Motivation

Poaching has increased in the last decade, particularly with elephants and rhinoceroses. Current levels of poaching of elephants and rhinoceroses will lead to their extinction in the next 10 years.

AirShepherd

One of our collaborators for this project is a non-governmental organization (NGO) called AirShepherd. AirShepherd flies UAVs in Africa equipped with a thermal infrared camera to identify and intercept poachers before they can harm wildlife.

Machine Learning Research

We are using machine learning techniques for predictive analytics, to predict poacher activity before they strike, or to track wildlife movement. To that end, we are working with neural networks (CNN) and other techniques. We continue to be interested in recruiting students to join us in this project.

Publications

2016

Thanh H. Nguyen, Arunesh Sinha, Shahrzad Gholami, Andrew Plumptre, Lucas Joppa, Milind Tambe, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba, Rob Critchlow, Colin Beale. CAPTURE: A New Predictive Anti-Poaching Tool for Wildlife Protection. In 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016.

2016

Fei Fang, Thanh H. Nguyen, Rob Pickles, Wai Y. Lam, Gopalasamy R. Clements, Bo An, Milind Tame. Deploying PAWS to Combat Poaching: Game-theoretic Patrolling in Areas with Complex Terrain. In Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), January 2016.

2015

Fei Fang, Thanh H. Nguyen, Benjamin Ford, Nicole Sintov, Milind Tambe. Introduction to Green Security Games (extended abstract). In Workshop on Cognitive Knowledge Acquisition and Applications held at International Joint Conferences on Artificial Intelligence (IJCAI), July 2015.