Rolf Egert

nameRolf Egert
positionDoctoral Researcher
eMailegert(AT)tk(dot)tu-darmstadt(dot)de
phone+49 (6151) 16 - 23205
fax+49 (6151) 16 - 23202
officeS2|02 A316
postal addressTU Darmstadt - FB 20
FG Telekooperation
Hochschulstraße 10
D-64289 Darmstadt
Germany

Short Biography

Rolf Egert is a PhD student in the area of Smart Protection in Infrastructures and Networks(SPIN) at the Telekooperation Lab under the direction of Prof. Dr. Max Mühlhäuser. In 2016 he received two master degrees in computer science (with minor in psychology) and it-security from TU Darmstadt with his thesis “analysis of the MTProto protocol”. 

Research Interests

  • Resilience and Self-Healing in Critical Infrastructures
  • Smart Grid Modelling and Control
  • Smart Grid Security

Project Work

Project ADRAS: Software Campus

Project PolyEnergyNet: BMWI Forschungsinitiative

Teilprojekt CRISP - Wertschöpfung mit privatheitsrelevanten Nutzerdaten: BMBF 

Publications

Additional Attributes

Type

A Service Quality Indicator for Apriori Assessment and Comparison of Cellular Energy Grids (To Appear)

Rolf Egert, Andrea Tundis, Max Mühlhäuser
In: Smart Innovation, Systems and Technologies, June 2018
[Article]

Teaching Activities

  • Seminar Telekooperation WS 16/17
  • Seminar Telekooperation SS 17
  • Seminar Telekooperation WS 17/18
  • Seminar Protection in Infrastructures and Networks SS 18

Theses

5 Entries found


18.04.2018

Not-I/O

Bachelor Thesis

open


- Starke Programmierfähigkeiten (Notwendig)

-Grundlagenwissen in IT-Sicherheit wünschenswert

-Grundlagenwissen im Bereich von Smart-Home/IoT wünschenswert

06.04.2018

Automated Vulnerability Analysis for Security Assessment in IoT Networks

Bachelor Thesis

in progress


05.04.2018

Anomaly Detection in Smart Home Environments

Master Thesis

in progress


 

- Strong background in IT-Security required

- Good programming skills

- General knowledge about Smart Home/IoT

05.04.2018

Evolutionary Algorithm for optimizing Smart Grid Network Design

Bachelor Thesis

in progress


Optimizing holon-based energy networks using Particle Swarm Optimization

Bachelor Thesis

finished



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