I am a Research Associate in the School of
Computer Science and Engineering at the University of New South
Wales, Sydney, Australia.
1. Research Interests
My research interests lie in the Artificial Intelligence areas of data mining, recommender systems, multi-agent systems, and autonomous robotics.
1.1 Current Work
At present I am researching data mining and natural language processing of social media data (e.g., Twitter statuses, blog posts, news articles). Additionally I am working on a cross-faculty project which is developing tools for automated report highlighting and tagging using natural language processing and machine learning tools for use in social science research and conflict analysis.
1.2 Previous Work
Over the past few years of post-doctoral research I have been involved in:
- Construction of a bidirectional job recommender system using text-mining, collaborative filtering using Java and Oracle SQL (2014).
- Exploring big data relationships between different types of sensors in large scale wireless sensor networks for use in agricultural industries using R (2014).
- Administered the research lab's Baxter robot, ran demonstrations for visitors and developed documentation for new users to get started using the ROS Framework and Python (2015).
In 2013 I completed my PhD in distributed auction algorithms for task allocation in multi-robot and autonomous systems - you can download the final version of my thesis here.
2. Published Papers
- B. Heap, A. Krzywicki, S. Schmeidl, W. Wobcke and M. Bain.
A Joint Human/Machine Process for Coding Events and Conflict Drivers.
In Proceedings of the Thirteenth International Conference on Advanced Data Mining and Applications (ADMA) (in press) 2017.
- B. Heap, A. Krzywicki, W. Wobcke, M. Bain and P. Compton.
Combining Career Progression and Profile Matching in a Job Recommender System.
In Proceedings of the Thirteenth Pacific Rim International Conference on Artificial Intelligence (PRICAI-14), LNAI 8862, pp. 396-408, 2014.
- B. Heap and M. Pagnucco. Minimising Undesired Task Costs in Multi-robot Task Allocation Problems
with In-Schedule Dependencies. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial
Intelligence (AAAI-14), 2014.
- B. Heap and M. Pagnucco. Repeated Auctions for Reallocation of Tasks with
Pickup and Delivery Upon Robot Failure. In Proceedings of the 16th International
Conference on Principles and Practice of Multi-Agent Systems (PRIMA), LNCS 8291, pp. 461-469, 2013.
- B. Heap and M. Pagnucco. Repeated Sequential Single-Cluster Auctions with Dynamic Tasks
for Multi-Robot Task Allocation with Pickup and Delivery. In
Proceedings of the 11th German Conference on Multiagent System Technologies
(MATES), LNCS 8076, 2013.
- B. Heap and M. Pagnucco. Analysis of Cluster Formation Techniques for Multi-Robot Task
Allocation using Sequential Single-Cluster Auctions. In Proceedings of
the 25th Australasian Joint Conference on Artificial Intelligence (AI12),
LNCS 7691, 2012.
- B. Heap and M. Pagnucco. Repeated Sequential Auctions with Dynamic Task Clusters.
In Proceedings of the Twenty-Sixth AAAI Conference on Artificial
Intelligence (AAAI-12), 2012.
- B. Heap and M. Pagnucco. Sequential Single-Cluster Auctions for Robot Task
Allocation. In Proceedings of the 24th Australasian Joint
Conference on Artificial Intelligence (AI11), LNCS 7106, 2011.
Dr Bradford Heap, PhD
School of Computer Science & Engineering
University of New South Wales
Sydney, NSW 2052, Australia
Location: Rm 401D, K17 Building