Research Directions

Psychobiological basis of neuro-rehabilitation, translational models of neuropsychiatric conditions, underlying mechanisms and biomarkers of environmental and lifestyle influence in mental health, including physical exercise-induced brain plasticity, and psychiatric impacts of early life adversities.

Neuroscience of cognitive rehabilitation, social cognition, neurobiology of mood disorders, non-invasive brain stimulation, neuroimaging using PET and MRI, neuropsychological assessment using fNIRS and EEG, mix-reality and artificial intelligence.

Neuropsychiatric and vocational rehabilitation programmes, psychophysiology of mind-body interventions, stress management, mindfulness-based interventions, neuroimaging in physical and mindfulness exercise.

Social and cultural influences on mental health, stigma and discrimination related to mental illness, psychosocial interventions for mental disorders, social and cultural factors in help-seeking behavior for mental health issues, cultural diversity and mental health.

Mental health help-seeking and service use, well-being of children and adolescents, social capital and resilience, social policy and social service system.

Digital mental health research focuses on leveraging emerging technologies—such as wearable and ambient sensors, mobile devices, and multimodal data streams—combined with advanced AI algorithms to enable scalable screening, continuous monitoring, and early diagnosis of mental health conditions. By integrating physiological, behavioral, and environmental signals, these approaches aim to develop objective, data-driven tools for early risk detection and personalised intervention.