Research Projects

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 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 00161 Honorary Professor Raja Jurdak, School of IT and Electrical Engineering Professor Swades De, Department of Electrical Engineering RE, TT Learning-based optimization strategies for sustainable IoT communications i edge computing, sustainable iot communications, learning techniques, sparse signal processing electrical communication engineering, computer engineering/technology, applied mathematics, signal prrocessing Position Filled - Sushmita Ghosh
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