UROP Project
aging, technology, meta-analysis, computers, cognitive psychology
Research Mentor: Dorota Kossowska-Kuhn,
Department, College, Affiliation: Psychology, Arts and Sciences
Contact Email: kuhn@psy.fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Psychology, Arts and Sciences
Contact Email: kuhn@psy.fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Open to all majors.
Project Location: remotely
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 5-10,
Roundtable Times and Zoom Link: Tuesday, Sept. 3: 2-2:30, 2:30-3
Wednesday, Sept. 4: 3-3:30, 3:30-4pm
Thursday, Sept. 5: 2-2:30, 2:30-3
Zoom link for all meetings: https://fsu.zoom.us/j/2290878150
Meeting ID: 229 087 8150
Number of Research Assistants: 2
Relevant Majors: Open to all majors.
Project Location: remotely
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 5-10,
Roundtable Times and Zoom Link: Tuesday, Sept. 3: 2-2:30, 2:30-3
Wednesday, Sept. 4: 3-3:30, 3:30-4pm
Thursday, Sept. 5: 2-2:30, 2:30-3
Zoom link for all meetings: https://fsu.zoom.us/j/2290878150
Meeting ID: 229 087 8150
Project Description
Population aging and age-related cognitive declines present unprecedented challenges for the United States and the world. Social, cognitive, and activity engagement has the potential to protect against cognitive declines in middle-aged and older adults. Information communication technologies (ICT) can provide opportunities for all those engagements. Numerous cross-sectional and longitudinal studies suggest that ICT use in late adulthood is associated with cognitive benefits, while experimental studies providing ICTs and ICT trainings to older non-users showed mixed results. The current study aims to: (1) quantify the associations between ICT use and baseline cognition in cross-sectional and longitudinal studies, (2) quantify the protective effects of ICT use on cognitive changes in longitudinal studies, and (3) examine whether introducing ICTs to older non-users has cognitive benefits.Research Tasks: - data collection
- literature review
- data analysis
Skills that research assistant(s) may need: All motivated and hardworking students are welcome.
Mentoring Philosophy
My mentoring philosophy revolves around empowering undergraduate students to excel in their project work through a combination of ownership, accountability, shared experience, and interactive learning. I believe in fostering an environment that nurtures their growth and encourages independent thinking.I emphasize giving mentees ownership of their work by involving them in project decisions, from goal setting to execution. This not only bolsters their confidence but also instills a sense of responsibility for their outcomes. I promote accountability by setting clear expectations and milestones, enabling them to track their progress and take pride in their achievements.
Drawing from my own experience, I share stories of challenges and successes, illustrating the real-world applications of their efforts. This bridges the gap between theory and practice, enhancing their understanding and motivation. I also encourage open dialogue, where questions and ideas are welcomed, creating an interactive platform for collaborative learning.
I understand that each student is unique, with varying skills and aspirations. To accommodate this, I tailor my guidance, offering guidance that aligns with their interests and goals. I provide resources, recommend reading materials, and suggest relevant workshops, fostering holistic development.
In conclusion, my approach to mentoring undergraduates centers on nurturing their autonomy, cultivating responsibility, leveraging shared experiences, and fostering an interactive learning ecosystem. By doing so, I aim to not only support their immediate project objectives but also to equip them with lifelong skills for success.
Additional Information
Link to Publications
Parental Leave, STEM, Policies, Diversity, Engineering, Women in STEM, Robotics
Research Mentor: Dr. or Prof. Taylor Higgins, She/her
Department, College, Affiliation: Florida State University, FAMU-FSU College of Engineering
Contact Email: th22u@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Florida State University, FAMU-FSU College of Engineering
Contact Email: th22u@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Open to all majors (slight preference for those in STEM fields, but really it doesn't matter to me!)
Project Location: AME Building (2003 Levy Ave. Tallahasse, FL)
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10 (negotiable),
Roundtable Times and Zoom Link: Not participating in the Roundtable
Number of Research Assistants: 2
Relevant Majors: Open to all majors (slight preference for those in STEM fields, but really it doesn't matter to me!)
Project Location: AME Building (2003 Levy Ave. Tallahasse, FL)
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10 (negotiable),
Roundtable Times and Zoom Link: Not participating in the Roundtable
Project Description
As a female in academia who recently had a baby, I am curious about what current maternity leave policies are for universities around the United States and understanding how the FAMU-FSU policy compares. Eventually I would like to make strategic efforts to ensure that FAMU-FSU is a welcoming place for young female scientists to work. To prepare for this effort, I need to know what our policies are, what other university policies are, how our current policies are received by young female academics, and how our current policies could affect our ability to recruit and retain strong female faculty candidates in STEM. As a researcher on this project, you will help me to collect data along these lines, create/distribute surveys for women in STEM to voice their opinions, analyze results, and write a report and/or presentation for us to share our findings with members of the community/administration/etc. This is a project that I am personally very passionate about and that I hope will be a very rewarding project with tangible benefits for women and families in academia.Research Tasks: Data collection via online research and surveys, data analysis, writing report on our results
Skills that research assistant(s) may need: Good communication skills - I need someone who is particularly good at sharing our findings with the larger community in order to make a difference in future policy decisions.
Good sleuthing skills - I need someone who is good at finding information online (figuring out the current parental leave policies at other universities), and who can find literature showing the effects of various leave policies on faculty recruitment and diversity.
Mentoring Philosophy
As a mentor, I work best with students who are inquisitive, pro-active, and problem solvers. I do not like to micro-manage. I see my job as being a resource to my research students, helping to solve problems when stuck, providing overall vision, and occasionally giving nudges in the right direction. I see my students as the expert in their given project, and I expect students to go learn skills, find possible solutions, try many things that may or may not work, and ultimately to come to research meetings ready to teach me all the cool things they’ve learned, tried, and developed. I aim to creating a safe environment in which mentees feel that it is acceptable to fail and learn from their mistakes. I do expect mentees to take ownership of their work and have accountability for their effort in the project. Overall, I want to do fun engineering work that makes a difference in human lives, and I want my students to feel empowered to do difficult things and solve challenging problems.Additional Information
Link to Publications
https://rthmlab.wixsite.com/taylorgambon
Robotics, prosthetics, exoskeletons, human robot interaction
Research Mentor: Dr. or Prof. Taylor Higgins, She/her
Department, College, Affiliation: Florida State University, FAMU-FSU College of Engineering
Contact Email: th22u@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Florida State University, FAMU-FSU College of Engineering
Contact Email: th22u@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Mechanical/Electrical/Biomedical Engineering, Computer Science
Project Location: AME Building (2003 Levy Ave. Tallahasse, FL)
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10 (negotiable),
Roundtable Times and Zoom Link: Not participating in the Roundtable
Number of Research Assistants: 2
Relevant Majors: Mechanical/Electrical/Biomedical Engineering, Computer Science
Project Location: AME Building (2003 Levy Ave. Tallahasse, FL)
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10 (negotiable),
Roundtable Times and Zoom Link: Not participating in the Roundtable
Project Description
Robotic lower-limb prostheses need to be able to determine what action the amputee is trying to accomplish in order to help them to achieve that goal. For instance, if the user is trying to sit down, the robotic knee joint must bend at just the right time to allow the sit action. This problem is called ‘intent recognition’. This project aims to leverage computer vision and human motion capture to improve intent recognition for these types of robots. In this case, we are collecting data as individuals go through normal activities of daily living so that we can then develop algorithms to recognize objects in the environment that the user is likely to interact with, and then reason about what these objects and their proximity tell us about the user’s intended actions.Research Tasks: Data analysis, data collection, human subject research, programming
Skills that research assistant(s) may need: Matlab programming experience. Other languages of programming, such as Python and/or C++ are welcome, but not necessary. Human subject research.
Mentoring Philosophy
As a mentor, I work best with students who are inquisitive, pro-active, and problem solvers. I do not like to micro-manage. I see my job as being a resource to my research students, helping to solve problems when stuck, providing overall vision, and occasionally giving nudges in the right direction. I see my students as the expert in their given project, and I expect students to go learn skills, find possible solutions, try many things that may or may not work, and ultimately to come to research meetings ready to teach me all the cool things they’ve learned, tried, and developed. I aim to creating a safe environment in which mentees feel that it is acceptable to fail and learn from their mistakes. I do expect mentees to take ownership of their work and have accountability for their effort in the project. Overall, I want to do fun engineering work that makes a difference in human lives, and I want my students to feel empowered to do difficult things and solve challenging problems.Additional Information
Link to Publications
https://rthmlab.wixsite.com/taylorgambon
Robotics, prosthetics, exoskeletons, human robot interaction, motor learning, mechatronics
Research Mentor: Dr. or Prof. Taylor Higgins, She/her
Department, College, Affiliation: Florida State University, FAMU-FSU College of Engineering
Contact Email: th22u@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Florida State University, FAMU-FSU College of Engineering
Contact Email: th22u@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Mechanical/electrical/biomedical engineering and computer science.
Project Location: AME Building (2003 Levy Ave. Tallahasse, FL)
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10 (negotiable),
Roundtable Times and Zoom Link: Not participating in the Roundtable
Number of Research Assistants: 2
Relevant Majors: Mechanical/electrical/biomedical engineering and computer science.
Project Location: AME Building (2003 Levy Ave. Tallahasse, FL)
Research Assistant Transportation Required: Yes Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10 (negotiable),
Roundtable Times and Zoom Link: Not participating in the Roundtable
Project Description
Technologies like rehabilitation exoskeletons aim to help humans to regain motor skills that have been lost because of injury or disease. One skill of particular interest is to re-train how to walk. Walking is a challenging dynamic task involving multiple degrees-of-freedom needing to coordinate in order to achieve forward movement without falling. In order to study how humans learn to perform tasks like this, we are studying the biomechanics and motor learning involved in the development of a similarly dynamic and tricky task – learning to ride a unicycle. We have developed a human subject experiment where are collecting human motion capture and other biomechanics-related signals as subjects learn to ride a unicycle under various conditions. We are also developing a robotically powered unicycle so that we can study the effect of robotic assistance during the development of the skill. The idea is that with this platform, we can answer questions about robotically assisted motor learning that will be useful across many robotic assistance platforms such as exoskeletons.Research Tasks: Researchers will need to help me to add a few extra sensors to the unicycle so that we can collect more data as subjects learn to ride it. Specifically, we will need to collect data from an IMU and an encoder using a Raspberry Pi. This is mainly a MECHATRONICS task/project.
Skills that research assistant(s) may need: No need to know how to ride a unicycle! I do need someone who is interested in mechatronics.
Mentoring Philosophy
As a mentor, I work best with students who are inquisitive, pro-active, and problem solvers. I do not like to micro-manage. I see my job as being a resource to my research students, helping to solve problems when stuck, providing overall vision, and occasionally giving nudges in the right direction. I see my students as the expert in their given project, and I expect students to go learn skills, find possible solutions, try many things that may or may not work, and ultimately to come to research meetings ready to teach me all the cool things they’ve learned, tried, and developed. I aim to creating a safe environment in which mentees feel that it is acceptable to fail and learn from their mistakes. I do expect mentees to take ownership of their work and have accountability for their effort in the project. Overall, I want to do fun engineering work that makes a difference in human lives, and I want my students to feel empowered to do difficult things and solve challenging problems.Additional Information
Link to Publications
https://rthmlab.wixsite.com/taylorgambon
Meteorology, Rainfall, Florida, Rainy Season, Regional Climate Model
Research Mentor: Dr. Jayasankar Chempampadam Balasubramannian,
Department, College, Affiliation: Center for Ocean-Atmospheric Prediction Studies (COAPS), N/A
Contact Email: jcb@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators: Prof. Vasubandhu Misra
Faculty Collaborators Email: vmisra@fsu.edu
Department, College, Affiliation: Center for Ocean-Atmospheric Prediction Studies (COAPS), N/A
Contact Email: jcb@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators: Prof. Vasubandhu Misra
Faculty Collaborators Email: vmisra@fsu.edu
Looking for Research Assistants: Yes
Number of Research Assistants: 1
Relevant Majors: Students with some background in computer programming and a reasonable GPA in math and physics (3.25 or higher) will be preferred.
Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 8,
Roundtable Times and Zoom Link: Friday. Sept 6, from 1.45 pm to 2.15 pm, Zoom: https://fsu.zoom.us/j/4296397708
Number of Research Assistants: 1
Relevant Majors: Students with some background in computer programming and a reasonable GPA in math and physics (3.25 or higher) will be preferred.
Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 8,
Roundtable Times and Zoom Link: Friday. Sept 6, from 1.45 pm to 2.15 pm, Zoom: https://fsu.zoom.us/j/4296397708
Project Description
Florida has a distinct wet season that plays a crucial role in meeting the state's annual water needs and beyond. Our previous research with observation datasets has revealed that, along with seasonal rainfall anomalies, the length of the wet season significantly contributes to its variability across Florida. Additionally, variations in the onset date of the rainy season are closely related to anomalies in both the length of the season and total accumulated rainfall. Given Florida's distinct seasonal cycle of precipitation and its year-to-year fluctuations, we have been motivated to explore methods to monitor the evolution of the rainy season more effectively. Prior studies suggest that an earlier onset of the rainy season often leads to a wetter or longer season, while a delayed onset may result in a drier or shorter season, indicating a predictive relationship between onset dates and seasonal length and total rainfall. The primary objective of this study is to accurately identify the onset and retreat of the rainy season across Florida using rainfall obtained from high-resolution regional climate model simulations. We aim to validate this regional climate model by assessing its ability to replicate the observed relationships between the onset date, the length of the season, and the total rainfall, thereby enhancing our predictive capabilities regarding the state's wet season dynamics.Research Tasks: This research involves data collection (rainfall data from regional climate model), analysis, and visualization. All tasks can be done remotely by using any computer. Research students will learn any one or more visualization or data analysis packages (e.g. Python, Matlab, NCL and GrADS) during the research period. Research student will investigate the variability of the onset and retreat date of Florida. Research students will have the opportunity to interact with other team members to discuss/present the research outputs.
Skills that research assistant(s) may need: Recommended: Interest in meteorology/atmospheric science, computer programming (python), data analysis, visualization/plotting
Required: Be prepared to learn some Python
Mentoring Philosophy
As a mentor, I focus on sharing knowledge and helping my mentees improve their weaknesses. I believe in open communication, encouraging my mentees to share their challenges after giving their best effort. I regularly meet with them to provide support, suggest relevant training, and foster a safe, comfortable, and beneficial mentoring environment.Additional Information
Link to Publications
https://scholar.google.com/citations?user=uOO1xfcAAAAJ&hl=en&oi=ao
Meteorology, Rainfall, Florida, Rainy Season, Regional Climate Model, Climate Change
Research Mentor: Dr. Jayasankar Chempampadam Balasubramannian,
Department, College, Affiliation: Center for Ocean-Atmospheric Prediction Studies (COAPS), N/A
Contact Email: jcb@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators: Prof. Vasubandhu Misra
Faculty Collaborators Email: vmisra@fsu.edu
Department, College, Affiliation: Center for Ocean-Atmospheric Prediction Studies (COAPS), N/A
Contact Email: jcb@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators: Prof. Vasubandhu Misra
Faculty Collaborators Email: vmisra@fsu.edu
Looking for Research Assistants: Yes
Number of Research Assistants: 1
Relevant Majors: Students with some background in computer programming and a reasonable GPA in math and physics (3.25 or higher) will be preferred.
Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 8,
Roundtable Times and Zoom Link: Friday. Sept 6, from 1.45 pm to 2.15 pm, Zoom: https://fsu.zoom.us/j/4296397708
Number of Research Assistants: 1
Relevant Majors: Students with some background in computer programming and a reasonable GPA in math and physics (3.25 or higher) will be preferred.
Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 8,
Roundtable Times and Zoom Link: Friday. Sept 6, from 1.45 pm to 2.15 pm, Zoom: https://fsu.zoom.us/j/4296397708
Project Description
Florida has a distinct wet season that plays a crucial role in meeting the state's annual water needs and beyond. Our previous research with observation datasets has revealed that, along with seasonal rainfall anomalies, the length of the wet season significantly contributes to its variability across Florida. Additionally, variations in the onset date of the wet season are closely related to anomalies in both the length of the season and total accumulated rainfall. Given Florida's distinct seasonal cycle of precipitation and its year-to-year fluctuations, we have been motivated to explore methods to monitor the evolution of the wet season more effectively. Prior studies suggest that an earlier onset of the wet season often leads to a wetter or longer season, while a delayed onset may result in a drier or shorter season, indicating a predictive relationship between onset dates and seasonal length and total rainfall. The primary objective of this study is to accurately identify the onset and retreat of the wet season across Florida using rainfall obtained from high-resolution regional climate model simulations. Our initial goal is to validate the regional climate model by evaluating its ability to accurately replicate the observed relationships between the onset date, the length of the wet season, and total rainfall. Following this validation, we will estimate projected changes in the onset and retreat of the wet season, as well as the seasonal length and accumulated rainfall. These insights will be valuable for future adaptation and mitigation planning.Research Tasks: This research involves data collection (rainfall data from regional climate model), analysis, and visualization. All tasks can be done remotely by using any computer. Research students will learn any one or more visualization or data analysis packages (e.g. Python, Matlab, NCL and GrADS) during the research period. Research student will investigate the variability and the projected changes of the onset and retreat date of Florida. Research students will have the opportunity to interact with other team members to discuss/present the research outputs.
Skills that research assistant(s) may need: Recommended: Interest in meteorology/atmospheric science, computer programming (python), data analysis, visualization/plotting
Required: Be prepared to learn some Python
Mentoring Philosophy
As a mentor, I focus on sharing knowledge and helping my mentees improve their weaknesses. I believe in open communication, encouraging my mentees to share their challenges after giving their best effort. I regularly meet with them to provide support, suggest relevant training, and foster a safe, comfortable, and beneficial mentoring environment.Additional Information
Link to Publications
https://scholar.google.com/citations?user=uOO1xfcAAAAJ&hl=en&oi=ao
Graph Neural Networks, Social Networks, Recommendation Systems, Scalable Machine Learning, Inductive Learning
Research Mentor: Dr. Yushun Dong, he/his/him
Department, College, Affiliation: Department of Computer Science, Arts and Sciences
Contact Email: yd24f@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Department of Computer Science, Arts and Sciences
Contact Email: yd24f@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: No
Number of Research Assistants: 6
Relevant Majors: Computer Science, Electrical and Computer Engineering, Data Science, Applied Mathematics, Statistics
Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 5 - 10 hours,
Roundtable Times and Zoom Link: Thursday, Sept. 5th from 2PM - 2:30PM ET
Zoom link: https://fsu.zoom.us/j/7153751215
Number of Research Assistants: 6
Relevant Majors: Computer Science, Electrical and Computer Engineering, Data Science, Applied Mathematics, Statistics
Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 5 - 10 hours,
Roundtable Times and Zoom Link: Thursday, Sept. 5th from 2PM - 2:30PM ET
Zoom link: https://fsu.zoom.us/j/7153751215
Project Description
This project aims to develop novel graph learning frameworks to facilitate inductive and scalable recommendations on large-scale social networks. The research focuses on overcoming the limitations of existing Graph Neural Networks (GNNs) by designing a model that can be trained with limited computational costs and easily generalized to unseen social networks without retraining. The proposed framework will leverage both structural and positional encoding to achieve scalable and inductive recommendations, potentially improving the efficiency of recommendation systems on online social network platforms.Research Tasks: (1) Develop a scalable and inductive method for social network recommendation
(2) Design and implement a novel message-passing graph neural network model
(3) Implement and optimize the proposed graph learning framework
(4) Conduct offline evaluations using public and anonymous recommendation datasets
(5) Analyze and compare performance metrics such as NDCG and other industrial recommendation metrics with alternative models
Skills that research assistant(s) may need: (Recommended) Strong programming skills, particularly in Python
(Recommended) Experience with machine learning frameworks (e.g., PyTorch, TensorFlow)
(Recommended) Familiarity with recommendation systems and social network analysis
Mentoring Philosophy
As the principal investigator, I believe in fostering a collaborative and supportive research environment. Research assistants will have the opportunity to work closely with me and other team members, including PhD student Yushun Dong. We encourage creative thinking, rigorous analysis, and open communication. Research assistants will be given the opportunity to contribute to cutting-edge research in graph machine learning and recommendation systems, with the potential for co-authorship in research publications. We also value the development of practical skills through collaboration with our industry partners, bringing potential opportunities such as internships.Additional Information
The project builds upon the PI's strong research experience in graph machine learning, with opportunities to work on research paper submissions and research topics that are closely related to the listed one.Successful candidates will be able to continue working with the research group under a broader scope of collaborations leading to a track record of high-impact publications and industry collaborations.
If you are interested, please visit the site below for a toy research example. Please share your opinions with me to gain priority on working with me by reaching out to yd24f@fsu.edu.
https://yushundong.github.io/files/2024_toy_essay.pdf
Link to Publications
https://scholar.google.com/citations?hl=en&user=_QUhuOMAAAAJ
Archaeology, AI, Remote Sensing, Lidar, GEE, Central America
Research Mentor: Dr. Anna Cohen, she/her
Department, College, Affiliation: Florida State University, Arts and Sciences
Contact Email: anna.cohen@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Florida State University, Arts and Sciences
Contact Email: anna.cohen@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: No
Number of Research Assistants: 4
Relevant Majors: Open to all majors
Project Location: On FSU Main Campus
Research Assistant Transportation Required: Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10,
Roundtable Times and Zoom Link: Not participating in the Roundtable
Number of Research Assistants: 4
Relevant Majors: Open to all majors
Project Location: On FSU Main Campus
Research Assistant Transportation Required: Remote or In-person: Partially Remote
Approximate Weekly Hours: 5-10,
Roundtable Times and Zoom Link: Not participating in the Roundtable
Project Description
This project will use AI and remote sensing data to identify archaeological sites in Honduras and Mexico. Using information from existing archaeological data, this project will build an AI program to identify ancient architecture and human-modified landscapes from remote sensing technologies. Use of satellite, airborne lidar, and Google Earth Engine data may be useful. This project has implications for reassessing pre-European archaeology in Central America, and for contributing to the use of AI and remote sensing in archaeology.Research Tasks: Research tasks will include building an AI program, identifying archaeological sites manually from satellite images and lidar products, and conducting background research on Central American archaeology.
Skills that research assistant(s) may need: Recommended skills include computer software literacy, coding abilities, use of GIS, GEE, and other mapping software. A willingness to learn about and improve upon existing software skills is required.
Mentoring Philosophy
My primary goal in mentorship is to make academic topics like archaeological science accessible via hands-on activities both in and outside of the classroom. I engage students in real-world research, and I emphasize collaborative projects with students and scientist peers. Creating an interactive environment through teaching and collaborating can help to break down formal barriers in a university setting. Importantly, I strive to give mentees ownership of their work and help them to present their ideas and projects at conferences and through publication when appropriate. My approach also involves sharing my own experiences and providing a safe space for students to develop new skills, and to break down barriers in social and scientific research.Additional Information
Link to Publications
wind tunnel, autonomous experimentation, buildings, turbulence, machine learning
Research Mentor: Dr. Pedro Fernandez-Caban,
Department, College, Affiliation: Civil and Environmental Engineering, FAMU-FSU College of Engineering
Contact Email: plfernandez@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Civil and Environmental Engineering, FAMU-FSU College of Engineering
Contact Email: plfernandez@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: No
Number of Research Assistants: 1
Relevant Majors: Civil Engineering, Mechanical Engineering, Industrial Engineering, Computer Science
Project Location: FAMU-FSU College of Engineering
Research Assistant Transportation Required: FSU Bus (Seminole Express) Remote or In-person: In-person
Approximate Weekly Hours: 10,
Roundtable Times and Zoom Link: Tuesday, September 3
3:30-4:00pm (1st Meeting): https://fsu.zoom.us/j/98348258903
4:00-4:30pm (2nd Meeting): https://fsu.zoom.us/j/99296404437
4:30-5:00pm (3rd Meeting): https://fsu.zoom.us/j/98493123599
Number of Research Assistants: 1
Relevant Majors: Civil Engineering, Mechanical Engineering, Industrial Engineering, Computer Science
Project Location: FAMU-FSU College of Engineering
Research Assistant Transportation Required: FSU Bus (Seminole Express) Remote or In-person: In-person
Approximate Weekly Hours: 10,
Roundtable Times and Zoom Link: Tuesday, September 3
3:30-4:00pm (1st Meeting): https://fsu.zoom.us/j/98348258903
4:00-4:30pm (2nd Meeting): https://fsu.zoom.us/j/99296404437
4:30-5:00pm (3rd Meeting): https://fsu.zoom.us/j/98493123599
Project Description
This project aims to pioneer a self-driven experimental approach to study wind effects on the built environment. The goal is to integrate efficient and robust AI-driven tools into wind tunnel modeling to investigate complex wind flow behavior around buildings and other civil infrastructure (e.g., bridges, towers, etc.).Numerical deep learning algorithms will be leveraged to assist wind tunnel modelers in the decision-making process to autonomously identify critical wind flow conditions that can cause damage to civil structures.
Components of the self-driven approach include air velocity and pressure sensors that collect information (i.e., data) on the flow conditions in the wind tunnel. This information is then processed and interpreted by deep learning models to generate new wind tunnel test configurations (e.g., adjust the position of the sensors, change the wind direction, etc.). Re-configuration of wind tunnel conditions is automated (using actuators) to rapidly investigate different turbulent regions in the wind tunnel.
Research Tasks: The undergraduate student will be tasked with the following responsibilities:
1) Assist in the fabrication and instrumentation (e.g., installation of pressure sensors) of scaled building models
2) Collect wind tunnel velocity and pressure measurements
3) Perform data quality checks of wind tunnel data using basic statistical analysis procedures
Skills that research assistant(s) may need: 1) Knowledge on fundamental statistical analysis approaches and procedures (required)
2) Programming experience in Python or Matlab (recommended)
3) Experience working with Excel or Google Sheets (required)
Mentoring Philosophy
Sharing your own experience - I often share my experience as an undergraduate research assistant and how it motivated me to pursue a career in academia.Additional Information
Link to Publications
https://scholar.google.com/citations?user=nzBOhdoAAAAJ&hl=en
Co-production, PFACs, hospital, performance management
Research Mentor: jc21bg@fsu.edu Jinyoung Cha,
Department, College, Affiliation: Askew School of Public Administration and Policy, Social Sciences and Public Policy
Contact Email: jc21bg@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Department, College, Affiliation: Askew School of Public Administration and Policy, Social Sciences and Public Policy
Contact Email: jc21bg@fsu.edu
Research Assistant Supervisor (if different from mentor):
Research Assistant Supervisor Email:
Faculty Collaborators:
Faculty Collaborators Email:
Looking for Research Assistants: No
Number of Research Assistants: 2
Relevant Majors: Open to all majors, but prefer students from all social science majors, statistics, or public health.
Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 4-7,
Roundtable Times and Zoom Link: Not participating in the Roundtable
Number of Research Assistants: 2
Relevant Majors: Open to all majors, but prefer students from all social science majors, statistics, or public health.
Project Location: On FSU Main Campus
Research Assistant Transportation Required: No, the project is remote Remote or In-person: Fully Remote
Approximate Weekly Hours: 4-7,
Roundtable Times and Zoom Link: Not participating in the Roundtable
Project Description
Co-production has become a critical concept in both public administration and healthcare. In public administration, co-production is seen as an effective strategy to enhance service delivery and address the complex needs of citizens. Similarly, patient-centered care emphasizes the co-production of health services among hospitals, professionals, and patients in the healthcare sector. In this respect, it becomes essential to understand the motivation and outcomes of co-production. Despite the growing body of literature addressing co-production's motivations and anticipated outcomes, it remains underexplored. To fill this gap, this study aims to bridge the gap by offering a comprehensive understanding of the factors associated with co-production initiatives and examining how these factors can enhance organizational performance.In particular, this study focuses on the co-production in the healthcare sector: Patient and Family Advisory Councils (PFACs). PFACs refer to a formal advisory group established within hospitals to include patients, families, and citizens in the decision-making process. It aims to integrate their perspectives into healthcare practices, policies, and quality improvements. PFACs involve various stages of hospital decision-making, including planning, designing, education and training, service delivery, and evaluation and feedback.
In 2008, Massachusetts enacted legislation requiring all acute care and rehabili©tation hospitals to establish a Patient and Family A©dvisory Council (PFAC). This mandate remains unique in the U.S. The legislation stipulates that each hospital must publicly report PFAC activities publicly. Currently, the Besty Lehman Center manages and collects annual reports from all Massachusetts hospitals, making them accessible to the public.
Thus, using these annual reports of Massachusetts hospitals, this study aims to analyze key determinants of PFAC improvement, including financial, human resource, community, or any other institutional settings. In addition, this study will investigate how these factors are associated with PFAC’s outcomes to improve patient care and experience.
Research Tasks: Student research assistants will help with several tasks, including literature review, data collection, and analysis.
1. They will collect, code, and analyze data from the Massachusetts hospital's PFAC report to identify critical determinants of PFACs and their potential outcomes through a quantitative and qualitative approach.
2. If possible, they will read relevant documents and journal articles to analyze how scholarships view the role of PFACs and their outcomes.
3. If time permits, they will help analyze the data collected and interpret its results.
Skills that research assistant(s) may need: 1. Microsoft Office Software (e.g., Word, Excel, Powerpoint)
2. Literature review of academic journals
3. Data coding and analysis (e.g., Excel, Stata, or R)
Mentoring Philosophy
We value collaboration and mutual learning as central principles in our approach to this project. Our focus is on:First, we emphasize a comprehensive grasp of the entire research project, including setting research questions, conducting literature reviews, and performing data analysis. We can learn more about how we could develop and proceed with the overall research process with each other.
Second, we can learn how specific research topics relate to real-life practices and contexts, bridging the gap between theoretical knowledge and practical application. Third, we are committed to fostering an environment where students feel comfortable discussing their barriers and problems during the projects. We will address and overcome these challenges together. Last, we strive to understand how scientific research integrates with our daily lives, making the research process meaningful and fun.