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Student-Led research
Student-Led research
At our research lab we focus on enabling the students to pursue their own ideas and passions in Computer Science. The expectation is that students take on multi-semester projects and develop their research ideas into software, simulations, experiments, presentations, professional publications, and grant proposals.
cog∙ai student work presented and published in 2025 - anuj khadka, kenisha thapa, diya adhikari, keepa maharjan, prince mensah, krenjila sharma
cog∙ai student work presented and published in 2025 - anuj khadka, kenisha thapa, diya adhikari, keepa maharjan, prince mensah, krenjila sharma
Veksler, V. D., Veksler, B. Z., & Khadka, A. (2025). Plagiarism Detection and Deterrence Using Behavioral Tracking. Journal of Computing Sciences in Colleges, 41(3).
Thapa, K., Adhikari, D., & Veksler, V. D. (2025). Evaluating LMS Usability and Accessibility for Students and Instructors. 41st annual conference of the Consortium for Computing Sciences in Colleges, Eastern Region (CCSC Eastern). Glenside, PA.
Maharjan, K. & Veksler, V. D. (2025). Detecting Plagiarism through Visualization of Coding Activity Logs. 41st annual conference of the Consortium for Computing Sciences in Colleges, Eastern Region (CCSC Eastern). Glenside, PA.
Mensah, P. & Veksler, V. D. (2025). A Comparative Analysis of UINL and HTML/CSS for Web Application. 29th annual conference of the Consortium for Computing Sciences in Colleges, Northeastern Region (CCSCNE). Brockport, NY.
Sharma, K. & Veksler, V. D. (2025). Plagiarism detection in Computer Programming assignments using behavior tracking. 29th annual conference of the Consortium for Computing Sciences in Colleges, Northeastern Region (CCSCNE). Brockport, NY.
Jannice Salazar, khagendra khatri, shadip khadka, giorgi gogitidze, and Nika Gedenidze presented their work at the 2024 consortium for computer sciences
Jannice Salazar, khagendra khatri, shadip khadka, giorgi gogitidze, and Nika Gedenidze presented their work at the 2024 consortium for computer sciences
Gedenidze, N. & Veksler, V. D. (2024). A Layer-Freezing Approach for Reduced Backpropagation Demand. 28th annual conference of the Consortium for Computing Sciences in Colleges, Northeastern Region (CCSCNE). Albany, NY.
Salazar, J. & Veksler, V. D. (2024). Comparing Touch-Based Coding to Traditional Computer Programming Methods. 28th annual conference of the Consortium for Computing Sciences in Colleges, Northeastern Region (CCSCNE). Albany, NY.
Khatri, K., Khadka, S., & Veksler, V. D. (2024). ML for Plagiarism Detection in Coding Assignments. 28th annual conference of the Consortium for Computing Sciences in Colleges, Northeastern Region (CCSCNE). Albany, NY.
Gogitidze, G. & Veksler, V. D. (2024). Using a GPT with Reinforcement Learning for More Personalized or Targeted Text Generation. 28th annual conference of the Consortium for Computing Sciences in Colleges, Northeastern Region (CCSCNE). Albany, NY.
Nika Gedenidze and Rishikesh Yadav presented their work at the International Conference on Brain Informatics
Nika Gedenidze and Rishikesh Yadav presented their work at the International Conference on Brain Informatics
Veksler, V.D., Gedenidze, N., & Yadav, R. (2023). Visual Cortex Doesn't Change, Why should Convolutional Layers? The 16th International Conference on Brain Informatics. Hoboken, NJ, USA.
Nathan Ayele, Nika gedenidze, and rishikesh yadav win best presenTation awards at the caldwell research day 2023
Nathan Ayele, Nika gedenidze, and rishikesh yadav win best presenTation awards at the caldwell research day 2023
Student research on more performant neural networks and on touch-based coding tools win best in-class awards at the Caldwell Research Day.
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