UROP Project | Center for Undergraduate Research and Academic Engagement

CAPS Digital Ecosystem

SysML v2, Model-Based Engineering, Digital Engineering, Artificial Intelligence, Data Analytics, Cloud Computing, Systems Engineering, Digital Ecosystem

Research Mentor: Dr. David C. Gross,
Department, College, Affiliation: FSU CAPS, FAMU-FSU College of Engineering
Contact Email: dcgross@fsu.edu
Research Assistant Supervisor (if different from mentor): na22j@fsu.edu Naqash Ali
Research Assistant Supervisor Email: na22j@fsu.edu
Faculty Collaborators: Matt Bosworth
Faculty Collaborators Email: matt@caps.fsu.edu

Looking for Research Assistants: Yes
Number of Research Assistants: 2
Relevant Majors: Systems Engineering, Computer Science, Computer Engineering, Electrical Engineering, Information Technology, Data Science, or related majors
Project Location: On FSU Main Campus
Research Assistant Transportation Required:
Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10, During business hours
Roundtable Times and Zoom Link:
Not participating in the roundtable

Project Description

This project will explore how SysML v2, model-based engineering, artificial intelligence, data analytics, and cloud computing can be combined to create an integrated digital engineering environment. The research will examine how engineering models, data, documents, and software tools can be connected to improve collaboration, traceability, analysis, and decision-making throughout the system lifecycle.

Research Tasks: Conduct literature and technology reviews.
Evaluate digital engineering tools.
Document workflows and use cases.
Organize engineering data.
Develop small demonstrations or prototypes.
Present findings to the research team.

Skills that research assistant(s) may need: Required: Willingness to learn, clear communication, organization, and basic computer skills.
Recommended: Familiarity with systems engineering, programming, data analysis, cloud platforms, AI tools, or modeling languages such as SysML or UML.
Prior experience with SysML v2 is not required.

Mentoring Philosophy

My mentoring approach is based on clear expectations, regular communication, and learning through practical work. I will help students understand the purpose of the project, identify goals that match their interests, and divide the research into manageable tasks. Students will receive guidance and examples at the beginning, followed by increasing ownership as their skills develop. Progress will be reviewed through short meetings, demonstrations, and feedback on completed work. Questions, experimentation, and mistakes will be treated as part of the learning process. Students will be encouraged to document their work, explain their decisions, and connect their contributions to the larger research objective. The goal is for each student to develop technical skills, research confidence, and a useful work product that they can discuss in future academic or professional opportunities.

Additional Information

Link to Publications

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