Mo Elsayed

Adjunct Professor

McMaster University

Canada

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About

Mo Elsayed is an Adjunct Professor at McMaster University, Canada. His research primarily focuses on the integration of artificial intelligence in building energy modeling, as well as the optimization and regulation of autonomous unmanned aerial vehicles (UAVs). Recent publications include topics on AI-driven automation, airspace policies, and sustainable drone operations through solar energy harnessing.

Articles (7)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2022

Year:

2022

Year:

2020

Collaborators (1)

Moataz Mohamed

Associate Professor

McMaster University

CANADA

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Mo Elsayed

Research Interests

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Articles (7)

User-friendly AI-driven automation for rapid building energy model generation

User-friendly AI-driven automation for rapid building energy model generation

The impact of civil airspace policies on the viability of adopting autonomous unmanned aerial vehicles in last-mile applications

Robust digital-twin airspace discretization and trajectory optimization for autonomous unmanned aerial vehicles

Autonomous drone charging station planning through solar energy harnessing for zero-emission operations

The Impact of Airspace Discretization on the Energy Consumption of Autonomous Unmanned Aerial Vehicles (Drones)

The impact of airspace regulations on unmanned aerial vehicles in last-mile operation

Collaborators (1)

Moataz Mohamed

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