Victor Robila

Research

In progress work

I am currently involved in research focusing on bioinformatics and EV research publication tracking. I also have one paper in review on a project focused on identifying census use in university extension reports. Its citations are below: Alaeddini, A., Lane, J., Pallotta, N., Ren, X., Robila, V., Expanding the corpus: Finding how data are used Read more

October 19, 2023
Fostering Computer Science Education through Expert Interviews

I wanted to get a better understanding of the common themes behind my interviewees’ words on my Computer Science Chats platform. Therefore, in an independent project, I did a content analysis identifying common trends and suggestions between my interviewees. I disseminated this work in a presentation and paper in IEEE ISEC and a presentation at Read more

October 19, 2023
Classical Music Analysis using AATMoF: An Automatic Algorithmic Transformed Motif Finder

In a project with Dr. Bogdan Nita at Montclair State University I worked on connecting my passions of mathematics, music, and computer science. I developed a novel algorithm for motif extraction that found mathematically transformed motifs in inputted pieces. This work was part of a larger project identifying these motifs in Bach’s compositions. I published Read more

October 19, 2023
Habitable Environments of Early Earth: Assessing the Effects of Rotation Rate and Land Area/Distribution

As part of the American Museum of Natural History’s Science Research Mentoring Program, I completed a project analyzing exoplanet habitability by developing maps of results from early-earth climate model. Pictured above is me and a teammate presenting our work to AMNH President Dr. Sean Decatur at the culminating SRMP symposium. See a pdf of the Read more

October 19, 2023
Development of a Neural Network-Based Mathematical Operation Protocol for Embedded Hexadecimal Digits Using Neural Architecture Search (NAS)

At Columbia, with Drs. Junfeng Yang and Kexin Pei (now at UChicago), I evaluated machine learning models for mathematical operations. I specifically had a focus on developing a robust comparison of human developed and automatically sourced networks for this issue. A paper outlining my work can be found on ArXiv at (https://arxiv.org/pdf/2211.15416.pdf) or below. Robila, Read more

October 19, 2023
A Subspace-Classification Approach for Simulated Tuple Class Assignment

I examined subspace classification with Dr. Robert Haralick at the CUNY Graduate School. After developing a custom subspace classifier in C for measurement classification I wrote and published a paper in the IEEE LISAT Conference. See the citation, paper, and a picture from my presentation below Robila, V., Haralick R., Subspace-Classification Approach for Simulated Tuple Read more

October 19, 2023