Research Mentor Information
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Primary Research Mentor Name: Guang Wang
Research Mentor Preferred Pronouns: {Empty}
When potential research assistants are reaching out via email, what is your preferred honorific?: Dr.
Contact Email (FSU Email if affiliated): gw22g@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)
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Research Assistant Supervisor (if different from above): {Empty}
Research Assistant Supervisor Preferred Pronouns: {Empty}
Research Assistant Supervisor Preferred Honorific?: {Empty}
Contact Email (FSU Email if affiliated): {Empty}
Name of Other Faculty/Collaborator(s) (if applicable): {Empty}
Other Faculty/Collaborator(s) Preferred Pronouns: {Empty}
Other Faculty/Collaborator(s) Preferred Honorific?: {Empty}
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Overall Project Details
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Title of the Project: ***Electric Vehicle Promotion in Rural Communities for Environmental, Social, and Economic Sustainability
Project Keywords: Electric Vehicle, Sustainability, Machine Learning, Data Analysis
Are you currently looking for research assistants?: Yes
Number of Research Assistants Needed : 2
Relevant Research Assistant Major(s):
Computer Science, Statistics, Civil Engineering, Industria Engineering, Geography, Social Science Majors

Project Location:: On FSU Main Campus
If the project location is off campus, does the research assistant(s) need to provide their own transportation?: {Empty}
Please select the choice that most accurately describes your expectations for the research assistant(s):: Partially Remote
Approximately how many hours a week would the research assistant(s) need to work?: 10 hours
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, rural communities are still largely left behind with very low EV penetration and few charging resources. EV usage in rural communities may be more beneficial for environmental, social, and economic sustainability due to the longer driving distances and high driving frequencies of rural communities for different personal and professional uses (e.g., for purchasing daily necessities, recreation, work, and transporting agricultural implements, etc). Therefore, adopting EVs in rural communities not only helps improve environmental benefits but also has the potential to promote an equitable transition to clean energy and mitigate the wealth disparity between rural communities and urban communities. In this project, we propose to develop a data-driven socially informed framework to help promote EV adoption for rural innovation towards environmental, social, and economic sustainability. In doing so, we aim to address multiple complicated technical and real-world challenges by performing the following tasks.
(i)	Investigating drivers and barriers to EV adoption in rural communities. We plan to conduct comprehensive analyses of barriers and drivers from different stakeholders’ perspectives (e.g., rural residents, charging infrastructure operators, utility agencies, and governments). We will use mixed methods, including surveys, panels, and big data analytics. 
(ii)	Predicting charging demand in rural areas. Based on our accessed large-scale fine-grained human mobility data and socioeconomic data from both urban and rural areas, combined with EV charging data from urban areas, we plan to extract social activity patterns (e.g., visitation frequency and dwelling time) and charging patterns (e.g., charging duration and frequencies). We then plan to predict charging demand in rural areas based on rural mobility patterns, socioeconomic status, and charging patterns in urban areas.
(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 to satisfy charging demand of EVs, (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 literature review about electric vehicle (EV) adoption and deployment. Different datasets including survey data, mobility 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::
Literature review experience is recommended.
Data collection and analysis skills are required.
Experience in Python is recommended.

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):: http://guangwang.me/
Please add any additional information here (if applicable)::
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UROP Program Elements
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Mentor Handbook, FAQs, and Communication: Yes
UROP Performance Evaluation: Yes
Materials Grant: Yes
UROP Poster Presentation: Yes

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Year: 2023
update url: https://cre.fsu.edu/urop-research-mentor-project-submission-portal?token=3LZx5OKZFFsrAJkHKcuLdMAkOd58oOZINpriorX6VIg