Mohamed Fouda

Ecosystem Builder

2024

Head of Research

2022

Venture Partner

2019

Co-Founder and CPO

2020 - 2023

Buliging the next generation of AI accelerator chips using in-memory photonic computing.

Postdoctoral Researcher

2018 - 2019

Implementing an integrated photonic chip at 780nm/795nm for a miniaturized Rubidium-based active fast-light gyroscope and accelerometer.

Research Assistant

2011 - 2018

Conducting research in optical fiber sensor systems, nonlinear optics and nonlinear atomics. Researched projects include: 1. Fast light enhanced fiber optic rotation and strain sensor Analysis and implementation of a high-sensitivity gyroscope and strain sensor based on superluminal Brillouin laser in a fiber ring. 2. Light sources using nonlinear optical materials Fabrication of nanoantenna arrays using e-beam lithography for enhanced difference frequency generation in Lithium Niobate. 3. Light-atom interactions applications in nanolithography Design and analysis of a nanolithography system based on Bose-Einstein Condensates interferometry 4. Graphene applications Characterization of density gradient in single and multilayer graphene using a generalized Van der Pauw measurement technique. Fabrication and characterization of graphene nanoribbons for electrical interconnect and transistor fabrication.

Teaching and Research Assistant

2005 - 2011

-I have researched model predictive control and its applications in hybrid systems as a part of my master degree. I have implemented a model predictive controller for such systems using an Altera FPGA. The Hardware implementation solves a mixed-integer optimization problem in real-time to calculate the optimal control signal to apply. - Tutored classes in control theory, electronic circuit design and Matlab.

Course instructor

2008 - 2011

Instructor for summer courses on Matlab, Microcontroller programming and Hardware design using VHDL.

Research Assistant

2008 - 2010

Investigated the power consumption of digital circuits by analyzing the role of digital input transitions on the power consumption of different areas of the digital circuit. I have proposed a technique for accurate estimation of power consumption of both combinational and sequential logic circuits and identification of the digital circuit "hot spots" where the power consumption is maximum. Results of this research were published in recognized IEEE conferences.

Hardware Design Engineer

2007 - 2009

- Design of military-grade wired communication systems. - Hardware implementation using Xilinx FPGA. - Design of custom printed circuit boards for FPGA and wired communication systems. - Hardware system integration and testing.