About

I am currently focusing on Deep Learning AI applications to Australian industries.

2022: 2nd place finish in NASA-sponsored Mars Spectrometry 2: Gas Chromatography Challenge: https://drivendata.co/blog/mars-2-gcms-challenge-winners

Teaching
  • BU3102: Multidisciplinary Project (Level 3; TSV)
  • CP2406: Programming III (Level 2; TSV)
  • CP2410: Algorithms and Data Structures (Level 2; TSV)
  • CP3102: Multidisciplinary Project (Level 3; TSV)
  • CP3403: Data Mining (Level 3; CNS & TSV)
  • CP3406: Mobile Computing (Level 3; TSV)
  • CP3407: Advanced Software Engineering (Level 3; TSV)
  • CP5047: ICT Project 2: Implementation and Commissioning (Level 5; CNS & TSV)
  • CP5307: Advanced Mobile Technology (Level 5; TSV)
  • CP5634: Data Mining (Level 5; CNS & TSV)
Interests
Professional
  • 2022: Kaggle Competitions Expert https://www.kaggle.com/dmitrykonovalov
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
Socio-Economic Objectives
Publications

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
Conference Papers
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ResearchOnline@JCU stores 42+ research outputs authored by Dr Dmitry Konovalov from 2004 onwards.

Current Funding

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

Great Barrier Reef Foundation - Reef Trust Partnership

Integrated reef fish monitoring - Nursery Seascapes

Indicative Funding
$102,345 over 2 years (administered by Australian Institute of Marine Science)
Summary
A 2 year monitoring program to understand the abundance, diversity, and assemblage composition of Great Barrier Reef Fishes. Within this program, JCU Marine Data Tech will be working with project partners conducting bi-annual surveys of reef fishes in nursery seascapes in the central GBR. Data will be collected using stereo Remote Underwater Video Systems and processed using Artificial Intelligence computing.
Investigators
Michael Bradley, Dmitry Konovalov and Marcus Sheaves (College of Science & Engineering)
Keywords
Reef Fish; Seascape; Great Barrier Reef; Fisheries; Monitoring; Nursery grounds

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
Supervision

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.

Completed
Collaboration

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
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jcu.me/dmitry.konovalov

Email
Phone
Location
  • 17.047, Faculty of Science & Engineering (Townsville campus)
Advisory Accreditation
Primary Advisor
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