Long’s main research area is Artificial Intelligence. He is interested in building complex learning systems where humans and agents have to either: collaborate to deal with complex real-world problems; or to strategically act against each other. Given this, he mainly focusses on the following topics: online learning/decision making (bandit theory), game theory, incentive engineering, and multi-agent systems.
Achievements and awards
Long has received a number of prestigious awards, including: CPHC/BCS Distinguished Dissertation Award Honourable Mention (2012/13); EurAI Artificial Intelligence Dissertation Award Honourable Mention (2012/13); AAAI 2012 Outstanding Paper Award Honourable Mention; and ECAI 2012 Best Student Paper Award runner up. Long has also been elected as a board member of the IFAAMAS Directory Board (2018-2024), the main international governing body of the International Federation for Autonomous Agents and Multiagent Systems. In addition, he was invited to present an Early Career Spotlight Talk at IJCAI 2019.