Luca de Alfaro
Computer Science and Engineering
Ph.D. Stanford University, 1998
Reputation systems, game theory, formal methods and verification, machine learning, reinforcement learning.
Currently, I am working on applications of reinforcement learning to network protocols, on fairness in machine learning, on the psychology underlying crowdsourcing, and on cloud implementations of Wikipedia reputation systems.
Here are a few projects that have openings for students at the undergraduate level.
The project seeks to analyze ML algorithms and datasets with respect to the equity of the classification or output they give. This can be used both to study the fairness of ML algorithms, and to find classes of input for which the performance of the ML algorithms is weak.
We are developing the theory with graduate students and collaborators. We are seeking one undergraduate student with experience in data visualization, web-site building and cloud serving, and cloud (Google cloud preferred).
The project consists in developing a reputation system for Wikipedia users and content (see publications on Wikipedia reputation and trust). At the moment, we are developing the basic infrastructure and algorithms. We will soon have openints for students with experience in Python, algorithms, and cloud computing.