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Above and Beyond

  • Arianna Mendez with Yi Lu, 2024: “Comparative Analysis of the Effects of Mountaintop Removal Mining on Air and Water Quality In West Virginia.” DSSI
  • Clifford Wijaya with Steve Kass, 2024: “The Arithmetic Derivative.” DSSI
  • Dhruv Erry with Alex Rudniy: “Fine-tuning a Large Language Model.” DSSI
  • Deven Mistry with Alex Rudniy: “Email Spam Detection Using Large Language Models.” DSSI
  • Max Juliano with Alex Rudniy: “Surveying LLMs’ usage in Search Engines.” DSSI
  • Angelae Wunderle with Sarah Abramowitz, 2024: “Mathematical Movements: Bringing Dance into the Classroom.” Honors Thesis
  • Muhammad Mir with Yi Lu and Jennifer Olmstead, 2024: “Modeling Water Optimization in Jordanian Agricultural Economy.” Honors Thesis
  • Muhammad Mir with Steve Kass, 2023: “The Mathematics of Color.” DSSI
  • Shibo Sun with Steve Kass, 2023: “The 100-Locker Problem.” DSSI
  • Henry Arthur with Alexander Rudniy, 2023: “Topological Data Analysis.” DSSI
  • Joey Holzman with Alexander Rudniy, 2023: “Detecting Child Sexual Abuse in Tweets with Machine Learning and Natural Language Processing.” DSSI
  • Mwelu Nzusyo with Alexander Rudniy, 2023: “Machine Learning for the Fashion Industry.” DSSI
  • Richmond Kosasih with Alexander Rudniy, 2023: “An AI-Powered Text-to-Speech App.” DSSI
  • Weihang Huang with Alexander Rudniy, 2023: “An AI-Powered Transcribe App.” DSSI
  • Gabriel Dutra with Steve Kass, 2023: “Forecasting Financial Time Series: An Empirical Analysis of LSTM Model Performance Across Minute, Hourly, and Daily Time Frames.” Honors Thesis
  • Jamie Connors with Sarah Abramowitz and Jon Kettenring, 2022: “P Values: Controversies in Science Journals and Education.”
  • Alex Goebel with Yi Lu, 2022: “Data Analysis in Fencing.”
  • Breezy Van Patten with Seth Harris, 2022: “Knot theory: an exploration of invariants, visual representations, and quantum money.”
  • Eliza Delgado with Alex Rudniy, 2022: “Reuse-Based Development Approach to E-commerce Software.” DSSI.
  • Daniel Kellaway with Seth Harris, 2020: “Divisibility, Discrete Logarithms, and Cyclotomic Polynomials.” DSSI.
  • Lloyd Goldstein, 2020: “What Makes a Good Quarterback? Analysis of Longitudinal NFL Data Using Latent Variable Clustering Methods.” Honors Thesis.
  • Michael Clancy, 2018: “A Mathematical Development of Quantum Mechanics.” Honors Thesis.
  • Mohammed Hassan and Emily Hill, 2018: “Toward Automatic Summarization of Arbitrary Java Statements for Novice Programmers.” — IEEE International Conference on Software Maintenance and Evolution, New Ideas and Emerging Results (NIER) Track. — Paper presented by Mohammed Hassan in Madrid, Spain.
  • Jen Benedict, 2018:  “Automatic Munsell Color Detection in Mobile Applications.” Honor’s Thesis.
  • Jeff Moorhead with Seth Harris, 2017: “On the Constructibility of Numbers.” Published in the Drew Review.
  • Ida Behreini, 2017: CRA-W Distributed Research Experiences for Undergraduates at Texas A&M University.
  • Emily Evans, 2016: CRA-W Distributed Research Experiences for Undergraduates at Pennsylvania State University.
  • Wyatt Olney, Emily Hill, Chris Thurber, Bezalem Lemma, 2016: “Part of Speech Tagging Java Method Names.” — IEEE International Conference on Software Maintenance and Evolution, Early Research Achievements (ERA) Track — Paper presented by Wyatt Olney in Raleigh, NC.
  • Wyatt Olney, 2016: “Automatic Summarization of Source Code for Novice Programmers.” Honors thesis.
  • Anastasia Kolovani, 2015: “Increasing Student Interest in Computer Science.” Poster presented at the Grace Hopper Conference, Houston, TX.
  • Adam Fanslau, 2015: “Knowd: A Tool for Organizing and Recommending Online Learning Resources.” Honors thesis.
  • Daniel Gaston, 2015: U.S. Department of State scholarship.
  • Timothy Andres, 2014: “Linking the Past with Technology: Web Based Multimedia Annotation and Linking in the DM Project.” Honors thesis.
  • Greg Hunt, 2013: “CUR: An Interpretable Alternative to Principal Components Analysis.” Honors thesis.
  • Greg Hunt, 2012: Goldwater Scholarship.