Cupper Scholars

Are you interested in furthering your knowledge of computer science by conducting collaborative research with a faculty member at Allegheny College? If yes, then please consider applying for a fellowship supported by the Cupper Scholars program! Recognizing the noteworthy contributions of the late Dr. Robert D. Cupper, the founder of the Department of Computer Science at Allegheny College and a ground-breaking and innovative teacher and scholar in the field of computer science, this program provides students with mentoring, learning, and research opportunities. To find out more about the Cupper Scholars Program, please talk with the Chair of the Department of Computer Science. To see Professor Cupper teaching in Alden Hall, you can watch several segments in the above video!

Requirements

  • A minimum overall GPA of 3.0

  • A final copy of your resume and a cover letter

  • A declared major or minor in computer science

  • Printed transcripts (a version from WebAdvisor is acceptable)

  • A personal interest statement that explains what type of research you would like to conduct and how it will benefit both the department and the discipline of computer science

Benefits Afforded to a Cupper Scholar

  • Invitation to a scholar-only event during the academic year

  • Mentoring from alumni who support the Cupper Scholars program

  • A stipend of approximately $1200 to support your collaborative research project

  • Research and career advice from mentors during the spring and/or summer academic semesters

Cupper Scholars

Saejin Mahlau-Heinert

Saejin Mahlau-Heinert
2019

Topic: Automated assessment of source code and technical writing
Outcomes: Developed and released a tool that automatically grades source code and writing
Mentor: Gregory Kapfhammer
Carson Quigley

Carson Quigley
2018

Topic: Collecting YouTube data and performing sentiment analysis
Outcomes: A research survey on the BHEFT scheduling algorithm to efficiently perform YouTube data analysis
Mentor: Aravind Mohan
Xingbang Liu

Xingbang Liu
2018

Topic: Intelligent text extraction and summarization for an improved community initiative
Outcomes: Python system for automatically learning and extracting knowledge from MyMeadville interviews
Mentor: Janyl Jumadinova
Colton McCurdy

Colton McCurdy
2017

Topic: Mutation analysis of relational database schemas
Outcomes: Published a journal article and contributed to an open-source mutation testing tool
Mentor: Gregory Kapfhammer
Hanzhong Zheng

Hanzhong Zheng
2016

Topic: Text mining with reinforcement learning software agents using clustering approach
Outcomes: Distributed clustering system implemented in the Java language for extracting knowledge from data
Mentor: Janyl Jumadinova
Cody Kinneer

Cody Kinneer
2015

Topic: Empirically assessing the complexity of search-based test data generation
Outcomes: Open-source tool, freely available data, and two published papers
Mentor: Gregory Kapfhammer
Brandon Ginoza

Brandon Ginoza
2015

Topic: Modelling and predicting the efficiency of mutation testing techniques
Outcomes: R language package for predicting the speed of mutation testing
Mentor: Gregory Kapfhammer