Associate Professor Bao Quoc Vo
- School of Software and Electrical Engineering
- Department of Computer Science and Software Engineering
- EN511e Hawthorn campus
Bao Quoc Vo is an Associate Professor in the Faculty of Science, Engineering and Technology at Swinburne and a researcher in the faculty’s Centre for Computing and Engineering Software Systems (SUCCESS).
The majority of Dr Vo’s research has centred on the two large and related areas of artificial intelligence (AI) and multi-agent systems. His current research interests include autonomous agent and multiagent systems, automated negotiation, argumentation framework, AI planning under uncertainty, market-based mechanisms and auctions.
Alongside these research areas, Dr Vo has also undertaken research in the application areas of services computing and cloud computing, traffic/transport management and optimisation, energy management, and requirements engineering. He has been the recipient of numerous ARC Discovery and Linkage Grants and contributed to industry-based projects with organisations such as Suncorp Group, Zimbani and Defence Science and Technology Group.
Agent-Based Systems; Cloud Computing; Intelligent Transport Systems; Smart Grids and Microgrids; Software Engineering
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Principal Supervisor.
Available to supervise honours students.
Fields of Research
- Artificial Intelligence - 460200
Agent-Based Systems;Software Engineering
- 2005, National, RMIT Vice-Chancellor's Research Excellence Award, RMIT University, Australia
Also published as: Vo, Bao; Vo, B.; Vo, Bao Quoc; Vo, Bao Q.; Vo, Quoc Bao
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.
Recent research grants awarded
- 2023: SpaceCraft Autonomy and Onboard AI for Next Generation Space Systems (SCARLET-alpha) *; SmartSat CRC Fund Scheme
- 2021: Autonomic Cyber Resilience and Antifragility *; DATA61
- 2021: Donald and Tarnagulla Microgrid Feasibility Study- Stakeholder Impact Investigation *; C4NET Fund Scheme
- 2019: Autonomic Computing for Resilient Cyber Operations in Contested Environments *; DATA61
- 2019: Resource deployment and optimisation in disaster management *; DATA61
- 2019: Towards Self-Managing Systems Through Decentralised Constraint Optimisation (Student) *; DATA61
- 2018: Bus replacement services for rail passenger service disruptions *; iMOVECRC
- 2016: Consumer-centric adaptive quality-assured cloud services brokerage *; ARC Linkage Projects Scheme
- 2015: Melbourne-Sarawak Collaboration Scheme Stream 2 - Prof Ryszard Kowalczyk *; Melbourne-Sarawak Research Collaboration Scheme
- 2015: Toward custom need data in Smart Exchanges: Smart Cloud Broker Analytics *; Suncorp Insurance Services Pty Ltd - contract
- 2012: Smart Cloud Broker Foundry Project *; Smart Services CRC
- 2012: Vacation Scholarship: Multi-cloud Resource Selection & Benchmarking Engine-User Management System *; Smart Services CRC
- 2012: Victorian International Research Scholarship: Resolving conflicts in Requirements Engineering with Argumentation frameworks *; Victorian International Research Scholarship Program
- 2010: Services Aggregation (Student Agreement) *; Smart Services CRC: Service Aggregation
- 2009: Policy based management of agreements in service aggregations *; Smart Services CRC: Service Aggregation
* Chief Investigator
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