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 00147 Dr Gianluca Demartini, School of Information Technology and Electrical Engineering Dr Shrikanta Bedathur, Department of Computer Science & Engineering TT Knowledge Graph Enrichment for Health Search i data science, knowledge graphs, health search, data quality knowledge graphs, linked data, software engineering, data management 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