UROP Research Mentor Project Submission Portal: Submission #796

serial: '796'
sid: '14606'
uuid: 619dd5d6-ad9f-4ebc-9caf-22846327e40c
uri: /urop-research-mentor-project-submission-portal
created: '1723732161'
completed: '1724032552'
changed: '1726233465'
in_draft: '0'
current_page: ''
remote_addr: 73.42.15.2
uid: '0'
langcode: en
webform_id: urop_project_proposal_portal
entity_type: node
entity_id: '1116'
locked: '0'
sticky: '0'
notes: ''
metatag: meta
data:
  roundtable_info: {  }
  approximately_how_many_hours_a_week_would_the_research_assistant: '10'
  are_you_currently_looking_for_students_: 'No'
  confirmation_1: '1'
  contact_email_fsu_email: ''
  contact_email_fsu_email2: ''
  contact_email_fsu_email_if_affiliated_: plfernandez@fsu.edu
  faculty_advisor_confirmation: ''
  faculty_advisor_name: ''
  faculty_advisor_s_fsu_email: ''
  fsu_college: 'FAMU-FSU College of Engineering'
  fsu_department_if_applicable_: 'Civil and Environmental Engineering'
  headshot_optional_: '44771'
  if_the_project_location_is_off_campus_does_the_student_need_to_p: 'FSU Bus (Seminole Express)'
  mentoring_philosophy: 'Sharing your own experience - I often share my experience as an undergraduate research assistant and how it motivated me to pursue a career in academia.'
  mentor_handbook_and_faqs: '1'
  name_of_other_faculty_collaborator_if_applicable_: ''
  number_of_assistants_needed_faculty_postdoc_max_6_graduate_stude: '1'
  other_faculty_collaborator_s_preferred_pronouns: ''
  overall_research_project_description: |-
    This project aims to pioneer a self-driven experimental approach to study wind effects on the built environment. The goal is to integrate efficient and robust AI-driven tools into wind tunnel modeling to investigate complex wind flow behavior around buildings and other civil infrastructure (e.g., bridges, towers, etc.). 
    Numerical deep learning algorithms will be leveraged to assist wind tunnel modelers in the decision-making process to autonomously identify critical wind flow conditions that can cause damage to civil structures. 
    Components of the self-driven approach include air velocity and pressure sensors that collect information (i.e., data) on the flow conditions in the wind tunnel. This information is then processed and interpreted by deep learning models to generate new wind tunnel test configurations (e.g., adjust the position of the sensors, change the wind direction, etc.). Re-configuration of wind tunnel conditions is automated (using actuators) to rapidly investigate different turbulent regions in the wind tunnel. 
  please_add_any_additional_information_here: ''
  please_provide_a_link_to_your_publications_a_video_clip_or_a_web: 'https://scholar.google.com/citations?user=nzBOhdoAAAAJ&hl=en'
  please_select_the_choice_that_most_accurately_describes_your_exp: In-person
  please_select_the_location_of_your_project_: 'FAMU-FSU College of Engineering'
  position_availability_for_student_research: 'Flexible schedule'
  position_title: Faculty
  primary_research_mentor_name: 'Pedro Fernandez-Caban'
  project_keywords: 'wind tunnel, autonomous experimentation, buildings, turbulence, machine learning '
  relevant_student_major_s_: 'Civil Engineering, Mechanical Engineering, Industrial Engineering, Computer Science'
  research_mentor_preferred_pronoun2: ''
  research_mentor_pronouns: ''
  research_mentor_supervisor_if_different_from_above_: ''
  research_tasks_for_student_research_assistant_s_: |-
    The undergraduate student will be tasked with the following responsibilities:
    1)  Assist in the fabrication and instrumentation (e.g., installation of pressure sensors) of scaled building models 
    2) Collect wind tunnel velocity and pressure measurements 
    3) Perform data quality checks of wind tunnel data using basic statistical analysis procedures
  roundtable_times_and_zoom_links: |-
    Tuesday, September 3
    3:30-4:00pm (1st Meeting): https://fsu.zoom.us/j/98348258903 
    4:00-4:30pm (2nd Meeting): https://fsu.zoom.us/j/99296404437 
    4:30-5:00pm (3rd Meeting): https://fsu.zoom.us/j/98493123599
  skills_that_research_assistants_may_need_: |-
    1) Knowledge on fundamental statistical analysis approaches and procedures (required)
    2) Programming experience in Python or Matlab (recommended)
    3) Experience working with Excel or Google Sheets (required)
  title_of_the_project: 'AI-Driven Automated Experimentation in a Wind Tunnel'
  update_url: 'https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&ajax_form=1&_wrapper_format=drupal_ajax&token=OzMtg_I7-57AP7E2K4Wid7G2Gs94Ff77CvauuTkTC9c'
  urop_performance_evaluation: '1'
  urop_poster_presentation: '1'
  when_potential_research_assistants_are_reaching_out_via_email_2: ''
  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_round2: 'Yes'
  would_you_like_to_participate_in_the_urop_research_mentor_roundt: ''
  year: '2024'