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)