Automatic Fault Detection using Cause and Effect Rules for In-vehicle Networks. - Alexander Kordes; Sebastian Wurm; Hawzhin Hozhabrpour; Roland Wismüller (VEHITS, 2018)

Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach. - Hawzhin Hozhabr Pour; Lukas Wegmeth; Alexander Kordes; Marcin Grzegorzek; Roland Wismüller (CORES, 2019)

A Machine Learning Framework for Automated Accident Detection Based on Multimodal Sensors in Cars. - Hawzhin Hozhabr Pour; Frédéric Li; Lukas Wegmeth; Christian Trense; Rafal Doniec; Marcin Grzegorzek; Roland Wismüller (Sensors, 2022)

Anomaly detection and event recognition in cars based on multimodal sensor data interpretation (Anomalieerkennung und Ereigniserkennung in Autos basierend auf der Interpretation multimodaler Sensordaten) - Hawzhin Hozhabrpour (2023)

Evaluating Movement and Device-Specific DeepConvLSTM Performance in Wearable-Based Human Activity Recognition. - Gabriela Ciortuz; Hawzhin Hozhabr Pour; Sebastian J. F. Fudickar (BIOSTEC (2), 2024)

Performance Analysis of a Data Stream Processing System for Online Activity Classification via Wearable Sensor Data. - Hawzhin Hozhabr Pour; Gabriela Ciortuz; André Lüers; Sebastian J. F. Fudickar (BIOSTEC (2): HEALTHINF, 2025)

Machine learning models for wearable-based human activity recognition: A comparative study. - Gabriela Ciortuz; Hawzhin Hozhabr Pour; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Xinyu Huang 003; Sebastian J. F. Fudickar (Neurocomputing, 2025)