13 machine-learning "https:" "https:" "https:" "https:" "https:" "Ulster University" positions
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-based transfer learning classification model for two-class motor imagery brain-computer interface. International Journal of Neural Systems (IJNS). https://doi.org/10.1142/S0129065719500254 * Kudithipudi
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, G. et al. Machine learning and wearable sensors for automated Parkinson’s disease diagnosis aid: a systematic review. J Neurol 271, 6452–6470 (2024). https://doi.org/10.1007/s00415-024-12611-x Nayan
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at Ulster University
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Dunne, AB Lennon Journal of biomechanics 80, 8-15 https://doi.org/10.1016/j.jbiomech.2018.07.033 The Doctoral College at Ulster University
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deep learning’s applicability to achieve environmental sustainability. Post-disaster Damage Assessment Using Satellite Imagery and Machine Learning Supervisor Names: Dr. Muhammad Shafi This project will
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and machine learning techniques for the design of superconducting qubits, one of the leading qubit modalities used in today’s quantum computers. The optimal design of superconducting qubits is a highly
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mobile health technologies enable the continuous capture of rich, multimodal physiological and behavioural data. These data when analysed with Artificial Intelligence (AI) and machine learning methods can
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C. Yin, P. Xiao, V. Sharma, Z. Chu, Garcia-Palacios, Machine Learning Based Physical Layer Security for Detecting Active Eavesdropping Attacks, IEEE Commun. Lett., 1-5, 2025. Bowman, T., Georgalas
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, Jose Landivar-Scott, Nick Duffield, Kevin Nowka, Jinha Jung, Anjin Chang, Kiju Lee, Lei Zhao, Mahendra Bhandari, Unmanned aerial system and machine learning driven Digital-Twin framework for in-season
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manufacturing sectors. Applicants should have a good background in mechanical, energy, or related engineering disciplines, with knowledge of thermal-fluid sciences, and be familiar with or willing to learn