Research and Knowledge Dissemination

Dr. B.T.G.S Kumara

Grant No & PI/Co-PI

Duration of the Grant Title of the project Source of support

Total allocation LKR

Status [Ongoing/ Completed]

Postgraduate degrees/No. of publications/ No. of communications
SUSL/RG/2017/01 2 Years Deployment of the Health Care Hospital Management System for Medical centre at SUSL University Grant 1,166,000.00 Ongoing   0

Mr. R.K.A.R. Kariapper

Grant No & PI/Co-PI

Duration of the Grant Title of the project Source of support

Total allocation LKR

Status [Ongoing/ Completed]

Postgraduate degrees/No. of publications/ No. of communications
UGC/VC/DRIC/PG/2014MR/SUSL/01 3 Years Model Based Bio-Kinematic Parameter Estimation Using Inertial Sensors University Grant Commission 3,000,000.00 Completed 9
HETC 2 Years Legal Ontology University Grant Commission 1,600,000.00 Completed 3

 

The Department undertakes different types of research and development projects in order to build up a research culture among the students.


At all levels to engage in research, an activity which the department values as a core activity and considers as contribution to the Information technology industry should study.


Undergraduate research is proposed to provide an opportunity for the student to get involved in scientific research. This experience is especially helpful if a student is interested in graduate study towards an MSc or PhD degree immediately after completing the undergraduate degree. Students have opportunities to work as Research Assistants after their graduation at well-known local or overseas research institutes or laboratories too.
 

Most of the Research areas

  • 3D Graphics and Virtual Reality.
  • Distributed Computing.
  • Distributed and Parallel Computing.
  • e-Learning.
  • Geographic Information System.
  • Information Systems Security.
  • Networking and Systems.
  • Wireless Networks and Sensor networks.
  • Bio Informatics.
  • Machine learning and data mining.

 

Ongoing research


DR. M. S. Karunarathne
The project is aimed to analyse Parkinson patients’ locomotion data to identify movement characteristics to determine Parkinson disease. Under this study, it is estimated to measure gaits from 93 patients with idiopathic PD (mean age: 66.3 years; 63% men), and 73 healthy controls (mean age: 66.3 years; 55% men)