Department of Mathematics and Statistics

UNCW-SVSM on Machine Learning

2021 SVSM Experience

  1.  2021 SVSM daily Schedule: Link

2020 SVSM Experience

  1. Gabriel Ackall: Link for PPT.
  2. Mohammed Elmzoudi: Link for PPT 
  3. Camilla Fratta: Link for PPT 
  4. 2020 SVSM daily Schedule: Link

Publication

  1. Gabriel Ackall; Mohammed Elmzoudi; Richard Yuan; Cuixian Chen. An Exploration into the Detection of COVID-19 from Chest X-ray Scans Using the xRGM-NET Convolutional Neural Network. Technologies 2021, Volume 9, Issue 4, 98. HTML Version: [Link].

Successes

2021 Program Summary

  1. Maximilian Wang, Sahil Patel. Machine-Aided Detection of Atrial Fibrillation Through R-R Intervals. The best presentations awards for High-school students category, 2022 VCU RAMS held on April 30, 2022 at the Virginia Commonwealth University, Richmond, VA, USA.
  2. Sahil Patel, Justin Guo, Maximilian Wang. Machine-Aided Detection of Atrial Fibrillation through R-R Intervals. Recipient of the Senior Math/Data Science 2nd Place of the North Carolina Science and Engineering Fair (NCSEF), Raleigh, N.C. – March 29, 2022. [link]
  3. Sahil Patel, Maximilian Wang & Justin Guo.2022 SOUTHEAST REGIONAL SCIENCE & ENGINEERING FAIR. Senior – Math, Statistics, Data Science • First Place. [Link]
  4. Shitij Govil, Aidan Lee & Aiden McQueen. ISEF Regional Award. NASA Earth System Science Award. Winning project, which best demonstrates insights into Earth’s interconnected spheres including different spheres of the Earth system, their interactions and change over time. [link]
  5. Shitij Govil, Aidan Lee & Aiden McQueen.ISEF Regional Award Senior Earth/Environmental Science, second place. [link]
  6. Shitij Govil, Aidan Lee, Aiden MacQueen, Garrison Payne. Recipient of the 2021 UNCW SVSM Catalyst Award.
  7. Noah Civiletti, Samuel Cook, Maria Kinzie, Elaine Liu. Recipient of the 2021 UNCW SVSM Catalyst Award.

2020 Program Summary

  1. Gabriel Ackall was accepted to the Georgia Tech for civil engineering with a full-ride scholarship plus funds for research or study abroad. 
  2. Mohammed Elmzoudi was accepted to the Duke University for Computer Science with a concentration in Machine Learning.
  3. Gabriel Ackall was accepted to 2021 National Science Foundation (NSF) funded REU program in mathematical modeling at the Elon University, for summer 2021.
  4. Mohammed Elmzoudi was accepted to the paid Data Science position for summer 2021 with the Duke Applied Machine Learning group through their Phoenix Project.
  5. Gabriel Ackall, Mohammed Elmzoudi, Richard Yuan. Recipient of the 2020 UNCW SVSM Catalyst Award.

Student Presentations

2021 program

  1. Maximilian Wang, Sahil Patel. Machine-Aided Detection of Atrial Fibrillation Through R-R Intervals. The 2022 VCU RAMS, an online international student conference held on April 30, 2022 at the Virginia Commonwealth University, Richmond, VA, USA. [Link]
  2. Shitij Govil, Aidan Lee, Aiden MacQueen, Garrison Payne. Using DEM Derivatives from Quanergy LiDAR Data to Classify Wetlands through Machine Learning. The Shenandoah Undergraduate Mathematics and Statistics Conference at James Madison University [The SUMS@JMU 2021 conference]. [YouTube link for presentation]. December 4, 2021. 
  3. Sahil Patel, Justin Guo, Maximilian Wang. Machine-Aided Detection of Atrial Fibrillation through R-R Intervals. The Shenandoah Undergraduate Mathematics and Statistics Conference at James Madison University [The SUMS@JMU 2021 conference]. [YouTube link for presentation]. December 4, 2021.  
  4. Shitij Govil, Aidan Lee, Aiden MacQueen, Garrison Payne. Using DEM Derivatives from Quanergy LiDAR Data to Classify Wetlands through Machine Learning. The 17th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, November 20, 2021.
  5. Sahil Patel, Justin Guo, Maximilian Wang. Machine-Aided Detection of Atrial Fibrillation through R-R Intervals. The 17th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, November 20, 2021. 
  6. Shitij Govil, Aidan Lee, Aiden MacQueen, Garrison Payne. Using DEM Derivatives from Quanergy LiDAR Data to Classify Wetlands through Machine Learning. 2021 UNCW VIRTUAL Fall SHOWCASE of Student Research & Creativity. November 17, 2021. [Echo360 link for presentation]
  7. Noah Civiletti, Samuel Cook, Maria Kinzie, Elaine Liu. Using Machine Learning Models to Predict Presence of Hereditary Cataracts and Pathogenicity from α‐Crystallin Mutations. 2021 UNCW VIRTUAL Fall SHOWCASE of Student Research & Creativity. November 17, 2021. [Echo360 link for presentation]
  8. Shitij Govil, Aidan Lee, Aiden MacQueen, Garrison Payne. Using DEM Derivatives from Quanergy LiDAR Data to Classify Wetlands through Machine Learning. Oral Presentation at the State of North Carolina Undergraduate Research & Creativity Symposium [SNCURCS]. November 13, 2021. [YouTube link for presentation]
  9. Noah Civiletti, Samuel Cook, Maria Kinzie, Elaine Liu. Using Machine Learning Models to Predict Presence of Hereditary Cataracts and Pathogenicity from α‐Crystallin Mutations. Oral Presentation at the State of North Carolina Undergraduate Research & Creativity Symposium [SNCURCS].November 13, 2021. [YouTube link for presentation]
  10. Sahil Patel, Justin Guo, Maximilian Wang. Machine-Aided Detection of Atrial Fibrillation through R-R Intervals. November 13, 2021. Oral Presentation at the State of North Carolina Undergraduate Research & Creativity Symposium [SNCURCS]. November 7, 2020. [YouTube link for presentation].
  11. Shitij Govil, Aidan Lee, Aiden MacQueen, Garrison Payne. Using DEM Derivatives from Quanergy LiDAR Data to Classify Wetlands through Machine Learning. 2021 UNCW Summer Venture Student Research Symposium. July 24, 2021.
  12. Noah Civiletti, Samuel Cook, Maria Kinzie, Elaine Liu. Using Machine Learning Models to Predict Presence of Hereditary Cataracts and Pathogenicity from α‐Crystallin Mutations. 2021 UNCW Summer Venture Student Research Symposium. July 24, 2021.
  13. Srinidhi Jayaprakash, Hamza Alkadir, Johan Nino Espino. Detection of Atrial Fibrillation using R-R Intervals and Data Mining Methods. 2021 UNCW Summer Venture Student Research Symposium. July 24, 2021.
  14. Arsh Madhani, Gage Sigmon, Naveen Prabhu. Integration of Regression, Classication, Hierarchical, and Deep Learning Models for Age Estimation and Gender Prediction of FG-NET Facial Images. 2021 UNCW Summer Venture Student Research Symposium. July 24, 2021.
  15. Sahil Patel, Justin Guo, Maximilian Wang. Machine-Aided Detection of Atrial Fibrillation through R-R Intervals. 2021 UNCW Summer Venture Student Research Symposium. July 24, 2021.

2020 program

  1. Gabriel Ackall, Mohammed Elmzoudi, Richard Yuan. An Exploration into the Detection of COVID-19 from Chest X-Ray Scans Using the xRGM-NET Convolutional Neural Network.The 16th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, November 14, 2020.
  2. Gabriel Ackall, Mohammed Elmzoudi, Richard Yuan. An Exploration into the Detection of COVID-19 from Chest X-Ray Scans Using the xRGM-NET Convolutional Neural Network. Oral Presentation at SNCURCS. November 7, 2020. [YouTube link for presentation]
  3. Shrihan Dadi, Aditya Nair, William Zhou. Impact of Dimensionality Reduction for Age Estimation and Gender Classification on the FG-NET Database. Oral Presentation at SNCURCS. November 7, 2020. [YouTube link for presentation]
  4. Camilla Fratta, William Harris, Nihar Thakkar. Visualization and Prediction of Atrial Fibrillation Using Data Mining Techniques. Poster Presentation at SNCURCS. November 7, 2020.
  5. Gabriel Ackall, Mohammed Elmzoudi, Richard Yuan. An Exploration into the Detection of COVID-19 from Chest X-Ray Scans Using the xRGM-NET Convolutional Neural Network. 2020 UNCW Summer Venture Student Research Symposium. August 1, 2020.
  6. Camilla Fratta, William Harris, Nihar Thakkar. Visualization and Prediction of Atrial Fibrillation Using Data Mining Techniques. 2020 UNCW Summer Venture Student Research Symposium. August 1, 2020.
  7. Shrihan Dadi, Aditya Nair, William Zhou. Impact of Dimensionality Reduction for Age Estimation and Gender Classification on the FG-NET Database.2020 UNCW Summer Venture Student Research Symposium. August 1, 2020.
  8. Rebekah Kim, Megan Vahey, and Reagan Razon. Hierarchical Model: An Analysis of Classifiers and Regressors with Facial-Based Age Estimation. 2020 UNCW Summer Venture Student Research Symposium. August 1, 2020.
  9. Carter Lamson, Sarvesh Somasundaram, Vincent Zhou. Deep Learning Applications in Facial Age Estimation. 2020 UNCW Summer Venture Student Research Symposium. August 1, 2020.

Student Research Project Portfolio

2021

  1. Shitij Govil, Aidan Lee, Aiden MacQueen, Garrison Payne.  [Poster]
  2. Noah Civiletti, Samuel Cook, Maria Kinzie, Elaine Liu. [Poster]
  3. Srinidhi Jayaprakash, Hamza Alkadir, Johan Nino Espino. [Poster]
  4. Arsh Madhani, Gage Sigmon, Naveen Prabhu. [Report]
  5. Sahil Patel, Justin Guo, Maximilian Wang. [Poster]
  6. Graduate Mentor: Michael Suggs, Jessica Gray, and Georgia Smith.

2020

  1. Gabriel Ackall, Mohammed Elmzoudi, Richard Yuan. [Poster]
  2. Rebekah Kim, Megan Vahey, and Reagan Razon. [Poster]
  3. Camilla Fratta, William Harris, Nihar Thakkar. [Poster]
  4. Shrihan Dadi, Aditya Nair, William Zhou. [Poster]
  5. Carter Lamson, Sarvesh Somasundaram, Vincent Zhou. [Poster]
  6. Graduate Mentor: Bowen Jones.

Conference Information:

  1. [SNCURCS] State of North Carolina Undergraduate Research & Creativity Symposium: https://sncurcs.org/ [November yearly].
  2. Regeneron International Science & Engineering Fair Awards for NC Students. https://ncsef.org/index.php/ncsef/nc-regional-fairs 
  3. The NC International Science Challenge (NCISC) is a yearly science competition for high school students. The competition requires students to undertake a STEM research project or Maker project, write an abstract explaining their research problem and present their research or project to a panel of scientists and engineers. The NCISC is offered jointly by the North Carolina Science, Mathematics and Technology Education Center (SMT Center) and the Morehead Planetarium and Science Center. https://www.ncsmt.org/competitions/ncisc/
  4. Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC: https://mathstats.uncg.edu/rmsc/ [November Yearly]
  5. MAA South-Easter section: https://maasoutheastern.org/2021-conference/ [March Yearly]
  6. MAA meetings (national): https://www.maa.org/member-communities/students/meetings-and-conferences-for-students [Various location / Various dates]
  7. AMS Sectional Meetings: http://www.ams.org/meetings/sectional/sectional.html [Various location / Various dates]
  8. Richmond Area Mathematical Sciences (RAMS) Conference At VCU: https://math.vcu.edu/rams/student-talks-2021/ [May Yearly]
  9. Joint Mathematics Meetings: https://www.jointmathematicsmeetings.org/meetings/national/jmm2022/2268_intro [January 5-8, 2022, Seattle]
  10. SAMSI Undergraduate Program and Workshops: https://www.samsi.info/programs-and-activities/2019-2020-education-and-outreach-programs-and-workshops/ [Various dates]
  11. New England Statistics Symposium: https://nestat.org/events/symposium/
  12. Women in Statistics and Data Science: https://www.amstat.org/ASA/Meetings/Women-in-Statistics-and-Data-Science.aspx
  13. Symposium on Data Science & Statistics: https://www.amstat.org/ASA/Meetings/Symposium-on-Data-Science-and-Statistics.aspx 

Faculty Mentors

Placeholder ImageCuixian Chen
Professor
chenc@uncw.edu
910-962-3686


Placeholder ImageYishi Wang
Professor
wangy@uncw.edu 
910-962-3292

 


Screen-Shot-2021-04-18-at-9.37.46-AM.pngBailey Elliott
High School Teacher
bailey.hall2@nhcs.net

  

 

Disclaimer

This material is based upon work supported by the UNCW SVSM. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the UNCW.