Research

Our lab’s research focuses on societal problems concerning cyber-physical systems, such as intelligent transportation, robotics, microgrid, and emerging communication technologies. This page provides a summary of current projects, past projects, open source tools, packages, and datasets.

Current Projects

SpatioTemporal Time Series Dynamics using Machine Learning Developing novel machine learning models to analyze spatiotemporal time series data and explore the hidden dynamics

We focus on analysis of spatiotemporal timeseries in transportation and electric grid uncovering hidden dynamics of the underlying process, detection of unique behavior of systems from timeseries data, anomaly detection, and predictive modeling using statistical machine learning. The project aims to enhance the efficiency, reliability, and safety of critical infrastructures through advanced data analytics and machine learning techniques.

current machine-learning timeseries dynamical-systems data-analysis

Past Projects

Strym A python package for real-time CAN data logging, analysis and visualization to work with USB-CAN Interface.

Strym is a python package that provides APIs to interface with COMMA.AI panda for logging CAN data, analysis and visualization in real-time from supported modern vehicles such Toyota RAV4 and Honda Pilot.

software python open-source data-analysis