ProfessorSvetha Venkatesh

Deakin Distinguished Professor and CoDirector, A2I2

Deakin Applied Artificial Intelligence Initiative/Applied Artificial Intelligence Initiative (Geelong)

  • Deakin Distinguished Professor and CoDirector, A2I2
    Deakin Applied Artificial Intelligence Initiative/Applied Artificial Intelligence Initiative (Geelong)
  • +61 3 522 72905 (Work)
  • Geelong Waurn Ponds Campus, 75 Pigdons Road, Waurn Ponds, Victoria 3216

TEACHING ACTIVITIES

  • CURRENT DOCTORAL SUPERVISION
    The Synergistic Relationship Between Causality and Reinforcement Learning
    Minh Hoang Nguyen - Applied Artificial Intelligence Initiative
  • CURRENT DOCTORAL SUPERVISION
    Efficient And Safe Large Language Models With Reinforcement Learning
    Van Dai Do - Applied Artificial Intelligence Initiative
  • CURRENT DOCTORAL SUPERVISION
    Multi-modal Time Series Forecasting using Large Language Models
    Huu Hiep Nguyen - Applied Artificial Intelligence Initiative
  • COMPLETED DOCTORAL SUPERVISION
    Exploiting side information in Bayesian nonparametric models and their applications
    Cheng Li - School of Information Technology - 2015
  • COMPLETED DOCTORAL SUPERVISION
    Bayesian nonparametric multilevel modelling and applications
    Tien Vu Nguyen - School of Information Technology - 2015
  • COMPLETED DOCTORAL SUPERVISION
    Structured representation learning from complex data
    Tu Nguyen - School of Information Technology - 2015
  • COMPLETED DOCTORAL SUPERVISION
    Bayesian nonparametric learning of contexts and activities from pervasive signals
    Cong Thuong Nguyen - School of Information Technology - 2015
  • COMPLETED DOCTORAL SUPERVISION
    Social Media as Sensor for Healthcare: A Machine Learning Approach
    Bo Dao - School of Information Technology - 2016
  • COMPLETED DOCTORAL SUPERVISION
    Making Sense of Pervasive Signals: a Machine Learning Approach
    Thanh Binh Nguyen - School of Information Technology - 2018
  • COMPLETED DOCTORAL SUPERVISION
    Building Stable Predictive Models for Healthcare Applications: A Data-Driven Approach
    Iman Kamkar - School of Information Technology - 2016
  • COMPLETED DOCTORAL SUPERVISION
    Applied Machine Learning for Personalised Early Intervention in Autism
    Pratibha Vellanki - School of Information Technology - 2016
  • COMPLETED DOCTORAL SUPERVISION
    Sparse representation for face images
    Xin Zhang - School of Information Technology - 2016
  • COMPLETED DOCTORAL SUPERVISION
    Knowledge Discovery and Probabilistic Models of Online Autism Spectrum Disorder Data
    Adham Beykikhoshk - School of Information Technology - 2016
  • COMPLETED DOCTORAL SUPERVISION
    Towards Scalable Bayesian Nonparametric Methods for Data Analytics
    Huu Viet Huynh - School of Information Technology - 2017
  • COMPLETED DOCTORAL SUPERVISION
    Machine Learning in Healthcare: An Investigation into Model Stability
    Shivapratap Gopakumar - School of Information Technology - 2017
  • COMPLETED DOCTORAL SUPERVISION
    Recurrent Neural Networks for Structured Data
    Trang Thi Minh Pham - School of Information Technology - 2019
  • COMPLETED DOCTORAL SUPERVISION
    Addressing Practical Challenges of Bayesian Optimization
    Thanh Dai Nguyen - School of Information Technology - 2019
  • COMPLETED DOCTORAL SUPERVISION
    Efficient Hyperparameter Tuning using Bayesian Optimization
    Tinu Theckel Joy - School of Information Technology - 2019
  • COMPLETED DOCTORAL SUPERVISION
    Representation Learning in Complex Data via Pattern Discovery
    Dang Pham Hai Nguyen - School of Information Technology - 2018
  • COMPLETED DOCTORAL SUPERVISION
    Machine learning to fight addiction using social media
    Haripriya Harikumar - School of Information Technology - 2018
  • COMPLETED DOCTORAL SUPERVISION
    Nonparametric Online Machine Learning with Kernels
    Khanh Nguyen - Applied Artificial Intelligence Initiative - 2019
  • COMPLETED DOCTORAL SUPERVISION
    Harnessing Auxiliary Knowledge Towards Efficient Bayesian Optimisation
    Anil Ramachandran - Applied Artificial Intelligence Initiative - 2020
  • COMPLETED DOCTORAL SUPERVISION
    Video Anomaly Detection using Deep Generative Models
    Thanh Hung VU - Applied Artificial Intelligence Initiative - 2019
  • COMPLETED DOCTORAL SUPERVISION
    Scalable Bayesian Optimization with Sparse Gaussian Process Models
    Ang Yang - Applied Artificial Intelligence Initiative - 2020
  • COMPLETED DOCTORAL SUPERVISION
    Novel Deep Architectures for Representation Learning
    Kien Do Duc - Applied Artificial Intelligence Initiative - 2020