Research and A.I. engineer at:

Robert Bosch GmbH
Chassis System Control
Advanced Engineering sector
70465 Stuttgart

Tel. +49(7062)911-4998
Mobil +49 172 9714506
email: Antonios.Karatzoglou@de.bosch.com
email: Antonios@teco.edu

Research Interests:

  • Semantic Trajectories: Modeling and Prediction
  • 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:

  • 2019 – now: AI Algorithms and SW Developer at Robert Bosch, Chassis Systems Control, Advance Engineering
  • 2015 – 2019: PhD in Computer Science at the University of Karlsruhe (KIT)
  • 2015 – 2018  : Research assistant at KIT and at Robert Bosch, Corporate Sector Research and Advance Development
  • 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
    • PLC algorithm implementation


  • 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 – 2019: ScaleIT – Industry 4.0: Scalable ICT for increasing productivity in mechatronics manufacturing (ScaleIT)
  • 2016 – 2017: KEESMARTHOME – Comfort-Efficiency-Equilibrium in Smart Environments (Keesmarthome)



  • PC member at the 20th International Conference on Engineering Applications of Neural Networks (EANN 2019)
  • PC member at the 15th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2019)
  • Chair at the 12th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2018)
  • Chair at the 6th International Conference on Smart Cities and Green ICT Systems (SMARTGREENS 2017)
  • Chair at the 11th International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2017)



  • Best student paper award: Towards an Affective Semantic Trajectory Generator, WiMob 2018
  • Best paper nomination: A predictive comfort- and energy-aware MPC-driven approach based on a dynamic PMV subjectification towards personalization in an indoor climate control scenario, SmartGreens 2018
  • Student research award, KIT 2012


Supervised Bachelor/Master/PdF Theses:

  • Sequence-to-Sequence Learning for Semantic Location Prediction (Adrian Jablonski)
  • Affective Semantic Trajectory Generator (Markus Szarvas)
  • 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


Yannick and Beigl Michael Karatzoglou Antonios and Meny (2019) Identification of Environment- and Context-Specific Key Factors Influencing the User's Thermal Comfort, Smart Cities, Green Technologies and Intelligent Transport Systems, Cornel and Helfert Markus and Gusikhin Oleg Donnellan Brian and Klein (ed.), p. 116-138, Cham: Springer International Publishing

Antonios Karatzoglou (2019) Evolutionary optimization on artificial neural networks for predicting the user’s future semantic location, Engineering Applications of Neural Networks. EANN 2019. Communications in Computer and Information Science 1000, John Macintyre, Lazaros Iliadis, Ilias Maglogiannis, Chrisina Jayne (ed.), p. 379-390, Cham: Springer International Publishing, doi:10.1007/978-3-030-20257-6_32

Antonios Karatzoglou, Jan Ebbing, Phil Ostheimer, Wenlan Hua, Michael Beigl (2019) Sentient user modeling using the example of location prediction, User Modeling and User-Adapted Interaction Journal (UMUAI)(Special Issue: Harnessing personal tracking data for personalization and sense-making (to come))


Antonios Karatzoglou, Julia Anken, Florian Banscher, Lukas Diewald, Michael Beigl (2018) Searching for Temporal Dependencies in the Privacy Concerns of Location-Based Service Users, UBICOMM 2018, The Twelfth International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies, p. 82 to 88, Athens, Greece: IARIA, url

Antonios Karatzoglou, Adrian Jablonski, Michael Beigl (2018) A Seq2Seq Learning Approach for Modeling Semantic Trajectories and Predicting the Next Location, Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, p. 528-531, New York, NY, USA: ACM, url, doi:10.1145/3274895.3274983

Antonios Karatzoglou, Dominik Köhler, Michael Beigl (2018) Semantic-Enhanced Multi-Dimensional Markov Chains on Semantic Trajectories for Predicting Future Locations, Sensors (Basel, Switzerland) 18(10), p. 3582, MDPI, pubmed, doi:10.3390/s18103582

Antonios Karatzoglou, Nikolai Schnell, Michael Beigl (2018) A Convolutional Neural Network Approach for Modeling Semantic Trajectories and Predicting Future Locations, Artificial Neural Networks and Machine Learning -- ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodos, Greece, October 4-7, 2018, Proceedings, Part I, p. 10, Rhodos, Greece: Springer International Publishing

Antonios Karatzoglou, Markus Szarvas, Michael Beigl (2018) Towards an Affective Semantic Trajectory Generator (ASTG), 2018 IEEE 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Limassol, Cyprus: IEEE

Antonios Karatzoglou, Dominik Koehler, Michael Beigl (2018) Purpose-of-Visit-Driven Semantic Similarity Analysis on Semantic Trajectories for Enhancing The Future Location Prediction, 2018 IEEE International Conference on Pervasive Computing and Communications (PerCom) Workshops proceedings), Athens, Greece: IEEE digital libraries (Xplore)

Antonios Karatzoglou, Julian Janssen, Vethiga Srikanthan, Christof Urbaczek, Michael Beigl (2018) A Predictive Comfort- and Energy-aware MPC-driven Approach based on a Dynamic PMV Subjectification towards Personalization in an Indoor Climate Control Scenario, Proceedings of the 7th International Conference on Smart Cities and Green ICT Systems - Volume 1: SMARTGREENS,, p. 89-100, SciTePress, doi:10.5220/0006702500890100


Antonios Karatzoglou, Michael Beigl (2017) Enhancing the Affective Sensitivity of Location Based Services Using Situation-Person-Dependent Semantic Similarity, The Eleventh International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM 2017) , USA Timothy Arndt, Cleveland State University, Japan Evgeny Pyshkin, University of Aizu, German Research Center for Artificial Intelligence Martin Ruskowski, Germany Martin.Ruskowski@dfki.de (DFKI), Federal Institute Farroupilha – Federal Aliane Loureiro Krassmann, Brazil University of Rio Grande do Sul, Japan Hiroaki Higaki, Tokyo Denki University (ed.), p. 95-100, Barcelona, Spain: IARIA

Antonios Karatzoglou, Stefan Lamp, Michael Beigl (2017) Matrix factorization on semantic trajectories for predicting future semantic locations, 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), p. 7, Rome, Italy: IEEE, url, doi:10.1109/WiMOB.2017.8115810

Antonios Karatzoglou, Michael Beigl (2017) [Poster] Applying Situation-Person-Driven Semantic Similarity On Location-Specific Cognitive Frames For Improving Location Prediction, 8th International Conference on Knowledge Engineering and Semantic Web (KESW 2017), p. 4-5, url, doi:10.13140/RG.2.2.15120.51209

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


  • A Method and System for Identifying at Least One (Contextual) State of a Certain Space or Room (Verfahren und System zum Erfassen mindestens eines Zustands eines Raums), DE, 2015.
  • Procedure for Radio Transceivers and a System for Sensing a Certain Area (Betriebsverfahren für Funksendeempfangseinheiten und System zur Erfassung eines Rahmenbereichs), DE, 2018.
  • Data Protection Configuration for Electronic Devices in a Network (Datenschutzkonfiguration für elektronische Geräte in einem Netzwerk), 2018.
  • Procedure for Controlling Electronic Devices (Verfahren zum Steuern eines elektronischen Gerätes), DE, 2019.
  • Server Application and Method for Checking the Plausibility of Privacy Statements (Serveranwendung und Verfahren zur Plausibilisierung von Datenschutzangaben), DE & US, 2019.