Tissa Chandesa

Contact

• workRoom BB71 Block B
  Malaysia Campus
  Jalan Broga
  43500 Semenyih
  Selangor Darul Ehsan
  Malaysia
• work+6 (03) 8924 8632
• Tissa.Chandesa@nottingham.edu.my

Biography

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

• TIONG, T JOYCE, CHANDESA, TISSA and YAP, YEOW HONG, 2017. Comparison of sonochemiluminescence images using image analysis techniques and identification of acoustic pressure fields via simulation Ultrasonics Sonochemistry. 36, 78-87
• CHANDESA, T, 2013. Visual Tracking: Detecting and Mapping Occlusion and Camouflage using Process-Behaviour Charts
• CHANDESA, T and HARTLEY, M, 2010. Automated Sketcher using Edge Detection Techniques International Journals of Computers And Applications. 32(4), 404-411
• CHANDESA, T, PRIDMORE, T and BARGIELA, A, 2009. Using Process-Behaviour charts to detect Occlusion and Camouflage in Visual Tracking In: Research for a Better Tomorrow: Impact in the 21st Century Conference.

• View all publications

• LIM, WEI XIANG, CHEN, ZHIYUAN, AHMED, AMR, CHANDESA, TISSA and LIAO, IMAN, 2019. A review of machine learning techniques for applied eye fundus and tongue digital image processing with diabetes management system In: The International Conference on Digital Image and Signal Processing (DISP 2019).
• TIONG, T JOYCE, CHANDESA, TISSA and YAP, YEOW HONG, 2017. Comparison of sonochemiluminescence images using image analysis techniques and identification of acoustic pressure fields via simulation Ultrasonics Sonochemistry. 36, 78-87
• CHANDESA, T, 2013. Visual Tracking: Detecting and Mapping Occlusion and Camouflage using Process-Behaviour Charts
• CHANDESA, T and HARTLEY, M, 2010. Automated Sketcher using Edge Detection Techniques International Journals of Computers And Applications. 32(4), 404-411
• CHANDESA, T, PRIDMORE, T and BARGIELA, A, 2009. Using Process-Behaviour charts to detect Occlusion and Camouflage in Visual Tracking In: Research for a Better Tomorrow: Impact in the 21st Century Conference.
• CHANDESA, T, PRIDMORE, T and BARGIELA, A, 2009. Detecting occlusion and camouflage during visual tracking In: IEEE International Conference on Signal and Image Processing Applications (ICSIPA '09). 468-473