About

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)
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
More

ResearchOnline@JCU stores 29+ 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.

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 Science, Information, Technology and Innovation - Advance Queensland Knowledge Transfer Partnerships - Contract Research

Applying Artificial Intelligence to Business Management Advice

Indicative Funding
$10,800
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

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)
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
Share my profile
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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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