Dr David Paul

Senior Lecturer in Computational Science - School of Science and Technology

David Paul

Phone: +61 2 6773 2447

Email: dpaul4@une.edu.au

Biography

Dr Paul is a computer scientist interested in: service-oriented computing; the Internet and distributed systems; security and privacy; and teaching and education. He has experience with nation-wide research projects such as the Australian Schizophrenia Research Bank, the QuON Web survey system, and the ASKBILL prediction system.

Education:
Dr Paul completed his PhD at the University on Newcastle, Australia, working on a service-oriented computing project that concentrated on improving cooperation between multiple different parties even when they are unaware they are working together. This resulted in a new model that allows both service providers and consumers to better determine the level of service they should offer or accept.

Experience:
From 2005 to 2015, Dr Paul was working as a member of the Australian Schizophrenia Research Bank. In this role, he designed, developed, and maintained a large nation-wide database and Web application linking clinical, neurological, and genetic information of both people with schizophrenia and linked controls, and providing mediated access to researchers.

In 2012, he also joined the University of Newcastle’s Health Behaviour Research Group. A lot of the research performed by this group requires the use of surveys and other online interventions, but existing survey systems did not meet all their needs. Along with other research, Dr Paul was part of a team that designed and built the QuON online survey system, which has been used in multiple institutions around Australia.

In 2015, Dr Paul joined the University of New England as part of the new interdisciplinary computational science team. Since starting at the University of New England, his research interests have broadened. For example, my work has involved helping the SheepCRC create the ASKBILL system, which notifies farmers of unusual risks to their sheep. This system combines livestock and pasture information with historic and forecast weather conditions to predict when sheep are at risk from heat or chill events, flystrike, or worm burden. This allows a farmer to more efficiently manage their farm, while also improving the welfare of the animals.

Research Overview:
While still interested in the areas of mental health and agriculture, Dr Paul also interested in expanding to other application areas. These include more traditional computer science areas such as optimisation and software defined networking, and external areas such as finance and sports science.

Teaching Overview:
Dr Paul’s main teaching areas are Introductory programming, Operating Systems, and Computer Networks and Information Security.

Qualifications

BMATH (UoN), BCompSc (Hons) (UoN), PhD (Computer Science) (UoN)

Teaching Areas

Computer Science, Software Engineering, Operating Systems, Networks and Distributed Computing

Primary Research Area/s

Networks and distributed systems

Research Interests

Networks and distributed systems (including Internet and Cloud computing), Security and Privacy, Computer science education

Publications

Selected publications include:

Shojaeipour, A., Falzon, G., Kwan, P., Hadavi, N., Cowley, F.C., Paul, D. "Automated Muzzle Detection and Biometric Identification via Few-Shot Deep Transfer Learning of Mixed Breed Cattle", Agronomy, 11(11), 2365, November 2021.

Alghamdi, A., Paul, D. and Sadgrove, E. "A RESTful Northbound Interface for Applications in Software Defined Networks", 17th International Conference on Web Information Systems and Technologies (WEBIST 2021), pp. 453-459, October 2021.

Cummins, C., Charlton, G., Paul, D., Shorter, K., Buxton, S., Caia, J., Murphy, A. "Women’s rugby league: Positional groups and peak locomotor demands ", Frontiers in Sports and Active Living, 3, 2021.

Ud Din, F., Paul, D., Ryan, J., Henskens, F., Wallis, M. "AOSR 2.0: A Novel Approach and Thorough Validation of Agent Oriented Storage and Retrieval WMS planner for SMEs, under Industry 4.0", Future Internet, 13(6), 155, June 2021.

HK, J., Jetley, R., Henskens, F., Paul, D., Wallis, M., SD, S. "Multi-Level Analysis of IEC 61131-3 Languages to Detect Clones", International Journal of Computer Applications in Technology, October 2020.

Abed-alguni, B., Paul, D. "Hybridizing The Cuckoo Search Algorithm with Different Mutation operators for Numerical Optimization Problems", Journal of Intelligent Systems, November 2018.

Ud Din, F., Henskens, F., Paul, D., Wallis, M. "Agent-Oriented Smart Factory (AOSF): An MAS Based Framework for SMEs Under Industry 4.0", In Agents and Multi-Agent Systems: Technologies and Applications 2018 Proceedings of the 12th International Conference on Agents and Multi-Agent Systems: Technologies and Applications (KES-AMSTA-18). 44-54. Springer, May 2018 (Awarded Best Paper at conference).

Agarwal, N., Kwan, P., and Paul, D. "Merger and Acquisition Pricing using Agent Based Modelling", Economics, Management, and Financial Markets, 13(1), pp. 84-99, January 2018.

Shaw, A., Paul, D., Billingsley, W., Kwan, P., and Wilson, R. "Gamification in e-Mental Health: Development of a Digital Intervention addressing Severe Mental Illness and Metabolic Syndrome", IADIS International Conference on Internet Technologies & Society (ITS 2017), Sydney, Australia, IADIS, pp. 83-90, December 2017.

Wallis, M., Henskens, F. A., Hannaford, M. and Paul, D. J. "Implementation and Evaluation of a Component-Based framework for Internet Applications", Information Technology in Industry, 5(1), pp. 16-23, March 2017.

Memberships

ACM