Research Projects

Project Code UQ Supervisor IITD Supervisor Research Themes Title Student Type (i/a) Keywords Discipline Status
UQIDAR 00126 Professor David Reutens, Centre for Advanced Imaging Assistant Professor Anup Singh, Department of Biomedical Engineering HA, TT Efficient image acquisition for Low Field MRI. i/a note: i-students must have own scholarship to apply (CSIR, UCG-NET, etc) ultra low field, mri, magnetic resonance imaging, biomedical imaging electrical engineering, physics, biomedical engineering, computer science Student Required
UQIDAR 00128 Professor David Reutens, Centre for Advanced Imaging Assistant Professor Anup Singh, Department of Biomedical Engineering TT Diagnostic and predictive MRI and PET biomarkers in First Seizure and Refractory Epilepsy patients: A machine learning approach. i/a note: i-students must have own scholarship to apply (CSIR, UCG-NET, etc) refractory epilepsy, neurosurgery, mri, pet, machine learning biomedical engineering, computer science, applied mathematics, neuroscience Student Required
UQIDAR 00129 Professor David Reutens, Centre for Advanced Imaging Assistant Professor Anup Singh, Department of Biomedical Engineering TT Developing novel metabolic imaging methods to localise epileptogenic tissue i/a note: i-students must have own scholarship to apply (CSIR, UCG-NET, etc) mri, brain, metabolic imaging, epilepsy, diagnosis biomedical engineering, physics chemistry, neuroscience Student Required
UQIDAR 00157 Professor Markus Barth, School of Information Technology and Electrical Engineering Professor Anrup Singh, Department of Biomedical Engineering HA, TT Advancing Cardiac Magnetic Resonance Imaging using Machine Learning i/a note: i-students must have own scholarship to apply (CSIR, UCG-NET, etc) mri, medical imaging, cardiac magnetic resonance, image analysis biomedical engineering, computer science, physics and related, electrical engineering Student Required
UQIDAR 00166 Professor David Reutens, Centre for Advanced Imaging Professor Rahul Garg, Department of Computer Science & Engineering HA, TT Information flow in the normal and epileptic brain i/a neuroimaging, epilepsy, data science, machine learning biomedical engineering, applied mathematics, computer science/electronics, neuroscience/neuroimaging, cognitive science/physiology Student Required
UQIDAR 00179 Dr Sisira Edirippulige, Centre for Health Services Research Assistant Professor Varun Ramamohan, Department of Mechanical Engineering TT, TS Development of a framework for establishing an effective telemedicine system in India i telemedicine, public health industrial engineering, biomedical engineering, electrical engineering Student Required