Research
Ph.D. in Human-Computer Interaction
Cognitive Science/Psychology/Neuroscience/Artificial Intelligence/Machine learning
Master’s in HCI
Cognitive Science/Psychology/Neuroscience/Artificial Intelligence/Machine learning
Key Research Areas
Digital Smell
Development of an electronic nose for smell detection and binary actuation system to puff out odoriferous substances.
Non-Invasive Brain Stimulation for Rehabilitation of Patients with Depression
Developing therapeutic technologies.
Non-Invasive Electrical Stimulation
Treatment of Nerve and Muscle Injuries: This system dynamically adjusts TENS parameters in real-time using GSR and EEG data, ensuring optimal pain relief and patient relaxation.
fNIRS (Functional Near Infrared Spectroscopy)
For early detection and classification of ischemic stroke. Investigating brain function and hemodynamic response.
Photobiomodulation
Device aimed at leveraging light-based therapies for enhancing cognitive function
Brain Disorder Monitoring using EEG
To find the concordance between EEG signal and MRI images of Parkinson’s disease patients.
HRV (Heart Rate Variability) biofeedback for mental health
Affordable devices and protocols for better mental health via alternate forms of medications like biofeedback, classical music, and breathing techniques.
Augmented and Virtual Reality (AR/VR)
Immersive technologies for diverse applications.
Telestroke Network for diagnosis of Stroke
Developing a device for point-of-care stroke detection and classification, enabling remote communication for immediate clinical advice and life-saving intervention.
Centre for Human, Computer Interaction.