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 00118 Professor Aleksander Rakic, School of Information Technology and Electrical Engineering Professor Amartya Sengupta, Department of Physics FW, TT, TS Quality Assessment of Exportable Commodity Goods of Australia and Indian Subcontinent Using Non-contact, Non-invasive THz Imaging Technique i* terahertz, imaging, biophysics, photonics physics, electrical engineering, food sciences 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*/q mri, brain, metabolic imaging, epilepsy, diagnosis biomedical engineering, physics chemistry, neuroscience Student Required
UQIDAR 00137 Professor Aleksandar D. Rakić, School of IT and Electrical Engineering Professor Amartya Sengupta, Department of Physics FW, TT, TS Identification of Transgenic Plant Species Using Non-invasive THz Spectroscopy for Advancing Natural and Organic Farming Practices i terahertz, plant phenotypes, imaging, agriculture botany, biochemistry, electrical engineering, physics Position Filled - Urbi Kundu
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*/q 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/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