Shalabh Gupta

Assistant Professor

Electrical and Computer Engineering

Dr. Gupta’s research is focused on the science of autonomy with emphasis on two key areas: Data Analytics and Networked-Intelligent systems. Application examples include complex human-engineered systems such as a network of unmanned vehicles, medical robotics, distributed sensor networks, power grids, aircraft control systems, hybrid vehicles, etc. Some key research areas include machine perception, information fusion, distributed learning, adaptive decision & control in presence of uncertainties, cooperative tasking and adaptive navigation of unmanned vehicles, intelligent sensor networks for Intelligence, Surveillance & Reconnaissance (ISR) operations, and fault diagnosis & prognosis in networked-control systems. In essence, his research is centered around the essential characteristic of cyber-physical systems that links the domain of underlying system dynamics with the domain of information & control.

Keywords: Cyber-physical Systems, Data Analytics, Information Fusion,Networked Systems, Distributed Intelligent Systems, Diagnostics & Prognostics in Complex Systems, Path Planning, Swarm Robotics, Medical Robotics, Sensor Networks, Unmanned Autonomous Vehicles,Smart Grids, Aerospace Systems, and Manufacturing Systems.

Key Active Research Projects

  • Opt. & Control of Distributed Intelligent Systems:
  • Adaptive Planning and Re-planning of Autonomous Vehicle Networks (UUVs, UAVs) for 3-D Mapping, Complete Coverage, and Resource Allocation Tasks.
  • Distributed Control for Energy-efficient Sensor Networks for Target-tracking, Surveillance, etc.
  • Diagnostics & Prognostics in Complex Systems:
  • PHM for Boeing-787 and MRJ (UTAS)
  • Fault Isolation in Interconnected Systems
  • Model-based BIT Synthesis
  • Supervisory Control of Complex Systems:
  • Fault-tolerant and Energy-efficient Chiller Plants (UTC-IASE)
  • Data Analytics and Fusion:
  • Optimal Sensor Selection in Interconnected Systems (UTAS)
  • Information Fusion for Enhanced Classification
  • Data-driven Anomaly Detection

Future Directions

  • Science of Autonomy with a focus on Data Analytics and Networked-Intelligent Systems
  • Application examples include network of unmanned vehicles, rehabilitation robotics, Distributed sensor Networks, Smart Buildings Smart Grids, Aircraft control systems, hybrid vehicles, etc.

Key Skills/Capabilities

Research Specialties:

  • Systems theory and analysis techniques for various Cyber-physical systems that links the domain of underlying system dynamics with the domain of information & control

Google Scholar Profile

Shalabh Gupta

Contact Information
Phone(860) 486-3494