CTO and Co-Founder of Innovation Factory, Alaa specialist on both software and hardware development especially acoustic systems as she led many projects when hardware sensors are reqiured. Alaa won international and local competitions in developing acoustic sensors to detect a wide range of sounds such as snore classification algorithms and obstructive sleep apnea. Alaa developed acoustic predictive maintenance for the bearing damage on the train and classifying defects on the railway for HS2.Alaa has a strong background of selecting the best hardware to suite deep learning algorithms based on CPU operations, memory and ensure all cost of Componentes low as possible.Alaa granted a Tier1 Exceptional talent visa on 2016 form home office as IoT experts. Alaa worked on sensors selection and integrations with a hardware system to ensure getting the core parameters for the sound signature at low cost and power. Alaa is talented in hardware engineer and understand the best requirements for sensors and solve critical problems, back in 2017 Alaa carefully selected best microphones array and CPU for the traffic sensor that allowed this project to move forward to deployed with sophisticated AI algorithms that running on the edge (offline).