UROP Research Mentor Project Submission Portal: Submission #701

serial: '701'
sid: '14126'
uuid: 32f2f0b2-d06d-4acf-a3a4-b83484058586
uri: '/urop-research-mentor-project-submission-portal?webform_submission=14116'
created: '1722522641'
completed: '1722523215'
changed: '1724638913'
in_draft: '0'
current_page: ''
remote_addr: 71.220.132.26
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_: 'Yes'
  confirmation_1: '1'
  contact_email_fsu_email: ''
  contact_email_fsu_email2: ''
  contact_email_fsu_email_if_affiliated_: tw23l@fsu.edu
  faculty_advisor_confirmation: ''
  faculty_advisor_name: ''
  faculty_advisor_s_fsu_email: ''
  fsu_college: 'Arts and Sciences'
  fsu_department_if_applicable_: 'Computer Science Department'
  headshot_optional_: '44266'
  if_the_project_location_is_off_campus_does_the_student_need_to_p: ''
  mentoring_philosophy: |
    My mentoring philosophy is to cultivate students' passion, critical thinking, and self-learning capabilities in interdisciplinary research, and foster an inclusive, collaborative, and interactive environment where students can work and learn from each other, and enjoy the process of discovery and innovation. Throughout my career, I have mentored over 10 graduate students and 20 undergraduate students in interdisciplinary research. Most of them were capable of developing their passion, critical thinking, and research skills, eventually publishing papers in top conferences. Many of these students have gone on to pursue PhDs at prestigious universities, such as the University of Toronto, the University of Michigan, and Carnegie Mellon University, becoming independent researchers.
  mentor_handbook_and_faqs: '1'
  name_of_other_faculty_collaborator_if_applicable_: ''
  number_of_assistants_needed_faculty_postdoc_max_6_graduate_stude: '2'
  other_faculty_collaborator_s_preferred_pronouns: ''
  overall_research_project_description: 'The project aims to develop Smart Kangaroo Clothing to non-invasively monitor and analyze infant feeding behaviors, specifically intake, sucking and swallowing patterns, enhancing neonatal health and development. By integrating advanced sensors into comfortable, durable textiles, the clothing will collect real-time data on feeding and physiological parameters. Machine learning algorithms will analyze this data to provide actionable insights. Clinical trials will validate the accuracy and reliability of the system. This innovative wearable technology will bridge the gap between traditional kangaroo care and modern biomedical monitoring, offering a novel solution for continuous, real-time infant feeding analysis.'
  please_add_any_additional_information_here: ''
  please_provide_a_link_to_your_publications_a_video_clip_or_a_web: 'http://teyenwu.com'
  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: 'Te-Yen Wu'
  project_keywords: 'Smart Clothing, Wearable Technology, Health'
  relevant_student_major_s_: 'Computer Science, Electrical Engineering, Bio-medicine'
  research_mentor_preferred_pronoun2: ''
  research_mentor_pronouns: ''
  research_mentor_supervisor_if_different_from_above_: ''
  research_tasks_for_student_research_assistant_s_: |
    1. Design and Fabrication:
    Develop and prototype smart textiles integrated with sensors.
    Ensure the clothing is comfortable, safe, and suitable for infants.
    2. Sensor Integration:
    Integrate sensors to monitor sucking strength, frequency, intake volume, and physiological parameters.
    Develop algorithms for accurate data interpretation.
    3. Data Collection:
    Conduct experiments to collect real-time feeding and physiological data from infants.
    Ensure ethical standards and protocols are followed.
    4. Data Analysis:
    Use machine learning and data analytics to analyze collected data.
    Identify patterns and potential issues in infant feeding behaviors.
    5. Validation and Testing:
    Conduct clinical trials to validate the technology's accuracy and reliability.
    Compare results with existing monitoring methods.
  roundtable_times_and_zoom_links: ''
  skills_that_research_assistants_may_need_: |-
    1. Basic Programming:
    Experience with basic coding (e.g., Python).
    2. Data Entry and Analysis:
    Ability to enter and manage data accurately.
    Basic data analysis skills using tools like Excel.
    3, Technical Aptitude:
    Interested in basic electronics and sensor technology.
  title_of_the_project: 'Developing Smart Kangaroo Clothing for Monitoring Infant Feeding Behaviors'
  update_url: 'https://cre.fsu.edu/urop-research-mentor-project-submission-portal?element_parents=elements/research_mentor_information/headshot_optional_&webform_submission=14116&ajax_form=1&_wrapper_format=drupal_ajax&token=0TcMGJcvnorRarb0c49c188iJaJRRQ1H9deCpLMI_2Q'
  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: ''
  would_you_like_to_participate_in_the_urop_research_mentor_round2: 'No'
  would_you_like_to_participate_in_the_urop_research_mentor_roundt: ''
  year: '2024'