Machine Learning Research

Keywords:
machine-learning, cloud-computing, lightning, SPDs, induced-voltages

Surge Protection Devices (SPDs) are being extensively used at present to safeguard electronic equipment from lightning generated transient over-voltages. Despite SPDs being employed to protect electronic equipment, every year millions worth damages are being reported. Hence, isolation from the power grid would be considered as the best solution to prevent the infiltration of harmful energy contained in the transient over-voltages. But isolation cannot be performed by humans as they are not sensitive to imminent lightning discharges nor fast enough to respond post lightning events. Thus, there should be an extra-fast mechanism to detect imminent lighting discharge and perform...

iTED Innovation Project

The Team IoT of School of Computing and Engineering at NIBM, has taken the initiative to develop an integrated wearable glass named "iTED Glass", short for Integrated Thermal Emanation Detection Glass to detect people with high body temperatures (above 37.5°C), using a thermal module, while following the WHO recommended safe distance.

Awards:
Seed funding from the National Institute of Business Management (NIBM) and Sri Lanka Inventors Commission (SLIC)

Winners at the HackaDev COVID-19 Innovation Challenge by the United Nations Development Programme (UNDP) [link]

Finalist Team at the NBQSA National Quality Awards 2020 by the British Computer Society (BCS)