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.
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.
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.
Student research on more performant neural networks and on touch-based coding tools win best in-class awards at the Caldwell Research Day.
Congratulations to our very own Nathan, Jannice, Rishikesh, and Vidur on being selected for the DoE STEM Advance Summer Research Grant positions!