Research Projects

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Note for i-students : Applicants with fellowships (CSIR, UCG-NET, etc.) are encouraged to apply for all projects. Please note that projects marked with an asterisk will only consider applications from i-students with fellowships.

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Project Code UQ Supervisor IITD Supervisor Research Themes Title Student Type (i/q) Keywords Discipline Status
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*/q refractory epilepsy, neurosurgery, mri, pet, machine learning biomedical engineering, computer science, applied mathematics, neuroscience 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/q neuroimaging, epilepsy, data science, machine learning biomedical engineering, applied mathematics, computer science/electronics, neuroscience/neuroimaging, cognitive science/physiology Position Filled - Puneet Dheer
UQIDAR 00198 Professor David Reutens, School of Centre for Advanced Imaging Professor Rahul Garg, Department of Computer Science & Engineering HA, TT Accurate localization of functional brain areas in Epilepsy patients and healthy individuals using naturalistic functional MRI paradigms i/q machine learning, data science, image processing, neuroimaging, epilepsy student should be good at programming and have interest in neurosciences or neuroimaging. the students preferably be bachelor/master/mphil in a relevant field of science, engineering, biology, or medicine Student Required
UQIDAR 00211 Associate Professor Kai-Hsiang Chuang, Queensland Brain Institute (QBI) Assistant Professor Anup Singh, Department of Biomedical Engineering TT Develop novel magnetic resonance imaging with machine learning i/q imaging system, image processing, machine learning physics, engineering, computer science Student Required
UQIDAR 00214 Associate Professor Kai-Hsiang Chuang, Queensland Brain Institute (QBI) Professor Rahul Garg, Department of Computer Science & Engineering TT Develop ultrafast technique for high-resolution imaging of brain function i/q imaging, brain, machine learning physics, engineering, computer science Student Required
UQIDAR 00221 Professor Tapan Saha, School of Information Technology and Electrical Engineering Professor B.K Panigrahi, Department of Electrical Engineering RE, TT Multi time scale wind speed forecasting i-student optimisation, big data analytics, machine learning tools, forecasting. mathematical modelling, classification, forecasting, optimisation, programming Student Required