Being a finalist at the International Science and Engineering Fair 2019 hosted by Intel in Phoenix, Arizona was an experience like no other. Every year, about 1800 students from all around the world compete at the Intel ISEF, being the world's largest pre-college science competition.
I am so honored to receive the following prizes:
Best of Category Award in the category of Embedded Systems
1st Award in the category of Embedded Systems
Special Award by the American Meteorological Society (2nd Award)
Plus, a cash prize of $1000,0 will be awarded to the Megina-Gymnasium Mayen (my high-school), as well as Jugend forscht (my national science fair).
Another award I received at the "Jugend forscht" national science competition was the Europe-Prize, including the opportunity to participate at the 30th European Union Contest for Young Scientists 2018 in Dublin, Ireland.
The whole event was an astonishing experience. Especially the opportunity to connect with other very interesting and talented people from all around the world made it absolutely unique. Also, I am honored to receive a Special Donated Prize, sponsored by the ESA.
In addition to the photos, you can watch a video report regarding the event right here: Report in German
At an internship at the Max Planck Institute for Nuclear Physics, I developed and operated a watt balance from the ground up. It is based on the LEGO watt balance, initiated by NIST. For further project details, visit my project page: GitHub project page
The outer frame construction milling of our MeginaSat Cubesat is in progress!
For a few months now, I am working on a compact weather measuring device. But that is only a minor aspect of the whole concept:As everybody knows, weather forecasts are not overwhelmingly accurate often times. Especially a reliable precipitation forecast is mandatory for the agricultural sector and, of course, the ordinary individual. For this reason, I am searching for the precipitation forecast error's origin and am trying to further minimize this error by putting it in perspective with known factors like temperature or wind-direction and -speed.In other words, the goal is to find relationships like "If the wind is blowing from NW and it is faster than 10 km/h, it is more likely that it will rain" (simplified scenario).You probably already guessed it - an artificial intelligence is best suited for crystallizing such patterns. By iterating over collected data, it can be trained and then be used to generate an enhanced weather forecast.But in order for a customer to use this system, it somehow needs to be conscious about how much it actually rained at the user's residency. For this reason, the WeatherNode is introduced: A tiny but powerful weather station that monitors the local weather and sends the data to a centralized server network, where the enhanced weather forecast will be calculated and eventually transmitted to the user. If you want to learn more about the current data acquisition system to investigate the feasibility of this concept, you can learn more on the Project Page.
Keep up the good work!
We just began 3D-printing some of the cubesat's fundamental frame parts:The reason for this is that we are able to develop a feeling for the composition as a whole of the parts before eventually milling them.
The Attitude Control System's phase 1: Detumbling works in theory:
Currently investigating the attitude control for the CubeSat using MatLab.. For more information, please visit the Github project page.