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Udara Srimath S. Samaratunge Arachchillage

Work place: Faculty of Computing, Department of Software Engineering, Sri Lanka Institute of Information Technology (SLIIT), Malabe, Sri Lanka

E-mail: samaratunge@gmail.com

Website:

Research Interests: Computational Engineering, Human-Computer Interaction, Software Construction, Software Engineering, Natural Language Processing

Biography

Udara Srimath S. Samaratunge Arachchillage received the M.Sc. degree in Enterprise Application Development from Sheffield Hallam University (SHU) in Sheffield, UK and won the best performer award in 2014. He received his B.Sc. Special honour degree in field of Information Technology (IT) from Sri Lanka Institute of Information Technology (SLIIT) in Sri Lanka in 2010 and B.Sc. degree in IT from Curtin University of Technology, Bentley, Perth, Western Australia in 2009.  

He is a Researcher, Lecturer and Software Engineer and currently works as Research Engineer in Department of Software Engineering, Institute of Cybernetics, National Research Tomsk Polytechnic University, Russia and Lecturer in Faculty of Computing, Department of Software Engineering, Sri Lanka Institute of Information Technology (SLIIT) in Sri Lanka. His research interests are Semantic Web, Expert System, Knowledgebase construction, Natural Language Processing, Software Engineering, Human Computer Interaction, Wireless Communication.

He is a member of Computing Society of Sri Lanka (CSSL) and manuscript reviewer in IEEE.

Author Articles
Smart Virtual Expert System to Assist Psychiatrists (SVESTAP)

By Udara Srimath S. Samaratunge Arachchillage

DOI: https://doi.org/10.5815/ijitcs.2018.01.07, Pub. Date: 8 Jan. 2018

Psychological issues in the world are exponentially growing and the treatment gap is also comparatively high. The main reason would be the shortage of expertise and time-consuming in conventional diagnose process. The main objective of this research is to lower the mental issues treatment gap of professionals or apprentices in the field by creating a virtual expert system to assist psychiatrists. This system diagnoses most common mental disorders such as Depression Disorder, Anxiety Disorder, and Dementia. The proposed expert system can communicate with patients, to identify the current state of the illness. During the conversation, a standard questionnaire is given for the disease verification purpose. The experienced mental health professionals can use this expert system to assist in diagnosing process and the apprentices of the psychology can use this expert system as a training asset.

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