UROP Research Mentor Project Submission Portal: Submission #437

Submission information
Submission Number: 437
Submission ID: 8456
Submission UUID: 836ad482-e257-4d67-97a2-2bc97718464a

Created: Mon, 08/14/2023 - 07:58 PM
Completed: Mon, 08/14/2023 - 08:07 PM
Changed: Thu, 08/24/2023 - 09:20 AM

Remote IP address: 146.201.27.181
Submitted by: Anonymous
Language: English

Is draft: No
Primary Research Mentor Name Maryam Pakdehi
Research Mentor Preferred Pronouns
When potential research assistants are reaching out via email, what is your preferred honorific?
Contact Email (FSU Email if affiliated) mp22bo@fsu.edu
Position Title Graduate Student
Faculty Advisor Name
Faculty Advisor's FSU Email
FSU College (if applicable) FAMU-FSU College of Engineering
FSU Department or Non-FSU Organization Affiliation Civil Engineering
Headshot (optional) Weston Brown Beige.jpg
Research Assistant Supervisor (if different from above) Ebrahim Ahmadisharaf
Research Assistant Supervisor Preferred Pronouns
Research Assistant Supervisor Preferred Honorific? Dr.
Contact Email (FSU Email if affiliated) eahmadisharaf@eng.famu.fsu.edu
Name of Other Faculty/Collaborator(s) (if applicable)
Other Faculty/Collaborator(s) Preferred Pronouns
Other Faculty/Collaborator(s) Preferred Honorific?
Contact Email (FSU Email if affiliated)
Title of the Project Exploring the Adaptability of Machine Learning Models for Predicting Flood Depths Across Different Areas
Project Keywords Flood prediction, machine learning models, adaptability, flood risk management
Are you currently looking for research assistants? Yes
Number of Research Assistants Needed 2
Relevant Research Assistant Major(s) Environmental engineering, Civil engineering, Computer engineering
Project Location: On FSU Main Campus
If the project location is off campus, does the research assistant(s) need to provide their own transportation?
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? 4-5
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 This proposal outlines a collaborative project between an undergraduate student and myself, focusing on examining how machine learning models can predict flood depths in diverse locations. Our initial models showed promise in a coastal area during Hurricane Ida and worked well in other events. However, we want to expand their potential. The project involves collecting and preparing data from various regions, using tools like Excel and ArcGIS. This process will help students become familiar with flood data and prediction. This effort will assess how well the models can predict flood depths in these different contexts, advancing the development of effective flood prediction tools.
Research Tasks • Gather and organize flood-related existing data from publicly accessible websites.
• Preprocess the data using Excel, ArcGIS, and other existing software.
• Participate in the classification of different regions based on model performance.
Skills that research assistant(s) may need: • Proficiency in data handling using tools like Excel and ArcGIS.
• Analytical skills for interpreting model results.
• Ability to work both independently and collaboratively in a research setting.
Mentoring Philosophy My mentoring philosophy is rooted in cultivating a dynamic and supportive relationship with students. I believe in guiding students beyond mere task completion, nurturing their growth as researchers and individuals. I emphasize the practical applications of research theories, establish well-defined project tasks, maintain transparent communication, and proactively address challenges. My aim is to empower students to innovate and think creatively, while providing steady guidance to ensure their success. Through this approach, the additional mentor (Dr. Ebrahim Ahmadisharaf) has successfully guided a UROP student to secure a prestigious research internship, illustrating the effectiveness of a holistic mentoring strategy.
Please provide a link to your publications, a video clip, or a website for your research project (if applicable):
Please add any additional information here (if applicable): Implications of this Work: This research has the potential to reshape flood prediction methods by showing how machine learning models can adapt across different areas. The insights gained can inform the creation of flexible flood prediction tools that transcend geographical boundaries. This work enhances our grasp of flood dynamics and contributes to effective flood risk management, ultimately protecting communities and minimizing the impact of devastating floods.
Mentor Handbook, FAQs, and Communication Yes
UROP Performance Evaluation Yes
Materials Grant Yes
UROP Poster Presentation Yes
Faculty Advisor Confirmation
Are you interested in attending in a UROP Research Mentor Workshop Series? No
Year 2023
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