STAFF PROFILE
Professor Fabio Zambetta
Dr Fabio Zambetta is an Associate Professor in the School of Science at RMIT University in Melbourne (Australia. He is the Discipline Leader (Deputy Head) of Computer Science and Software Engineering.
Dr Fabio Zambetta is an Associate Professor in the School of Science at RMIT University in Melbourne (Australia), where he is also the Discipline Leader (Deputy Head) of Computer Science and Software Engineering.
His research interests focus on AI and machine learning in computer games, Augmented/Virtual/Mixed Reality, robotics, and real-time simulation. He has published in several areas of computer science including in top AI, HCI and robotics conferences and journals e.g., IJCAI, AAAI, AAAMAS, CHI, ACM TOCHI, IEEE TOG, Journal of Neural Engineering.
He has been awarded funding from several funding bodies, including the ARC, and from a variety of industry partners, such as Rheinmetall Defence Australia, Microsoft, Village Roadshow, ANZ, and ACER (Australian Computer Education Research).
He has been the only academic to have ever been a Visiting Scholar at Microsoft Garage, during his research leave at Microsoft's headquarter in Redmond, in 2019. In 2019, he was also awarded a Cloud Software Research Fellowship from Microsoft Asia, for the project started at Microsoft Garage.
His teaching expertise includes advanced games programming, computer graphics, and mixed reality courses. He has been instrumental in setting up the core studio-based units in the Games & Graphics Programming as well as the Games Design degrees. As such, he has accumulated about 10 years of experience in delivering studio-based introductory classes in a multi-disciplinary environment.
More recently, he has been driving the renewal of fundamental programming units in Computer Science, Software Engineering and Games & Graphics Programming.
He is also one of the key staff behind the overhaul of teaching in Computer Science, via our novel Bootcamp2Studio model going live in 2021.
Finally, Dr Zambetta is still a keen programmer, working mainly in C#, Python, C++, and Java. He is abreast a variety of game technology (e.g., Unity, Unreal), machine learning libraries (Keras, Tensor Flow, CNTK, Gym, Unity ML, etc.), simulation platforms (AirSim, ROS, Gazebo) and development tools. His typical development setup is based on Visual Studio and/or Visual Studio Code on Windows, while running cross-platform code for Linux, as well, via WSL (Windows Subsystem for Linux).
- Discipline Leader (Deputy Head), Computer Science & Software Engineering
- Lead Investigator, DimSim (Deep Intelligence Simulator) project, funded by Rheinmetall Defence Australia.
- Course Coordinator, Programming Techniques course.
- Course Coordinator, Mixed Reality course.
- Supervising 7 PhD students in AI, machine learning, HCI, and games design.
- PhD in Artificial Intelligence, University of Bari (2001-2004)
- Masters of Computer Science (Applied Mathematics), University of Bari (1995-2001)
Positions held:
- Senior Lecturer, RMIT University (2008-)
- Lecturer, RMIT University (2005-2007)
- Guest Researcher, Fraunhofer IGD Darmstadt (2001)
Currently a member of ACM and IEEE.
A member of the IEEE Games Technical Committee and an Associate Editor for ACM Computers in Entertainment.
- Abbasnejad, I.,Zambetta, F.,Salim, F.,Wiley, T.,Chan, J.,Gallagher, R.,Abbasnejad, E. (2024). SCONE-GAN: Semantic Contrastive Learning-Based Generative Adversarial Network for an End-to-End Image Translation In: Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2023), Vancouver, British Columbia, Canada, 18/06/2023-22/06/2023
- Pretty, E.,Fayek, H.,Zambetta, F. (2023). In press - A Case for Personalized Non-Player Character Companion Design In: International Journal of Human-Computer Interaction, , 1 - 20
- Semertzidis, N.,Zambetta, F.,Mueller, F. (2023). Brain-Computer Integration: A Framework for the Design of Brain-Computer Interfaces from an Integrations Perspective In: ACM Transactions on Computer-Human Interaction, 30, 1 - 48
- Chester, A.,Dann, M.,Zambetta, F.,Thangarajah, J. (2022). Oracle-SAGE: Planning Ahead in Graph-Based Deep Reinforcement Learning In: Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2022, Grenoble, France, September 19–23, 2022, Proceedings, Part I, Grenoble, France, 19-23 September 2022
- Jaramillo Yanez, A.,Benalcázar, M.,Sardina, S.,Zambetta, F. (2022). Towards Discriminant Analysis Classifiers Using Online Active Learning via Myoelectric Interfaces In: Proceedings of the AAAI Conference on Artificial Intelligence, Vancouver, Canada, 22 February - 1 March 2022
- Abeysinghe, A.,FARD, M.,Nakhaie Jazar, R.,Zambetta, F.,Davy, J. (2021). Mel frequency cepstral coefficient temporal feature integration for classifying squeak and rattle noise In: The Journal of the Acoustical Society of America, 150, 193 - 201
- Fang, X.,Semertzidis, N.,Andres, J.,Zambetta, F., et al, . (2021). Telepathic Play: Towards Playful Experiences Based on Brain-to-brain Interfacing In: Proceedings of the Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 2021), Vienna, Austria, 18–21 October 2021
- Martins Guarese, R.,Bastidas, F.,Zambetta, F.,van Schyndel, R., et al, . (2021). Cooking in the Dark: Exploring Spatial Audio as MR Assistive Technology for the Visually Impaired In: Proceedings of the 18th IFIP TC 13 International Conference on Human-Computer Interaction (INTERACT 2021), Bari, Italy, 30 August - 3 September 2021
- Zambetta, F.,Raffe, W.,Tamassia, M.,Mueller, F.,Li, X.,Quinten, N.,Dang, D.,Satterley, J. (2020). Reducing Perceived Waiting Time in Theme Park Queues via an Augmented Reality Game In: ACM Transactions on Computer-Human Interaction, 27, 1 - 30
- Semertzidis, N.,Scary, M.,Andres, J.,Dwivedi, B.,Kulwe, Y.,Zambetta, F.,Mueller, F. (2020). Neo-Noumena: Augmenting Emotion Communication In: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI 2020), Honolulu, Hawaii, United States, 25-30 April 2020
- CSIRO Data 61 Next Generation Emerging Technologies Graduate Program - Emerging Technologies for the Integration of Autonomous Vehicles into Networked Naval Operations 145-NGETR-R3 [Program Funding Agreement]. Funded by: CSIRO - Next Generation Graduates Programs from (2024 to 2029)
- CSIRO Data 61 - Applied AI and Digital Innovation for Defence and Aerospace Applications. Funded by: CSIRO - Next Generation Graduates Programs from (2023 to 2027)
- Play It Again: Preserving Australian videogame history of the 1990s. (Led by Swinburne Uni). Funded by: ARC Linkage Project Grants 2018 from (2020 to 2025)
- Cloud Research Software Fellowship (Microsoft Asia). Funded by: Microsoft Corporation - Contract from (2019 to 2019)
- Summer School on Experimental Play. Funded by: ACM Special Interest Group on Computer Human Interaction from (2018 to 2018)
13 PhD Current Supervisions and 1 Masters by Research Current Supervisions8 PhD Completions and 1 Masters by Research Completions