Muhammad Adeel Nisar
Department of Information Technology
Faculty of Computing and IT, Unversity of the Punjab, Lahore
Research Interests
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Machine Learning
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Time Series Data Understanding and Processing
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Sensor-based Human Activity Recognition
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Data Science for Assistive Health Technologies
Journal Papers
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Muhammad Adeel Nisar, Kimiaki Shirahama, Frédéric Li, Xinyu Huang and Marcin Grzegorzek: ``Rank Pooling Approach for Wearable Sensor-Based ADLs Recognition'', Sensors, Vol. 20, No. 12, Article No. 3463, 2020 (Paper (Open access), Codes and datasets)
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Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Xinyu Huang and Marcin Grzegorzek: ``Deep Transfer Learning for Time Series Data Based on Sensor Modality Classification'', Sensors, Vol. 20, No. 15, Article No. 4271, 2020 (Paper (Open access), Codes and datasets))
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Frédéric Li, Kimiaki Shirahama, Muhammad Adeel Nisar, Lukas Köping, Marcin Grzegorzek: ``Comparison of Feature Learning Methods for Human Activity Recognition using Wearable Sensors'', Sensors, Vol. 18, No. 2, Article No. 679, 2018 (Paper (Open access), Project page with codes and datasets)
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Muhammad Tausif Irshad, Muhammad Adeel Nisar, Philip Gouverneur, Marion Rapp, Marcin Grzegorzek: ``AI Approaches Towards Prechtl’s Assessment of General Movements: A Systematic Literature Review'', Sensors, Vol. 20, No. 18, Article No. 5321, 2020 Paper (Open access)
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Corinna Peifer, Anita Pollak, Olaf Flak, Adrian Pyszka, Muhammad Adeel Nisar, Muhammad Tausif Irshad, Marcin Grzegorzek, Bastian Kordyaka, and Barbara Kozusznik: ``The symphony of team flow in virtual teams using artificial intelligence for its recognition and promotion'', Frontiers in Psychology, Vol. 12, 2021 (Paper (Open access)
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Fatima Amjad, Muhammad Hassan Khan, Muhammad Adeel Nisar, Muhammad Shahid Farid, and Marcin Grzegorzek: ``A comparative study of feature selection approaches for human activity recognition using multimodal sensory data. '', Sensors, Vol. 21, No. 7, Article No. 2368, 2020 (Paper (Open access)
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Muhammad Tausif Irshad, Muhammad Adeel Nisar, Xinyu Huang, Jana Hartz, Olaf Flak, Frédéric Li, Philip Gouverneur, Artur Piet, Kerstin Oltmanns, Marcin Grzegorzek: ``SenseHunger: Machine Learning Approach to Hunger Detection Using Wearable Sensors. '' ACCEPTED in MDPI Sensors, Vol. , No. , Article No. , 2022.
Preprint Papers
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AUGUSTINOV G, NISAR MA, LI F, TABATABAEI A, GRZEGORZEK M, SOHRABI K, Fudickar S. Transformer-Based Recognition of Activities of Daily Living from Wearable Sensor Data. doi:10.21203/rs.3.rs-2015249/v1. PPR:PPR539476.
Conference/Workshops Papers
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Anne Stein, Karen Otte, Hannah Röhling, Frédéric Li, Muhammad Adeel Nisar, and Marcin Grzegorzek. Segmentation of infants in depth data: Evaluation of thresholding approaches In: Buzug T.M. , Handles H. , Klein S. , Hübner C. , Mertins A. , Rostalski P. , Student Conference Proceedings 2022: Medical Engineering Science, Medical Informatics, Biomedical Engineering, Auditory Technology, Biophysics and Robotics and Autonomous Systems , Lübeck , Infinite Science Publishing , 307-310 , 2022
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Gabriela Augustinov, Muhammad Adeel Nisar, Frédéric Li, Amir Tabatabaei, Marcin Grzegorzek, Keywan Sohrabi, and Sebastian Fudickar. 2022. Transformer-Based Recognition of Activities of Daily Living fromWearable Sensor Data. In iWOAR ’22: 7th international Workshop on Sensor Based Activity Recognition and Artificial Intelligence, September 19–20, 2022, Rostock, Germany. ACM, New York, NY, USA,