معرفی
Ganesh Krishnasamy is a Lecturer at the School of Information Technology, Monash University Malaysia. He holds a PhD in Electrical Engineering from the University of Malaya, with earlier degrees from Universiti Kebangsaan Malaysia (B.Eng and M.Eng in Electrical and Electronic Engineering). His research focuses on computer vision, pattern recognition, manifold learning, and semi-supervised learning, with applications in multimedia processing and understanding. He has led three research projects including 'AEinstein: Adversarial AI amongst Materials Discovery Domains' and pioneered semi-supervised action recognition in videos. His work aligns with UN Sustainable Development Goals related to innovation and infrastructure.
Research Interests:
- Computer Vision
- Pattern Recognition
- Manifold Learning
- Semi-Supervised Learning
- Optimization Algorithms
- HDR Image Reconstruction
Recent Projects:
- AEinstein Project (2024-2026): Focuses on adversarial AI in materials discovery.
- Research Management System (2023-2024): Aims to optimize research workflows.
- Semi-Supervised Image-to-Video Adaptation (2020-2023): Developed ActNetFormer and other hybrid models.
Publications: Over 16 outputs since 2014, with recent emphasis on HDR imaging, sports video analysis (badminton rally detection), and optimization techniques. His work bridges theoretical machine learning with commercial applications.
