Mohamad EL AHMAD - WIZBII Mohamad EL AHMAD has published his/her professional profile on WIZBII. M E

Mohamad EL AHMAD

Ph.D-Engineer in CS searching for a new opportunity

35years • Montpellier

Summary

Computer Science and Microelectronics Doctor-Engineer with a variety of experience and knowledge in the area of Multiprocessor System-On-Chip, Low Power Design, FPGA & Embedded Systems. Especially interested in the development of Embedded Self-adaptive approaches (Monitoring, Predicting and Acting), Power & Thermal Management of MPSoC. • A widespread knowledge and experience in the area of Artificial Intelligence and Data Mining, Telecommunication, Digital Signal Processing, and Communication Systems. Therefore, I am actively looking for an opportunity to join a Research and Development team.

Skills

FPGAVHDLRTL CodingPlace And RouteTcl FlowXilinxSpartanARM-FPGAZYNQMicro-processorEmbedded SystemEmbedded LinuxARM Based ProcessorC#PythonshellrVerilogISEVivadoHLSSDSoCModelsimQuartusmatlabsimulinkData MiningNeural NetworkK-meanPrediction

Experiences

PHD Researcher

10-2015 - NowInfra / Networks / TelecomNowadays, Power Consumption is one of the main limitations of embedded systems. Dynamic Thermal and Power Management methods require an auto-adaptive sub-system based on efficient monitoring techniques, valuable decision strategies to finally ensure an adequate decision to avoid the undesired states of the system. Successfully developed and established a lightweight Power and Temperature Monitoring Sub-System to set up efficient adaptation techniques such as DVFS, task mapping: • Effectively contributed to the creation of a specific RTL design flow in order to extract a database from the simulation at different levels of abstraction. • Created Power consumption model at gate level using internal signal activities (VCD) and at system level using the PMU performance events. • Successfully designed and implemented Ring Oscillators sub-system in VHDL to Monitor/Predict SoCs temperature on FPGAs. • Proposed thermal sensor’s placement, thermal Hotspot modeling/tracking. Thermal Monitoring and Adaptation techniques on modern MPSoC ARM-based processors: • Performed model for the on-chip Temperature and Power Consumption (robust against the external temperature variations). • Developed prediction technique to predict the future thermal state of the SoCs. • Applied and compared different online adaptation strategies For FPGAs & SoCs: Monitoring & Prediction, decision-making, acting. • Proposed Data Mining selection strategies to extract the relevant PMU performance events. • Comparing a set of data mining supervised techniques to identify relevant information that correlates with the power consumption & temperature. Data Mining & Machine Learning • Preprocess: Filtering feature. • Feature Selection: Searching and Evaluating - identifying relevant informations. • Classification: Neural Network. • Clustering: K-mean, Hierarchical, EM. • Forecasting/prediction: SES, Holt's linear, Exponential and Damped Trend methods.

Digital Design Engineer

03-2014 - 07-2014 Infra / Networks / TelecomA 6 months internship in Data mining techniques and methods for predicting of the consumption and temperature in the integrated systems (SoC) - On-chip Monitoring/Prediction of the Temperature and Power consumption. - Exploration and comparison of different data mining algorithm

Education & training

University Of Montpellier

2014 - 2017 Montpellier, HéraultIT development, Studies / Statistics / Data, Energy / Materials / Mechanics, Infra / Networks / Telecom

My soft skills

Communicating
Responsive
Analytical
Team player

Languages spoken

  • French

    Native language

  • English

    Professional

My Internet presence

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