Projects per year
Personal profile
Biography
Ganesh Krishnasamy joined the School of Information Technology, Monash University Malaysia as a Lecturer in July 2019. He received the B.Eng. and M.Eng. degrees in electrical and electronic engineering from Universiti Kebangsaan Malaysia in 2004 and 2007. After working in the manufacturing industry for more than 4 years, he continued his doctoral studies at the University of Malaya where he completed his PhD degree in Electrical Engineering. After obtaining his PhD, he worked at Sime Darby Plantation as a data scientist for about a year. His current research interests include the field of computer vision, machine learning and optimization.
Research interests
His research interests include computer vision, pattern recognition, manifold learning, semi-supervised learning and sparse optimization with commercial applications in multimedia processing and understanding.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Computer vision
- Pattern Recognition
- Optimisation
Collaborations and top research areas from the last five years
-
Æinstein: Adversarial AI amongst Materials Discovery Domains
Phan, R. (Primary Chief Investigator (PCI)), Pal, A. (Chief Investigator (CI)), Rajanala, S. (Chief Investigator (CI)), Ting, C.-M. (Chief Investigator (CI)), Krishnasamy, G. (Chief Investigator (CI)), Noman, F. (Chief Investigator (CI)), Shu Min, L. (Chief Investigator (CI)), Liu, J. (Chief Investigator (CI)), Rudolph, C. (Chief Investigator (CI)), Steinfeld, R. (Chief Investigator (CI)), Siang Piao, C. (Chief Investigator (CI)), Tumian, A. (Partner Investigator (PI)) & Nik Hashim, N. N. W. (Partner Investigator (PI))
1/06/24 → 31/05/26
Project: Research
-
Management for Planning, Allocation, Collaboration, and Tracking of Work
Krishnasamy, G. (Primary Chief Investigator (PCI)) & LIM, K. (Partner Investigator (PI))
1/08/23 → 8/03/24
Project: Research
-
A Novel Semi-supervised Image-to-Video Adaption for Action Recognition in Videos.
Krishnasamy, G. (Primary Chief Investigator (PCI)), Paramesran, R. (Chief Investigator (CI)), Phan, R. (Chief Investigator (CI)) & Monn, V. (Chief Investigator (CI))
1/11/20 → 31/10/23
Project: Research
-
A Comparative Analysis of Deep Learning Models and Gradient Computation for Rally Detection in Badminton Videos
See, S. Y., Paramesran, R., Hassan, M. F. & Krishnasamy, G., 5 May 2025, In: SN Computer Science. 6, 5, 13 p., 447.Research output: Contribution to journal › Article › Research › peer-review
1 Citation (Scopus) -
ActNetFormer: Transformer-ResNet Hybrid Method for Semi-supervised Action Recognition in Videos
Dass, S. D. S., Barua, H. B., Krishnasamy, G., Paramesran, R. & Phan, R. C. W., 2025, Pattern Recognition - 27th International Conference, ICPR 2024 Kolkata, India, December 1–5, 2024 Proceedings, Part XV. Antonacopoulos, A., Chaudhuri, S., Chellappa, R., Liu, C.-L., Bhattacharya, S. & Pal, U. (eds.). Cham Switzerland: Springer, p. 343-359 17 p. (Lecture Notes in Computer Science ; vol. 15315).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
1 Citation (Scopus) -
GTA-HDR: A Large-Scale Synthetic Dataset for HDR Image Reconstruction
Barua, H. B., Stefanov, K., Wong, K. S., Dhall, A. & Krishnasamy, G., 2025, Proceedings, 2025 Winter Conference on Applications of Computer Vision, WACV 2025. Qiu, Q. & Setlur, S. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 7876-7886 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
-
Hessian unsupervised extreme learning machine
Dass, S. D. S., Krishnasamy, G., Paramesran, R. & C.-W. Phan, R., May 2024, In: International Journal of Machine Learning and Cybernetics. 15, p. 2013–2022 10 p.Research output: Contribution to journal › Article › Research › peer-review
3 Citations (Scopus) -
Histohdr-Net: Histogram Equalization for Single LDR to HDR Image Translation
Barua, H. B., Krishnasamy, G., Wong, K., Dhall, A. & Stefanov, K., 2024, 2024 IEEE International Conference on Image Processing (ICIP) - Proceedings. Werghi, N. & Dugelay, J.-L. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2730-2736 7 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review