I have worked on a diverse set of research topics. Please follow the links below for more details
Current Research Projects
Previous Research Projects
Reinforcement Learning Based Decision Making for Smart Power Grid Operations: The objective of the project is to develop Reinforcement Learning algorithms for Building HVAC scheduling that reduce the cost of operations while ensuring safety and comfort constraints are not violated.
Data-driven Spatio-Temporal Modeling of Smart Power Grids: The objective of the project is to develop Spatio-temporal Graph Convolutional Neural Network based models for smart power grids. These models, which capture both spatial and temporal correlations, can enable accurate short term forecasting and missing data imputations.
Accelerating Graph Analytics on Emerging Cloud Architectures with CPU+FPGA Heterogeneous Nodes: The objective of the project is to develop high throughput implementations of Graph Analytics applications targeting cloud architectures with CPU-FPGA datacenter nodes. This project is funded by the U.S. National Science Foundation under award number 1911229.
- Combinatorial Optimization for Smart Power Grids (Thesis Topic). You can find my dissertation here. My defense slides can be found here.
Cyber Physical Security in Smart Grids: The objective of the project is to develop data driven methods to identify that nodes that are critical - in terms of the impact if the node is compromised due to false-data injection attacks. Additionally, the project focused on developing protection schemes for the same.