Personal details

Dr Dmitry Bratanov
Senior Research Engineer
Academic Division,
Research Portfolio,
Office of the PVC, Research Infrastructure
Discipline *
Artificial Intelligence and Image Processing, Electrical and Electronic Engineering
+61 7 3138 9814
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Identifiers and profiles

PhD in Engineering

* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008


Dr Dmitry Bratanov joined QUT in 2013 as a Research Engineer at Australian Research Centre for Aerospace Automation (ARCAA) working on a computer vision detect and avoid system (DAA) within Project ResQu. Dmitry’s interests are in integrated INS/GPS/vision based solutions, 4-dimensional UAS navigation, geospatial analysis and environment identification. Dmitry holds BEng (Hons), MEng (Avionics) and PhD in navigation and control systems from the Bauman Moscow State Technical University.

Prior to QUT Dr Bratanov worked at Bavarian Academy of Sciences, Munich on the high-precision GNSS airborne gravimetry, and at Russian avionics leaders in accordance with DO-178B/C Level A.

In the Project ResQu Dmitry contributed to the improvements of DAA system and conducted the important sensitivity analysis of INS accuracy on DAA system key performance metrics. The outcomes of the analysis set a path to the system cost reduction on 5-7 times, that made a good business case for the DAA system commercialization.

Dr Bratanov lectured for ENB457, ENB354 at QUT on Software Engineering in Airborne Systems and Functional Safety. He is supervising work integrated learning students projects on airborne data visualisation using high-performance computing (HPC) of QUT’s Innovation Lab.

In 2015 Dmitry joint QUT Flight Operations team and holds CASA’s UAV Controller Certificate. He is responsible for the aircraft flight control, navigation, sensor integration, hyperspectral/multispectral/ultra HD datacollection and geospatial analysis. Over the last two years the team conducted over 70 missions for global leaders in aerospace, innovation and remote sensing including Boeing, Chevron, Australian Institute for Marine Science, PBCRC, Energex and many others.

Dmitry actively participate in numerous STEM focused activities including: QUT Robotronica, UAV Challenge Medical Express, Aviation Career Expo, QUT/ARCAA’s open days, Avalon Air show, demos for board of PBCRC, investors and entrepreneurs.

This information has been contributed by Dr Dmitry Bratanov.


2016-2014: Lecturering at QUT on Software Engineering in Airborne Systems and Functioanl Safety for ENB354 unit

Work Integrated Learning supervision: Airborne Data Visualization on HPC, Joshua Romero

2012: Training assistant in aeronautical publications data maintenance, Airservices Australia, Canberra

2011: Lecturer of Global Navigation Satellite Systems and Modern Avionics, (5th year), BMSTU, Moscow. Student eveluation: overal average score 4.7 out of 5.0.

Laboratory supervision for postgraduates students, BMSTU, 2009-2011.

Project supervision on “Design of dual axis gimbal for electro optical sensor for mini UAV”, Yulia Sizova, BMSTU, 2010

MIEA internship supervision of 2 postgraduate students from Moscow Aviation University, 2010

2010: Lecturer of Automatic Flight Control System (4th year), BMSTU Undergraduate project supervision, “Quadcopter: 3D model, flight dynamics model, sensors trade study and analysis”, Rostislav Hapilov, BMSTU

This information has been contributed by Dr Dmitry Bratanov.


QUT Flight Operations Team

PBCRC 2135: Evaluating the effectiveness of UAS, hyperspectral, multispectral and high resolution RGB sensors at detecting Phylloxera in vineyards

Design-Reference model for Integrated Flight Control System for MC-21 airliner

Detect and Avoid System for Insitu ScanEagle UAV (Project ResQu)

Keywords: Unmanned Aerial Systems, Navigation and Control, 4D Navigation, INS/GPS fusion,  Functional Safety, Avinics, DO-178C, Remote Sensing, Image based 3D reconstruction; Hyperspectral Imaging and Orthorectification

This information has been contributed by Dr Dmitry Bratanov.


For publications by this staff member, visit QUT ePrints, the University's research repository.