School of Computer Science

Image of Tissa Chandesa

Tissa Chandesa

Assistant Professor,



Dr Tissa Chandesa holds a BSc (Hons) and Ph.D. in Computer Science from the University of Nottingham. He is a Senior Fellow of the Higher Education Academy, UK, the first at University of Nottingham Malaysia to be bestowed such recognition, a Malaysian Human Resources Development Fund (HRDF) Certified Trainer, a Lord Dearing Award recipient, and a Reviewer for the IEEE Transactions on Image Processing.

Upon completing his doctorate, Dr Chandesa spent 9 plus years (2012-2021) with the Graduate School, University of Nottingham Malaysia where he held the roles of Research Training Convenor, Research Training Development Manager, and Interim Dean of the Graduate School. During his time with the Graduate School, Dr Chandesa was responsible to provide co-ordination, support, supervision, management and/or mentoring to professional service members of staff, junior as well as senior academics and postgraduates in relation to research and teaching development.

Dr Chandesa's true passion is in the field of Computer Science. This was the motivation behind his decision to pursue an academic career with the School of Computer Science at the University of Nottingham Malaysia, where he currently is Professor (Assistant), Director of Marketing as well as Director of Student Experience.

Expertise Summary

Dr Chandesa research interest centres on computer vision, image processing and machine learning as well as the use of computing technologies to augment the teaching and learning experience in Higher Education.

Teaching Summary

Module convenor for the following modules:

  1. Computer Fundamentals
  2. Introduction to Image Processing
  3. Artificial Intelligence Methods

Research Summary

On-going projects:

  1. Investigate the implementation of Saliency Map and Convolutional Neural Network(s) to create tools that can improve the classification process for image analysis.

  2. Investigate and improve the architecture of a Convolutional Neural Network (CNN) to accommodate a limited sample size.

  3. Investigate the implications of incorporating computing technologies to augment the on-line teaching and learning experience of students in Higher Education.

Selected Publications

School of Computer Science

University of Nottingham
Jubilee Campus
Wollaton Road
Nottingham, NG8 1BB

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