Profiles

David Herbert

Dr David Herbert

David Herbert

Lecturer
Information & Communication Technology

Room 454 , Centenary Building

TBA (phone)

David.Herbert@utas.edu.au

View more on Dr David Herbert in WARP

Fields of Research

Computing education (460804)
Knowledge representation and reasoning (460206)
Machine learning (461199)
Artificial life and complex adaptive systems (460201)
Distributed systems and algorithms (460605)
Data management and data science (460599)
Information security management (460904)
Health informatics and information systems (420308)
Human information interaction and retrieval (461003)
Intelligent robotics (460205)

Research Objectives

Information systems, technologies and services (220499)
Assessment, development and evaluation of curriculum (160301)
Artificial intelligence (220403)
Application software packages (220401)

Publications

Total publications

Journal Article

(4 outputs)

Year	Citation	Altmetrics
2021	Ryu R, Yeom S, Kim S-H, Herbert D, 'Continuous multimodal biometric authentication schemes: A systematic review', IEEE Access, 9 pp. 34541-34557. ISSN 2169-3536 (2021) [Refereed Article] DOI: 10.1109/ACCESS.2021.3061589 [eCite] [Details] Citations: Scopus - 14Web of Science - 6 Co-authors: Ryu R; Yeom S Tweet
2019	Yang W, Aghasian E, Garg K, Herbert D, Disiuta L, et al., 'A survey on blockchain-based internet service architecture: requirements, challenges, trends and future', IEEE Access, 7 pp. 75845-75872. ISSN 2169-3536 (2019) [Refereed Article] DOI: 10.1109/ACCESS.2019.2917562 [eCite] [Details] Citations: Scopus - 61Web of Science - 43 Co-authors: Yang W; Aghasian E; Garg K; Kang B Tweet
2019	Yang W, Herbert D, Kim S, Kang B, 'MCRDR knowledge-based 3D dialogue simulation in clinical training and assessment', Journal of Medical Systems, 43 Article 200. ISSN 0148-5598 (2019) [Refereed Article] DOI: 10.1007/s10916-019-1262-0 [eCite] [Details] Citations: Scopus - 2Web of Science - 1 Co-authors: Yang W; Kim S; Kang B Tweet
2018	Herbert D, Kang BH, 'Intelligent conversation system using multiple classification ripple down rules and conversational context', Expert Systems With Applications, 112 pp. 342-352. ISSN 0957-4174 (2018) [Refereed Article] DOI: 10.1016/j.eswa.2018.06.049 [eCite] [Details] Citations: Scopus - 19Web of Science - 12 Co-authors: Kang BH Tweet

Chapter in Book

(1 outputs)

Year	Citation	Altmetrics
2022	Ryu R, Yeom S, Herbert D, Dermoudy J, 'An adaptive biometric authentication system for online learning environments across multiple devices', Artificial Intelligence in Education, Springer, Cham, MM Rodrigo, N Matsuda, AI Cristea & V Dimitrova (ed), Durham, UK, pp. 375-378. ISBN 978-3-031-11646-9 (2022) [Research Book Chapter] DOI: 10.1007/978-3-031-11647-6_73 [eCite] [Details] Co-authors: Ryu R; Yeom S; Dermoudy J Tweet

Year

Citation

Altmetrics

2022

Ryu R, Yeom S, Herbert D, Dermoudy J, 'An adaptive biometric authentication system for online learning environments across multiple devices', Artificial Intelligence in Education, Springer, Cham, MM Rodrigo, N Matsuda, AI Cristea & V Dimitrova (ed), Durham, UK, pp. 375-378. ISBN 978-3-031-11646-9 (2022) [Research Book Chapter]

DOI: 10.1007/978-3-031-11647-6_73 [eCite] [Details]

Co-authors: Ryu R; Yeom S; Dermoudy J

Conference Publication

(6 outputs)

Year	Citation	Altmetrics
2022	Herbert N, Herbert D, Wapstra E, de Salas K, Acuna T, 'Integrating the development of professional skills throughout an ICT curriculum improves a graduate's competency', Proceedings of the 16th International Conference on Frontiers in Education, 27-30 July 2020, Virtual Conference, Online (Las Vegas, USA) ISSN 2569-7072 (In Press) [Refereed Conference Paper] [eCite] [Details] Co-authors: Herbert N; Wapstra E; de Salas K; Acuna T
2022	Herbert N, Wapstra E, Herbert D, de Salas K, Acuna T, 'Empirical analysis of strategies employed within an ICT curriculum to increase the quantity of graduates', Proceedings of the 16th International Conference on Frontiers in Education, 27-30 July 2020, Virtual Conference, Online (Las Vegas, USA) ISSN 2569-7072 (In Press) [Refereed Conference Paper] [eCite] [Details] Co-authors: Herbert N; Wapstra E; de Salas K; Acuna T
2020	Herbert N, Herbert D, 'Five principles to integrate professional skill development within a curriculum to ensure industry-ready graduates', Proceedings of the 2020 Australasian Conference on Information Systems, 1-4 December 2020, Victoria University of Wellington, New Zealand, pp. 1-12. (2020) [Refereed Conference Paper] [eCite] [Details] Co-authors: Herbert N Tweet
2019	Herbert D, Kang B, 'Comparative analysis of intelligent personal agent performance', Lecture Notes in Computer Science, 26-27 August 2019, Cuvu, Fiji, pp. 127-141. ISBN 9783030306380 (2019) [Refereed Conference Paper] DOI: 10.1007/978-3-030-30639-7_11 [eCite] [Details] Citations: Scopus - 2 Co-authors: Kang B Tweet
2018	Herbert N, Herbert D, 'Is the ATAR a Useful Predictor of Success in ICT? An Empirical Study', Proceedings of the 20th Australasian Computing Education Conference, 30 January - 2 February 2018, Brisbane, Queensland, pp. 35-44. ISBN 978-1-4503-6340-2 (2018) [Refereed Conference Paper] DOI: 10.1145/3160489.3160495 [eCite] [Details] Citations: Scopus - 2 Co-authors: Herbert N Tweet
2018	Yang W, Garg S, Raza A, Herbert D, Kang BH, 'Blockchain: trends and future', Proceedings of the 15th Pacific Rim Knowledge Acquisition Workshop (PKAW 2018): Knowledge Management and Acquisition for Intelligent Systems, 28-29 August 2018, Nanjing, China, pp. 201-210. ISSN 0302-9743 (2018) [Refereed Conference Paper] DOI: 10.1007/978-3-319-97289-3 [eCite] [Details] Co-authors: Yang W; Garg S; Raza A; Kang BH Tweet

Grants & Funding

Funding Summary

Number of grants

Total funding

$99,978

Projects

Seamless Integration of Knowledge Acquisition for Autonomous Systems by Domain Users with Prudence Capability (2016 - 2017)$99,978

Description: Knowledge-based systems are typically constrained by their ability to acquire new knowledge without the intercession of a technical knowledge engineer. This introduces a fundamental disconnect between the system and the domain expert - even if a knowledge acquisition interface is provided, the domain expert is usually highly constrained in their expressiveness and ability to train the system due to technology-specific implementation.Knowledge-based systems are also currently limited in their applicability to autonomous systems. The domain expert/knowledge acquisition bottleneck in this paradigm also poses a great challenge to effectively train an autonomous system with new or modified behaviours without considerable effort and implementation change. In the autonomous system-operating environment, there is no consistent model of abstraction (of services/behaviour, information and data) that can be leveraged across different systems and domains. To address these shortcomings, we will develop an extensive, easily maintainable hierarchical Knowledge Base System (KBS) for Autonomous Systems (AS) technologies (such as drones and humanoid robots) that will be trained by Knowledge Domain Experts (KDE) using a Natural Language (NL) interface for communication. The system will implement an abstracted architecture, taking a layer-based approach to separate data and hardware, information, and services, each with an associated, contextual knowledge base. We will introduce and develop a module (termed a Curator) that will facilitate the choice (or procurement via knowledge acquisition) of behavioural and information abstractions at each layer. This will allow the AS to infer correct behaviour given high-layer service directives, in effect allowing the KDE to train a behaviour quickly and effectively when the associated contextual knowledge base lacks the knowledge to fulfil an inter-layer request.
Funding: Asian Office of Aerospace Research & Development ($99,978)
Scheme: Grant
Administered By: University of Tasmania
Research Team: Kang BH; Han S; Herbert DP
Period: 2016 - 2017

Research Supervision

Current

Degree	Title	Commenced
PhD	AI and Learning Analytics	2021