a `bit` of me – Rafa Leano

Rafa Leano

(Rafael Leaño)

PhD Candidate
Research Assistant
Kelley Eng. Center 2030
Corvallis, OR, USA

About me

Currently, I am a Computer Science PhD candidate at Oregon State University (OSU) in the School of Electrical Engineering and Computer Science (EECS), where I work as a graduate research assistant under the supervision of Dr. Anita Sarma.

My main focus is on collaborative software development. Particularly, the issues that developers face when working in a distributed development environment; where work is broken into tasks and given to developers and their contributions are committed when finished.

My research uses data mining of software repositories and qualitative data exploration to gather data. Afterwards, clustering, principal component analysis, natural language processing, and machine learning, etc. are used to analyze it. My end goal is to support developers to resolve this issues in a more efficient, better-informed manner.

I obtained my Master of Engineering (Software engineering) from the Universidad de los Andes in Bogota, Colombia; where I worked with Model-Driven Development (MDD), software product lines, and code generation. During my studies I have interned at the INRIA (Lille, France) and IBM (Massachusetts, USA).

Interests

Machine Learning
Supervised Learning, Data Mining, Feature Selection, Dimensionality Reduction, Clustering Analysis, Sigmoid Functions, Deep Learning, Convolution layers, LSTMs,
Natural Language Processing
Word/Vector Representation, Parsing Trees, Concept Identification, Latent Dirichlet Allocation (LDA), Part-of-speech Tagging, Stemming, Stopword Removal
Software Engineering
Conflict resolution, Task assignment, Skill identification, Distributed development, Code repositories, Issue trackers
Software Product Lines
Code generation, Assisted evolution, Model-driven development, Product Configuration, Meta-modeling, Model Transformation