Dahe Gu
Space Safety Regulation Officer at Defence Australia
Based in Melbourne, Australia
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Seniority
Staff
Department
Other
Location
Melbourne
Industry
Defense and Space Manufacturing
Company size
14K
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Background
About Dahe Gu
Current AU military space & aviation regulator. Scientist specialises in the development of novel, unique, complex & world-leading quantitative laser-optical techs, incl. both Hardware (HW) & Software (SW). During Ph.D: • Developed the world's most advanced laser-optical techs (i.e. Two-Line Atomic Fluorescence (TLAF) & Laser-Induced Incandescence (LII)) for 2D, non-intrusive, in-situ, instantaneous (~30ns) & simultaneous flame temperature soot volume fraction (several parts per million) & primary soot particle size (5-100nm) measurements in challenging combustion environments • Published 11 research papers in world-leading journals w/ 366 citations • Delivered 7 presentations at world-leading conferences, e.g. invited speaker @ Gordon Research Seminar (USA) • Ph.D. trained at a global top 5 laser-optical lab (only AU lab) Strong interest in novel AI- & advanced sensor-enabled techs that involve sensor & data fusion, multi-object detection & tracking, complex behavior assessment. • Developed a novel bioacoustics AI technique for wildlife preservation. Collaborated & published 1 research paper in world-leading journal w/ zoologist @ Oxford U (UK) • 1 PCT patent (pending) HW & SW experiences • HW: Class 4 lasers, optics, advanced sensors (e.g. intensified CCD (ICCD) camera, spectrometer, photomultiplier tube); sensor calibration & characterisation (e.g. spectral & temporal responses; spatial profile; extrinsic, intrinsic & distortion parameters; reprojection error); temporal sync (~5ns) • SW: sensor calibration; data fusion between multiple & different types of sensors (e.g. pixel-level stitching); complex & multi-stream image processing (e.g. 2D temperature imaging, object detection & classification, object geometry analysis); statistical analysis (e.g. parameter correlations in multidimensional data) • SYSTEM: signal-to-noise/-interference ratio evaluation & enhancement using various means; uncertainty analysis (i.e. precision & accuracy for individual components & integrated systems); system integration & optimisation • DEVELOPMENT PHASEs: concept, system design, prototype, verification & validation, system integration, optimisation & characterisation • Validated & compared developed techs against independent & competing techs Comprehensive experience & knowledge in aviation, incl. Govt. policy / priority / roadmap; industry problem & user need; aviation safety occurrence; product certification. Strong & long-term passion for aviation, incl. 60 hrs (powered aircraft) & 30 hrs (glider) flying time as a student pilot.
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