Head of AI for Marine Data Technology Hub at JCU.

He is currently focusing on Deep Learning AI applications to Australian industries.

Teaching

• CP2406: Programming III (Level 2; TSV)
• CP2410: Algorithms and Data Structures (Level 2; TSV)
• CP3101: Professional Internship (Level 3; TSV)
• CP3102: Multidisciplinary Project (Level 3; TSV)
• CP3103: Independent Project (Level 3; TSV)
• CP3406: Mobile Computing (Level 3; CNS & TSV)
• CP5046: ICT Project 1: Analysis and Design (Level 5; TSV)
• CP5047: ICT Project 2: Implementation and Commissioning (Level 5; TSV)
• CP5307: Advanced Mobile Technology (Level 5; TSV)

Interests

Research

• Computer vision with Convolutional Neural Networks
• Application of Deep Learning AI to Northern Australia Beef Industry, Aquaculture, Australian Great Barrier Reef monitoring

Experience

• 2002 to present - Senior Lecturer, James Cook University (Townsville)

Research Disciplines

• Artificial Intelligence and Image Processing (0801)
• Atomic, Molecular, Nuclear, Particle and Plasma Physics (0202)

Socio-Economic Objectives

• Flora, Fauna and Biodiversity (9608)
• Fisheries - Aquaculture (8301)

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

• 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.
• Konovalov D, Saleh A, Domingos J, White R and Jerry D (2018) Estimating mass of harvested Asian seabass Lates calcarifer from images. World Journal of Engineering and Technology, 6 (3), pp. 15-23, DOI:10.4236/wjet.2018.63B003.
• Konovalov D, Hillcoat S, Williams G, Birtles R, Gardiner N and Curnock M (2018) Individual minke whale recognition using deep learning convolutional neural networks. Journal of Geoscience and Environment Protection, 6 (5), Article: 84616, pp. 25-36, DOI:10.4236/gep.2018.65003.

Conference Papers

• 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
• Konovalov D, Domingos J, White R and Jerry D (2018) Automatic scaling of fish images. Proceedings of the 2nd International Conference on Advances in Image Processing. In: ICAIP 18: 2nd International Conference on Advances in Image Processing, 16-18 June 2018, Chengdu, China
• Sankupellay M and Konovalov D (2018) Bird call recognition using deep convolutional neural network, ResNet-50. Proceedings of the Australian Acoustical Society Conference. In: AAS2018: Acoustics 2018: hear to listen, 6-9 November 2018, Adelaide, SA, Australia

More

ResearchOnline@JCU stores 34+ research outputs authored by Dr Dmitry Konovalov from 2004 onwards.

Current and recent Research Funding to JCU is shown by funding source and project.

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

• 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

• Developing Deep Learning Methods For Aquaculture Applications (2020, Masters , Primary Advisor)

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.