An Energy Efficient Second-Order σδ modulator Based on the Power and Delay Optimization of CBSC IIR filter. - Mehdi Taghizadeh; Ammar Rahimi Kazerooni; Majid Zamani 002; Payman Goodarzi (J. Circuits Syst. Comput., 2012)

Erratum: "an Energy Efficient Second-Order σδ modulator Based on the Power and Delay Optimization of CBSC IIR filter". - Mehdi Taghizadeh; Majid Zamani 002; Payman Goodarzi; Ammar Rahimi Kazerooni (J. Circuits Syst. Comput., 2013)

Machine Learning based calibration time reduction for Gas Sensors in Temperature Cycled Operation. - Yannick Robin; Payman Goodarzi; Tobias Baur 002; Caroline Schultealbert; Andreas Schütze; Tizian Schneider (I2MTC, 2021)

Transfer Learning to Significantly Reduce the Calibration Time of MOS Gas Sensors. - Yannick Robin; Johannes Amann; Payman Goodarzi; Andreas Schütze; Christian Bur (ISOEN, 2022)

Towards Interpretable Machine Learning for Automated Damage Detection Based on Ultrasonic Guided Waves. - Christopher Schnur; Payman Goodarzi; Yevgeniya Lugovtsova; Jannis Bulling; Jens Prager; Kilian Tschöke; Jochen Moll; Andreas Schütze; Tizian Schneider (Sensors, 2022)

Comparing Different Feature Extraction Methods in Condition Monitoring Applications. - Payman Goodarzi; Steffen Klein; Andreas Schütze; Tizian Schneider (I2MTC, 2023)

Comparison of Explainable Machine Learning Algorithms for Optimization of Virtual Gas Sensor Arrays. - Yannick Robin; Johannes Amann; Payman Goodarzi; Tizian Schneider; Andreas Schütze; Christian Bur (I2MTC, 2023)

Development of a bearing test-bed for acquiring data for robust and transferable machine learning. - Christopher Schnur; Yannick Robin; Payman Goodarzi; Tanja Dorst; Andreas Schütze; Tizian Schneider (I2MTC, 2023)

Deep convolutional neural networks for cyclic sensor data. - Payman Goodarzi; Yannick Robin; Andreas Schütze; Tizian Schneider (CoRR, 2023)

Comparing AutoML and Deep Learning Methods for Condition Monitoring using Realistic Validation Scenarios. - Payman Goodarzi; Andreas Schütze; Tizian Schneider (CoRR, 2023)

Deep Neural Network Representation for Explainable Machine Learning Algorithms: A Method for Hardware Acceleration. - Julian Schauer; Payman Goodarzi; Andreas Schütze; Tizian Schneider (I2MTC, 2024)

Energy-Efficient Implementation of Explainable Feature Extraction Algorithms for Smart Sensor Data Processing. - Julian Schauer; Payman Goodarzi; Andreas Schütze; Tizian Schneider (IEEE SENSORS, 2024)

Efficient Distribution-Aware Ensemble Learning for Multi-Sensor Systems. - Payman Goodarzi; Julian Schauer; Andreas Schütze (I2MTC, 2025)

Feature Extraction Based On Signal Similarity for Damage Detection with Ultrasonic Guided Waves. - Houssam El Moutaouakil; Vittorio Memmolo; Julian Schauer; Payman Goodarzi; Tizian Schneider; Andreas Schütze (I2MTC, 2025)