Research fellow and PhD candidate at:

Karlsruhe Institute of Technology (KIT)
Campus Süd
Institute of Telematics
Chair for Pervasive Computing Systems / TECO, Building 07.07
Vincenz-Prießnitz-Straße 1
76131 Karlsruhe
email: antonios@teco.edu


Robert Bosch GmbH
Research and Advance Engineering
Software Intensive Systems (CR/AEX3)
70465 Stuttgart

Tel. +49(711)811-49880
Mobil +49 172 4363011
email: Antonios.Karatzoglou@de.bosch.com


Research Interests:

  • Semantic-driven Optimization of Probabilistic and Machine Learning Models
  • Knowledge and Ontology engineering
  • Machine Learning and Probabilistic Modeling
  • Human-Computer-Interaction & Personalization
  • Semantic Enhanced Prediction


Short CV:

  • 2015 – (now): Research engineer and PhD Candidate
  • 2004 – 2014: Electrical Engineering and Information Technology (ETIT) Studies at the University of Karlsruhe (KIT),
    • Specialization topic: Automation and Information Processing (Control Engineering, Machine Learning, Robotics)
    • Diploma (aka Master) Thesis at Robert Bosch GmbH and the University of Karlsruhe (KIT), TECO
  • 1997-2003: Electrical and Electronic Engineering Studies at the University of Applied Sciences (TEIWM) in Kozani, Greece


  • Diploma (aka Master) Thesis at Robert Bosch GmbH and TECO, KIT
  • Internship at Robert Bosch GmbH
  • Student Research Project at TECO, Karlsruhe Institute of Technlogy (KIT)
  • Student Research Assistant at TECO, Karlsruhe Institute of Technlogy (KIT)
  • Student Research Assistant at Fraunhofer Institute IOSB, Karlsruhe
  • Student Research Assistant at Engler-Bunte-Institute, Karlsruhe
  • Teaching Assistant at the Industrial Automation Laboratory at TEIWM, Kozani, Greece
  • Internship at KIKIS AVEE, Water Boilers and Solar Systems, Kozani, Greece



  • 2017 – (running): ScaleIT – Industry 4.0: Scalable ICT for increasing productivity in mechatronics manufacturing (ScaleIT)
  • 2016 – 2017: KEESMARTHOME – Comfort-Efficiency-Equilibrium in Smart Environments (Keesmarthome)



  • Chair at the 6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2017)


Supervised Bachelor/Master/PdF Theses:

  • Towards Building an Affective Synthetic Semantic Trajectory Generator: a User Study (Imanuel Richter)
  • Identification of environment- and context-specific key factors influencing the users’ thermal comfort through data mining (Yannick Meny)
  • Ontology-based Information Flow Control and Visualisation in an Industry 4.0 Scenario (Oliver König)
  • Activity-driven semantic similarity for semantic location prediction (Dominik Köhler)
  • Predictive Control for a comfort-efficiency-equilibrium in a Smart Home Environment (Vethiga Srikanthan, Julian Janßen)


Other Supervising Activities:

  • Mobile Computing and Ubiquitous Technologies Seminar
  • Designing and Conducting Experimental Studies Seminar
  • Praxis der Forschung (PdF)


Peer-reviewed Publications


Antonios Karatzoglou, Harun Sentürk, Adrian Jablonski, Michael Beigl (2017) Applying Artificial Neural Networks on Two-Layer Semantic Trajectories for Predicting the Next Semantic Location, Artificial Neural Networks and Machine Learning -- ICANN 2017: 26th International Conference on Artificial Neural Networks, Alghero, Italy, September 11-14, 2017, Proceedings, Part II, Alessandra Lintas, Stefano Rovetta, Paul F M J Verschure, Alessandro E P Villa (ed.), p. 233-241, Cham: Springer International Publishing, url, doi:10.1007/978-3-319-68612-7_27

A. Karatzoglou, J. Janßen, V. Srikanthan, Y. Ding, M. Beigl (2017) Comfort-efficiency-equilibrium a proactive, at room level individualized climate control system for smart buildings, SMARTGREENS 2017 - Proceedings of the 6th International Conference on Smart Cities and Green ICT Systems


Antonios Karatzoglou, Markus Scholz, Till Riedel, Michael Beigl (2012) A prototype of an in-situ radio sensing and visualization device. Demo Paper., Proceedings of Ninth International Conference on Networked Sensing Systems (INSS 2012), Antwerp, Belgium: IEEE