The current version of EvoGrader is developed by Ganesa Thandavam Ponnuraj
Ganesa Thandavam Ponnuraj is a Masters student in the Department of Computer Science at the Stony Brook University. He works with Prof. Yejin Choi for his Master's Thesis. His research interests lie in the intersection of algorithms, Natural Language processing and Machine Learning. In particular he is interested in Semantic parsing and Language understanding.
Ganesa Thandavam contributed to the version 2.0 of the EvoGrader. He re-designed the architecture and added support for machine learning model trained using 10000 human-annotated responses (v1.0 model was trained only using 2000 human-annotated student responses). He also added support for bubble-chart visualization (concept co-occurrence visualization). He also took care of refactoring the code and also eased the pain in deployment of the tool, thereby saving many man-hours. In addition he also made the UI more user-friendly and took care of enriching the experience for the EvoGrader users.
Previous version of EvoGrader was developed by Kayhan Moharreri
Kayhan Moharreri is a PhD student in the department of Computer Science and Engineering at The Ohio State University. He joined the PhD program in 2011, and his research has involved applications of data mining, information extraction, and knowledge management. Since then he has been working on related research projects such as knowledge discovery from IT operational data, collaborative problem solving in Resolution Service Networks, and the Evograder.
Kayhan contributed to the architecture design, development and testing of EvoGrader version 1.0. He was heavily involved in front-end and back-end development, testing, and virtual hosting services. Along his research, Kayhan has experienced teaching various programming and database courses and he has always been interested in emerging technologies for the social good.