As first supervisor:

• Dr. Eugen Berlin, Early Abstraction of Inertial Sensor Data for Long-Term Deployments, 2014
• Dr. Marko Borazio, Rhythm Modelling of Long-Term Activity Data, 2014
• Dr. Vinay Sachidananda, On Maximizing the Efficiency of Multipurpose WSN, 2014
• Dr. Philipp M. Scholl, Activity Recognition With Instrumented Artifacts and Wearable Sensors, 2018
• Dr. Philip Schmidt, Wearable-Based Affect Recognition, 2019
• Dr. Christian Reich, Learning Machine Monitoring Models from Sparse and Noisy Sensor Data Annotations, 2020
• Dr. Sebastian Böttcher, Detecting Epileptic Seizures With Multimodal Non-EEG Data From Wearables, 2023
• Dr. Florian Wolling, Human Body-Enabled Methods for the Implicit Synchronisation of Distributed Wearable Systems, 2023
• Dr. Jochen Kempfle, Motion in Depth: Complementary Sensing of Human Body Motion with IMU and Depth Data, 2024
• Dr. Alexander Hoelzemann, Improved Training Approaches for Embedded Learning with Heterogeneous Sensor Data, 2024
• Dr. Jennifer Daniel Onwuchekwa, Improving personalized hypoglycemia prediction - Integrating of multimodal and ..., 2025
• Dr. Marius Bock, On the Complementarity of Video and Inertial Data for Human Activity Recognition, 2025

As co-supervisor or examiner:

• Dr. Christian Seeger, Event-driven Middleware for Body and Ambient Sensor Applications, 2014
  co-supervised with Prof. Dr. Alejandro Buchmann, TU Darmstadt, Germany
• Dr. Sofia Nikitaki, Efficient Indoor Localization via Spatial Sparsity and Matrix Completion, 2014
  supervisor: Prof. Dr. Panagiotis Tsakalides, FORTH-ICS in Heraklion, Greece
  
• Dr. Nils Hammerla, Activity Recognition in Naturalistic Environments using Body-Worn Sensors, 2014
  supervisor: Prof. Dr. Thomas Ploetz, Newcastle University, UK
• Dr. Pablo Guerrero, Workflow support for low-power wireless sensor and actuator networks, 2014
  supervisor: Prof. Dr. Alejandro Buchmann, TU Darmstadt, Germany
• Dr. Tobias Große-Puppendahl, Capacitive Sensing and Communication for Ubiquitous Interaction and Environmental Perception, 2015
  supervisor: Prof. Dr. Dieter Fellner, TU Darmstadt, Germany
• Dr. Darshan Santani, Computational Analysis of Urban Places Using Mobile Crowdsensing, 2016
  supervisor: Prof. Dr. Daniel Gatica-Perez, EPFL, Switzerland
• Dr. Gerald Pirkl, Magnetic Field-based Localization System, 2016
  supervisor: Prof. Dr. Paul Lukowicz, DFKI / TU Kaiserslautern
• Dr. Immanuel Koenig, An algorithmic approach to increase the context prediction accuracy by utilizing multiple context sources, 2016
  supervisor: Prof. Dr.-Ing. Klaus David, University of Kassel
• Dr. Muhammad Muaaz, Implicit Biometric Authentication for Smartphones, 2017
  supervisor: Prof. Dr.-Ing. Rene Mayrhofer, Johannes Kepler University Linz, Austria
• Dr. Manuel Dietrich, Alltägliches Handeln in intelligenten Systemen, 2018
  supervisor: Prof. Dr.-Ing. Christoph Hubig, TU Darmstadt, Germany
• Dr. Fan Yang, Towards Deeply Reconfigurable, Long-Life Internet of Things Platforms, 2019
  supervisor: Prof. dr. Danny Hughes, KU Leuven, Belgium
• Dr. Dominik Schuldhaus, Human Activity Recognition in Daily Life and Sports Using Inertial Sensors, 2019
  supervisor: Prof. Dr. Björn Eskofier, FAU Erlangen-Nürnberg, Germany
• Dr. Chu Luo, Validating Context-Driven Features of Mobile Applications Using Laboratory Testing, 2019
  supervisor: Prof. Dr. Vassilis Kostakos, University of Melbourne, Australia
• Dr. Bernhard Anzengruber, A Cognitive Ensemble Reference Architecture, 2019
  supervisor: Prof. Dr. Alois Ferscha, Johannes Kepler University Linz, Austria
• Dr. Francisco Kiss, Reshaping Ubiquitous Interaction through Sensory Augmentation, 2020
  supervisor: Prof. Dr. Albrecht Schmidt, LMU Munich, Germany
• Dr. Jacob Kamminga, Hiding in the Deep: Online Animal Activity Recognition using Motion Data and Machine Learning, 2020
  supervisor: Prof. dr. Paul Havinga, University of Twente, The Netherlands
• Dr. Biying Fu, Sensor-driven Applications for Human Activity Recognition in Smart Environments, 2020
  supervisor: Prof. dr. Arjan Kuijper, TU Darmstadt, Germany
• Dr. Matthias Seuter, Designing and Evaluating Input Techniques for Running Sports, 2021
  supervisor: Prof. Dr. Christian Kray, University of Münster, Germany
• Dr. Sebastian Frank, Analysis of capacitive proximity sensing as basis for human vehicle interfaces, 2021
  supervisor: Prof. dr. Arjan Kuijper, TU Darmstadt, Germany
• Dr. Marian Haescher, Adaptive Filtering and Transformation of Cardiac Motion-Induced Signals during Low-Amplitude Activities, 2021
  supervisor: Prof. Dr.-Ing. Bodo Urban, Prof. Dr. Christian Haubelt, Uni Rostock, Germany
• Dr. Benjamin Voelker, Acquiring, Congregating, and Processing High-Frequency Electricity Data in Distributed Environments, 2021
  supervisor: Prof. Dr. Bernd Becker, Uni Freiburg, Germany
• Dr. Shkurta Gashi, Robust Sensor-based Recognition of Human Behavior, 2022
  supervisor: Prof. Dr. Silvia Santini, University of the Swiss Italian, Switzerland
• Dr. Sizhen Bian, Human Activity Recognition with Field Sensing Technique, 2022
  supervisor: Prof. Dr. Paul Lukowicz, DFKI / TU Kaiserslautern, Germany
• Dr. Ashok Samraj Thangarajan, Energy-Aware Processing for the Industrial Internet of Things, 2022
  supervisor: Prof. dr. Danny Hughes, KU Leuven, Belgium
• Dr. Chaofan Wang, Automated Monitoring of Hand Hygiene Quality, 2022
  supervisor: Prof. Dr. Vassilis Kostakos, University of Melbourne, Australia
• Dr. Jonathan Jakob, Incremental Learning in Regression Contexts, 2024
  supervisor: Prof. Dr. Barbara Hammer, University of Bielefeld, Germany and Dr. Martina Hasenjäger, Honda Research Institute
• Dr. Philipp Hofer, Enhancing Privacy-Preserving Biometric Authentication through Decentralization, 2024
  supervisor: Prof. Dr. Rene Mayrhofer, Johannes Kepler University Linz, Austria
• Dr. Yexu Zhou, Lightweight Neural Networks for Human Activity Recognition, 2024
  supervisor: Prof. Dr. Michael Beigl, Karlsruhe Institute of Technology, Germany
• Dr. Hymalai Bello, Unimodal and Multimodal Sensor Fusion for Wearable Activity Recognition, 2024
  supervisor: Prof. Dr. Paul Lukowicz, University of Kaiserslautern-Landau, Germany
• Dr. Jonas Van Der Donckt, From Visualization to Machine Learning: Advancing Time Series Analytics on Wearable Sensor Data, 2025
  supervisors: Prof. Dr. Sofie Van Hoecke and Prof. Dr. Femke Ongenae, University of Gent, Belgium