Spring 2019

  • Ahsan Khoja – 3D-Quantify: A workflow for generating Volume of an object using 2D images and Structure from Motion [Paper][Poster]
  • Ali Shahram Musavi – A Self-service System Using RFID [Paper][Poster]
  • Daiki Akiyoshi – Evaluating machine learning algorithms for stock market prediction [Paper][Poster]
  • Daniel Stoffregen – Keypoint Extraction and Analysis: Comparing Common Approaches to Image Merging [Paper][Poster]
  • Ethan Rountree – ColorSynth: An Audiovisual Tool for Understanding Harmonic Ratios [Paper][Poster]
  • Giorgi Kharshiladze – Using Heart Rate and Body Movement Data to Determine the Optimal Wake-up Time [Paper][Poster]
  • Herschel Darko – Combining heuristics with neural networks [Paper][Poster]
  • Justin Kerobo – Open-Source 3D Audio Sequencer for Sound and Musical Recognition in MaxMSP using HOA Library and Jitter [Paper][Poster]
  • Karan Shrestha – Lip Reading using Neural Network and Deep learning [Paper][Poster]
  • Priscilla Coronado – Testing the Efficiency of the Elo ranking algorithm and Reddits Hot Rank algorithm [Paper][Poster]
  • Sara Salloum – An Artistic Data Visualization of Pollution at Earlham College [Paper][Poster]
  • Shana Weissman – Database Indexing: Time Series Simulation Comparing R-tree and Inverted Index [Paper][Poster]
  • Vuong Khuat – Music Recommendation Using Collaborative Filtering [Paper][Poster]
  • Yuki Adams – Using Gesture Recognition to Navigate Google Chrome [Paper][Poster]

Fall 2018

  • Benjamin Folk-Sullivan – Feasibility Study of the Usage of Blockchain Technology in Online Privacy Protection [Paper][Poster]
  • Chau Pham – Gerrymandering and Graph Partitioning: Approaches to Population Division Models [Paper][Poster]
  • Eli Ramthun – Evolutionary Development of an AI Agent for Games Featuring Procedurally Generated Content [Paper][Poster]
  • Flannery Currin – Modeling How Screen Readers Parse Data Visualizations [Paper][Poster]
  • Maniz Shrestha – Detecting Fake News with Sentiment Analysis and Network Metadata [Paper][Poster]
  • Mihn Vu – Political News Bias Detection using Machine Learning [Paper][Poster]
  • Rei Rembeci – Detecting Textual Analogies Using Semi-Supervised Learning [Paper][Poster]

Fall 2016

  • Ashutosh Rai – Robyn: A Natural Language Interface to Database System for Medicine [Paper][Poster]
  • Ben Liebersohn – Twitter Map Reduce Methods and Results [Paper][Poster]
  • Bret Marshall – A Non-invasive Appliance and Application for Remote Washing Machine Monitoring [Paper][Poster]
  • Craig Earley – Measuring User Preferences for Web Presentations Using Open-Source Tools and a Holistic Approach [Paper][Poster]
  • Daniel Wilson – Optimizing Number of Keyframes to Improve Compression of MPEG-4 Files [Paper][Poster]
  • Deeksha Srinath – Cross-Platform Social Media Data Modeling [Paper][Poster]
  • Edward Ly – Open-Source Gesture Recognition for Virtual Orchestra Conducting Using the Kinect [Paper][Poster]
  • Jonathan Hicks – Emotion Detection Using OpenCV for Automatic Facial Recognition [Paper][Poster]
  • Samual Kahsay – Automating the Organizing Process for PDF Files [Paper][Poster]
  • SawYan Naung – EARL: Earlham Augmented ReaLity Campus Tour Application [Paper][Poster]
  • Tuguldur Baigalmaa – Compressing Deep Neural Networks [Paper][Poster]

These are papers/projects that were done in the past, before our move to portfolios and WordPress.


  • Sadie Coughlin-Prego – Data Sculpture [An Alternative Medium of Communication] – Paper PDF, Poster PDF
  • George Crowson – A Flexible Social Network Visualization – Paper PDF
  • Wilson Lin – Classification of Stars and Galaxies Using A Support Vector Machine Approach – Paper PDF
  • Kristin Muterspaw – “SketchIt! Or Some Other Clever Name” A Google Glass Application for Classical Studies – Paper PDF
  • Bryce Rainey – A Low-Cost Device for Flood Disaster Preparation Using an Arduino Board – Paper PDF


  • Leif DeJong – Access by Anyone from Anywhere on Anything – Paper PDF


  • Dylan Leeman – Topic Modeling with Latent Dirichlet Allocation – Paper PDF