python is the go-to programming language for most scientific machine learning work. Julia, a relatively new programming language, shows promise in achieving faster speeds than Python. The project will utilize a pre-existing Python code related to Physics Informed Neural Networks and convert it to Julia to analyze the advantages and disadvantages.  

Research Tasks:
1. Understand the basic syntax of Python and Julia. 
2. Compare the speed of simple problems (loops, matrix multiplications, and matrix inversions) between both languages. 
3. Understand basics of Physics-Informed Neural Networks. 
4. Convert a pre-existing Python code to Julia. 
5. Compare the speed and accuracy. 

Skills that research assistant(s) may need::
Some knowledge of calculus (required)  
Some familiarity with coding (recommended).

Mentoring Philosophy:
Problem-based learning: Real-world problems are complex and multidisciplinary. The problem-based learning approach gives the students a problem they are excited about so that they develop the skills, often interdisciplinary, to solve it.

Growth Mindset: A growth mindset encourages embracing challenges, learning from failures, and viewing effort as a path to mastery. This perspective fosters resilience and a love for learning, making it a powerful driver for personal and academic growth.

Please provide a link to your publications, a video clip, or a website for your research project (if applicable):: {Empty}
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Are you interested in participating in the UROP Research Mentor Roundtable?: No
Roundtable times and Zoom links:
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UROP Program Elements
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Mentor Handbook, FAQs, and Communication: Yes
UROP Performance Evaluation: Yes
Materials Grant: Yes
UROP Poster Presentation: Yes

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Year: 2025
update url: https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=mfg4krYSLGQrLbXoNdDJu96wZ6Vib1BZ4GG2MS4JRl8