serial: '407'
sid: '8306'
uuid: b89269c3-2991-47ee-b7a9-813359d974df
uri: /urop-research-mentor-project-submission-portal
created: '1691687213'
completed: '1691715936'
changed: '1695666875'
in_draft: '0'
current_page: ''
remote_addr: 146.201.84.13
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 hours a week'
  are_you_currently_looking_for_students_: 'No'
  confirmation_1: '1'
  contact_email_fsu_email: eahmadisharaf@eng.famu.fsu.edu
  contact_email_fsu_email2: ''
  contact_email_fsu_email_if_affiliated_: ec22ba@fsu.edu
  fsu_college: 'FAMU-FSU College of Engineering'
  fsu_department_if_applicable_: 'Civil & Environmental Engineering'
  headshot_optional_: '26356'
  if_the_project_location_is_off_campus_does_the_student_need_to_p: 'No'
  mentoring_philosophy: |-
    As a second-year postdoctoral scholar with a passion for statistical analysis, my mentoring philosophy revolves around fostering a collaborative and supportive learning environment. I genuinely enjoy sharing my skills and knowledge with students, and mentoring is a core motivation for my pursuit of a career in academia. I believe that data collection and statistical analysis are instrumental across all research disciplines, particularly in the context of climatic data in the United States. My goal is to impart my expertise in generating insightful and visually appealing figures through the application of statistical techniques. 

    1. Collaborative Learning: Encourage students to actively engage in discussions, ask questions, and share their ideas, fostering a sense of community and teamwork in the learning process.
    2. Tailored Guidance: Recognize the unique strengths, skills, backgrounds, and learning styles of each student, and adjust my mentoring approaches accordingly to ensure individual growth and development.
    3. Skill Development: Focus on building essential skills, such as data collection, data cleaning, statistical analysis, and data visualization—an effective foundation applicable across various research areas.
    4. Open Communication: Maintain regular communication with students, provide constructive feedback, and openly discuss their progress, challenges, and concerns.
    5. Professional and Personal Growth: Support students not only in their academic endeavors but also in their personal and professional development, helping them cultivate resilience, adaptability, and a growth mindset.
  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: 'In 2023, the USA is experiencing unprecedented extreme weather conditions. In this year, El Paso, Texas experienced a record 38 consecutive days of temperatures above 100°F, and Phoenix is on track to be the first major U.S. city to average over 100°F for an entire month. Miami also had a 43-day streak of temperatures topping 100°F, and Las Vegas set a record daily temperature of 115°F with sidewalks reaching 143.9°F. In light of these circumstances, this project aims to collect all available data to determine the severity of extreme heat in the US compared to historical records. We will not only analyze raw data, but also delve into the frequency of heat events, such as their occurrence probability. Utilizing comprehensive statistical analysis, we will provide visual representations of our findings through GIS software. The entire process of gathering data, employing analytical tools, and creating visualizations will be immensely beneficial for aspiring researchers. Upon completing this project, we aim to share our valuable insights into the ongoing extreme weather conditions by submitting our research findings to prestigious journals.'
  please_add_any_additional_information_here: 'Please e-mail ec22ba@fsu.edu if you have any questions regarding the project.'
  please_provide_a_link_to_your_publications_a_video_clip_or_a_web: 'https://scholar.google.com/citations?user=jPEC3-sAAAAJ&hl=ko&oi=ao'
  please_select_the_choice_that_most_accurately_describes_your_exp: 'Partially Remote'
  please_select_the_location_of_your_project_: 'On FSU Main Campus'
  position_availability_for_student_research: 'Flexible schedule'
  position_title: 'Post Doc'
  primary_research_mentor_name: 'Eunsaem Cho, PhD'
  project_keywords: 'Climate change; Data science; Statistical technique; Research capacity'
  relevant_student_major_s_: 'Civil Engineering; Water Resources Engineering; Probability and Statistics; Hydrology'
  research_mentor_preferred_pronoun2: he/him/his
  research_mentor_pronouns: he/him/his
  research_mentor_supervisor_if_different_from_above_: 'Ebrahim Ahmadisharaf'
  research_tasks_for_student_research_assistant_s_: |-
    Research tasks will differ based on the major you're coming from. However, some general tasks can be outlined as follows:
    1. Data Collection
    - Compile historical temperature records across the United States
    - Obtain meteorological data related to extreme weather patterns and contributing factors
    2. Data Analysis
    - Preprocess and clean the collected data for analysis
    - Investigate patterns and trends in temperature data, comparing 2023 with historical records
    3. Statistical Analysis
    - Apply appropriate statistical methods to assess the significance of the observed patterns and trends
    - Estimate probabilities of heat events occurring over different time intervals
    4. GIS Visualization
    - Use GIS software to create visual representations of temperature patterns and trends
    - Generate heat maps to display spatial distribution of heat events across the United States
  roundtable_times_and_zoom_links: |-
    Date/time: September 7th / 2:00 pm -  2:30 pm
    Zoom link: https://teams.microsoft.com/l/meetup-join/19%3ameeting_NzJhZGIzMDktNWY2ZS00ZjE4LWJkNTAtMzNhMjBiYWI1ODJm%40thread.v2/0?context=%7b%22Tid%22%3a%22a36450eb-db06-42a7-8d1b-026719f701e3%22%2c%22Oid%22%3a%22a33a7108-7192-4a22-ad15-b9ae86ab754a%22%7d
  skills_that_research_assistants_may_need_: |-
    "Required Skills"
    - Good communication, including the ability to explain complex concepts clearly
    - Eagerness to learn, accept challenges, and adapt to new situations
    "Recommended Skills"
    - Experience with R programming for data manipulation and analysis
    - Experience with ArcGIS for spatial data visualization and mapping
  title_of_the_project: 'Visualization of Extreme Heat in 2023 USA: A Data-Driven Approach Using Cutting-edge Statistical Technique'
  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=nVMGV2-hbNDnQglCyCKGY6-reNxPyWrZfMPB04xAyos'
  urop_performance_evaluation: '1'
  urop_poster_presentation: '1'
  when_potential_research_assistants_are_reaching_out_via_email_2: Dr.
  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'