4 papers
Energy-Optimized Scheduling for AIoT Workloads Using TOPSIS
Preethika Pradeep, Eyhab Al-Masri
AIoT workloads demand energy-efficient orchestration across cloud-edge infrastructures, but Kubernetes' default scheduler lacks multi-criteria optimization for heterogeneous enviro…
Democratizing Differential Privacy: A Participatory AI Framework for Public Decision-Making
Wenjun Yang, Eyhab Al-Masri
This paper introduces a conversational interface system that enables participatory design of differentially private AI systems in public sector applications. Addressing the challen…
An Edge-Based Resource Allocation Optimization for the Internet of Medical Things (IoMT)
Eyhab Al-Masri
As the number of Internet of Medical Things (IoMT) increases, the need for performing on-premises tasks within hospitals or medical centers also increases. Many healthcare organiza…
A Self-Adaptive IoT-based Approach for Improving the Decision Making of Active Surgical Robots in Hospitals
Alina Saduova, Eyhab Al-Masri
In recent years, surgical robots have become instrumental tools for assisting surgeons in performing complex surgical procedures in hospitals. Unlike conventional surgical methods,…