"Connectivity-Influence Weighting" presented at IEEE CCNC 2026
Our structural bias for graph-based multi-agent reinforcement learning appeared at the 23rd IEEE Consumer Communications & Networking Conference.
Our structural bias for graph-based multi-agent reinforcement learning appeared at the 23rd IEEE Consumer Communications & Networking Conference.
Aerial shepherding of ground-vehicle swarms, presented at the 21st International Conference on Distributed Computing in Smart Systems and the Internet of Things.
Began doctoral research on reinforcement learning for collaborative heterogeneous swarms in partially known environments.
Presented “AI for Good: Collaborative Heterogeneous Swarms in Partially Known Settings” at the AI Diversity and Inclusion for Africa (AIDIA) seminar.
Spoke at the Diversity and Inclusion in AI Forum, and served as an auditorium monitor for the conference.