ECE Research

 

The Department of Electrical and Computer Engineering has undertaken many advanced research projects for a variety of private industry, government, and military interests. The contributions of our researchers in various fields includes:

Advanced Signal and Image Processing

It is one of the core fields of electrical engineering deals with developing algorithmic and mathematical techniques for intelligent processing of signals and images so that more relevant and reliable information can be extracted from them. Several application areas are researched at TSU ECE; Structures’ Health Monitoring and Intelligent Decision Making using Fuzzy Logics, Neural Networks, Generative AI, and Machin Learning (ML).

For more information, please contact Dr. Bodruzzaman and Dr. Zein-Sabatto

Power Systems and Renewable Energy Systems

The renewable energy and power systems research (RESL) focuses on developing state-of-the-art technologies for modern, sustainable, and resilient electric power infrastructure. This research integrates renewable energy systems, microgrids, distributed energy resources (DERs), battery energy storage systems (BESS), and advanced power electronics with intelligent control, communications, and data-driven methods. Current research efforts emphasize smart grids, grid-connected and islanded microgrids, AI and machine-learning-based energy management, reinforcement learning for optimal control, power system cybersecurity, 5G-enabled monitoring and control, electric vehicle integration, and resilient energy solutions for communities. These activities aim to advance clean energy deployment, improve grid reliability, efficiency, resiliency and support workforce development in next-generation power and energy systems.

For more information, please contact Dr. Ghosh

Robotics and Autonomous Systems

The robotics and autonomous systems research include development of intelligent navigation systems for autonomous mobile robots as well as intelligent control systems for industrial robots. Aspects of Human-Machine teaming is also studied and intelligent algorithms for human operator fatigue measurements and load shifting are developed.  The Multi-Attribute Task Battery (MATB) software was farther developed and utilized for advanced operator cognitive load and attributes testing. 

For more information, please contact Dr. Zein-Sabatto and Dr. McCurry

Back to the top

Wireless Communications and Cyber Security

The wireless communication research in TSU focuses on developing the state-of-the-art technologies for secure wireless and mobile communication networks, such as communication and information theory, signal processing, and cyber security in wireless communication. Our recent research projects include communication in the Terahertz band, holographic, and very large aperture multiple-input multiple-output (MIMO), unmanned autonomous vehicle communication, semantic communication, integrated sensing and communications (ISAC), digital twins, AI/machine learning over wireless, as well as physical layer security in wireless networks.

For more information, please contact Dr. Hong

Back to the top

Cyber Security of Cyber Physical Engineering Systems

Cybersecurity research at the Cybersecurity Laboratory (CSL) focuses on developing trustworthy, resilient, and privacy-preserving defense mechanisms for modern cyber and cyber-physical systems. Leveraging CSL’s integrated Cyber-Physical Critical Infrastructure (CPCI) testbed and secure virtualized computing environment, the research addresses security challenges across end systems, networks, software platforms, and IT/OT-converged infrastructures. Core research thrusts include behavior-driven intrusion detection, secure and explainable AI/ML for cyber defense, zero-trust architectures, encrypted and privacy-preserving analytics, and protection against advanced persistent and living-off-the-land attacks. CSL emphasizes rigorous system-level validation, enabling proposed security mechanisms to be evaluated under realistic adversarial conditions using reproducible attack scenarios and measurable performance metrics. By combining theoretical foundations with experimental testbeds and real-world collaboration, CSL advances cybersecurity from reactive detection toward verifiable, enforceable, and automated protection frameworks suitable for safety-critical and large-scale deployments.

For more information, please contact Dr. Hasan

Back to the top

3D Visualization and Human Machine Teaming

The goal of the visualization research thrust is to develop virtual and augmented reality (VAR) technologies to enhance visualization projects in various engineering fields. Research projects focus on VAR technologies which will aid in better diagnostic and prediction analysis on structured health monitoring systems, improve human machine performance, and enhance the ability to analyze and visualization biological network datasets. The facilities consist of Desktop-based VR and AR technologies, including HMDs, cyber-gloves, virtual wall, etc., to facilitate hands-on experimentation and project work related to advanced scientific visualization. Current research areas include visualization of structure health monitoring systems, structure light based augmented reality, and biological network analysis and visualization. These research projects are funded by NSF Targeted Infusion, NSF CI_TEAM and NSF IEECI programs.

For more information, please contact Dr. McCurry

Back to the top





webpage contact:
Electrical and Computer Engineering