Her research interests include optimization, machine learning, and state estimation in smart grids.
Natarajan’s core scientific research expertise spans theoretical domains of statistical signal processing, stochastic and mathematical modeling, and optimization and networked control theories.
Our core expertise is in statistical signal processing and its application to cyber physical systems, wireless communication systems and data science.
Research Thrusts:
- Smart Grid
- Stochastic hybrid system modeling, estimation and multi-agent networked control in smartgrid
- Compressive sensing-based state estimation in power systems
- Modeling interaction of communication, control and sensing networks in power systems
- Smart Health
- Data imputation in sparsely observable tumor micro-environments
- Surrogate multi-dimensional sensing modalities to quantify hydration levels
- Motion artifact detection and removal in biomedical signals
- Quality of sleep analysis through non-intrusive sensing and data analytics
- Stochastic modeling, estimation and control for ablation treatment planning
- Complex Systems
- Stochastic modeling of complex interdependent systems (water, power, transportation, etc.)
- Multi-dimensional resilience analysis incorporating physical, cyber and social dimensions
- Scalable resilience evaluation with advanced machine-learning based approaches
- Wireless Communications
- Sensor localization and optimal placement
- Heterogenous information fusion
- Collaborative target tracking
- Energy aware management of heterogenous networks
- Energy harvesting in IoT
- Cooperative PHY layer security
- Interference modeling in mm-wave networks
- Non-gaussian interference mitigation techniques.
The CPSWin lab supports a wide range of fundamental as well as applied research in the areas of cyber physical systems and wireless communications. The core expertise of the group lies in statistical signal processing and information science and its application to modeling and analysis of cyber physical systems, wireless communication systems and complex networks.
Key projects in the wireless communication area over the last five years include design of a practical cognitive radio, resource allocation and quality of service assurance in a competitive cognitive radio network, precoding for MIMO and MIMO-OFDM systems, coexistence issues between ultra-wideband and GPS systems, multiuser detection in MC-CDMA systems, and biologically inspired spreading sequence design strategies.
Subject area:
