serial: '321'
sid: '7851'
uuid: 35bcb217-148a-4cf9-9717-db3b68cf742b
uri: /urop-research-mentor-project-submission-portal
created: '1685545850'
completed: '1685545850'
changed: '1715335406'
in_draft: '0'
current_page: ''
remote_addr: 73.48.124.21
uid: '0'
langcode: en
webform_id: urop_project_proposal_portal
entity_type: node
entity_id: '1116'
locked: '0'
sticky: '0'
notes: ''
data:
  approximately_how_many_hours_a_week_would_the_research_assistant: 5-10
  are_you_currently_looking_for_students_: 'No'
  confirmation_1: '1'
  contact_email_fsu_email: bravuri@fsu.edu
  contact_email_fsu_email2: ''
  contact_email_fsu_email_if_affiliated_: jladams@fsu.edu
  faculty_advisor_confirmation: ''
  faculty_advisor_name: ''
  faculty_advisor_s_fsu_email: ''
  fsu_college: 'Communication and Information'
  fsu_department_if_applicable_: Information
  headshot_optional_: '26481'
  if_the_project_location_is_off_campus_does_the_student_need_to_p: 'The CCI MLab is on campus, located in WJB 2021'
  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.
  mentor_handbook_and_faqs: '1'
  name_of_other_faculty_collaborator_if_applicable_: 'Lucas von Hollen, Keith Roberson '
  number_of_assistants_needed_faculty_postdoc_max_6_graduate_stude: '2'
  other_faculty_collaborator_s_preferred_pronouns: ''
  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  
  please_add_any_additional_information_here: |
    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.
  please_provide_a_link_to_your_publications_a_video_clip_or_a_web: 'https://pilotmedia.com/jladams/'
  please_select_the_choice_that_most_accurately_describes_your_exp: In-person
  please_select_the_location_of_your_project_: 'On FSU Main Campus'
  position_availability_for_student_research: 'Flexible schedule'
  position_title: Faculty
  primary_research_mentor_name: 'Jonathan Adams'
  project_keywords: 'Machine learning, artificial intelligence, computer vision, research'
  relevant_student_major_s_: |
    We prefer STEM majors. Working with AI requires some experience with a software language.  
    We use Python, Jupyter Notebooks. 
  research_mentor_preferred_pronoun2: ''
  research_mentor_pronouns: Dr.
  research_mentor_supervisor_if_different_from_above_: 'Ben Ravuri (doctoral candidate)'
  research_tasks_for_student_research_assistant_s_: |
    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. 
  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
  skills_that_research_assistants_may_need_: |
    Required
       Programming experience
    Recommended 
       Python
  title_of_the_project: 'CCI Machine Learning Lab'
  update_url: 'https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=vcGjL-4OTCC2Yu1HYbFy_pNAmzdzWEmzFOGnOM26ajI'
  urop_performance_evaluation: '1'
  urop_poster_presentation: '1'
  when_potential_research_assistants_are_reaching_out_via_email_2: Mr.
  when_potential_research_assistants_are_reaching_out_via_email_wh: ''
  when_students_are_reaching_out_via_email_what_is_your_preferreda: 'Dr. '
  would_you_like_to_participate_in_the_urop_research_mentor_roundt: ''
  year: '2023'