Contact Details

nameCarlos Garcia Cordero
positionResearcher at GRK: Privacy and Trust for mobile Users

garcia (AT) tk(DOT)tu-darmstadt(DOT)de

phone+49 (6151) 16 - 23205
fax+49 (6151) 16 - 23202
officeS2|02 A 316
postal addressTU Darmstadt - FB 20
FG Telekooperation
Hochschulstraße 10
D-64289 Darmstadt

Research Interests

  • Machine learning

    • Anomaly Detection
    • Bayesian Networks
    • Deep Learning

  • Network Intrusion Detection

    • Collaborative Intrusion Detection
    • Distributed Intrusion Detection

  • Human Computer Interaction

    • 3D printing, computer graphics and 3D modeling tools

Short Biography

Carlos García Cordero is a scientist, systems engineer, mathematician, musician and thinker.

Carlos' research experience and interests are wide and cover diverse topics such as cyber-security, artificial intelligence, programming languages, compilers, machine learning and computer graphics, among others. 

Carlos is currently studying a PhD in Cyber Security and Distributed Machine Learning at TU Darmstadt. He has an MSc in Artificial Intelligence from The University of Edinburgh and a BSc in Computer Systems Engineering from the ITESM CSF in Mexico, both achieved with the highest honors.


HOLEG: a Simulator for Evaluating Resilient Energy Networks based on the Holon Analogy

Author Rolf Egert, Carlos Garcia Cordero, Andrea Tundis, Max Mühlhäuser
Date October 2017
Kind Inproceedings
Book title21st IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2017)
LocationRome, Italy
Research Areas SPIN: Smart Protection in Infrastructures and Networks, Telecooperation
Abstract <div>The process of designing and evaluating distributed</div> <div>Cyber-Physical Systems (CPSs) is not a trivial task. There</div> <div>are many challenges to tackle such as managing distributed</div> <div>resources, enabling communication between components, and</div> <div>choosing performance metrics to evaluate the “goodness” of</div> <div>the system. Smart Grids (SGs) are prominent representatives</div> <div>of CPSs, a particular type of Critical Infrastructure (CI), whose</div> <div>organizational model is becoming more distributed and dynamic.</div> <div>Due to this paradigm shift, new control and management mechanisms</div> <div>need to be identified and tested to guarantee uninterrupted</div> <div>operation. However, novel approaches cannot always be tested</div> <div>against real networks as the economic cost and risk can be</div> <div>high. In contrast, modeling and simulation techniques are viable</div> <div>evaluation mechanisms that support the continuous evolution of</div> <div>CIs. In this paper, we present an Open Source time-discrete</div> <div>simulation software, called HOLEG, that models and evaluates</div> <div>SGs. The software is based on the Holon analogy, a bioinspired</div> <div>approach that enables systems resilience through flexible</div> <div>reconfiguration mechanisms. The presented software provides</div> <div>features that enable the integration and execution of optimization</div> <div>algorithms along with their evaluation. To demonstrate HOLEG,</div> <div>a case study is presented where a heuristic algorithm is implemented</div> <div>to minimize wasted energy while preventing network</div> <div>destabilization.</div>
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2 Entries found


Optimizing holon-based energy networks using Particle Swarm Optimization

Bachelor Thesis

in progress


Predicting vulnerabilities in software

Master Thesis

in progress

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