PhD Student & Research Assistant

Cybersecurity for Smart Grids and Critical Infrastructure

I research resilient cyber-physical systems, anomaly detection, and the secure operation of modern energy infrastructures.

Explore Research Get in Touch
  • Smart Grids
  • Anomaly Detection
  • Critical Infrastructure

About

Research at the intersection of cybersecurity and energy systems.

I'm a PhD student and research assistant focused on protecting smart grids and cyber-physical systems. My work combines security engineering, data-driven anomaly detection, and resilient system design for infrastructures where reliability matters.

I use this space to collect my research interests, publications, projects, teaching activities, and contact links in one clear academic profile.

PhD Cybersecurity Research
CPS Cyber-Physical Systems
SG Smart Grid Security

Research Interests

Security methods for data-rich, safety-critical infrastructure.

01

Anomaly Detection

Detecting abnormal behavior in networked energy systems using data-driven, model-aware, and explainable approaches.

02

Cyber-Physical Resilience

Understanding how attacks propagate across computation, communication, and physical grid processes.

03

Critical Infrastructure Security

Designing practical safeguards for dependable operation, monitoring, and incident response in essential services.

Cybersecurity for Smart Grids

Securing the digital layer of modern power systems.

Threat Modeling

Mapping adversarial paths across sensors, controllers, protocols, and operational workflows.

Operational Monitoring

Building signals that help distinguish faults, disturbances, and malicious activity.

Resilient Design

Supporting architectures that continue to operate safely under uncertainty and attack.

Selected Projects

Research directions I am developing across smart-grid and CPS security.

Smart GridSecurity

Secure Smart-Grid Monitoring

I work on monitoring, attack detection, and situational awareness for smart-grid environments where cyber events can affect physical operation.

MLAnomaly Detection

Data-Driven Anomaly Detection

I study methods that identify suspicious behavior in high-dimensional operational data while keeping the results interpretable for defenders.

CPSResilience

Cyber-Physical Testbeds

I use experimental environments to evaluate attacks, defenses, and operational response in cyber-physical systems.

Publications

My peer-reviewed work in AI-assisted security, smart grids, and cyber-physical systems.

Teaching

Courses and exercises I support at CS7.

Winter Semester 2025/26

  • Communication Systems Exercises (ÜKS)
  • Seminar Kommunikationssysteme (Cybersecurity in Smart Grids)

Summer Semester 2025

  • Rechnerkommunikation Übungen (ÜRK)

Winter Semester 2024/25

  • Übungen zu Kommunikationssysteme (ÜKS)

Summer Semester 2024

  • Rechnerkommunikation Übungen (ÜRK)

Winter Semester 2023/24

  • Übungen zu Kommunikationssysteme (ÜKS)

Summer Semester 2023

  • Rechnerkommunikation Übungen (ÜRK)

Reference: my CS7 chair profile

Contact

I am open to research exchange and academic collaboration.

Connect with me through institutional email or my academic profiles for cybersecurity, smart-grid security, anomaly detection, and critical infrastructure research exchange.

Institutional email mamdouh.muhammad@fau.de

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