IIITH’s Smart Fix for Hyderabad’s Water Woes

IIITH along with treating water for reuse and collecting rainwater, made use of various smart solutions – in-house sensors and the creation of a digital twin, among others to preserve water and responsibly use it. According to researchers, one of the foremost things needed to address water woes is to understand the water consumption to plug leakages and also remove illegal connections. They also measure water quantity and quality using sensors. Wherever possible, the institute uses water treated through sewage treatment plants (STP) or collecting using rainwater harvesting so that the groundwater and even water supplied by the HMWSSB remains untouched or at least minimised. They have signed an MoU to run a trial to see if the IIITH model can be implemented in a nearby colony. Smart City Living Lab, IIITH is also in talks with other municipalities to help them address water woes.

Innovative ML model -switching approach for real-time traffic monitoring on smartphones

Four CSE second-year students of IIITH’s demonstrated a dynamic ML model switching approach on smartphones for real-time traffic monitoring. students have come up with a dynamic machine learning (ML) model-switching technique on smartphones, enabling real-time traffic monitoring that adapts to changing conditions depending on the traffic flow. The team comprising undergraduate second-year CSE students – Kriti Gupta, Ananya Halgatti, Priyanshi Gupta, and Larissa Lavanya – under PhD student Akhila Matathammal’s mentorship and guidance of Prof. Vaidyanathan, who is part of software Architecture 4 Sustainability group at Software Engineering Research Centre, worked on a dynamic model switching approach titled EdgeML Balancer, for object detection on edge devices such as smartphones.