Smart Infrastructure: Leveraging AI and IoT to Transform Buildings, Warehouses, and Water Systems

Dr. Haitham Mahmoud received his PhD in Electrical Engineering from Birmingham City University in 2022, following his Marie Curie fellowship with the IoT4win project (2018–2021). His research focuses on intelligent networks and applying AI in digital systems, which has led him to coordinate and oversee major projects in B5G/6G radio access networks, resource optimization, cognitive radio, and future open networks. He has secured over £100,000 in project funding as PI and Co-PI from Innovate UK and the British Council, complementing additional support from H2020, UK DSIT, UKRI, NGI, BC, and Egypt’s STDF/NTI. Currently, Dr. Mahmoud is a Technical Delivery Advisor for River Severn Partnership Advanced Wireless Innovation Region (RSPAWIR) funded by Department for Science, Innovation and Technology (DSIT). He is an Editorial Board Member of Discover Networks (Springer Nature), served as a reviewer for British Council and many top-tier journals. He has a track record of chaired sessions, co-organising conferences, and is a leading guest editor for several special issues and sessions.

Mona Farrag is a PhD researcher in Computer Science at Birmingham City University, specialising in Smart Buildings, AI, and energy optimisation. With a distinguished academic background, including an MSc in Artificial Intelligence, Mona brings a multifaceted perspective to the intersection of artificial intelligence and sustainable building technologies. Her research explores how Large Language Models (LLMs) and multimodal AI can revolutionise smart building management and energy efficiency. This work builds on her award-winning research in multimodal multi-agent LLM systems, which earned her the Research Innovation Startup Prize from Santander University at PGXPO 2024. Mona's professional experience spans both academic and industry settings, including roles as an LLM Evaluation Specialist, and as a Data Analyst at KoboToolbox where she honed her analytical skills in real-world applications.