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

• Expanding Knowledge (9701)
• Fisheries - Aquaculture (8301)
• Flora, Fauna and Biodiversity (9608)

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.
• Glassen T, Oertzen T and Konovalov D (2018) Finding the mean in a partition distribution. BMC Bioinformatics, 19.
• 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
• 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). pp. 25-36
• White R, Cocks D, Boyle G, Casey M, Garland N, Konovalov D, Philippa B, Stokes P, de Urquijo J, González-Magaña O, McEachran R, Buckman S, Brunger M, Garcia G, Dujko S and Petrovic Z (2018) Electron transport in biomolecular gaseous and liquid systems: theory, experiment and self-consistent cross-sections. Plasma Sources Science and Technology, 27 (5).
• Konovalov D, Cocks D and White R (2017) Unified solution of the Boltzmann equation for electron and ion velocity distribution functions and transport coefficients in weakly ionized plasmas. The European Physical Journal D, 71.
• Do T, Duque H, Lopes M, Konovalov D, White R, Brunger M and Jones D (2015) Differential cross sections for electron-impact vibrational-excitation of tetrahydrofuran at intermediate impact energies. Journal of Chemical Physics, 142. pp. 1-7
• Duque H, Do T, Lopes M, Konovalov D, White R, Brunger M and Jones B (2015) The role of electron-impact vibrational excitation in electron transport through gaseous tetrahydrofuran. Journal of Chemical Physics, 142. pp. 1-7

Conference Papers

• 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
• Konovalov D, Domingos J, Bajema C, White R and Jerry D (2017) Ruler detection for automatic scaling of fish images. Proceedings of the International Conference on Advances in Image Processing. In: ICAIP 2017: International Conference on Advances in Image Processing, 25-27 August 2017, Bangkok, Thailand

More

ResearchOnline@JCU stores 29+ 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

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

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.