2022-2024
AI/ML Applications for Enhanced Smart Metering for Residential Electricity Consumption
Residential electricity consumption accounts for 24% of the total electricity demand in India and is the largest connected on the Indian power grid. Smart metering allows utilities to continuously monitor and potentially control this load. In this project, we are working with SustLabs to develop AI/ML-based algorithms for load disaggregation at the smart meter level.
Faculty associated
Dr. Anupama Kowli, Associate Professor, Dept of EE, IIT Bombay
Pattern Recognition-AI and NMR aided HOS analysis for structural similarity of Biological Drugs
Biosimilar refers to the biological drug that is highly similar to the available marketed drug such that there are no clinically meaningful differences in terms of safety, purity, and potency of the product. These drugs can only enter the market after completing the patent duration of the licensed first-generation drugs.
Faculty associated
Prof. Ashutosh Kumar, Professor, Department of Biosciences and Bioengineering, IIT Bombay
Robust domain adaptation strategies for vibration condition monitoring of machines at the edge
In this project, we are investigating compact machine learning algorithms implementable on microcontrollers for diagnosing faults and anomalies in machines based on vibration sensing. The focus is on development of light-weight algorithms that are immune to domain shift and concept drift (i.e. scalable to large number of various types of machines)
Faculty associated
Prof. Siddharth Tallur, Associate Professor, Electrical Engineering, IIT Bombay