Board area - Sustainable IoT Solutions for Smart Cities (Environment and Sustainability)

• Indigenous field-worthy ahead of “State-of-art” Research Translation creates a possibility for setting up sustainable national infrastructure of Air-pollution Monitoring & Control (AMC) with extremely low cost and ensured capability enhancement subsequently from the IIT Delhi Research.

• AI/ML research translation context aware learning based sustainable smart IoT systems 

• AI/ML Pathbreaking Research outcome of energy sustainability is translated as the Smart-Sustainable-IOT product that reduces the network data transfer footprint by 80%-90% and the energy consumption upto 99%. Smart (sustainable from energy consumption, network connectivity data-rate, cost and compactness, not just network connected) Air-pollution Monitoring devices and Electric Smart meters are truly next generation in capabilities, much ahead of state-of-art.