Luca Capezzuto
I am a Software Engineer at Amazon, where I use Machine
Learning and Multi-Agent Path Planning to help scale transportation
networks in US, Canada, Europe, and India.
Before joining Amazon, I obtained a PhD in Computer Science from the University of Southampton, where I was part of the Centre For Machine Intelligence and the Responsible AI program, with support from EPSRC and AXA Research Fund. Supervised by Sarvapali D. Ramchurn and Danesh Tarapore, I worked on Multi-Agent Routing and Scheduling, Coalition Formation, and Distributed Constraint Optimization, with focus on Large-Scale and Dynamic Multi-Robot Coordination for Real-Time Systems.
Prior to starting my PhD, I obtained a MEng with the highest honors in Computer Science from the University of Naples Federico II, and worked as a Software Engineer at ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development).
Being in favor of Open Peer Review, I offer and invite any form of feedback.
Before joining Amazon, I obtained a PhD in Computer Science from the University of Southampton, where I was part of the Centre For Machine Intelligence and the Responsible AI program, with support from EPSRC and AXA Research Fund. Supervised by Sarvapali D. Ramchurn and Danesh Tarapore, I worked on Multi-Agent Routing and Scheduling, Coalition Formation, and Distributed Constraint Optimization, with focus on Large-Scale and Dynamic Multi-Robot Coordination for Real-Time Systems.
Prior to starting my PhD, I obtained a MEng with the highest honors in Computer Science from the University of Naples Federico II, and worked as a Software Engineer at ENEA (Italian National Agency for New Technologies, Energy and Sustainable Economic Development).
Being in favor of Open Peer Review, I offer and invite any form of feedback.
Publications
2021
-
Capezzuto, L. Large-scale, Dynamic and Distributed Multi-Agent Coordination for
Real-Time Systems. PhD Thesis. School of Electronics
and Computer Science. University of Southampton.
[hyperlinked version][code] -
Capezzuto, L., Tarapore, D. & Ramchurn, S. D. Large-scale, Dynamic and
Distributed Coalition Formation with Spatial and Temporal
Constraints.
EUMAS 2021: Multi-Agent Systems, Revised Selected Papers, pp. 108-125. Springer, Cham.
[arXiv][code][dataset] -
Capezzuto, L., Tarapore, D. & Ramchurn, S. D. Multi-Agent Routing and
Scheduling through Coalition Formation.
OptLearnMAS at AAMAS 2021.
[code][dataset] -
Capezzuto, L., Tarapore, D. & Ramchurn, S. D. Anytime and Efficient
Multi-agent Coordination for Disaster
Response. SN Computer
Science 2.3, pp. 1-15 (2021).
[enhanced publication][code]
2020
-
Capezzuto, L., Tarapore, D., & Ramchurn, S. D. Anytime and Efficient
Coalition Formation with Spatial and Temporal
Constraints.
EUMAS-AT 2020: Multi-Agent Systems and Agreement Technologies, pp.
589-606. Springer, Cham.
[arXiv][code]
2014
- Capezzuto, L., Abbamonte, L., De Vito, S., et al. A Maker Friendly Mobile and Social Sensing Approach to Urban Air Quality Monitoring. IEEE Sensors, 2014.