Home - Suneth Fernando

Suneth Fernando

Associate Lecturer

Department

College Academics

Qualifications

BSc, MSc

Suneth Fernando is a University Lecturer in the Department of computing & AI. Prior to joining Regent College London, Suneth worked as a visiting lecturer at the University of Greenwich where he taught computer science related modules. Apart from his duties in Regent College, he works in two other universities (University of Wales Trinity Saint David and Kingston University)

Suneth obtained a MSc Degree from University of Sunderland (2010), and BSc (Hons) in Computer Science from British Computer Society, (2008).

He has over a decade’s experience in IT and software engineering and has worked in various roles in industry as well as academia. He teaches modules related to BSc (Hons) Computing & BEng (Hons) Software Engineering.

As a Member of British Computer Society and Australian Computer Society, He works together to address issues in his profession and in wider society. He shares what he knows and uphold standards and conduct himself professionally and fairly at all times. He works with due care and diligence, acting in student’s best interests at all times. He takes personal and collective responsibility for his actions while maintaining discretion and ethical standards.

Courses taught

The modules taught – Database Engineering, Development Frameworks & Methods, IS Planning, User Interface Design, Programming Framework, information requirement analysis, E-Commerce, Web Application development, IT Project and Quality Management, Software Development, Information Systems, Computer Network Technology, Database Systems/Advance Database Management systems, Professional Issues, System Analysis & Design, IT Service Management, Object Oriented Programming, Management Information Systems, Computer Service Management, Software Engineering, System Design Methods, Programming Paradigms, Cloud Computing and served as a project supervisor of computing research projects.

Research interests and publications

  • Information system Adoption
  • Cloud Computing technologies
  • Big data and analytics
  • Machine Learning
  • Internet of Things

Department

College Academics

Qualifications

BSc, MSc