Department of Mathematics and Statistics

Results

2019 Miscellaneous Code For Analysis and Data Management of MIT-BIH Atrial 

Link for Github website, by Georgia Smith

 

2018 Adjusted KLDA Projections with Simulated Datasets

Link for Shiny App website, by Lynn Huang

 

2018 REU participant's Experience 

Rachel Huang [Link]

Jonathan Pedoeem [Link]

 

2017 REU participant's Experience 

Garrett Bingham [Link]

 

Papers

2019

  1. Katherine C. Kempfert, Yishi Wang , Cuixian Chen, and Samuel W.K.Wong. A Comparison Study on Nonlinear Dimension Reduction Methods with Kernel Variations: Visualization, Optimization and Classification. Intelligent Data Analysis - An International Journal. It is accepted in June 2019. This paper will appear in Volume 24(2) of the IDA journal, spring 2020. [pdf]

2018 

  1. Werther, C., Ferguson, M., Park, K., Kling, T., Chen, C., & Wang, Y. (2018, December). Gender Effect on Face Recognition for a Large Longitudinal Database. In 2018 IEEE International Workshop on Information Forensics and Security (WIFS) (pp. 1-7). IEEE. [accepted], [pdf].
  2. Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation, has been accepted in the 5th National Symposium for NSF REU Research in Data Science, Systems, and Security. [accepted], [pdf]
  3. YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers, has been accepted in the 5th National Symposium for NSF REU Research in Data Science, Systems, and Security. [accepted], [pdf]
  4. Preliminary Studies on a Large Face Database, has been accepted in the 5th National Symposium for NSF REU Research in Data Science, Systems, and Security. [accepted], [pdf]

2017

  1. MORPH-II: FEATURE VECTOR DOCUMENTATION (non-refereed). [pdf]
  2. IMAGE PRE-PROCESSING USING OPENCV LIBRARY ON MORPH-II FACE DATABASE (non-refereed). [pdf]
  3. PRELIMINARY STUDIES ON A LARGE FACE DATABASE MORPH-II (non-refereed). [pdf]
  4. MORPH-II: INCONSISTENCIES AND CLEANING WHITEPAPER (non-refereed). [pdf]
  5. MORPH-II: A PROPOSED SUBSETTING SCHEME WHITEPAPER (non-refereed). [pdf]

Successes

2021 Summary

  1. Hui Sui was accepted to the Data Science graduate program in Data Science at the University of Pennsylvania, March 2021.
  2. Georgia Smith was accepted to the PhD program in UC Denver's Biostatistics Program, with full funding, February 2021.

2020 Summary

  1. Katherine Kempfert was awarded the NSF graduate research fellowship (GRFP), March 2020.
  2. Troy Kling was accepted to the Ph.D. program in Mathematics at the UC Santa Barbara, March 2020.
  3. Christian Austin was accepted to the Graduate program of Mathematics at the University of Florida, April 2020.
  4. Jericho Lawson was accepted to the PhD program in Applied Statistics at the UC Riverside, April 2020.
  5. Sue Eledkawi was accepted to the Data Science graduate program at UNCW. June 2020.

 2019 program

  1. Jericho Lawson won the Best Undergraduate Oral Presentation Award. The 15th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 2, 2019. [Link]

2018 program

  1. Cyera Taylor was accepted to the PhD program in Economics of the University of Maryland, Baltimore County, June 2019.
  2. Lynn Huang was accepted to the PhD program of the University of Iowa, March 2019.
  3. Jonathan Pedoeem was accepted to a summer internship in Facebook New York on a team in FAIR (Facebook ai research). May 2019.
  4. Cyera Taylor was accepted to the American Economic Association Summer Program at the Michigan State University for Summer 2019. 
  5. Jackson Maris was accepted to a summer internship in the Stratus Solutions in Maryland as a Data Science Intern. May 2019.
  6. Philip Smith won the “Making a Difference in NC” award at the 2019 Spring UNCW Spring Showcase of Student Research and Creativity. He will receive a small monetary award and are asked to attend the Graduate Education Day event in Raleigh, NC on Wed., May 15. In Raleigh he will have the chance to briefly share his research with state legislators, learn more about the issues in NC, enjoy a complimentary lunch with other award recipients from across the state, and interact with community partners. 
  7. Philip Smith was accepted to the UNCW Master of Computer Science program. November 20, 2018.
  8. Philip Smith won the UNCW CSURF Undergraduate Travel Award of $1,000. November 14, 2018. 
  9. Lynn Huang won the Best Poster Award. The 14th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3, 2018. 
  10. Rachel Huang was accepted to a summer internship with AT&T as a software developer in Seattle. November 2018.

2017 program

  1. Jonathan Fabish was supported by a NSF funded program in which he will be a graduate assistant to a group of NC A&T math students traveling to Nanjing, China to study computational data science, June 1-July 14, 2019. 
  2. Katherine Kempfert was funded as an ISTI Fellowship to participate in the Information Science Technology Institute 2019 Parallel Computing Summer Research Internship at the Los Alamos National Laboratory. 
  3. Katherine Kempfert was accepted to the PhD program of the UC Berkeley, March 2019.
  4. Garrett Bingham was accepted to the PhD program of UT Austin, March 2019.
  5. Jonathan Fabish was accepted to the PhD in Statistics program of the NCSU, February 2019.
  6. Troy Kling was was accepted to the PhD program.
  7. Kevin Park was accepted to work as the Senior Statistician for the Eli Lilly Company in Indianapolis. April 2018.
  8. Rachel Towner was accepted into the Oregon's EcoInformatics Summer Institute. March 2018.
  9. Katherine Kempfert was funded as an ISTI Fellowship to participate in the Information Science Technology Institute 2018 Parallel Computing Summer Research Internship at the Los Alamos National Laboratory. February 2018.
  10. Benjamin Yip was accepted to the NSCU Master of Science in Analytics (MSA) degree program. January 2018.
  11. Jonathan Fabish was accepted to the NCAT's NSF funded graduate traineeship program. The program will provide him $34,000 plus tuition and fees to complete a master degree in applied mathematics. [Details]. November 2017. 
  12. Kevin Park was accepted to the graduate school to pursue his master degree in Biostatistics at Rollins School of Public Health at Emory University. 

    [Details]
  13. Katherine Kempfert won the Best Undergraduate Oral Presentation Awards. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017.
  14. Morgan Ferguson won the Best Undergraduate Oral Presentation Awards. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017.  Media report. [link]
  15. Jonathan Fabish won the Best Poster Award. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017. 
  16. Garrett Bingham was accepted to the summer internship at Reservoir Labs. [Details]. December 2017.
  17. Morgan Ferguson was accepted to the Technology Advisory Intern at EY (Ernst & Young) in Charlotte. [Details]. October 2017.
  18. Garrett Bingham was accepted to the Aquincum Institute of Technology (AIT) Budapest Study Abroad Program for computer science and software engineering majors. August 2017.

  19. Morgan Ferguson continued to work as an Elon College Fellow which is a scholarship program for undergraduate research that she entered going into her freshman year. More information about the program can be found at this website: http://www.ey.com/us/en/careers/students/your-role-here#fragment-1-na.
  20. UNCW College of Art and Science Newsletter. [Details]. Fall 2017.

Student Research Project Portfolio

2019

  1. Final oral presentation. July 24, 2019. [video link]
  2. Christian Austin: [Poster]. 
  3. Suhaela Eledkawi: [Poster].
  4. Lloyd Goldstein: [Poster].
  5. Drew Johnston: [Poster].
  6. Jericho Lawson: [Poster].
  7. Roshni Patnayakuni: [Poster].
  8. Georgia Smith: [Poster].
  9. Hui Sui: [Poster].

2018

  1. Final oral presentation. July 24, 2018. [video link]
  2. Lynn Huang: [Poster]. 
  3. Rachel Huang: [Poster]. 
  4. Jackson Maris: [Poster]. 
  5. Jonathan Pedoeem: [Poster]. 
  6. Jaime Seith: [Poster]. 
  7. Philip Smith: [Poster]. 
  8. Cyera Taylor: [Poster]. 
  9. Ryan Wood: [Poster]. 

2017 

  1. Garret Bingham: [Poster]. 
  2. Jonathan Fabish: [Poster]. 
  3. Morgan Ferguson: [Poster]. 
  4. Kathrine Kempfert: [Poster]. 
  5. Catherine Nansalo: [Poster]. 
  6. Kevin Park: [Poster]. 
  7. Rachel Towner: [Poster]. 
  8. Benjamin Yip: [Poster]. 

Student Presentations

2019 program

  1. Jericho Lawson. Real-Time Classification of Atrial Fibrillation Using RR Intervals and Transition States. 2021 NISS Graduate Student Research Conference in mid-June, which is a two-day virtual conference: https://www.niss.org/events/niss-graduate-student-research-conference
  2. Georgia Smith was selected by the Undergraduate Research Council (URC) to participate in the COPLAC (Council of Public Liberal Arts Colleges) Southeast Undergraduate Research, Scholarship, and Creative Activity Conference (URSCA), which was held on April 10, 2021. 
  3. Roshni Patnayakuni. Latent Profile Analysis of Phthalate and Paraben Exposure in Pregnant Women. 2020 Women in Statistics and Data Science Virtual Conference, September 30 – October 2, 2020.
  4. Jericho Lawson. Real-Time Classification of Atrial Fibrillation Using RR Intervals and Transition States. 2020 Joint Statistics Meetings (JSM). Philadelphia, Pennsylvania. August 1 - August 6, 2020.
  5. Jericho Lawson. Real-Time Classification of Atrial Fibrillation Using RR Intervals and Transition States. 2020 SUnMaRC conference in Fort Collins. April, 2020. [Cancelled due to 2020 Pandemic] 
  6. Hui Sui. K-Means Clustering for Longitudinal Chemical Mixtures Analysis in LIFECODES Dataset. Richmond Area Mathematical Sciences (RAMS) Conference At VCU. March 28, 2020. [Cancelled due to 2020 Pandemic] 
  7. Suhaela Eledkawi. Feature Fusion and Canonical Correlation Analysis for the Joint Estimation of Age, Gender, and Race. 2020 Annual Meeting of the Southeastern Section of the MAA, High Point University. March 12-14, 2020. [In-person conference cancellation due to 2020 Pandemic]
  8. Christian Austin. Using Statistical Models and Machine Learning Algorithms to Detect Atrial Fibrillation. The 15th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 2, 2019.
  9. Lloyd Goldstein, Analysis of chemical exposure data in the LIFECODES data set using latent transition analysis. The 15th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 2, 2019.
  10. Drew Johnston, Detecting atrial fibrillation with R-R intervals. The 15th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 2, 2019.
  11. Jericho Lawson, Real-time classification of atrial fibrillation using RR intervals and transition states. The 15th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 2, 2019.
  12. Christian Austin. Using Statistical Models and Machine Learning Algorithms to Detect Atrial Fibrillation. 2019 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2019.
  13. Suhaela Eledkawi. Feature Fusion and Canonical Correlation Analysis for the Joint Estimation of Age, Gender, and Race. 2019 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2019.
  14. Lloyd Goldstein. Analysis of Chemical Exposure Data Using Latent Transition Analysis. 2019 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2019.
  15. Drew Johnston. Atrial Fibrillation Detection Using RR Intervals. 2019 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2019.
  16. Jericho Lawson. Real-Time Classification of Atrial Fibrillation using RR Intervals and Transition States. 2019 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2019.
  17. Roshni Patnayakuni. Latent Profile Analysis of Phthalate and Paraben Exposure in Pregnant Women. 2019 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2019.
  18. Georgia Smith. Atrial Fibrillation Detection Using RR-Intervals For Application in Photoplethysmographs. 2019 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2019.
  19. Hui Sui. K-Means Clustering for Longitudinal Chemical Mixtures Analysis in LIFECODES Dataset. 2019 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2019. 
  20. Jericho Lawson and Christian Austin. Heart-to-Heart: Binary Classifiers for Detecting Atrial Fibrillation. 2019 MATH REU Conference, School of Mathematical and Statistical Sciences, Clemson University. July 8, 2019.
  21. Lloyd Goldstein, Roshni Patnayakuni and Hui Sui. Unsupervised Clustering Methods for Grouping Pregnant Women Based on Phthalate and Paraben Exposure Data. 2019 MATH REU Conference, School of Mathematical and Statistical Sciences, Clemson University. July 8, 2019.
  22. Georgia Smith and Drew Johnston. Listen to Your Heart: Atrial Fibrillation Dances to the Beat of Its Own Drum. 2019 MATH REU Conference, School of Mathematical and Statistical Sciences, Clemson University. July 8, 2019.
  23. Suhaela Eledkawi. Canonical Correlation Analysis for Joint Estimation of Age, Gender and Race on Morph-II Database. 2019 MATH REU Conference, School of Mathematical and Statistical Sciences, Clemson University. July 8, 2019.

2018 program

  1. Lynn Huang. An Algorithm for Adjusted Kernel Linear Discriminant Analysis. 2020 Joint Statistics Meetings (JSM). Philadelphia, Pennsylvania. August 1 - August 6, 2020.
  2. Lynn Huang. An Algorithm for Adjusted Kernel Linear Discriminant Analysis. The 16th annual Midwest Undergraduate Mathematics Symposium (MUMS). Simpson college, Indianola, Iowa. April 13, 2019.
  3. Philip Smith. Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation. UNC Wilmington Spring 2019 CSURF Research Showcase, Wilmington, NC. April 1, 2019. 
  4. Cyera Taylor was accepted to present at Wake Forest University at the Integrating Research in Science on Saturday, March 30, 2019.
  5. Lynn Huang. An Algorithm for Adjusted Kernel Linear Discriminant Analysis. The 2019 Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS 2019), March 28 March 29, 2019. University of Michigan, Ann Arbor, Michigan. She received complete funding from the University of Michiganto attend the MSSISS 2019. [Travel was cancelled due to unforseen circumstances.]
  6. Philip Smith. Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation. Port City Analytics Q1-2019 Meetup, Wilmington, NC. March 19, 2019. 
  7. Philip Smith. Transfer Learning with Deep CNNs for Gender Recognition and Age Estimation. The 5th National Symposium for NSF REU Research in Data Science, Systems, and Security. A Symposium at 2018 IEEE International Conference on Big Data (IEEE Big Data 2018). December 10-13, 2018, Seattle, WA, USA.
  8. Jonathan Pedoeem. YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers. The 5th National Symposium for NSF REU Research in Data Science, Systems, and Security. A Symposium at 2018 IEEE International Conference on Big Data (IEEE Big Data 2018). December 10-13, 2018, Seattle, WA, USA.
  9. Philip Smith. Demo and facilitate group discussion for What’s Brewing in Science: Facial Recognition Software. Organized by Cape Fear Museum, Wilmington, NC. October 24, 2018.
  10. Lynn Huang. An Algorithm for Adjusted Kernel Linear Discriminant Analysis. The 14th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3, 2018.
  11. Jaime Seith. Tuning Parameter Selection in KLDA. The 14th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3, 2018.
  12. Philip Smith. Transfere Learning with Deep Convoluational Neural Networks for Gender Recognition and Age Estimation. The 14th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3, 2018.
  13. Cyera Taylor. Joint Estimation of Age, Gender, and Race using different Feature Extraction Methods on Morph-II. The 14th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3, 2018.
  14. Lynn Huang. An Algorithm for Adjusted Kernel Linear Discriminant Analysis. 2018 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2018.
  15. Rachel Huang. YOLO-LITE:  A Real-Time Object Detection Web Implementation. 2018 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2018.
  16. Jackson Maris. Mathematical Derivation and Multiple-Class Implementation of Kernel Linear Discriminant Analysis. 2018 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2018.
  17. Jonathan Pedoeem. YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers. 2018 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2018.
  18. Jaime Seith. Tuning Parameter Selection in KLDA. 2018 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2018.
  19. Philip Smith. Transfere Learning with Deep Convoluational Neural Networks for Gender Recognition and Age Estimation. 2018 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2018.
  20. Cyera Taylor. Joint Estimation of Age, Gender, and Race using different Feature Extraction Methods on Morph-II. 2018 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2018.
  21. Ryan Wood. Kernel LDA: Proof of Performance. 2018 UNCW NSF-REU and Summer Research Showcase, UNCW. July 25, 2018.

2017 program

  1. Troy Kling. Preliminary Studies on a Large Face Database. The 5th National Symposium for NSF REU Research in Data Science, Systems, and Security. A Symposium at 2018 IEEE International Conference on Big Data (IEEE Big Data 2018). December 10-13, 2018, Seattle, WA, USA.
  2. Katherine Kempfert. Kernel-Based Nonlinear Dimension Reduction for Face Analysis. 2018 HiPerGator Symposium. UF Informatics Institute. University of Florida. October 16, 2018. [details]
  3. Katherine Kempfert. Kernel-Based Nonlinear Dimension Reduction for Face Analysis. 2018 Joint Statistics Meetings (JSM). Vancouver, Canada. July 28 - August 2, 2018.
  4. Rachel Towner. Complete 2DPCA Paired with Feature Extraction for Gender Classification. 2018 MAA Southeastern Section Meeting. Clemson. South Carolina. March 23-24, 2018. 
  5. Katherine Kempfert. Kernel-Based Nonlinear Dimension Reduction for Face Analysis. 2018 Joint Mathematics Meetings (JMM). San Diego, CA. January 10-13, 2018. 
  6. Garrett Bingham. Random Subspace Two-dimensional LDA for Face Recognition. 2017 Northeastern Section of the Mathematical Association of America (NES/MAA). Fairfield, Connecticut. November 17–18, 2017. 
  7. Morgan Ferguson, Face recognition on the MORPH-II database. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017.
  8. Jonathan Fabish. Kernel-based dimensionality reduction methods on simulated datasets. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017.
  9. Catherine Nansalo. Feature extraction and dimension reduction methods for race classification using Morph II. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017.
  10. Katherine Kempfert, Nonlinear dimension reduction with kernel functions for computer vision tasks. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017.
  11. Kevin Park. Do I know you? Optimizing the face recognition system. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017.
  12. Rachel Towner, Image preprocessing and complete 2DPCA with feature extraction for gender recognition. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017.
  13. Benjamin Yip. Utilizing posterior probability for race-composite age estimation. The 13th Annual UNCG Regional Mathematics and Statistics Conference (RMSC). Greensboro, NC. November 3-4, 2017.
  14. Garrett Bingham. Random Subspace Two-dimensional LDA for Face Recognition. 2017 Research Experiences for Undergraduates Symposium (REUS). Alexandria, VA. October 22–23, 2017. 
  15. Kevin Park. Do I Know You? Optimizing the Facial Recognition System. The Georgia Statistics Day 2017. Atlanta, Georgia. October 9, 2017.
  16. Morgan Ferguson. Subset Size and Gender Analysis on Face Recognition. The 2017 MAA NC State Dinner. Winston-Salem, NC. September 28, 2017.
  17. Garrett Bingham. Random Subspace Two-dimensional LDA for Face Recognition. 2017 UNCW NSF-REU and Summer Research Showcase, UNCW. July 24, 2017.
  18. Jonathan Fabish. Kernel-Based Dimensionality Reduction Methods on Simulated Datasets2017 UNCW NSF-REU and Summer Research Showcase, UNCW. July 24, 2017.
  19. Morgan Ferguson. Subset Size and Gender Analysis on Face Recognition. 2017 UNCW NSF-REU and Summer Research Showcase, UNCW. July 24, 2017.
  20. Katherine Kempfert. Nonlinear Dimension Reduction Using Kernel Representations. 2017 UNCW NSF-REU and Summer Research Showcase, UNCW. July 24, 2017.
  21. Catherine Nansalo. Selecting Feature Extraction and Dimension Reduction Methods for Race Classification using Morph II. 2017 UNCW NSF-REU and Summer Research Showcase, UNCW. July 24, 2017.
  22. Kevin Park. Do I Know You? Optimizing the Facial Recognition System. 2017 UNCW NSF-REU and Summer Research Showcase, UNCW. July 24, 2017.
  23. Rachel Towner. Image Preprocessing and Complete 2DPCA on Feature Extraction. 2017 UNCW NSF-REU and Summer Research Showcase, UNCW. July 24, 2017.
  24. Benjamin Yip. Utilizing Posterior Probability in Age Estimation: Accounting for Mixed Race. 2017 UNCW NSF-REU and Summer Research Showcase, UNCW. July 24, 2017.

Data Management Plan

For our publications, programming codes for simulation studies and primary data analytics will be available upon request for research or instructional use. Please contact Dr. Tracy Chen chenc@uncw.edu for more details.

Disclaimer

This material is based upon work supported by the National Science Foundation under Grant Number (NSF DMS-1659288). 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 National Science Foundation.