Biography
Mohsen joined the faculty of Science and Technology in September 2013 as a full time PhD research student. He received his MSc in computing at the University of Dundee with the thesis titled “Investigating and studying diverse visualization methods on different platform’s base on a stakeholder specific Tele-care system” in 2012. He has been involved in a number of research projects in the field of Computer networking, Human Computer Interaction (HCI) and Machine Learning. Mohsen also received a number of certificates from Microsoft and Cisco and has been involved in many implementation projects.His PhD research is Adapted Home Environments for People with Dementia. In which he is investigating the development of data mining techniques for adaptive home environments with an application on monitoring of people with dementia. Specifically, the aim of his PhD research is to deploy machine learning techniques (e.g., Hidden Markov Models) to model the daily activities of elderly in general and those of demented people and to predict their actions for the sake of their comfort and safety.
Research
Adapted Home Environments for People with Dementia
Dementia is one of the most common causes of mortality in older people. Health care systems around the world are under immense pressure from the growing costs of continuous care for older people with dementia. A relatively effective solution to this problem is to shift the emphasis from formal cares in hospitals and care homes, to informal care in the home.
Smart Home (SH) technologies, as an instance of Ambient Assisted Living (AAL), consist of a mix of technology components (e.g., sensors, actuators, software, etc.) to support its resident to live more independently with better quality of life. SH technology has been proposed to reduce the living and care costs and to improve the quality of life for elder population with dementia. AAL technologies are diverse and versatile: video monitoring, health monitoring, fall detection, hip protector, light management, smart smoke alarm, smart fire alarm, movement detector, smart security alarm, kitchen monitor system, smart planners and calendars, drug time reminder, etc. Monitoring the daily activity of patients with dementia enable to controls the environment on behalf of the residents and predicts their future behaviour. It also enable to track their health situation (tele-health).
