Shamane Siriwardhana

Shamane is a Master’s Student at the University Of Auckland. Prior to this, he completed his bachelor's degree in Electrical and Electronic Engineering from the University Of Peradeniya, Sri Lanka in 2016. His primary interest is towards the application of Deep Learning, Deep Reinforcement Learning and Adversarial Learning Methods in designing more human-like Artificial Intelligent Agents.
He has a strong knowledge and two years of work experience in applying state of the art deep learning methods in Computer Vision and Natural Language Processing.

Shamane Loves Dogs and Playing The Guitar :)

Research Interest - Application of Deep Reinforcement Learning and Generative Adversarial Training methods to design Assistive AI Agents / Human-Computer Interaction

Projects

Publications

  • R. Boldu, A. Dancu, D. J. C. Matthies, T. Buddhika, S. Siriwardhana, and S. Nanayakkara, “FingerReader2.0: Designing and Evaluating a Wearable Finger-WornCamera to Assist People with Visual Impairments while Shopping,” in International Conference on Ubiquitous Computing, 2018.