AI Approaches towards Prechtl's Assessment of General Movements: A Systematic Literature Review. - Muhammad Tausif Irshad; Muhammad Adeel Nisar; Philip Gouverneur; Marion Rapp; Marcin Grzegorzek (Sensors, 2020)

SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors. - Muhammad Tausif Irshad; Muhammad Adeel Nisar; Xinyu Huang 003; Jana Hartz; Olaf Flak; Frédéric Li; Philip Gouverneur; Artur Piet; Kerstin M. Oltmanns; Marcin Grzegorzek (Sensors, 2022)

Symmetric Projection Attractor Reconstruction Analysis as a Method to Assess Seismocardiogram Quality in a Healthy Population. - Szymon Siecinski; Muhammad Tausif Irshad; Md. Abid Hasan; Ewaryst J. Tkacz; Pawel S. Kostka; Marcin Grzegorzek (EMBC, 2023)

Exploring the Benefits of Time Series Data Augmentation for Wearable Human Activity Recognition. - Md. Abid Hasan; Frédéric Li; Artur Piet; Philip Gouverneur; Muhammad Tausif Irshad; Marcin Grzegorzek (iWOAR, 2023)

Assessment of Quality of Gyrocardiograms Based on Features Derived from Symmetric Projection Attractor Reconstruction. - Szymon Siecinski; Muhammad Tausif Irshad; Md. Abid Hasan; Ewaryst Tkacz; Marcin Grzegorzek (iWOAR, 2023)

Sensor-Based Classification of Primary and Secondary Car Driver Activities Using Convolutional Neural Networks. - Rafal Doniec; Justyna Konior; Szymon Siecinski; Artur Piet; Muhammad Tausif Irshad; Natalia Piaseczna; Md. Abid Hasan; Frédéric Li; Muhammad Adeel Nisar; Marcin Grzegorzek (Sensors, 2023)

Sleep Stage Classification in Children Using Self-Attention and Gaussian Noise Data Augmentation. - Xinyu Huang 003; Kimiaki Shirahama; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Artur Piet; Marcin Grzegorzek (Sensors, 2023)

A Hierarchical Multitask Learning Approach for the Recognition of Activities of Daily Living Using Data from Wearable Sensors. - Muhammad Adeel Nisar; Kimiaki Shirahama; Muhammad Tausif Irshad; Xinyu Huang 003; Marcin Grzegorzek (Sensors, 2023)

Optimizing sleep staging on multimodal time series: Leveraging borderline synthetic minority oversampling technique and supervised convolutional contrastive learning. - Xinyu Huang 003; Franziska Schmelter; Muhammad Tausif Irshad; Artur Piet; Muhammad Adeel Nisar; Christian Sina; Marcin Grzegorzek (Comput. Biol. Medicine, 2023)

Wearable-based human flow experience recognition enhanced by transfer learning methods using emotion data. - Muhammad Tausif Irshad; Frédéric Li; Muhammad Adeel Nisar; Xinyu Huang 003; Martje Buss; Leonie Kloep; Corinna Peifer; Barbara Kozusznik; Anita Pollak; Adrian Pyszka; Olaf Flak; Marcin Grzegorzek (Comput. Biol. Medicine, 2023)

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)

Assessment of quality of electrocardiograms, seismocardiograms, and gyrocardiograms based on features derived from symmetric projection attractor reconstruction in healthy subjects. - Szymon Siecinski; Muhammad Tausif Irshad; Md. Abid Hasan; Rafal Doniec; Pawel Kostka; Ewaryst Tkacz; Marcin Grzegorzek (Biomed. Signal Process. Control., 2026)