Submission navigation links for UROP Project Proposal Portal ‹ Previous submission Next submission › Submission information Submission Number: 1299 Submission ID: 21091 Submission UUID: 745b457d-9fa3-4e83-b304-122a2608750a Submission URI: /urop-research-mentor-project-submission-portal Submission Update: /urop-research-mentor-project-submission-portal?token=o9GF5G-acvC19i7mBwg_WmPLWjtDM_KLZApbVJJnAUc Created: Wed, 08/20/2025 - 09:50 AM Completed: Wed, 08/20/2025 - 10:30 AM Changed: Mon, 08/25/2025 - 11:30 AM Remote IP address: 144.174.214.39 Submitted by: Anonymous Language: English Is draft: No Webform: UROP Project Proposal Portal Submitted to: UROP Research Mentor Project Submission Portal * The submission deadline is EXTENDED to Friday, August 22, 2025 UROP Research Project Submission Form Information Thank you for your interest in submitting a UROP research project. To help guide your UROP project submission, you can view UROP projects from previous years here (you do not submit projects at the link below; you have to use the form below this year). Please refer to the UROP Research Mentor FAQs if you have any questions. 2022-2025 UROP Projects: https://cre.fsu.edu/urop-projects 2021-2022 UROP Projects:https://docs.google.com/spreadsheets/d/1xXghCi683JcbssfYl6UPtxf9mAwDqdtlWk7kmu2B81M/edit?usp=sharing 2020-2021 UROP Projects: https://drive.google.com/file/d/1xjcxB3H-Ejmr8HsJp7C5brtQSgMOkUsV/view?usp=sharing 2019-2020 UROP Projects: https://docs.google.com/spreadsheets/d/1fniI_IZjWFi63pnlAYJfE5wdtimxgK28Y5wbzPUWnwA/edit?usp=sharing 2018-2019 UROP Projects: https://docs.google.com/spreadsheets/d/1YsImQOQZr6qotqSiPa4QtHv4UdwqB6pgYOPf2EO44dg/edit?usp=sharing Below you will enter information about your research project. Please note: - UROP is a program for 1st- and 2nd- year and transfer students at FSU. - Students accepted via a competitive admissions process into UROP will have access to the database of UROP projects at the start of the fall semester in late August/early September. - Students interested in working on your project will contact you in the early Fall semester. You may select the students with whom you would like to work. You do NOT have to select a UROP student if you do not find a suitable candidate, so there is no risk to upload a project to the UROP database. - Students have until October 7th to secure a UROP research position. Once you select the UROP student, you have to sign the student's contract form (deadline October 7th). Students will work with you in Fall and subsequent Spring to meet one of the UROP requirements (assistantship). Students typically work between 5 to 10 hours per week on their assistantship, so please keep this in mind while submitting your project. - If you are an FSU faculty/grad student/postdoc/campus partner participating as a UROP mentor, you are eligible to apply for the UROP Materials Grant. Community research mentors are not eligible at this time to receive the UROP Materials Grant. Material grant applications will be accepted in late fall and funds disbursed during the spring semester. -You must complete an evaluation survey in order to help us grade (S/U) the student for Fall and Spring UROP colloquium classes. -Graduate students may serve as the sole PI on a project and do not need to have their research listed under a faculty member's project. -You may submit multiple projects. Please do not submit multiple versions of the same project. If you have any questions, please contact CRE Senior Associate Director, Alicia Batailles, at alicia.batailles@fsu.edu or 850-645-0987. UROP Research Mentor Info Sessions Recording of UROP Research Mentor Hybrid Info Session If you are interested in requesting a presentation about UROP with potential research mentors you can use this link to request a presentation: https://fsu.qualtrics.com/jfe/form/SV_cTOz2mk839ZmxY9 Research Mentor Information Primary Research Mentor Name Research Mentor Preferred Pronouns When potential research assistants are reaching out via email, what is your preferred honorific? Examples: Dr., Prof., Mx., Mr., Ms., etc. Please leave blank if you do not have a preferred honorific. Contact Email (FSU Email if affiliated) Position Title Please note: All graduate students must have the approval of their Faculty Advisor to be a UROP research mentor and must include their Faculty Advisor's name and email below. These options will appear if "Graduate Student" is selected. - Select -FacultyPost DocGraduate StudentFSU Staff/Campus PartnerCommunity/Industry Research Mentor Faculty Advisor Name Graduate students submitting a UROP Project Proposal are required to enter their Faculty Advisor's name. The Faculty Advisor will be emailed about the submission. Faculty Advisor's FSU Email Graduate students submitting a UROP Project Proposal are required to enter their Faculty Advisor's email. The Faculty Advisor will be emailed about the submission. FSU College (if applicable) - Select -Applied StudiesArts and SciencesBusinessCommunication and InformationCriminology and Criminal JusticeDedman College of HospitalityEducation, Health, and Human SciencesFAMU-FSU College of EngineeringFine ArtsJim Moran College of EntrepreneurshipLawMedicineMotion Picture ArtsMusicNursingSocial Sciences and Public PolicySocial WorkUndergraduate StudiesN/A FSU Department or Non-FSU Organization Affiliation Headshot (optional) Tuy.jpg3.86 MB Remove Please provide a photo of yourself or something representing your research (optional) Upload requirementsOne file only.256 MB limit. Additional Research Mentor(s) Research Assistant Supervisor (if different from above) Research Assistant Supervisor Preferred Pronouns Research Assistant Supervisor Preferred Honorific? Examples: Dr., Prof., Mx., Mr., Ms., etc. Contact Email (FSU Email if affiliated) Name of Other Faculty/Collaborator(s) (if applicable) Other Faculty/Collaborator(s) Preferred Pronouns Other Faculty/Collaborator(s) Preferred Honorific? Examples: Dr., Prof., Mx., Mr., Ms., etc. Contact Email (FSU Email if affiliated) Overall Project Details Title of the Project Project Keywords Are you currently looking for research assistants? When submitting your project, please select "Yes." When you have signed contracts with close to the number of research assistants required for your project, you can change your selection to "Maybe one more." Once you are no longer looking for research assistants selecting "No" will hide your project from potential research assistants searching the database. - Select -YesMaybe one moreNo Number of Research Assistants Needed Faculty/Postdoc: Max - 6, Graduate student: Max- 2, Community Partners: to be discussed with CRE staff Relevant Research Assistant Major(s) If there is no preference for certain majors, please put "Open to all majors." Open to all majors. Project Location: On FSU Main Campus Off of FSU Main Campus (please provide address) Enter other… If the project location is off campus, does the research assistant(s) need to provide their own transportation? Yes No, the project is remote No, there is a public transportation option (please list below) Enter other… Please select the choice that most accurately describes your expectations for the research assistant(s): In-person Partially Remote Fully Remote Approximately how many hours a week would the research assistant(s) need to work? Please keep in mind that the recommended number of hours for UROP is 5-10 hours a week. The final number of hours will be agreed upon during the contract signing. Roughly what time frame do you expect research assistant(s) to work? During business hours Outside of business hours Flexible schedule (Combination of business and outside of business. TBD between student and research mentor.) Overall Research Project Description Cardiovascular diseases continue to be a leading cause of morbidity and mortality worldwide, underscoring the critical importance of accurate and timely diagnosis in healthcare. Among the diagnostic modalities, the electrocardiogram (ECG) signal is a fundamental tool for monitoring cardiac activity. Its intricate waveform provides valuable insights into the heart's electrical activity, aiding clinicians in identifying abnormalities and making informed decisions about patient care. The advent of machine learning (ML) has revolutionized medical diagnostics, offering the potential to enhance the accuracy and efficiency of ECG signal classification. ML models, when trained on vast datasets, can discern subtle patterns and anomalies in ECG signals that may elude conventional diagnostic methods. This transformative capability has paved the way for more precise and timely cardiac diagnoses, contributing to improved patient outcomes. However, the utilization of ML models in healthcare raises concerns about data privacy and security. To address these challenges, federated learning (FL) emerges as a promising paradigm. FL enables the training of ML models across decentralized devices without sharing sensitive data centrally. In the context of ECG signal classification, the integration of FL not only safeguards patient privacy but also facilitates collaborative model training across diverse healthcare institutions This research investigates the synergy between AI and cybersecurity to revolutionize ECG signal classification. By harnessing the power of ML models and the privacy-preserving capabilities of FL, we aim to significantly improve the accuracy and security of cardiac diagnoses. This project seeks to address the following research questions: (1) Can we develop innovative ML models, particularly convolutional neural networks (CNN), to enhance the accuracy and efficiency of ECG signal classification? (2) How can we effectively integrate an FL system to address privacy concerns, ensuring decentralized model training and safeguarding sensitive patient data? (3) What insights can we glean from the nuances of accuracy variations between local and server-side implementations, providing valuable guidance for the deployment of FL-enhanced models in real-world healthcare settings? (4) How does our proposed method compare to existing approaches in terms of classification performance? Research Tasks Examples of tasks: literature review, data collection, data analysis, conducting interviews, etc. We propose the following solutions to address the research questions. - Data Collection and Preprocessing The PTB diagnostic ECG database comprises 14,552 binary-classified ECG signal samples from Physionet's PTB diagnostic database. Recorded at 125Hz, each sample represents the heart's electrical activity. Preprocessing ensures uniformity, involving handling missing values, normalizing amplitudes, and aligning signals. The dataset is split for training and testing, with measures like data augmentation and addressing class imbalances implemented. - ECG Classification with Stacked CNN Architecture The increased depth enables the stacked CNN to excel in learning intricate temporal patterns, automatically extracting nuanced representations from raw data. This depth is crucial for discerning diverse cardiac conditions, whereas shallower architectures of normal CNNs may struggle to capture complex variations. The mathematical formulation of a stacked CNN's forward pass, involving layer-wise computations, further enhances its capacity to model intricate temporal dependencies, contributing to superior ECG classification performance. - Communication and Iterative Processes: To extend our model to a FL system, we consider a scenario where multiple clients collaborate without sharing raw ECG data. Each client has its dataset and trains the model locally. In the proposed iterative process, the global model parameters are communicated to all participating nodes, initiating local training and subsequent model aggregation. Convergence will be monitored throughout the process by assessing changes in the loss function and performance metrics. - Preliminary results: Our initial efforts in the domains of biomedical and biometric image security, AI for smart healthcare systems, cybersecurity, and security in IoT communications are integral to the successful realization of this project. More information about our research can be found at https://www.iiilab.org/publications. Skills that research assistant(s) may need: Please specify "required" or "recommended." Hands-on experience with at least one programming language such as Python, Julia, or C/C++ is required. Knowledge of machine learning, federated learning, and ECG signal classification is a strong plus. Mentoring Philosophy Please include your mentoring philosophy. We hope this helps expedite the matching process. Your mentoring philosophy is a statement that explains and justifies the way you approach personal and professional relationships with mentees as you guide their increasing development. Common Themes of Mentoring Philosophies Identifying mentees’ goals * Evaluating mentees’ understanding *Evaluating mentees’ talents and building on them * Developing a relationship founded on mutual respect * Giving mentees’ ownership of their work and promoting accountability * Sharing your own experience * Creating an interactive environment for learning * Identifying what motivates each mentee * Balancing belief with action and experience * Creating a safe environment in which mentees feel that is acceptable to fail and learn from their mistakes * Encouraging growth through challenges * Promoting learning through inquiry Mentoring Philosophy Resources University of Colorado Boulder: Developing a Mentoring Philosophy Oregon Health and Science University: Creating a Mentoring Philosophy Harvard University: Developing your Mentoring Philosophy Workshop Indiana University-Purdue University Indianapolis: Developing a Mentoring Philosophy Worksheet My mentoring philosophy centers on empowering mentees through a combination of shared experience and a supportive, secure environment. I believe in being open about my own successes and, more importantly, my failures, to normalize the learning process and build a foundation of trust. By creating a space where mentees feel comfortable taking risks and making mistakes, I encourage them to step out of their comfort zones without fear of judgment. This safety net is crucial for genuine learning and personal growth. Instead of providing all the answers, I challenge my mentees to tackle complex problems, guiding them to find their own solutions. I see these challenges not as hurdles but as opportunities for them to develop resilience, critical thinking skills, and a deeper understanding of their field. Ultimately, my goal is to equip mentees with the confidence and skills to navigate their careers independently. This approach fosters a partnership built on mutual respect and a shared commitment to continuous improvement. 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): PI Tuy Nguyen is an expert in the area of design, implementation, optimization, and applications of artificial intelligence and cybersecurity in both software and hardware. PI Nguyen has contributed significantly to academia, publishing 22 journal articles, 32 conference papers, and securing two patents. Additionally, his commitment to nurturing future talent is evident in his mentorship, which has resulted in 25 collaborative research papers and one patent with students, particularly one journal paper and three conference papers with undergraduate research teams. PI Nguyen is currently mentoring three Ph.D. students in his research team. Are you interested in participating in the UROP Research Mentor Roundtable? The UROP Research Mentor Roundtable will take place virtually, on Tuesday, September 2 through Friday, September 5, between 12 and 8 pm each day. This is an opportunity to speak with students directly about your UROP project. If you choose to participate, we will reach out closer to the start of the fall semester so you can schedule your Zoom sessions and add them to your project information. If you change your mind about participating, you can access your project submission and edit your response. If you select "No", "Not participating in the Roundtable" will be displayed on your project profile. Yes No Roundtable times and Zoom links? Please add the day(s) and time(s) and zoom link(s) for your roundtable meeting(s) between the times of 12 and 8 PM on a day(s) between Tuesday Sept. 3 through Friday, Sept. 6. We recommend scheduling between one and three 30-minute zoom meetings during the timeframe of the UROP Research Mentor Roundtable. Ideally, we envision your zoom meetings starting at the top of the hour (0:00) or half hour (0:30). The goal of the Roundtable is for students to explore and learn about different research projects. This is not an interview opportunity. All students are expected to attend at least one zoom session and review five different projects as part of the UROP Research Mentor Roundtable assignment. Students should not start reaching out until after the UROP Research Mentor Roundtable on September 8 at 8 pm. You can review more detailed information here. Roundtable Information Please add the day(s) and time(s) and zoom link(s) for your roundtable meeting(s) between the times of 12 and 8 PM on a day(s) between Tuesday Sept. 2 through Friday, Sept. 5. We recommend scheduling between one and three 30-minute zoom meetings during the timeframe of the UROP Research Mentor Roundtable. Ideally, we envision your zoom meetings starting at the top of the hour (0:00) or half hour (0:30). The goal of the Roundtable is for students to explore and learn about different research projects. This is not an interview opportunity. All students are expected to attend at least two synchronous zoom sessions and review five different projects as part of the UROP Research Mentor Roundtable assignment. Students should not start reaching out until the Monday after the UROP Research Mentor Roundtable concludes on Monday, September 8 at 9 am. Click on the gold button at the right to add additional Zoom Roundtable times or the garnet button to remove Zoom Roundtable times. You can review more detailed information here. Roundtable Info × Information message No items entered. Please add items below. Add Add more items more items UROP Program Elements Mentor Handbook, FAQs, and Communication By checking this box I confirm that I have read and understood the UROP Research UROP Research Mentor Handbook as well as the UROP Research Mentor Frequently Asked Questions. The UROP Project I am proposing will be available for both the fall and spring semesters (Oct 7 is the deadline to secure a position and submit the UROP Assistantship compact). Per the Handbook, I plan to meet with the research assistant(s) at least every other week and will create a communication plan with the research assistant(s). UROP Performance Evaluation By checking this box I understand that it is mandatory for me to complete a performance evaluation in the Fall and Spring in order for the CRE to assign the research assistant(s) a grade for the colloquium class. If necessary, the evaluation will be used to help develop an improvement plan for the research assistant(s). Materials Grant By checking this box I understand that I can apply for the UROP Materials Grant once I accept the UROP research assistant(s), sign the contract form, and submit the fall evaluation (late November/early December; deadline TBD) for all of my UROP research assistants. Materials grant applications will be due in the early spring semester and funds disbursed by mid-spring semester. I understand that community research mentors are not eligible to receive the Materials Grant at this time. UROP Poster Presentation By checking this box I understand that it is mandatory that my UROP research assistant(s) present their work at the FSU Undergraduate Research Symposium in the spring (early April). A member of my research team will assist my UROP research assistant(s) with the creation of a poster presentation, and I will review and approve the poster presentation for the FSU Undergraduate Research Symposium. An pdf of the poster and abstract of the project will be shared online via the Symposium program. Faculty Advisor Confirmation By checking this box I am confirming that my Faculty Advisor is aware that I have submitted a UROP Project Proposal and is supportive of me serving as a UROP Research Mentor. Are you interested in attending in a UROP Research Mentor Workshop Series? We have developed a virtual UROP Research Mentor workshop for graduate students! The workshop will cover salient practices that help develop strong and supportive mentoring relationships. Workshops are limited to 30 participants. The virtual summer workshop series will take place twice this summer, from June 9-11 and from July 7-9. Register to participate in the workshop series June Registration: https://fsu.qualtrics.com/jfe/form/SV_eyZhAVUVzFj27S6 July Registration: https://fsu.qualtrics.com/jfe/form/SV_238I0RBOqJtlZLo If you are not available for these scheduled workshop series, please sign up to learn about future offerings here: https://fsu.qualtrics.com/jfe/form/SV_4MUxhWmNHXwKb2K. Thanks! Yes No Submitting your UROP Project Proposal: When you click the submit button below, you and the research assistant supervisor (if applicable) will receive an email with a link to edit your project proposal. Please do not submit multiple versions of the same project. If you submit more than one project proposal, you will get an individual link for each project. This email may end up in your spam folder, so please keep an eye out for the submission confirmation email. Thank you again for supporting undergraduate research! Note on saving drafts: If you choose to save a draft, you will need to use the same computer to be able to open and edit a draft. However, you can submit your project proposal and continue editting it using the link that is sent after submission. CAPTCHA This question is for testing whether or not you are a human visitor and to prevent automated spam submissions. Save
