ADLs

Process-aware Pattern Recognition and Deviation Detection Under Uncertainty

Leveraging domain knowledge (process) to enhance the perforamnce and interpretability of machine learning models and handling uncertain and probabilistic data.

Successfully defend my PhD thesis with no correction.

Successfully defend my PhD thesis with no correction.

Present the work of Process-aware Human Activity Recognition at Multimodal AI workshop.

Present the work of "Process-aware Human Activity Recognition" at Multimodal AI workshop.

Present our work of probabilistic conformance checking at HICSS conference in Honolulu, Hawaii.

Present our work of probabilistic conformance checking at HICSS conference in Honolulu, Hawaii.

Give a talk on ''Digital Twin for Assisted Living'' at Xidian University.

Give a talk on Digital Twin for Assisted Living at Xidian University.

Give a talk on ''Activities of Daily Living of Older Adults'' at Advanced Care Research Centre.

Give a talk on ''Activities of Daily Living of Older Adults'' at Advanced Care Research Centre.

Present the work of ''Predictive Behavioural Monitoring in Activities of Daily Livings of Older Adults'' at the International Conference on Health Informatics (HealthINF).

Present the work of ''Predictive Behavioural Monitoring in Activities of Daily Livings of Older Adults'' at the International Conference on Health Informatics (HealthINF).

Talk in DigiFest2021: Proactive health monitoring based on Activities of Daily Living

This talk focused on an onging project. This is aimed at exploiting sensor data on Activities of Daily Living (ADLs) to detect deviations and deterioration from a healthy routine. We also use our models to investigate the realtionship between sleep duration and other activities.

Advanced Care & Research Center (ACRC)

Data-driven innovations for healthy ageing, funded by Legal & General for £20 million.