Dmitry Konovalov received his Ph.D in Theoretical Atomic Physics from the Flinders University of South Australia in 1992. He worked in Telecommunication and Banking industries until 2002, when he joined James Cook University. 

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

Teaching

• CP2013: Software Engineering (Level 2; TSV)
• CP2406: Programming III (Level 2; TSV)
• CP2410: Algorithms and Data Structures (Level 2; TSV)
• CP3047: Project Management 2 (Level 3; 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)
• 1992 to 1995 - Postdoctoral Fellow, Flinders University of South Australia (Adelaide)

Research Disciplines

• Atomic, Molecular, Nuclear, Particle and Plasma Physics (0202)
• Artificial Intelligence and Image Processing (0801)
• Computation Theory and Mathematics (0802)

Socio-Economic Objectives

• Expanding Knowledge (9701)
• Fisheries - Aquaculture (8301)
• Computer Software and Services (8902)

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

• 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
• Jones D, Jerry D, Forêt S, Konovalov D and Zenger K (2013) Genome-wide SNP validation and mantle tissue transcriptome analysis in the silver-lipped pearl oyster, Pinctada maxima. Marine Biotechnology, 15 (6). pp. 647-658
• Konovalov D, Fursa D and Bray I (2012) J-matrix calculation of electron-helium S-wave scattering: II single ionization and single excitation. Physical Review A (Atomic, Molecular and Optical Physics), 86 (5). pp. 1-7
• Konovalov D, Fursa D and Bray I (2011) J-matrix calculation of electron-helium S-wave scattering. Physical Review A (Atomic, Molecular and Optical Physics), 84 (3). pp. 1-10
• Konovalov D and Bray I (2010) Calculation of electron-impact ionization using the J-matrix method. Physical Review A (Atomic, Molecular and Optical Physics), 82 (2). pp. 1-8

Conference Papers

• 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 25+ 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.