Profiles

James Montgomery

UTAS Home Dr James Montgomery

James Montgomery

Lecturer
Information & Communication Technology
Information and Communication Technology

Room 466, Centenary, Sandy Bay Campus

+61 3 6226 7294 (phone)

+61 3 6324 3368 (fax)

James.Montgomery@utas.edu.au

Dr Montgomery is a lecturer in ICT in the School of Technology, Environments and Design, 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

Administrative expertise

Deputy course coordinator for BICT, contributor to ACS Accreditation submission, 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.

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).

Teaching responsibility

In semester 2 2018 James is unit coordinator and lecturer for Programming Fundamentals (KIT101) and unit coordinator and co-lecturer for Computational Science (KIT103)Consultation times are available on the ICT Discipline site.

James teaches into both the:

At various times he has been involved in teaching:

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. He has recently begun work on the optimisation of water distribution networks for crop irrigation.

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 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. This includes the development of the Birdsong citizen science website.

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

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, Evolutionary and Fuzzy Computation (080108)
  • Distributed and Grid Systems (080501)
  • Computer-Human Interaction (080602)
  • Computer System Security (080303)
  • Software Engineering (080309)
  • Pattern Recognition and Data Mining (080109)
  • Web Technologies (excl. Web Search) (080505)
  • Adaptive Agents and Intelligent Robotics (080101)
  • Science, Technology and Engineering Curriculum and Pedagogy (130212)
  • Natural Language Processing (080107)
  • Information Systems (080699)
  • Theoretical and Applied Mechanics (010207)
  • Expert Systems (080105)
  • Conservation and Biodiversity (050202)
  • Decision Support and Group Support Systems (080605)
  • Environmental Monitoring (050206)
  • Networking and Communications (080503)
  • Oenology and Viticulture (070604)
  • Terrestrial Ecology (060208)

Research Objectives

  • Expanding Knowledge in the Information and Computing Sciences (970108)
  • Application Tools and System Utilities (890202)
  • Forest and Woodlands Flora, Fauna and Biodiversity (960806)
  • Application Software Packages (excl. Computer Games) (890201)
  • Information Services (890399)
  • Information Processing Services (incl. Data Entry and Capture) (890205)
  • Forest and Woodlands Land Management (960906)
  • Health Policy Evaluation (920208)
  • Wine Grapes (820306)
  • Mental Health (920410)
  • Farmland, Arable Cropland and Permanent Cropland Water Management (960905)
  • Teaching and Instruction Technologies (930203)
  • Road Passenger Movements (excl. Public Transport) (880107)
  • Ecosystem Assessment and Management of Forest and Woodlands Environments (960505)
  • Internet Hosting Services (incl. Application Hosting Services) (890206)
  • Education and Training Theory and Methodology (939902)
  • Farmland, Arable Cropland and Permanent Cropland Flora, Fauna and Biodiversity (960804)
  • Native Forests (820104)

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

57

Journal Article

(10 outputs)
YearCitationAltmetrics
2018Aghasian 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]

Co-authors: Aghasian E; Garg S

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2018Brown 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]

Co-authors: Garg S

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2018Le 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]

Co-authors: Le DV; Kirkby KC; Scanlan J

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2017Aghasian 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 - 6Web of Science - 3

Co-authors: Aghasian E; Garg S

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2017Brown 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 - 3

Co-authors: Garg S

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2015Chen 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 - 24Web of Science - 19

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2015Chen 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]

2008Montgomery 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 - 16Web of Science - 8

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2005Montgomery 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 - 11Web of Science - 10

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2003Montgomery 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]

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Chapter in Book

(1 outputs)
YearCitationAltmetrics
2018Aghasian E, Garg S, Montgomery J, 'User's Privacy in Recommendation Systems Applying Online Social Network Data: A Survey and Taxonomy', Big Data Recommender Systems: Recent Trends and Advances, The Institution of Engineering and Technology, O Khalid, SU Khan, AY Zomaya (ed), pp. 1-26. (In Press) [Research Book Chapter]

[eCite] [Details]

Co-authors: Aghasian E; Garg S

Conference Publication

(43 outputs)
YearCitationAltmetrics
2018Montgomery 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]

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2018Tamayo-Vera D, Chen S, Bolufe-Rohler A, Montgomery J, Hendtlass T, 'Improved exploration and exploitation in particle swarm optimization', Recent Trends and Future Technology in Applied Intelligence LNAI 10868, 25-28 June 2018, Montreal, Canada, pp. 1-13. ISBN 9783319920573 (2018) [Refereed Conference Paper]

DOI: 10.1007/978-3-319-92058-0_41 [eCite] [Details]

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2017Montgomery 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]

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2016Ashlock 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 - 2

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2016Montgomery 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]

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2016Thudumu 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 - 1

Co-authors: Thudumu S; Garg S

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2016Langan 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

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2015Garg 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 - 1

Co-authors: Garg SK

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2015Montgomery 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 - 2

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2015Piad-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 - 5

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2014Chen 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]

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2014Montgomery 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 - 5Web of Science - 4

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2014Wasinger 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]

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Co-authors: Wasinger R; Adam A; Chinthammit W

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2014Wasinger 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]

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Co-authors: Wasinger R; Adam A; Chinthammit W; Stannus S; Xu S

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2014Montgomery 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

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2013Bolufe-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 - 11Web of Science - 7

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2013Chen 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 - 10Web of Science - 6

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2013Masrom 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 - 2

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2013Woodward 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 - 1

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2012Beer 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 - 6

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2012Chen 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 - 8

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2012Montgomery 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 - 5

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2011Chen 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 - 11

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2011Montgomery 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 - 10Web of Science - 4

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2011Moser 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 - 5Web of Science - 5

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2011Reid 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]

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2011Chen 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 - 12Web of Science - 7

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2010Montgomery 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 - 11

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2010Montgomery 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 - 31

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2010Montgomery 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 - 3

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2009Montgomery 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

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2009Montgomery 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 - 14Web of Science - 11

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2007Montgomery 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 - 1Web of Science - 6

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2006Montgomery 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]

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2006Montgomery 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 - 9Web of Science - 8

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2005Montgomery 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 - 4Web of Science - 3

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2004Montgomery 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 - 7Web of Science - 5

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2003Montgomery 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]

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2003Montgomery 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 - 11Web of Science - 10

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2002Montgomery 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]

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2002Randall 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]

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2001Randall 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]

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2000Meling 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

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Thesis

(1 outputs)
YearCitationAltmetrics
2005Montgomery EJ, 'Solution biases and pheromone representation selection in ant colony optimisation' (2005) [PhD]

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Other Public Output

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

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

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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 Tasmanian Institute of Agriculture 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

1

Total funding

$517,313

Projects

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:

  • 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
  • Ecoacoustics data processing
  • Expanding the scope of the Protocols and Structures for Inference machine learning API

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

5

Current

DegreeTitleCommenced
PhDA Privacy-based Mechanism for Users' Data Anonymization Across Multiple Online Social Networks2015
PhDA Scalable Machine Learning Approach for Investigating Real Time Big Data Sets of Bioacoustics2016
PhDA Scalable Platform for Efficient Resource Management in Fog Environments2017
PhDReal-Time Preprocessing Techniques for Streaming Bioacoustics Data2017
PhDRisk Prediction in Electronic Health Records Using Natural Language Processing2018