UROP Research Mentor Project Submission Portal: Submission #678 | Center for Undergraduate Research and Academic Engagement

Submission information

Submission Number: 678

Submission ID: 14006

Submission UUID: d10ef586-b1e8-4866-a9c9-f5b2ae71cc8b

Submission URI: /urop-research-mentor-project-submission-portal

Submission Update: /urop-research-mentor-project-submission-portal?token=qSihCKQABpHNDcMVHSUGKRYZZLa1LmJT5PGlF35wj6k

Created: Wed, 07/10/2024 - 10:38 AM

Completed: Wed, 07/10/2024 - 11:57 AM

Changed: Sun, 08/25/2024 - 10:07 PM

Remote IP address: 69.246.137.249

Submitted by: Anonymous

Language: English

Is draft: No

Webform: UROP Project Proposal Portal

Submitted to: UROP Research Mentor Project Submission Portal

Research Mentor Information

Primary Research Mentor Name Guang Wang

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Contact Email (FSU Email if affiliated) guang.wang@fsu.edu

Position Title Faculty

FSU College (if applicable) Arts and Sciences

FSU Department or Non-FSU Organization Affiliation Computer Science

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Additional Research Mentor(s)

Research Assistant Supervisor (if different from above) Lin Jiang

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Overall Project Details

Title of the Project Optimal Deployment of Electric Vehicle Charging Stations Across the State of Florida

Project Keywords Data Science, AI, Electric Vehicle, Smart Cities

Are you currently looking for research assistants? Yes

Number of Research Assistants Needed 2

Relevant Research Assistant Major(s) Computer Science, Data Science

Project Location: On FSU Main Campus

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Please select the choice that most accurately describes your expectations for the research assistant(s): Fully Remote

Approximately how many hours a week would the research assistant(s) need to work? 10

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 Despite billions of dollars of federal investments that promote transportation electrification, the state of Florida is still largely left behind with very low EV penetration and few charging resources. EV usage may be more beneficial for environmental, social, and economic sustainability. A key challenge for large-scale EV adoption is the inaccessibility of public charging infrastructure. Hence, in this project, we propose to develop a data-driven optimization framework for EV charging infrastructure deployment. In doing so, we aim to address multiple complicated technical and real-world challenges by performing the following tasks.
(i) Understanding the current charging station distribution in Florida.
(ii) Predicting charging demand in a fine-grained region, e.g., census block or zip code level.
(iii) Combining the predicted charging demand with other real-world conditions like population and POI distributions, we plan to design a decision-support tool to help deploy charging infrastructure by balancing different practical factors, such as (a) improving charging infrastructure accessibility and fairness to satisfy charging demand of EVs in different regions, (b) increasing charging resource utilization to improve the profitability of operators, and (c) reducing potential impacts on power grids, etc.

Research Tasks Students will conduct a comprehensive literature review about electric vehicle (EV) adoption and charging infrastructure deployment. Different datasets including mobility data, charging station data, and US census data will be analyzed. Machine learning models will be built for charging station siting and charging demand prediction.

Skills that research assistant(s) may need: Data collection and analysis skills are required.
Experience in Python is required.

Mentoring Philosophy My mentoring goal is to encourage every student to learn something. Based on my previous mentoring experiences, I think all students are talented and my role as a teacher is to guide them to knock on the correct door. To this end, my mentoring philosophy concentrates on the following two principles: (i) inclusiveness and equity to each student, and (ii) encouraging students to ask questions. I treat all students with respect and maintain academic fairness. In addition, I strive to create an equal learning environment and make students feel comfortable and supported. I think students can improve their performance after they know what they do not know, and a very effective way is by asking questions, so I usually encourage students to ask questions.

Please provide a link to your publications, a video clip, or a website for your research project (if applicable): www.guangwang.me

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Are you interested in participating in the UROP Research Mentor Roundtable? No

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UROP Program Elements

Mentor Handbook, FAQs, and Communication Yes

UROP Performance Evaluation Yes

Materials Grant Yes

UROP Poster Presentation Yes

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Year 2024

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