Marc Berneman
PhD student at Technion Institue of Technology 🎓
Electrical, modeling, and control engineer ⚡ Nuclear engineer ☢️
Download my CV! 📃
PhD student at Technion Institue of Technology 🎓
Electrical, modeling, and control engineer ⚡ Nuclear engineer ☢️
Download my CV! 📃
Dynamics and training of disordered solids.
Machine learning and big data for disinformation monitoring. I gained experience in Linux, Docker, BERT machine learning models for natural language processing and much more.
I was given a lot of freedom during this internship. Thanks to the help of my supervisor, I was able to design good experiments that gave me very clear results. Most of all I learned that an experiment needs to focus on 1 thing you want to investigate and that it is important to gather all the possible data, even if some of the data seem to be unnecessary at first.
Cum Laude
Summa Cum Laude
Magna Cum Laude
Do, T., Berneman, M., Patro, J., Bekoulis, G., & Deligiannis, N. (2021). Context-Aware Deep Markov Random Fields for Fake News Detection. IEEE Access, 1-1. Publication link
Berneman Marc, Pintelon Rik, & Lataire John (2021). A Frequency Domain Approach to Model Reference Control. IFAC-PapersOnLine, 54(7), 216-221. Publication link
Ambrosino, M., Berneman, M., Carbone, G., Crépin, R., Dawans, A., & Garone, E. (2020). Modeling and Control of 5-DoF Boom Crane. In Proceedings of the 37th International Symposium on Automation and Robotics in Construction (ISARC) (pp. 514-521). International Association for Automation and Robotics in Construction (IAARC). Publication link
The Poisson distribution and nuclear counting statistics
BJT transistor biasing as a switch (video)