Natural hazards have the potential to cause catastrophic damage and significant
socioeconomic loss. The actual damage and loss observed in the recent decades has …

This work identifies the role of Wireless Sensor Networks (WSN) and Unmanned Aerial
Vehicles (UAV) in the context of natural disaster management. Main applications of systems …

Ensuring the trustworthiness of autonomous systems and artificial intelligence is an
important interdisciplinary endeavour. In this position paper, we argue that this endeavour …

Artificial intelligence for social good (AI4SG) is a research theme that aims to use and
advance artificial intelligence to address societal issues and improve the well-being of the …

The sports domain presents a number of significant computational challenges for artificial
intelligence (AI) and machine learning (ML). In this paper, we explore the techniques that …

Reinforcement learning (RL) is a promising technique for optimizing traffic signal controllers
that dynamically respond to realtime traffic conditions. Recent efforts that applied Multi-Agent …

In this paper, we foreground some of the key research challenges that arise in the design of
trustworthy human-AI partnerships. In particular, we focus on the challenges in designing …

Purpose The global health crisis represents an unprecedented opportunity for the
development of artificial intelligence (AI) solutions. This paper aims to integrate explainable …

Situational awareness by Unmanned Aerial Vehicles (UAVs) is important for many
applications such as surveillance, search and rescue, and disaster response. In those …

Unmanned aerial vehicles (UAVs) are expected to provide a wide range of services,
whereby UAV fleets will be managed by several independent service providers in shared …