Dr Dmitry Konovalov ~ Senior Lecturer
College of Science & Engineering
- About
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- Teaching
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- CP2406: Programming III (Level 2; TSV)
- CP3101: Professional Internship (Level 3; TSV)
- CP3103: Independent Project (Level 3; TSV)
- CP3405: Design Thinking and Project Management (Level 3; TSV)
- CP3406: Mobile Computing (Level 3; CNS & TSV)
- CP5046: ICT Project 1: Analysis and Design (Level 5; CNS & TSV)
- CP5047: ICT Project 2: Implementation and Commissioning (Level 5; CNS & TSV)
- CP5307: Advanced Mobile Technology (Level 5; TSV)
- Interests
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- Research
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- Computer vision with Convolutional Neural Networks
- Application of Deep Learning AI to Northern Australia Beef Industry, Aquaculture, Australian Great Barrier Reef monitoring
- Experience
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- 2002 to present - Senior Lecturer, James Cook University (Townsville)
- Research Disciplines
- Socio-Economic Objectives
I am currently focusing on Deep Learning AI applications to Australian industries.
- Publications
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These are the most recent publications associated with this author. To see a detailed profile of all publications stored at JCU, visit ResearchOnline@JCU. Hover over Altmetrics badges to see social impact.
- Journal Articles
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- Dexter B, King R, Parisi A, Harrison S, Konovalov D and Downs N (2020) Keratinocyte skin cancer risks for working school teachers: scenarios and implications of the timing of scheduled duty periods in Queensland, Australia. Journal of Photochemistry and Photobiology B: Biology, 213, Article: 112046, DOI:10.1016/j.jphotobiol.2020.112046.
- Konovalov D, Swinhoe N, Efremova D, Birtles R, Kusetic M, Hillcoat S, Curnock M, Williams G and Sheaves M (2020) Automatic sorting of Dwarf Minke Whale underwater images. Information, 11 (4), Article: 200, DOI:10.3390/info11040200.
- Saleh A, Laradji I, Konovalov D, Bradley M, Vazquez D and Sheaves M (2020) A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis. Scientific Reports, 10, Article: 14671, DOI:10.1038/s41598-020-71639-x.
- Sheaves M, Bradley M, Herrera C, Mattone C, Lennard C, Sheaves J and Konovalov D (in press) Optimizing video sampling for juvenile fish surveys: using deep learning and evaluation of assumptions to produce critical fisheries parameters. Fish and Fisheries, , DOI:10.1111/faf.12501.
- Olsen A, Konovalov D, Philippa B, Ridd P, Wood J, Johns J, Banks W, Girgenti B, Kenny O, Whinney J, Calvert B, Rahimi Azghadi M and White R (2019) DeepWeeds: a multiclass weed species image dataset for deep learning. Scientific Reports, 9, Article: 2058, DOI:10.1038/s41598-018-38343-3.
- Glassen T, Oertzen T and Konovalov D (2018) Finding the mean in a partition distribution. BMC Bioinformatics, 19, Article: 375, DOI:10.1186/s12859-018-2359-z.
- Conference Papers
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- Efremova D, Sankupellay M and Konovalov D (2019) Data-efficient classification of birdcall through Convolutional Neural Networks transfer learning. Proceedings of the International Conference on Digital Image Computing. In: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia
- Konovalov D, Saleh A, Efremova D, Domingos J and Jerry D (2019) Automatic weight estimation of harvested fish from images. Proceedings of the International Conference on Digital Image Computing. In: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia
- Konovalov D, Saleh A, Bradley M, Sankupellay M, Marini S and Sheaves M (2019) Underwater fish detection with weak multi-domain supervision. Proceedings of the International Joint Conference on Neural Networks. In: 2019 IJCNN: International Joint Conference on Neural Networks, 14-19 July 2019, Budapest, Hungary
- Lapico A, Sankupellay M, Cianciullo L, Myers T, Konovalov D, Jerry D, Toole P, Jones D and Zenger K (2019) Using image processing to automatically measure pearl oyster size for selective breeding. Proceedings of the International Conference on Digital Image Computing. In: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia
- Wang J, Sankupellay M, Konovalov D, Towsey M and Roe P (2019) Social network analysis of an acoustic environment: the use of visualised data to characterise natural habitats. Proceedings of the International Conference on Digital Image Computing. In: DICTA 2019: International Conference on Digital Image Computing: Techniques and Applications, 2-4 December 2019, Perth, WA, Australia
- Konovalov D, Jahangard S and Schwarzkopf L (2018) In situ cane toad recognition. Proceedings of the International Conference on Digital Image Computing. In: DICTA 2018: Digital Image Computing: techniques and applications, 10-13 December 2018, Canberra, ACT, Australia
- More
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ResearchOnline@JCU stores 38+ research outputs authored by Dr Dmitry Konovalov from 2004 onwards.
- Current Funding
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Current and recent Research Funding to JCU is shown by funding source and project.
MAKO Tidal Turbines Pty Ltd - Contract Research
Barney Point Turbine Monitoring
- Indicative Funding
- $27,457
- Summary
- Monitoring surface video, underwater video, underwater acoustic and sidescan data streams using AI (January-April 2019) (including monthly regular reporting, final reporting and feasibility analysis), to assess whether the tidal turbine impacts fish and other aquatic organisms during its operations.
- Investigators
- Marcus Sheaves, Carlo Mattone and Dmitry Konovalov (College of Science & Engineering)
- Keywords
- Artificial Intelligence; Impact Assessment; Tidal turbine monitoring
QLD Department of Environment and Science - Advance Queensland Knowledge Transfer Partnerships - Contract Research
Applying Artificial Intelligence to Business Management Advice
- Indicative Funding
- $10,800 over 1 year
- Summary
- Develop methods of analysing large volumes of accounting data to provide valuable insights for business owners and actionable advice that will help them improve their business practices. Mentoring fee for guidance provided to Graduate Student employed by Calxa Pty Ltd.
- Investigators
- Dmitry Konovalov and Mick Devine (College of Science & Engineering and Calxa Pty Ltd)
- Keywords
- Artificial Intelligence; Expert Systems; Accounting
- Supervision
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Advisory Accreditation: I can be on your Advisory Panel as a Primary or Secondary Advisor.
These Higher Degree Research projects are either current or by students who have completed their studies within the past 5 years at JCU. Linked titles show theses available within ResearchOnline@JCU.
- Current
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- Smart Sensors, Low Cost Radio Network System and the Internet of Things to Improve Effluent Quality from Algal Waste Treatment Systems and Aquaculture (Masters , Secondary Advisor)
- Completed
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- Developing Deep Learning Methods For Aquaculture Applications (2020, Masters , Primary Advisor)
- Collaboration
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The map shows research collaborations by institution from the past 7 years.
Note: Map points are indicative of the countries or states that institutions are associated with.- 5+ collaborations
- 4 collaborations
- 3 collaborations
- 2 collaborations
- 1 collaboration
- Indicates the Tropics (Torrid Zone)
Connect with me
- Phone
- Location
- Advisory Accreditation
- Primary Advisor
- Find me on…
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My research areas
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