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Liam Paull

Appointment

Canada CIFAR AI Chair

Pan-Canadian AI Strategy

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Université de Montréal

Google Scholar

About

Liam Paull is a Canada CIFAR AI Chair at Mila and an assistant professor at the Department of Computer Science and Operations Research (DIRO) at the Université de Montréal.

Paull’s research focuses on autonomous driving, resource constrained inference and planning, cooperative localization, probabilistic path planning, coverage path planning, multi-robot systems, marine robotics, and simultaneous localization and mapping.

Awards

  • Best Paper Award, IEEE Robotics and Automation Letters, 2020

Relevant Publications

  • Paull, L., Tani, J., Ahn, H., Alonso-Mora, J., Carlone, L., Cap, M., … & Censi, A. (2017). Duckietown: an open, inexpensive and flexible platform for autonomy education and research. In 2017 IEEE International Conference on Robotics and Automation (ICRA) (pp. 1497-1504). IEEE.

  • Paull, L., Saeedi, S., Seto, M., & Li, H. (2014). AUV navigation and localization: A review. IEEE Journal of oceanic engineering, 39(1), 131-149.

  • Paull, L., Saeedi, S., Seto, M., & Li, H. (2013). Sensor-driven online coverage planning for autonomous underwater vehicles. IEEE/ASME Transactions on Mechatronics, 18(6), 1827-1838.

  • Paull, L., Li, H., & Chang, L. (2010). A novel domestic electric water heater model for a multi-objective demand side management program. Electric Power Systems Research, 80(12), 1446-1451.

  • Sepulveda, A., Paull, L., Morsi, W. G., Li, H., Diduch, C. P., & Chang, L. (2010). A novel demand side management program using water heaters and particle swarm optimization. In 2010 IEEE Electrical Power & Energy Conference (pp. 1-5). IEEE.

Institution

Mila

Université de Montréal

Department

Computer Science and Operations Research (DIRO)

Education

  • PhD (Electrical and Computer Engineering), University of New Brunswick

Country

Canada

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