UROP Research Mentor Project Submission Portal: Submission #321
Submission information
Submission Number: 321
Submission ID: 7851
Submission UUID: 35bcb217-148a-4cf9-9717-db3b68cf742b
Submission URI: /urop-research-mentor-project-submission-portal
Submission Update: /urop-research-mentor-project-submission-portal?token=vcGjL-4OTCC2Yu1HYbFy_pNAmzdzWEmzFOGnOM26ajI
Created: Wed, 05/31/2023 - 11:10 AM
Completed: Wed, 05/31/2023 - 11:10 AM
Changed: Fri, 05/10/2024 - 06:03 AM
Remote IP address: 73.48.124.21
Submitted by: Anonymous
Language: English
Is draft: No
Webform: UROP Project Proposal Portal
Submitted to: UROP Research Mentor Project Submission Portal
Primary Research Mentor Name | Jonathan Adams |
---|---|
Research Mentor Preferred Pronouns | Dr. |
When potential research assistants are reaching out via email, what is your preferred honorific? | Dr. |
Contact Email (FSU Email if affiliated) | jladams@fsu.edu |
Position Title | Faculty |
FSU College (if applicable) | Communication and Information |
FSU Department or Non-FSU Organization Affiliation | Information |
Headshot (optional) |
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Research Assistant Supervisor (if different from above) | Ben Ravuri (doctoral candidate) |
Research Assistant Supervisor Preferred Pronouns | |
Research Assistant Supervisor Preferred Honorific? | Mr. |
Contact Email (FSU Email if affiliated) | bravuri@fsu.edu |
Name of Other Faculty/Collaborator(s) (if applicable) | Lucas von Hollen, Keith Roberson |
Other Faculty/Collaborator(s) Preferred Pronouns | |
Other Faculty/Collaborator(s) Preferred Honorific? | |
Contact Email (FSU Email if affiliated) | |
Title of the Project | CCI Machine Learning Lab |
Project Keywords | Machine learning, artificial intelligence, computer vision, research |
Are you currently looking for research assistants? | No |
Number of Research Assistants Needed | 2 |
Relevant Research Assistant Major(s) | We prefer STEM majors. Working with AI requires some experience with a software language. We use Python, Jupyter Notebooks. |
Project Location: | On FSU Main Campus |
If the project location is off campus, does the research assistant(s) need to provide their own transportation? | The CCI MLab is on campus, located in WJB 2021 |
Please select the choice that most accurately describes your expectations for the research assistant(s): | In-person |
Approximately how many hours a week would the research assistant(s) need to work? | 5-10 |
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 | The CCI MLab hosts 12 ‘continuing’ students. They are former UROP students, or others who have participated on different projects. Currently, we are working with various Large Language Models (LLM), Yolo8 for computer vision projects, and some work with Visual Transformers. We have open source algorithms installed lab computers, (2080ti, 3090 [x2], 4090 [x2]) for example, Stable Diffusion, Llama2 7b, and YOLOv8 are installed, and other AI agents are available through Monica for research projects. There are several project ideas around these technologies; a) Exploring the use of AI as a research assistant [fine time the model using articles on a specific topic]. b) Exploring the use of Langchain, a technology that allows several AI models to be strung together. c) OSRAI (Ocean Search and Rescue), a system to spot people and water craft from an autonomous fixed-wing high endurance drone, using Synthetic training data. d) Exploring text to 3-D model technologies that will lead to a complete synthetic image pipeline. This project will allow the lab to generate datasets for computer vision training. e) FSU Create! This is the MLab website, we are looking to make a team for this. f) University and Higher Ed use of AI report - a survey research project that will survey university leaders, asking to describe their effort to integrate AI into university programs, curriculum, etc. Other potential areas of research Music generation, music transcription, segmentation Autonomous vehicles using computer vision |
Research Tasks | UROP students continue to work on one of the projects or devise new ideas. Oftentimes, this leads to an undergraduate thesis. There is a combination of individual and teamwork in the lab, but it's mostly teamwork. MLabbers work in teams to set up an AI agent, learn how to train the agent, and use the resulting work to address or explore a solution to a real problem. Specifically, working knowledge of the Python programming language is essential. Prior experience with another programming language such as Java or C++ are equally acceptable. We use Anaconda Navigator in the lab, students receive instruction on how to work in a lab, using Conda environments, how to set up a work environment, use GitHub and copilot. If you are a noob with these -- no worries, we will get you up to speed. Each year, UROP students have an opportunity to publish an article in a conference. The MLab has a steady output of articles published in respected IEEE and education conferences. UROP students, then learn how to conduct a literature review, establish a research agenda, work through the research project to completion. Coaching is provided to turn the resulting work into a publication. |
Skills that research assistant(s) may need: | Required Programming experience Recommended Python |
Mentoring Philosophy | Teamwork is an important aspect of the lab. We work as a team, collaboration is key. A small group of professional bicycle riders working together is a Peloton. The teamwork required to make a Peloton is overt, and it’s thrilling to witness. Each rider takes a turn at the front of the pack, peddling as hard as possible for as long as they can endure. The mass of the following group creates a vortex. As each lead cyclist runs out of energy, they drop back to the rear, where the draft pulls last rider along without the need for peddling. The exhausted rider can rest, pulled along by the team. The rest of the team keeps the pack moving to complement the lead rider's efforts, until it is their turn to lead again. No matter how ambitious, or how strong a single cyclist might be, one cyclist cannot outrun a Peloton. Each MLabber makes a contribution to their project, sometimes we lead, other times we support others as they lead through their hard work. We respect collaboration and team effort. As a mentor: for the most part, I am hands-off. When the going is tough, I jump in to help navigate unfamiliar territory. Trial and error are expected. UROPers have my full support (and help) to learn by doing, figuring out what works. It’s a safe environment in which mentees feel that is acceptable to fail and learn from their mistakes. The goal is to learn. |
Please provide a link to your publications, a video clip, or a website for your research project (if applicable): | https://pilotmedia.com/jladams/ |
Please add any additional information here (if applicable): | Equipment The MLab has 5 Machine Learning stations. (1) Cyberpower 2080 Ti, 256 gb CPU RAM (2) Alienware 3090, Cyberpower 3090 64 gb CPU RAM (2) Alienware 4090, 64 gb CPU RAM Oculus Headset Fixed wing and rotary drone aircraft. |
Roundtable times and Zoom links | All Zoom meetings use the following: https://fsu.zoom.us/j/97124948078 Please contact me jladams@fsu.edu to make an appointment at any of the listed times. Tuesday (9/3) 13:00; 13:30; 14:00; 14:30; 15:00; 15:30; 16:00 Wednesday (9/4) 13:00; 13:30; 14:00; 14:30; 15:00; 15:30; 16:00 Thursday (9/5) 13:00; 13:30; 14:00; 14:30; 15:00; 15:30; 16:00 Friday (9/6) 13:00; 13:30; 14:00; 14:30; 15:00; 15:30; 16:00 |
Mentor Handbook, FAQs, and Communication | Yes |
UROP Performance Evaluation | Yes |
Materials Grant | Yes |
UROP Poster Presentation | Yes |
Year | 2023 |
update url | https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=vcGjL-4OTCC2Yu1HYbFy_pNAmzdzWEmzFOGnOM26ajI |