UROP Research Mentor Project Submission Portal: Submission #1069 | Center for Undergraduate Research and Academic Engagement

Submission information

Submission Number: 1069

Submission ID: 19941

Submission UUID: ade4f5f4-ecb7-4114-afe0-f262b3c81d95

Submission URI: /urop-research-mentor-project-submission-portal

Submission Update: /urop-research-mentor-project-submission-portal?token=mfg4krYSLGQrLbXoNdDJu96wZ6Vib1BZ4GG2MS4JRl8

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

Webform: UROP Project Proposal Portal

Submitted to: UROP Research Mentor Project Submission Portal

Research Mentor Information

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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Overall Project Details

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.

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Are you interested in participating in the UROP Research Mentor Roundtable? No

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UROP Program Elements

Mentor Handbook, FAQs, and Communication Yes

UROP Performance Evaluation Yes

Materials Grant Yes

UROP Poster Presentation Yes

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Year 2025

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