My research interests are optimization, machine learning, and their applications to signal processing.

My Google scholar page can be found here.

Distributed/Large Scale Array Signal Processing

Array Signal Processing is a crucial technique for extracting and interpreting information embedded in radio signals. This field has become increasingly important with the exponential growth of applications such as Integrated Sensing and Communication (ISAC), electromagnetic spectrum monitoring, and defense surveillance. These applications depend heavily on the seamless integration and coordination of numerous sensor elements to effectively manage and derive meaningful insights from vast amounts of spatially dispersed signals.

Specific areas of interest include:

  • Detection/localization/tracking of targets (e.g., UAVs) in urban environments.
  • Energy/computation-efficient signal processing of large scale arrays.

Tools: Optimization, Statistical SP, Matrix Analysis

Resource Allocation/Performance Optimization of Sensor Network

As the deployment of sensor networks expands across fields like environmental monitoring, smart cities, and defense surveillance, the need to optimize resource use and enhance overall performance becomes increasingly paramount. This optimization ensures that networks operate reliably under constraints such as limited energy, bandwidth, and computational power.

Specific areas of interest include:

  • Dynamic resource allocation of radar/ISAC sensor networks.
  • Sensor network performance modeling and optimization.

Tools: Optimization, Deep Learning, Reinforcement Learning

Cognitive Sensing in Adversarial/Dynamic Environment

This research field explores advanced signal processing and adaptive decision-making mechanisms operating under challenging and constantly changing conditions. Particularly relevant in urban spectrum management, military surveillance, and cybersecurity, where environments are not only dynamic but potentially hostile. The goal is to enable sensor networks to autonomously detect, adapt, and respond to threats or changes in the environment effectively.

Specific areas of interest include:

  • Cognitive anti-jamming techniques against adversaries.
  • Context-aware sensing in dynamic environments.

Tools: Optimization, Online Learning, Decision Making