Profiles

James Montgomery

Dr James Montgomery

James Montgomery

Senior Lecturer in ICT
Information and Communication Technology
Information and Communication Technology

Room 466 , Centenary

+61 3 6226 7294 (phone)

+61 3 6324 3368 (fax)

James.Montgomery@utas.edu.au

Dr Montgomery is a senior lecturer in the School of Information & Communication Technology, based at the Sandy Bay campus. His primary research interest is in heuristic optimisation, including evolutionary computation. He also works in ecoacoustics, the use of sound to observe the environment, and is running a citizen science project named Birdsong where members of public can identify birds from their calls.

Biography

James joined the University of Tasmania as Lecturer in ICT in January 2014. Prior to this he was a research fellow at Australian National University (ANU) (based at National ICT Australia's (NICTA) [now Data61's] Canberra Research Laboratory), designing and implementing a general purpose web API for delivering machine learning services; a postdoctoral researcher at Swinburne University of Technology, working on external projects in data analysis and his own research in evolutionary computation; and a student and sessional lecturer at Bond University.

Career summary

Qualifications

Degree	Thesis title	University	Country	Awarded
GradCertHE		Australian National University	Australia	19/07/2013
PhD	Solution Biases and Pheromone Representation Selection in Ant Colony Optimisation	Bond University	Australia	1/10/2005
BInfTech(Hons)	The Development of a Genetic Algorithm for the Design of a Telecommunications Network	Bond University	Australia	5/02/2000

Memberships

Professional practice

Member of the Institute of Electrical and Electronics Engineers (IEEE)
Member of the IEEE Computational Intelligence Society
Fellow of the Higher Education Academy

Administrative expertise

Elected member of Academic Senate from the College of Sciences and Engineering since 2018 and member of the University Learning and Teaching Committee 2019–2020. Unit coordinator for units with 200+ students and 4-5 tutors across two campuses, Brightspace (formerly D2L) expert, Hobart site coordinator for ACM International Collegiate Programming Contest. Recruitment and outreach lead for ICT. Previously Deputy course coordinator for BICT and contributor to ACS Accreditation submission.

Teaching

Introductory programming, programming paradigms, object-oriented programming, functional programming, Java, C#, Python, Javascript, Haskell, algorithms and data structures, software modelling and design, database-driven application development, object-relational mapping, web services, mobile applications.

Teaching expertise

James has taught across a wide range of ICT subject areas, including beginner through to expert programming, software modelling and design, database development, web services and mobile applications. He developed the applications component of a discrete mathematics unit (KIT103), incorporating a full series of lectures, practical classes and assignments in Python, as well as the new, predominantly online software design units KIT206 and KIT506, which incorporate software design, implementation of a database-driven application in C#, and software testing. In 2017 he redeveloped KIT101 Programming Fundamentals to be competency- and portfolio-based to improve student learning outcomes and success rates.

He uses web technologies to create learning materials that are easy to navigate and offer some degree of interactivity, such as embedded solutions to tutorial tasks.

James was awarded University Teaching Merit Certificates for his work in 2014, 2015 and 2016, nominated by students across a number of his units (no more than three certificates may be awarded). In 2018 he received a Citation for Outstanding Contributions to Student Learning for 'the development of effective, evidence-based curricula and resources that reflect a command of the field of teaching introductory computer programming.'

Teaching responsibility

In 2020 James is unit coordinator and lecturer for Programming Fundamentals (KIT101) (semesters 1 and 2) and unit coordinator and co-lecturer for Computational Science (KIT103) in semester 2, which is co-taught with Discrete Mathematics 1 (KMA155).

James teaches into both the:

In addition to KIT101 and KIT103, during 2014–2016 he was also involved in teaching:

Software Design & Development (KIT206) (unit-coordinator and lecturer)
Mobile Applications Development (KIT305) (support lecturer and tutor)
Software Application Design and Implementation (KIT506) (unit-coordinator and lecturer)
Research Methods (KIT401) (statistics practicals)

View more on Dr James Montgomery in WARP

Expertise

Optimisation and evolutionary computation
Ecoacoustics
Web services
Machine learning and predictive APIs (BigML, Microsoft's Azure ML, Amazon ML)

Research Themes

James's research aligns with the University's research theme of Data, Knowledge and Decisions. His research interests include the analysis of heuristic optimisation techniques applied to different problems so that each technique can be applied more effectively. He is particularly interested in the way that solution representation can influence how difficult a problem is to solve. James also applies these techniques to interesting and challenging problems, such as the automated design of RFID antennas and, separately, the optimisation of water usage to meet environmental health and crop yield objectives.

He also works in the field of ecoacoustics, collaborating with colleagues from the Maths and Biological Sciences disciplines and organisations including NRM South, Tasmanian Land Conservancy, Sustainable Timber Tasmania and VicForests. This collaboration has led to the creation of the Birdsong citizen science web app, where members of the public can learn to identify a variety of bird species from their calls and then identify birds and other sounds in audio recordings collected in Tasmanian and Victorian forests.

From his work at ANU he maintains an interest in the provision of machine learning services over the web. He developed a RESTful web API for delivering a variety of such services, a demonstration service and client. The sources for these demonstration implementations are available on GitHub.

Collaboration

James also has active collaborations in a variety of optimisation projects with researchers in Australia (at Bond University, Griffith University, and Swinburne University of Technology) and in Canada, where he collaborates with Associate Professor Stephen Chen of York University in Toronto and Professor Daniel Ashlock from Guelph University. While at Swinburne University of Technology in 2006–2011 James worked with a number of research partners including GKN Aerospace Australia and the Attorney General's Department D Branch. During his postdoctoral appointment at the ANU he worked on a Linkage Project with Canon Information Systems Research Australia, where he developed a general-purpose machine learning web API that can be implemented by anyone, from a single machine learning enthusiast to a large machine learning service provider.

Awards

Won best paper in the Special Session on Computing Education of the 2013 IEEE International Conference of Teaching, Assessment and Learning for Engineering for Agile Development Spikes Applied to Computer Science Education
Nominated for best paper in the workshops track of the 2014 International Conference on Computational Science for Extending the Front: Designing RFID Antennas Using Multiobjective Differential Evolution with Biased Population Selection

Current projects

James is currently working with NRM South, Tasmanian Land Conservancy, Sustainable Timber Tasmania, VicForests and colleagues from the Maths and Biological Sciences disciplines to improve techniques and technologies for the analysis of ecoacoustic data captured in forests and other sensitive environmental areas. The project's focus is on the identification of bird species from their calls, as the presence and distribution of species is a key indicator of environmental health and change. One component of the project is the citizen science website named Birdsong, where members of the public can learn to identify a variety of bird species from their calls and then identify birds and other sounds in audio recordings collected in Tasmanian and Victorian forests. Another part of the project concerns the efficient processing of the growing body of ecoacoustic data. One of James's PhD students has developed software for the efficient preprocessing of bioacoustics data to remove background noise and other intrusive sounds like cicada choruses.

James has an ongoing interest in the automated design of RFID antennas, in which he collaborates with researchers from Bond and Griffith Universities in Queensland. This is a challenging multiobjective problem in which the design space is very large but the quality of each design takes some time to be evaluated through simulation. With those same external partners James has just begun a new project in the area of crop planning and water distribution networks. This work is in the early stages and they are looking for industry partners to work with. Together with other University of Tasmania researchers, James is also examining topics in the education analytics space, such as how credit may be automatically given for prior study (the process is currently manual and labour intensive), and how to identify gaps in students' knowledge that can be used to suggest remedial learning activities.

Fields of Research

Neural networks (461104)
Distributed systems and algorithms (460605)
Pattern recognition (460308)
Evolutionary computation (460203)
Human information interaction and retrieval (461003)
Natural language processing (460208)
Cybersecurity and privacy (460499)
Software testing, verification and validation (461208)
Intelligent robotics (460205)
Modelling and simulation (460207)
Conservation and biodiversity (410401)
Forestry management and environment (300707)
Service oriented computing (460612)
Cloud computing (460601)
Photogrammetry and remote sensing (401304)
Information systems (460999)
Learning analytics (390408)
Theoretical and applied mechanics (490109)
Science, technology and engineering curriculum and pedagogy (390113)
Environmental assessment and monitoring (410402)
Ecological impacts of climate change and ecological adaptation (410102)
Health informatics and information systems (420308)
Health care administration (420306)
Knowledge representation and reasoning (460206)
Cyberphysical systems and internet of things (460603)
Computer vision (460304)
Decision support and group support systems (460902)
Public health (420699)
Forestry product quality assessment (300708)
Wood fibre processing (300711)
Pollution and contamination (410599)
Oenology and viticulture (300805)
Health services and systems (420399)
Networking and communications (460609)
Education systems (390399)
Astronomical instrumentation (510102)
Terrestrial ecology (310308)
Crop and pasture production (300499)
Agricultural land management (300202)
Sustainable agricultural development (300210)

Research Objectives

Expanding knowledge in the information and computing sciences (280115)
Information systems, technologies and services (220499)
Terrestrial biodiversity (180606)
Native forests (260204)
Application software packages (220401)
Computer systems (220404)
Horticultural crops (260599)
Information services (220399)
Teaching and instruction technologies (160304)
Effects of climate change on Australia (excl. social impacts) (190504)
Evaluation, allocation, and impacts of land use (180603)
Higher education (160102)
Wine grapes (260608)
Hardwood plantations (260201)
Terrestrial systems and management (180699)
Softwood plantations (260205)
Artificial intelligence (220403)
Space transport (270106)
Mental health (200409)
Ecosystem adaptation to climate change (190102)
Health policy evaluation (200205)
Road passenger movements (excl. public transport) (270309)
Assessment and management of terrestrial ecosystems (180601)
Evaluation of health and support services (200299)
Public health (excl. specific population health) (200499)
Environmentally sustainable information and communication services (220299)
Rehabilitation or conservation of terrestrial environments (180604)
Management of water consumption by plant production (260104)
Assessment and management of freshwater ecosystems (180301)
Other education and training (169999)
Inpatient hospital care (200304)
Water policy (incl. water allocation) (190211)

Publications

James has published in a variety of forums, largely in the area of optimisation with heuristics and evolutionary computation. He reviews for a large number of journals and conferences in the field including the journals IEEE Transactions on Evolutionary Computation, IEEE Access, Information Sciences, Applied Soft Computing and leading conferences such as the IEEE Congress on Evolutionary Computation and the International Conference on Computational Science.

Total publications

Highlighted publications

(5 outputs)

Year	Type	Citation
2018	Journal Article	Brown A, Garg S, Montgomery J, 'Scalable preprocessing of high volume environmental acoustic data for bioacoustic monitoring', PLoS One, 13, (8) Article e0201542. ISSN 1932-6203 (2018) [Refereed Article] DOI: 10.1371/journal.pone.0201542 [eCite] [Details] Citations: Scopus - 3Web of Science - 3 Co-authors: Brown A; Garg S Tweet
2018	Journal Article	Le DV, Montgomery J, Kirkby KC, Scanlan J, 'Risk prediction using natural language processing of electronic mental health records in an Inpatient forensic psychiatry setting', Journal of Biomedical Informatics, 86 pp. 49-58. ISSN 1532-0464 (2018) [Refereed Article] DOI: 10.1016/j.jbi.2018.08.007 [eCite] [Details] Citations: Scopus - 30Web of Science - 24 Co-authors: Le DV; Kirkby KC; Scanlan J Tweet
2017	Journal Article	Aghasian E, Garg S, Gao L, Yu S, Montgomery J, 'Scoring users' privacy disclosure across multiple online social networks', IEEE Access, 5 pp. 13118-13130. ISSN 2169-3536 (2017) [Refereed Article] DOI: 10.1109/ACCESS.2017.2720187 [eCite] [Details] Citations: Scopus - 51Web of Science - 34 Co-authors: Aghasian E; Garg S Tweet
2015	Journal Article	Chen S, Montgomery J, Bolufe-Rohler A, 'Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution', Applied Intelligence, 42, (3) pp. 514-526. ISSN 0924-669X (2015) [Refereed Article] DOI: 10.1007/s10489-014-0613-2 [eCite] [Details] Citations: Scopus - 111Web of Science - 95 Tweet
2008	Journal Article	Montgomery J, Randall M, Hendtlass T, 'Solution bias in ant colony optimisation: lessons for selecting pheromone models', Computers and Operations Research, 35, (9) pp. 2728-2749. ISSN 0305-0548 (2008) [Refereed Article] DOI: 10.1016/j.cor.2006.12.014 [eCite] [Details] Citations: Scopus - 21Web of Science - 10 Tweet

Journal Article

(27 outputs)

Year	Citation	Altmetrics
2023	Lewis A, Montgomery J, Lewis M, Randall M, Schiller K, 'Business as usual versus climate-responsive, optimised crop plans - A predictive model for irrigated agriculture in Australia in 2060', Water Resources Management pp. 1-15. ISSN 1573-1650 (2023) [Refereed Article] DOI: 10.1007/s11269-023-03472-6 [eCite] [Details] Tweet
2022	Brown A, Garg S, Montgomery J, K C U, 'Resource scheduling and provisioning for processing of dynamic stream workflows under latency constraints', Future Generation Computer Systems, 131 pp. 166-182. ISSN 0167-739X (2022) [Refereed Article] DOI: 10.1016/j.future.2022.01.020 [eCite] [Details] Citations: Scopus - 1 Co-authors: Brown A; Garg S; K C U Tweet
2022	Krisanski S, Taskhiri MS, Montgomery J, Turner P, 'Design and testing of a novel unoccupied aircraft system for the collection of forest canopy samples', Forests, 13, (2) Article 53. ISSN 1999-4907 (2022) [Refereed Article] DOI: 10.3390/f13020153 [eCite] [Details] Citations: Web of Science - 4 Co-authors: Krisanski S; Taskhiri MS; Turner P Tweet
2022	Le DV, Kirkby K, Montgomery J, Scanlan J, 'Adding an inception network to neural network open information extraction', IEEE Intelligent Systems, 37, (3) pp. 85-97. ISSN 1541-1672 (2022) [Refereed Article] DOI: 10.1109/MIS.2022.3168265 [eCite] [Details] Co-authors: Le DV; Kirkby K; Scanlan J Tweet
2022	Li C, Herbert N, Yeom S, Montgomery J, 'Retention factors in STEM education identified using learning analytics: a systematic review', Education Sciences, 12, (11) Article 781. ISSN 2227-7102 (2022) [Refereed Article] DOI: 10.3390/educsci12110781 [eCite] [Details] Co-authors: Li C; Herbert N; Yeom S Tweet
2022	Randall M, Montgomery J, Lewis A, 'Robust temporal optimisation for a crop planning problem under climate change uncertainty', Operations Research Perspectives, 9 Article 100219. ISSN 2214-7160 (2022) [Refereed Article] DOI: 10.1016/j.orp.2021.100219 [eCite] [Details] Citations: Scopus - 2 Tweet
2021	Battula SK, O'Reilly MM, Garg S, Montgomery J, 'A generic stochastic model for resource availability in fog computing environments', IEEE Transactions on Parallel and Distributed Systems, 32, (4) pp. 960-974. ISSN 1045-9219 (2021) [Refereed Article] DOI: 10.1109/TPDS.2020.3037247 [eCite] [Details] Citations: Scopus - 7Web of Science - 7 Co-authors: Battula SK; O'Reilly MM; Garg S Tweet
2021	Brown A, Montgomery J, Garg S, 'Automatic construction of accurate bioacoustics workflows under time constraints using a surrogate model', Applied Soft Computing, 113 Article 107944. ISSN 1568-4946 (2021) [Refereed Article] DOI: 10.1016/j.asoc.2021.107944 [eCite] [Details] Citations: Scopus - 2Web of Science - 2 Co-authors: Brown A; Garg S Tweet
2021	Krisanski S, Taskhiri MS, Gonzalez Aracil S, Herries D, Muneri A, et al., 'Forest structural complexity tool - an open source, fully-automated tool for measuring forest point clouds', Remote Sensing, 13, (22) Article 4677. ISSN 2072-4292 (2021) [Refereed Article] DOI: 10.3390/rs13224677 [eCite] [Details] Citations: Scopus - 7Web of Science - 7 Co-authors: Krisanski S; Taskhiri MS; Turner P Tweet
2020	Aghasian E, Garg S, Montgomery J, 'An automated model to score the privacy of unstructured information - social media case', Computers and Security, 92 Article 101778. ISSN 0167-4048 (2020) [Refereed Article] DOI: 10.1016/j.cose.2020.101778 [eCite] [Details] Citations: Scopus - 9Web of Science - 8 Co-authors: Aghasian E; Garg S Tweet
2020	Battula S, Garg S, Montgomery J, Kang B, 'An efficient resource monitoring service for fog computing environments', IEEE Transactions on Services Computing, 13, (4) pp. 709-722. ISSN 1939-1374 (2020) [Refereed Article] DOI: 10.1109/TSC.2019.2962682 [eCite] [Details] Citations: Scopus - 21Web of Science - 19 Co-authors: Battula S; Garg S; Kang B Tweet
2020	Brown AS, Garg S, Montgomery J, 'AcoustiCloud: A cloud-based system for managing large-scale bioacoustics processing', Environmental Modelling and Software, 131 Article 104778. ISSN 1364-8152 (2020) [Refereed Article] DOI: 10.1016/j.envsoft.2020.104778 [eCite] [Details] Citations: Scopus - 2Web of Science - 2 Co-authors: Brown AS; Garg S Tweet
2020	KVSN RR, Montgomery J, Garg S, Charleston M, 'Bioacoustics data analysis - a taxonomy, survey and open challenges', IEEE Access, 8 pp. 57684-57708. ISSN 2169-3536 (2020) [Refereed Article] DOI: 10.1109/ACCESS.2020.2978547 [eCite] [Details] Citations: Scopus - 11Web of Science - 8 Co-authors: KVSN RR; Garg S; Charleston M Tweet
2020	Randall M, Montgomery J, Lewis A, 'An introduction to temporal optimisation using a water management problem', Journal of Computational Science, 42 Article 101108. ISSN 1877-7503 (2020) [Refereed Article] DOI: 10.1016/j.jocs.2020.101108 [eCite] [Details] Citations: Scopus - 3Web of Science - 2 Tweet
2020	Watkins J, Montgomery J, 'Acoustic index-based models for determining time of day in long duration environmental audio recordings', Ecological Indicators, 117 Article 106524. ISSN 1470-160X (2020) [Refereed Article] DOI: 10.1016/j.ecolind.2020.106524 [eCite] [Details] Citations: Scopus - 1 Tweet
2019	Brown A, Garg S, Montgomery J, 'Automatic rain and cicada chorus filtering of bird acoustic data', Applied Soft Computing, 81 Article 105501. ISSN 1568-4946 (2019) [Refereed Article] DOI: 10.1016/j.asoc.2019.105501 [eCite] [Details] Citations: Scopus - 14Web of Science - 12 Co-authors: Brown A; Garg S Tweet
2019	Montgomery J, Randall M, Lewis A, 'Integrating continuous differential evolution with discrete local search for meander line RFID antenna design', PLoS ONE, 14, (10) Article e0223194. ISSN 1932-6203 (2019) [Refereed Article] DOI: 10.1371/journal.pone.0223194 [eCite] [Details] Citations: Scopus - 1Web of Science - 1 Tweet
2018	Aghasian E, Garg S, Montgomery J, 'A privacy-enhanced friending approach for users on multiple online social networks', Computers, 7, (3) Article 42. ISSN 2073-431X (2018) [Refereed Article] DOI: 10.3390/computers7030042 [eCite] [Details] Citations: Scopus - 5Web of Science - 3 Co-authors: Aghasian E; Garg S Tweet
2018	Brown A, Garg S, Montgomery J, 'Scalable preprocessing of high volume environmental acoustic data for bioacoustic monitoring', PLoS One, 13, (8) Article e0201542. ISSN 1932-6203 (2018) [Refereed Article] DOI: 10.1371/journal.pone.0201542 [eCite] [Details] Citations: Scopus - 3Web of Science - 3 Co-authors: Brown A; Garg S Tweet
2018	Le DV, Montgomery J, Kirkby KC, Scanlan J, 'Risk prediction using natural language processing of electronic mental health records in an Inpatient forensic psychiatry setting', Journal of Biomedical Informatics, 86 pp. 49-58. ISSN 1532-0464 (2018) [Refereed Article] DOI: 10.1016/j.jbi.2018.08.007 [eCite] [Details] Citations: Scopus - 30Web of Science - 24 Co-authors: Le DV; Kirkby KC; Scanlan J Tweet
2017	Aghasian E, Garg S, Gao L, Yu S, Montgomery J, 'Scoring users' privacy disclosure across multiple online social networks', IEEE Access, 5 pp. 13118-13130. ISSN 2169-3536 (2017) [Refereed Article] DOI: 10.1109/ACCESS.2017.2720187 [eCite] [Details] Citations: Scopus - 51Web of Science - 34 Co-authors: Aghasian E; Garg S Tweet
2017	Brown A, Garg S, Montgomery J, 'Automatic and efficient denoising of bioacoustics recordings using MMSE STSA', IEEE Access, 6 pp. 5010-5022. ISSN 2169-3536 (2017) [Refereed Article] DOI: 10.1109/ACCESS.2017.2782778 [eCite] [Details] Citations: Scopus - 17Web of Science - 11 Co-authors: Brown A; Garg S Tweet
2015	Chen S, Montgomery J, Bolufe-Rohler A, 'Measuring the curse of dimensionality and its effects on particle swarm optimization and differential evolution', Applied Intelligence, 42, (3) pp. 514-526. ISSN 0924-669X (2015) [Refereed Article] DOI: 10.1007/s10489-014-0613-2 [eCite] [Details] Citations: Scopus - 111Web of Science - 95 Tweet
2015	Chen S, Montgomery J, Bolufe-Rohler A, Gonzalez-Fernandez Y, 'Invited paper: a review of thresheld convergence', GECONTEC: Revista Internacional de Gestion del Conocimiento y la Tecnologia, 3, (1) pp. 1-13. ISSN 2255-5684 (2015) [Non Refereed Article] [eCite] [Details]
2008	Montgomery J, Randall M, Hendtlass T, 'Solution bias in ant colony optimisation: lessons for selecting pheromone models', Computers and Operations Research, 35, (9) pp. 2728-2749. ISSN 0305-0548 (2008) [Refereed Article] DOI: 10.1016/j.cor.2006.12.014 [eCite] [Details] Citations: Scopus - 21Web of Science - 10 Tweet
2005	Montgomery J, Randall M, Hendtlass T, 'Automated selection of appropriate pheromone representations in ant colony optimization', Artificial Life, 11, (3) pp. 269-291. ISSN 1064-5462 (2005) [Refereed Article] DOI: 10.1162/1064546054407149 [eCite] [Details] Citations: Scopus - 13Web of Science - 11 Tweet
2003	Montgomery J, Randall M, 'The accumulated experience ant colony for the travelling salesman problem', International Journal of Computational Intelligence and Applications, 3, (2) pp. 189-198. ISSN 1469-0268 (2003) [Refereed Article] DOI: 10.1142/S1469026803000938 [eCite] [Details] Tweet

Chapter in Book

(2 outputs)

Year	Citation	Altmetrics
2020	Battula SK, Garg S, Montgomery J, Kang B, 'Fog Platforms for IoT Applications: Requirements, Survey, and Future Directions', IoT: Security and Privacy Paradigm, Routledge, S Pal, VG Diaz & D-N Le (ed), United Kingdom, pp. 47-69. ISBN 9780367253844 (2020) [Research Book Chapter] [eCite] [Details] Co-authors: Battula SK; Garg S; Kang B
2019	Aghasian E, Garg S, Montgomery J, 'User's Privacy in Recommendation Systems Applying Online Social Network Data: A Survey and Taxonomy', Big Data Recommender Systems - Volume 1: Algorithms, Architectures, Big Data, Security and Trus, Institution of Engineering and Technology, O Khalid, SU Khan, and AY Zomaya (ed), Stevenage, United Kingdom, pp. 259-282. ISBN 978-1-78561-501-6 (2019) [Research Book Chapter] DOI: 10.1049/PBPC035F_ch12 [eCite] [Details] Co-authors: Aghasian E; Garg S Tweet

Year

Citation

Altmetrics

2020

Battula SK, Garg S, Montgomery J, Kang B, 'Fog Platforms for IoT Applications: Requirements, Survey, and Future Directions', IoT: Security and Privacy Paradigm, Routledge, S Pal, VG Diaz & D-N Le (ed), United Kingdom, pp. 47-69. ISBN 9780367253844 (2020) [Research Book Chapter]

[eCite] [Details]

Co-authors: Battula SK; Garg S; Kang B

2019

Aghasian E, Garg S, Montgomery J, 'User's Privacy in Recommendation Systems Applying Online Social Network Data: A Survey and Taxonomy', Big Data Recommender Systems - Volume 1: Algorithms, Architectures, Big Data, Security and Trus, Institution of Engineering and Technology, O Khalid, SU Khan, and AY Zomaya (ed), Stevenage, United Kingdom, pp. 259-282. ISBN 978-1-78561-501-6 (2019) [Research Book Chapter]

DOI: 10.1049/PBPC035F_ch12 [eCite] [Details]

Co-authors: Aghasian E; Garg S

Conference Publication

(51 outputs)

Year	Citation	Altmetrics
2022	Chen S, Bolufe-Rohler A, Montgomery J, Tamayo-Vera D, Hendtlass T, 'Measuring the effects of increasing dimensionality on fitness-based selection and failed exploration', Proceedings of 2022 IEEE Congress on Evolutionary Computation (CEC), 18-23 July 2022, Padua, Italy, pp. 1-8. ISBN 9781665467087 (2022) [Refereed Conference Paper] DOI: 10.1109/CEC55065.2022.9870409 [eCite] [Details] Tweet
2022	Chen S, Bolufe-Rohler A, Montgomery J, Zhang W, Hendtlass T, 'Using average-fitness based selection to combat the curse of dimensionality', Proceedings of 2022 IEEE Congress on Evolutionary Computation (CEC), 18-23 July 2022, Padua, Italy, pp. 1-8. ISBN 9781665467087 (2022) [Refereed Conference Paper] DOI: 10.1109/CEC55065.2022.9870232 [eCite] [Details] Tweet
2021	Chen S, Islam S, Bolufe-Rohler A, Montgomery J, Hendtlass T, 'A random walk analysis of search in metaheuristics', Proceedings of 2021 IEEE Congress on Evolutionary Computation (CEC), Jun 28 - Jul 1, 2021, Krakow, Poland, pp. 2323-2330. ISBN 9781728183930 (2021) [Refereed Conference Paper] DOI: 10.1109/CEC45853.2021.9504687 [eCite] [Details] Citations: Scopus - 4 Tweet
2019	Ashlock D, Ashlock W, Montgomery J, 'Implementing phenotypic plasticity with an adaptive generative representation', Proceedings of the 2019 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 9-11 July 2019, Siena, Italy, pp. 173-180. ISBN 978-1-7281-1462-0 (2019) [Refereed Conference Paper] DOI: 10.1109/CIBCB.2019.8791496 [eCite] [Details] Tweet
2019	Ashlock D, Montgomery J, 'Applying an adaptive generative representation to the investigation of affordances in puzzles', Proceedings of the 2019 IEEE Congress on Evolutionary Computation, 10-13 June 2019, Wellington, New Zealand, pp. 762-769. (2019) [Refereed Conference Paper] [eCite] [Details] Tweet
2019	Chen S, Bolufe-Rohler A, Montgomery J, Hendtlass T, 'An analysis on the effect of selection on exploration in particle swarm optimization and differential evolution', Proceedings of the 2019 IEEE Congress on Evolutionary Computation, 10-13 June 2019, Wellington, New Zealand, pp. 3037-3044. (2019) [Refereed Conference Paper] DOI: 10.1109/CEC.2019.8790200 [eCite] [Details] Citations: Scopus - 20 Tweet
2019	Lewis A, Randall M, Elliott S, Montgomery J, 'Long term implications of climate change on crop planning', Proceedings of the 2019 International Conference on Computational Science, 12-14 June 2019, Faro, Portugal, pp. 369-382. ISBN 9783030227340 (2019) [Refereed Conference Paper] DOI: 10.1007/978-3-030-22734-0_27 [eCite] [Details] Citations: Scopus - 2Web of Science - 1 Tweet
2018	Montgomery J, Fitzgerald A, Randall M, Lewis A, 'A computational comparison of evolutionary algorithms for water resource planning for agricultural and environmental purposes', 2018 IEEE Congress on Evolutionary Computation, 8-13 July 2018, Rio de Janeiro, Brazil, pp. 1-8. ISBN 9781509060177 (2018) [Refereed Conference Paper] DOI: 10.1109/CEC.2018.8477712 [eCite] [Details] Citations: Scopus - 3Web of Science - 2 Tweet
2018	Rama Rao KSVN, Garg S, Montgomery J, 'Investigation of unsupervised models for biodiversity assessment', Proceedings of the 31st Australasian Joint Conference on Artificial Intelligence, 11-14 December 2018, Wellington, New Zealand, Lecture Notes in Computer Science, 11320, pp. 160-171. ISSN 0302-9743 (2018) [Refereed Conference Paper] DOI: 10.1007/978-3-030-03991-2_17 [eCite] [Details] Citations: Scopus - 2Web of Science - 1 Co-authors: Rama Rao KSVN; Garg S Tweet
2018	Tamayo-Vera D, Chen S, Bolufe-Rohler A, Montgomery J, Hendtlass T, 'Improved exploration and exploitation in particle swarm optimization', Proceedings of the 31st International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, 25-28 June 2018, Montreal, Canada, pp. 421-433. ISBN 9783319920573 (2018) [Refereed Conference Paper] DOI: 10.1007/978-3-319-92058-0_41 [eCite] [Details] Citations: Scopus - 10Web of Science - 5 Tweet
2017	Montgomery J, Ashlock D, 'Applying the biased form of the adaptive generative representation', Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 5-8 June 2017, San Sebastian, Spain, pp. 1079-1086. ISBN 9781509046003 (2017) [Refereed Conference Paper] DOI: 10.1109/CEC.2017.7969427 [eCite] [Details] Citations: Scopus - 4 Tweet
2016	Ashlock D, Montgomery J, 'An adaptive generative representation for evolutionary computation', Proceedings of the 2016 IEEE Congress on Evolutionary Computation (CEC), 24-29 July 2016, Vancouver, Canada, pp. 1578-1585. ISBN 978-1-5090-0622-9 (2016) [Refereed Conference Paper] DOI: 10.1109/CEC.2016.7743977 [eCite] [Details] Citations: Scopus - 10 Tweet
2016	Langan G, Montgomery J, Garg S, 'Similarity matching of computer science unit outlines in higher education', Lecture Notes in Computer Science 9992: Proceedings of the 29th Australasian Joint Conference on Artificial Intelligence (AI 2016): Advances in Artificial Intelligence), 5-8 December 2016, Hobart, Tasmania, pp. 150-162. ISBN 978-3-319-50126-0 (2016) [Refereed Conference Paper] DOI: 10.1007/978-3-319-50127-7_12 [eCite] [Details] Co-authors: Garg S Tweet
2016	Montgomery J, Reid MD, Drake B, 'Protocols and structures for inference: a RESTful API for machine learning', Proceedings of Machine Learning Research (PMLR) - Volume 50: 2nd Conference on Predictive APIs and Apps (PAPIs '15), 6-7 August 2015, Sydney, Australia, pp. 29-42. ISSN 1532-4435 (2016) [Refereed Conference Paper] [eCite] [Details] Tweet
2016	Thudumu S, Garg S, Montgomery J, 'B2P2: A scalable big bioacoustic processing platform', Proceedings of the 18th International Conference on High Performance Computing & Communications; 14th International Conference on Smart City; 2nd International Conference on Data Science & Systems, 12-14 December 2016, Sydney, Australia, pp. 1211-1217. ISBN 978-1-5090-4297-5 (2016) [Refereed Conference Paper] DOI: 10.1109/HPCC-SmartCity-DSS.2016.74 [eCite] [Details] Citations: Scopus - 2 Co-authors: Thudumu S; Garg S Tweet
2015	Garg SK, Gao L, Montgomery J, 'Clouds selection for network appliances based on trust credibility', Proceedings of the International Telecommunication Network and Applications Conference, 18-20 November 2015, Sydney, Australia, pp. 302-307. ISBN 978-1-4673-9348-5 (2015) [Refereed Conference Paper] DOI: 10.1109/ATNAC.2015.7366830 [eCite] [Details] Citations: Scopus - 2 Co-authors: Garg SK Tweet
2015	Montgomery J, 'Representation matters: real-valued encodings for meander line RFID antennas', Proceedings of 2015 IEEE Congress on Evolutionary Computation, 25-28 May, Sendai, Japan, pp. 1303-1310. ISBN 978-1-4799-7491-7 (2015) [Refereed Conference Paper] DOI: 10.1109/CEC.2015.7257039 [eCite] [Details] Citations: Scopus - 4 Tweet
2015	Piad-Morffis A, Estevez-Velarde S, Bolufe-Rohler A, Montgomery J, Chen S, 'Evolution strategies with thresheld convergence', Proceedings of 2015 IEEE Congress on Evolutionary Computation, 25-28 May, Sendai, Japan, pp. 2097-2104. ISBN 978-1-4799-7491-7 (2015) [Refereed Conference Paper] DOI: 10.1109/CEC.2015.7257143 [eCite] [Details] Citations: Scopus - 15 Tweet
2014	Chen S, Montgomery J, Bolufe-Rohler A, 'Some measurements on the effects of the curse of dimensionality', GECCO'14 Companion Publication of the 2014 Genetic and Evolutionary Computation Conference, 12-16 July, Vancouver, Canada, pp. 1447-1448. ISBN 978-1-4503-2881-4 (2014) [Conference Extract] DOI: 10.1145/2598394.2602271 [eCite] [Details] Citations: Scopus - 1 Tweet
2014	Montgomery J, Chen S, Gonzalez-Fernandez Y, 'Identifying and exploiting the scale of a search space in differential evolution', Proceedings of 2014 IEEE Congress on Evolutionary Computation, 6-11 July 2014, Beijing, China, pp. 1427-1434. ISBN 9781479966264 (2014) [Refereed Conference Paper] DOI: 10.1109/CEC.2014.6900579 [eCite] [Details] Citations: Scopus - 2Web of Science - 2 Tweet
2014	Montgomery J, Randall M, Lewis A, 'Extending the front: designing RFID antennas using multiobjective differential evolution with biased population selection', Proceedings of 14th International Conference on Computational Science 2014, 10-12 June 2014, Cairns, Australia, pp. 1893-1903. ISSN 1877-0509 (2014) [Refereed Conference Paper] DOI: 10.1016/j.procs.2014.05.174 [eCite] [Details] Citations: Scopus - 7Web of Science - 7 Tweet
2014	Wasinger R, Adam A, Chinthammit W, Kay J, Montgomery J, 'A framework for integrating concept maps into higher-order learning units in IT education', Workshop on HCI Education in Asia Pacific at OzCHI, 2 December 2014, Sydney, Australia, pp. 7-10. ISBN 978-1-4503-0653-9 (2014) [Refereed Conference Paper] [eCite] [Details] Co-authors: Wasinger R; Adam A; Chinthammit W Tweet
2014	Wasinger R, Adam A, Chinthammit W, Montgomery J, Stannus S, et al., 'Towards the effective use of multiple displays in teaching and learning environments', Workshop on HCI Education in Asia Pacific at OzCHI, 2 December 2014, Sydney, Australia, pp. 21-24. ISBN 978-1-4503-0653-9 (2014) [Refereed Conference Paper] [eCite] [Details] Co-authors: Wasinger R; Adam A; Chinthammit W; Stannus S; Xu S Tweet
2013	Bolufe-Rohler A, Estevez-Velarde S, Piad-Morffis A, Chen S, Montgomery J, 'Differential evolution with thresheld convergence', Proceedings of the 2013 IEEE Congress on Evolutionary Computation, 20-23 June 2013, Cancun, Mexico, pp. 40-47. ISBN 978-1-4799-0453-2 (2013) [Refereed Conference Paper] DOI: 10.1109/CEC.2013.6557551 [eCite] [Details] Citations: Scopus - 17Web of Science - 14 Tweet
2013	Chen S, Montgomery J, 'Particle swarm optimization with thresheld convergence', Proceedings of the 2013 IEEE Congress on Evolutionary Computation, 20-23 June 2013, Cancun, Mexico, pp. 510-516. ISBN 978-1-4799-0453-2 (2013) [Refereed Conference Paper] DOI: 10.1109/CEC.2013.6557611 [eCite] [Details] Citations: Scopus - 16Web of Science - 12 Tweet
2013	Masrom S, Moser I, Montgomery J, Abidin SZZ, Omar N, 'Hybridization of particle swarm optimization with adaptive genetic algorithm operators', Proceedings of the 2013 International Conference on Intelligent Systems Design and Applications, 8-10 December 2013, Malaysia, pp. 1-6. ISBN 978-1-4799-3516-1 (2013) [Refereed Conference Paper] DOI: 10.1109/ISDA.2013.6920726 [eCite] [Details] Citations: Scopus - 6Web of Science - 2 Tweet
2013	Woodward CJ, Montgomery J, Vasa R, Cain A, 'Agile development spikes applied to computer science education', Proceedings of IEEE International Conference on Teaching, Assessment and Learning for Engineering 2013, 26-29 August 2013, Kuta, Indonesia, pp. 699-704. ISBN 978-1-4673-6355-6 (2013) [Refereed Conference Paper] DOI: 10.1109/TALE.2013.6654527 [eCite] [Details] Citations: Scopus - 2 Tweet
2012	Beer C, Hendtlass T, Montgomery J, 'Improving exploration in ant colony optimisation with antennation', Proceedings of the 2012 IEEE Congress on Evolutionary Computation, 10-15 June 2012, Brisbane, Australia, pp. 2926-2933. ISBN 978-1-4673-1510-4 (2012) [Refereed Conference Paper] DOI: 10.1109/CEC.2012.6252923 [eCite] [Details] Citations: Scopus - 9 Tweet
2012	Chen S, Xudiera C, Montgomery J, 'Simulated annealing with thresheld convergence', Proceedings of the 2012 IEEE Congress on Evolutionary Computation, 2012 IEEE Congress on Evolutionary Computation, Brisbane, Australia, pp. 1946-1952. ISBN 978-1-4673-1510-4 (2012) [Refereed Conference Paper] DOI: 10.1109/CEC.2012.6256591 [eCite] [Details] Citations: Scopus - 12 Tweet
2012	Montgomery J, Chen S, 'A simple strategy for maintaining diversity and reducing crowding in differential evolution', Proceedings of 2012 IEEE Congress on Evolutionary Computation, 10-15 June 2012, Brisbane, Australia, pp. 2692-2699. ISBN 978-1-4673-1510-4 (2012) [Refereed Conference Paper] DOI: 10.1109/CEC.2012.6252891 [eCite] [Details] Citations: Scopus - 11 Tweet
2011	Chen S, Montgomery J, 'A simple strategy to maintain diversity and reduce crowding in particle swarm optimization', AI 2011: Advances in Artificial Intelligence, 5-8 December 2011, Perth, Australia, pp. 281-290. ISBN 978-3-642-25831-2 (2011) [Refereed Conference Paper] DOI: 10.1007/978-3-642-25832-9_29 [eCite] [Details] Citations: Scopus - 3Web of Science - 14 Tweet
2011	Chen S, Montgomery J, 'Selection strategies for initial positions and initial velocities in multi-optima particle swarms', Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 12-16 July 2011, Dublin, Ireland, pp. 53-60. ISBN 978-1450312547 (2011) [Refereed Conference Paper] DOI: 10.1145/2001576.2001585 [eCite] [Details] Citations: Scopus - 17Web of Science - 16 Tweet
2011	Montgomery J, Randall M, Lewis A, 'Differential evolution for RFID antenna design: a comparison with ant colony optimisation', Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 12-16 July 2011, Dublin, Ireland, pp. 673-680. ISBN 978-1450312547 (2011) [Refereed Conference Paper] DOI: 10.1145/2001576.2001669 [eCite] [Details] Citations: Scopus - 15Web of Science - 10 Tweet
2011	Moser I, Montgomery J, 'Population-ACO for the automotive deployment problem', Proceedings of the 13th Annual Conference on Genetic and Evolutionary Computation, 12-16 July 2011, Dublin, Ireland, pp. 777-784. ISBN 978-1450312547 (2011) [Refereed Conference Paper] DOI: 10.1145/2001576.2001682 [eCite] [Details] Citations: Scopus - 6Web of Science - 6 Tweet
2011	Reid MD, Montgomery J, Premachandra M, 'Anatomy of a learning problem', Proceedings of the 25th Conference on Neural Information Processing Systems, 16-17 December 2011, Sierra Nevada,Spain, pp. 1-8. ISBN 9781618395993 (2011) [Refereed Conference Paper] [eCite] [Details] Tweet
2010	Montgomery J, 'Crossover and the different faces of differential evolution searches', Proceedings of the IEEE Congress on Evolutionary Computation 2010, 18-23 July 2010, Barcelona, Spain, pp. 1951-1958. ISBN 978-1-4244-6909-3 (2010) [Refereed Conference Paper] DOI: 10.1109/CEC.2010.5586184 [eCite] [Details] Citations: Scopus - 14 Tweet
2010	Montgomery J, Chen S, 'An analysis of the operation of differential evolution at high and low crossover rates', Proceedings of the IEEE Congress on Evolutionary Computation 2010, 18-23 July 2010, Barcelona, Spain, pp. 1807-1814. ISBN 978-1-4244-6909-3 (2010) [Refereed Conference Paper] DOI: 10.1109/CEC.2010.5586128 [eCite] [Details] Citations: Scopus - 53Web of Science - 3 Tweet
2010	Montgomery J, Moser I, 'Parallel constraint handling in a multiobjective evolutionary algorithm for the automotive deployment problem', Proceedings of the 6th IEEE International Conference on E-Science Workshops 2010, 7-10 December 2010, Brisbane, Australia, pp. 104-109. ISBN 978-1-4244-8988-6 (2010) [Refereed Conference Paper] DOI: 10.1109/eScienceW.2010.26 [eCite] [Details] Citations: Scopus - 4 Tweet
2009	Montgomery J, 'The effects of different kinds of move in differential evolution searches', Artificial Life: Borrowing from Biology, 1-4 December 2009, Melbourne, Australia, pp. 272-281. ISBN 978-3-642-10426-8 (2009) [Refereed Conference Paper] DOI: 10.1007/978-3-642-10427-5_27 [eCite] [Details] Citations: Scopus - 3Web of Science - 3 Tweet
2009	Montgomery J, 'Differential evolution: difference vectors and movement in solution space', Proceedings of the IEEE Congress on Evolutionary Computation 2009, 18-21 May 2009, Trondheim, Norway, pp. 2833-2840. ISBN 978-1-4244-2958-5 (2009) [Refereed Conference Paper] DOI: 10.1109/CEC.2009.4983298 [eCite] [Details] Citations: Scopus - 18Web of Science - 15 Tweet
2007	Montgomery J, 'Alternative solution representations for the job shop scheduling problem in ant colony optimisation', Proceedings of the Third Australian Conference on Artificial Life (ACAL07), 4-6 December 2007, Gold Coast, Australia, pp. 1-12. ISBN 9783540769309 (2007) [Refereed Conference Paper] DOI: 10.1007/978-3-540-76931-6_1 [eCite] [Details] Citations: Scopus - 2Web of Science - 6 Tweet
2006	Montgomery J, 'Higher order pheromone models in ant colony optimisation', Proceedings of the 5th International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS 2006), 4-7 September 2006, Brussels, Belgium, pp. 428-435. ISBN 9783540384823 (2006) [Refereed Conference Paper] DOI: 10.1007/11839088_42 [eCite] [Details] Citations: Scopus - 1 Tweet
2006	Montgomery J, Fayad C, Petrovic S, 'Solution representation for job shop scheduling problems in ant colony optimisation', Proceedings of the Fifth International Workshop on Ant Colony Optimization and Swarm Intelligence (ANTS 2006), 4-7 September 2006, Brussels, Belgium, pp. 484-491. ISBN 9783540384823 (2006) [Refereed Conference Paper] DOI: 10.1007/11839088_49 [eCite] [Details] Citations: Scopus - 11Web of Science - 11 Tweet
2005	Montgomery J, Randall M, Hendtlass T, 'Structural advantages for ant colony optimisation inherent in permutation scheduling problems', Proceedings of the 18th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE 2005), 22-24 June 2005, Bari, Italy, pp. 218-228. ISBN 978-3-540-26551-1 (2005) [Refereed Conference Paper] DOI: 10.1007/11504894_31 [eCite] [Details] Citations: Scopus - 8Web of Science - 5 Tweet
2004	Montgomery J, Randall M, Hendtlass T, 'Search bias in constructive metaheuristics and implications for ant colony optimisation', Proceedings of the 4th International Workshop (ANTS 2004), 5-8 September 2004, Brussels, Belgium, pp. 390-397. ISBN 9783540226727 (2004) [Refereed Conference Paper] DOI: 10.1007/b99492 [eCite] [Details] Citations: Scopus - 10Web of Science - 7 Tweet
2003	Montgomery EJ, Meling R, Mehandjiska D, 'Semi-formal, not semi-realistic: a component description manager', Proceedings of the Technology of Object-Oriented Languages, Systems and Architectures, 13-15 March 2002, Sofia, Bulgaria, pp. 197-207. ISBN 978-1-4615-0413-9 (2003) [Refereed Conference Paper] [eCite] [Details] Tweet
2003	Montgomery J, Randall M, Hendtlass T, 'Automated selection of appropriate pheromone representations in ant colony optimisation', Proceedings of the 1st Australian Conference on Artificial Life (ACAL 2003), 6-7 December 2003, Canberra, ACT, pp. 170-184. ISBN 0975152807 (2003) [Refereed Conference Paper] DOI: 10.1162/1064546054407149 [eCite] [Details] Citations: Scopus - 13Web of Science - 11 Tweet
2002	Montgomery J, Randall M, 'Anti-pheromone as a tool for better exploration of search space', Proceedings of the 3rd International Workshop on Ant Algorithms (ANTS 2002), 12-14 September 2002, Brussels, Belgium, pp. 100-110. ISBN 978-3-540-44146-5 (2002) [Refereed Conference Paper] DOI: 10.1007/3-540-45724-0_9 [eCite] [Details] Tweet
2002	Randall M, Montgomery J, 'Candidate set strategies for ant colony optimisation', Proceedings of the 3rd International Workshop on Ant Algorithms (ANTS 2002), 12-14 September 2002, Brussels, Belgium, pp. 243-249. ISBN 9783540441465 (2002) [Refereed Conference Paper] DOI: 10.1007/3-540-45724-0_22 [eCite] [Details] Tweet
2001	Randall M, Montgomery J, 'The accumulated experience ant colony for the travelling salesman problem', Proceedings of the Inaugural Workshop on Artificial Life (AL 01), 11 December 2001, Adelaide, South Australia, pp. 79-87. ISBN 0731705084 (2001) [Refereed Conference Paper] [eCite] [Details] Tweet
2000	Meling R, Montgomery EJ, Ponnusamy PS, Wong EB, Mehandjiska D, 'Storing and retrieving software components: a component description manager', Proceedings of the 12th Australian Software Engineering Conference (ASWEC 2000), 28-29 April 2000, Canberra, ACT, pp. 107-117. ISBN 0-7695-0631-3 (2000) [Refereed Conference Paper] DOI: 10.1109/ASWEC.2000.844568 [eCite] [Details] Citations: Scopus - 15 Tweet

Computer Software

(2 outputs)

Year	Citation	Altmetrics
2018	Brown A, Garg S, Montgomery J, 'Scalable Bioacoustics Pre-Processing: a platform to efficiently pre-process and reduce noise from large scale bioacoustics recordings in a distributed system', 1.0, SourceForge, Hobart, Tasmania (2018) [Software Other] [eCite] [Details] Co-authors: Brown A; Garg S Tweet
2013	Montgomery J, 'Protocols and Structures for Inference Project', Australia (2013) [Software Other] [eCite] [Details] Tweet

Year

Citation

Altmetrics

2018

Brown A, Garg S, Montgomery J, 'Scalable Bioacoustics Pre-Processing: a platform to efficiently pre-process and reduce noise from large scale bioacoustics recordings in a distributed system', 1.0, SourceForge, Hobart, Tasmania (2018) [Software Other]

[eCite] [Details]

Co-authors: Brown A; Garg S

2013

Montgomery J, 'Protocols and Structures for Inference Project', Australia (2013) [Software Other]

[eCite] [Details]

Thesis

(1 outputs)

Year	Citation	Altmetrics
2005	Montgomery EJ, 'Solution biases and pheromone representation selection in ant colony optimisation' (2005) [PhD] [eCite] [Details]

Other Public Output

(2 outputs)

Year	Citation	Altmetrics
2018	Montgomery J, 'Calling for citizen scientists to recognise bird calls', Mornings with Sarah Gillman, ABC Radio Hobart, Hobart, Tasmania, 14 August 2018 (2018) [Media Interview] [eCite] [Details]
2018	Montgomery J, 'Calling for citizen scientists to recognise bird calls', University of Tasmania News, University of Tasmania, Australia, 13 August 2018 (2018) [Internal Newsletter] [eCite] [Details] Tweet

Year

Citation

Altmetrics

2018

Montgomery J, 'Calling for citizen scientists to recognise bird calls', Mornings with Sarah Gillman, ABC Radio Hobart, Hobart, Tasmania, 14 August 2018 (2018) [Media Interview]

[eCite] [Details]

2018

Montgomery J, 'Calling for citizen scientists to recognise bird calls', University of Tasmania News, University of Tasmania, Australia, 13 August 2018 (2018) [Internal Newsletter]

[eCite] [Details]

Grants & Funding

James was part of a successful bid in Stage 2 of the Sense-T project to develop a knowledge management system for the viticulture domain. The project is shared between the Tas Institute of Agriculture (TIA) and the ICT Discipline. His postdoctoral position at Swinburne University of Technology was funded entirely through external collaborations and consultancy work. In one project, funded through the Auto-CRC, he partnered with GKN Aerospace Australia to develop a semantic search engine for their particular engineering. He also worked on two consultancy projects for the Attorney-General's Department D Branch. One was an investigation and report into how to visualise large-scale graph-like structures, while the other involved the design and implementation of an approach to identifying unusual coincidences in large-scale time-series data.

Funding Summary

Number of grants

Total funding

$686,232

Projects

PhD scholarship offer - Machine Learning Applications in the Detection and Classification of Debris in Low Earth Orbit (2020 - 2023)$35,000

Description: This project seeks to assess the feasibility of machine learning (ML) methods used in communications and signal processing (such as those used to augment the accuracy of LIDAR and radar in areas such as autonomous vehicles and live spatial tracking) for the problem of identifying and predicting trajectories of debris in low Earth orbit using passive radar.
Funding: CSIRO Data61 ($35,000)
Scheme: NUCA Collaborative Research Projects
Administered By: University of Tasmania
Research Team: Montgomery J
Period: 2020 - 2023

Machine learning insight generation for the Virtuoso enterprise learning platform (2020)$17,500

Description: An APR. Intern mediated internship by PhD candidate Alex Brown to devise a framework for recognising patterns and surfacing insights of value or statistical interest based on the data collated by the Virtuoso platform, used to support online education.
Funding: Australian Institute of Mathematics & Science Pty Ltd ($17,500)
Scheme: APR Intern
Administered By: University of Tasmania
Research Team: Montgomery J; Brown AS; Garg SK
Year: 2020

An Investigation to Detect and Map Internal and External Defects in the Commercial Eucalypt Timber Species Using Non-destructive Techniques (2020 - 2021)$40,000

Description: This project aims to investigate the development of a prototype imputation model to detect the internal defects and to map the external characteristics of standing live trees in commercial native forest species in NSW and WA using ultrasound scanning and UAV photogrammetry & LiDAR
Funding: Forest & Wood Products Australia Limited ($40,000)
Scheme: Grant-Research and Development
Administered By: University of Tasmania
Research Team: Taskhiri M; Turner P; Krisanski SG; Montgomery J
Period: 2020 - 2021

A forest resource characterisation of Tasmania Stage 1 of 2 Feasibility (2019)$65,000

Description: This project is Stage 1. Feasibility of a two part project on developing more accurate and reliable models that can provide estimates of hardwood log outputs alignment to primary product outcomes, from both private and publically owned native forest and plantation hardwood estates, by region and location. This stage shall collect, collate and compile available existing data and information on the Tasmanianestates. Stage 2. Modelling and Validation, will depend on the industry participant's response to the outcomes of Stage 1 and would aim to develop a base state-wide modelling system that can be employedover repeat cycles. Stage 2 presently has no request for funding, but it is recommended a further $500,000 is retained in the NIFPI account to fund this stage, which will immediately follow the Feasibility Study.
Funding: FWPA - National Institute for Forest Products Innovation ($65,000)
Scheme: Grant-Research
Administered By: University of Tasmania
Research Team: O'Reilly-Wapstra JM; Vega Rivero MH; Baker T; Montgomery J
Year: 2019

Developing Bird Identification Aural Skills for Enhancing Participation in Environment Conservation (2018)$4,679

Description: The project will expand the features of a new citizen science platform for training members of the public to identify bird species from recordings of their calls, and deliver targeted workshops for local teachers, who can then use the website in their lessons if they chose. The new features will include 'gamified' species identification suitable for a range of audiences. The project complements an existing grant application under review by the Tasmanian Community Fund, and our modest in-kind time contribution would service both.
Funding: Norman Wettenhall Foundation ($4,679)
Scheme: Grant
Administered By: University of Tasmania
Research Team: Garg SK; Montgomery J
Year: 2018

Citizen Science Based Data Collection to Enable Automatic Ecoacoustic Analysis (2017)$6,740

Description: Internally applied and awarded grant 2017 DKD Booster Grant.
Funding: University of Tasmania ($6,740)
Scheme: Grant - DKD Research Theme
Administered By: University of Tasmania
Research Team: Montgomery J; Garg SK
Year: 2017

Sense-T Stage 2: Viticulture (2015 - 2016)$517,313

Description: This project creates a system of 'live knowledge' management that integrates human observations of grape production with sensor-derived intelligence to constantly improve the quality and accuracy of variables predicting crop stages or those associated with grape yield and quality. The system will support better decision making by vineyard managers and winemakers about crop interventions and winery logistics. Not only will this tool strengthen the functionality of the Sense-T Stage 1 viticulture app, it will also facilitate users to collaborate and share data and knowledge for constructive advantage and entrepreneurship. This value-adding will promote technology adoption and sustainable expansion of the Tasmanian wine and grape industry.
Funding: University of Tasmania ($517,313)
Scheme: Grant - Institutional
Administered By: University of Tasmania
Research Team: Evans KJ; Kang BH; Buntain M; Corkrey SR; Turner P; Montgomery J
Period: 2015 - 2016

Research Supervision

Dr Montgomery is looking for talented and enthusiastic students for the following research projects:

Ecoacoustics data processing
Crop and water use modelling and optimisation
Designing patch RFID antennas using evolutionary algorithms, including
- Alternative solution representations for optimising meander line RFID antennas
- Development of surrogate models for antenna electromagnetic property evaluation (to speed up evaluation of alternative designs)
Improving evolutionary algorithms through the identification of global search space structure

He has co-supervised the following PhD candidates at Swinburne University of Technology:

Steve Dower: Disambiguating Evolutionary Algorithms: Composition and Communication with ESDL, 2012
David Howden: Bushfire Surveillance Using Dynamic Priority Maps and Swarming Unmanned Aerial Vehicles, 2014
Nathan Rose: Applying Artificial Neural Network Techniques to the ARMA Model, 2015
Christopher Beer: Solving Dynamic Optimisation Problems, 2015

Current

Completed

Current

Degree	Title	Commenced
PhD	Risk Prediction in Electronic Health Records using Natural Language Processing	2018
PhD	Commensal Space Domain Awareness with the Australia Telescope Compact Array	2020
PhD	Using Learning Analytics to Improve Student Retention in STEM Courses	2022

Completed

Degree	Title	Completed
PhD	Unsupervised Deep Learning Approach for Information Extraction Candidate: Israel Dziwornu Fianyi	2023
PhD	Automatic Processing of Large-scale Bioacoustic Data Using Dynamic Workflows Candidate: Alexander Samuel Brown	2022
PhD	Developing Novel Methods for the Capture and Analysis of Digital and Physical Samples in Complex Forest Environments Candidate: Sean Graeme Krisanski	2022
PhD	Efficient Resource Management for Fog Computing Candidate: Sudheer Kumar Battula	2021
PhD	Real Time Biodiversity Measurement in Large Bioacoustic Datasets Candidate: Venkata Satya Narasimha Rama Rao Kaluri	2021
PhD	A Privacy-Based Mechanism for Users' Information Scoring and Anonymisation across Multiple Online Social Networks Candidate: Erfan Aghasian	2019