Charles Constant

Contact: Email / Linekdin

Education

PhD. Space Flight Dyanmics and Geodesy || University College London Sep 2022 - Ongoing

• Research areas: High fidelity solar radiation pressure and aerodynamic drag modelling for spacecraft.

MSc(Hons.). Envrionmental Data Science and Machine Learning || Imperial College London Sep 2021 - Sep 2022

• Dissertation: High fidelity aerodynamic drag modelling for satellite mega constellations.

BEng(Dist). Civil Engineering || University College London Sep 2018 - May 2021

• Dissertation: Using convolutional neural nets to monitor health and safety inductions on site (awarded departmental scholarship award).
• Activities:
  • Undergraduate teaching assistant (marking)
  • Set up an online portfolio and database for 1st year students
  • Design Engineer @ Project Impactive

BSc(Hons.) Physical Geography || University of Reading Sep 2015 - May 2018

• Dissertation: Quantifying the effect of green environments on stress in humans using remote sensing.

Technical Experience

Undergraduate Researcher in Applied Machine Learning || UCL Civil Environmental and Geomatic Engineering Jul 2021 - Aug 2021

• Awarded summer research grant at the end of my dissertation to present at a conference and attempt to publish a paper.

Team lead and Attitude and Orbit Control Engineer || UCL Satellite Design Competiton team Jul 2020 - Aug 2021

• Leading the design of a lunar cubesat by UCL students to compete in the SSPI/Airbus CubeSat design competition.
• Design and prototyping of a 3U CubeSat.

Undergraduate Researcher in Astrodynamics || UCL Space Geodesy and Navigation Laboratory Jun 2020 - Oct 2020

• Computer modelling of satellite orbits in partnership with NASA JPL
• Developed a series of numerical and analytical orbit characterisation scripts in Python
• Used models and their outputs to inform direction of the research team

Assistant surveyor || Murphy Geospatial Aug 2019 - Sept 2020

• Independently performed topographical surveys, setting out, levelling, laser scanning, as-built surveys.

Hydropower Engineering Intern || Hallidays Hydropower Nov 2017 - Jan 2018

• Improved turbine efficiency by developing optimization curves using
• Lead the write-up of a feasibility study for a 35kW Archimedes screw

Skills

Software:

• Data Science/Machine Learning: Python (Keras, Scickit-learn, TensorFlow, SciPy, NumPy, Matplotlib), C++, C, Matlab
• Engineering/Earth Sciences: Revit, ArcGIS, ERDAS, AutoCAD, Fusion360, ANSYS

Languages:

• French/English (Native)
• German (B1)
• Italian (Conversational)

Professional Certification:

• Construction Skills Certification Scheme
• CITB Health and Safety Awareness Certificate

Sport

Cycling:

Raced at a National level from 2014 to 2017 in France, Italy, UK

Triathlon:

Competed in two Ironman 70.3 events (2014 and 2018)