Jerome Savary Email & Phone Number

Renens, Vd, Ch

Meyrin, Geneva, Switzerland

Lausanne, Vaud, Switzerland

- Master Thesis continuation for the RT-HIL system for the 4Q Robicon converter, implementing real-time communication and FPGA development- Embedded system design for the development of a new EPFL Master course, entitled “Lab in electrical energy systems”

Lausanne, Vaud, Switzerland

The 4Q Robicon is a bidirectional converter with a Cascaded H-Bridge (CHB) based topology, whose architecture is very promising for medium voltage (MV) high-bandwidth grid emulators. In this context, I developed a Real Time Hardware-in-the-loop (RT-HIL) system for the Robicon Converter.In particular: - Conceptualization of the RT-HIL system - Offline simulations for control development - Two embedded system designs - Real-time simulations using RT-Box (Plexim)

Lausanne, Vaud, Switzerland

Design, welding and testing of the sensor board PCB for the Bella Lui Rocket (including 4 barometers and 4 IMUs, using I2C communication)

Lausanne, Vaud, Switzerland

As an electrical engineer and PCB designer intern, my task was to develop an electrical speed controller (ESC) for BLDC motors, and operating it using Field-Oriented Control (FOC).

Switzerland

Individual school support in mathematics, physics, chemistry, programming and electronics of different levels (from Primary school to Bachelor level), for around 60 students.

Lausanne, Vaud, Switzerland

Teaching assistant for many Bachelor courses at EPFL, including: - Electrical system and Electronic 1 and 2 (Life Science section) - Electronic Practical (Electrical section) - Programming in C (micro-engineering section) - Linear Algebra (civil engineering section) - Analysis 1 and 4 (mechanical and micro-engineering section)

Lausanne, Vaud, Switzerland

Supervised learning approach to study neural adaptation in locomotion (G-LAB UPCOURTINE, CHUV): - Translation from realistic spiking abstraction of biological spinal circuits into an Artificial Neural Network (ANN)- Demonstration of spontaneous emergence of biologically realistic behaviors in hidden layers under network constraints- Participation in the paper redaction

Lausanne, Vaud, Switzerland

Phase Unwrapping using Deep Machine Learning (Biomedical Imaging Group):- Residual Neural Network (ResNet) development

Master Of Science - Ms, Robotics, Mechatronics And Electronics, 5.45/6

With a minor in computational neuroscience

Bachelor Of Science - Bs, Microengineering, 4.92/6