My Research & Experience

Here, I apply cutting-edge techniques in machine learning and cybersecurity to solve real-world problems. My work spans from building resilient critical infrastructure to developing novel algorithms for anomaly detection in complex networks.

As a computer scientist, my research focuses on developing efficient distributed machine learning models for network anomaly detection. I apply advanced techniques to identify and classify anomalous behaviors in computer networks and cyber‑physical systems, enhancing the security and resilience of critical infrastructures.

Key areas of my research include:

  • Distributed Machine Learning
  • Network Anomaly Detection
  • Federated Learning
  • Graph Neural Networks
  • Blockchain for Cybersecurity
  • High‑Performance Computing (HPC)
  • IoT Security
  • Adversarial Machine Learning
  • Cloud‑based ML/AI Platforms

Please reach out to collaborate! 😊