Anglais
Majdi RICHA
chargé de cours
Institut national des télécommunications et de l'informatique
+961 (1) 421 000 majdi.richa@usj.edu.lb
Embedded systems architect with extensive experience in all phases of product development from conceptual stages to production release.
I have worked in the automotive industry R&D for two years then moved to ATE at a startup company MultiLane SAL ( ATC-VLSI) for 6 years. When ATC-VLSI was acquired by a US based corporation IPG Photonics, I switched to the telecom industry early 2012. I am also a lecturer at Saint Joseph University since 2006.
I have contributed in projects located in Lebanon, Germany, China, USA, Russia and Italy for renowned companies like Genesis Microchip, NVIDIA, CISCO Systems, LeCroy, Timbercon, Vitesse and IPG Photonics.
I am also a freelance consultant with a handful of successful projects mainly in machinery, robotics and automation.
I am currently an embedded systems consultant engineer at BSS.
Education
| Diplôme | Université | Pays | Année |
|---|---|---|---|
| Master | 2004 | ||
| Licence | 2002 | ||
| Doctorat - Electronique |
Expérience professionnelle hors USJ
| Expérience professionnelle | Organisation | Date début | Date fin |
|---|---|---|---|
| Embedded software engineering | Methode Electronics, Inc | 2003-08-01 | 2005-08-31 |
| Embedded Systems Architect | Multilane SAL | 2006-02-01 | 2011-10-31 |
| Senior Embedded Systems Engineer | IPG Photonics Corp. | 2012-03-01 | 2022-11-30 |
| Embedded Systems Consultant | Beyond Silicon Solutions | 2022-12-01 |
Domaine d’expertise
Ingénierie et technologie; Sciences
Thématiques de recherche
Power Consumption Modeling in Embedded Systems Hardware, research done at the "Institute of Electronics Digital Technologies" (IETR) lab. Rennes - France
Publications et communications
- Automated Training Data Construction using Measurements for High-Level Learning-Based FPGA Power Modeling
- High-Level Online Power Monitoring of FPGA IP Based on Machine Learning
- High-Level Early Power Estimation of FPGA IP Based on Machine Learning
- High-level power estimation techniques in embedded systems hardware: an overview
- An Automated Centralized Data Generation Acquisition System
Prix et distinctions
‘Alma Maalouf’ Award for the best senior project