Category: Python
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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…
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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.,…
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Benchmarking Machine Learning Methods on Simulated Bioinformatics Data
I worked on this research project while an intern with Dr. Frank Zijun Zhang at Princeton (now at Cedars-Sinai). I used various bioinformatics machine learning models on real and simulated data to determine which could best support non-technical bioinformatics researchers on a variety of criteria included ease of use, time…
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Software for a 1/10th Scale Robotic Vehicle
I worked on this project while an intern in the Collaborative Robotics and Smart Systems Laboratory (CRoSS) at Montclair State University. I helped develop core software for the 1/10th scale autonomous vehicle (pictured above) including obstacle detection and a Proportional Integral Derivative (PID) algorithm that allowed all elements of the…
Victor Robila 