Maïssa R.
Electrical Engineer, National School of Engineers of Sfax (ENIS)
Experience
Mar 2025 - Jul 2025
5 monthsSmart Diagnostic and Online Monitoring Project
Leipzig University of Applied Sciences
- Developed a predictive maintenance system for photovoltaic inverters using an LSTM neural network implemented in Python (TensorFlow/Keras).
- Processed inverter time-series data with NumPy and Pandas, including resampling, normalization, and feature extraction.
- Designed automated scripts for online prediction and fault detection integrated into a simulated IoT environment.
- Conducted model training and evaluation using GPU acceleration in Google Colab, achieving improved MAE and RMSE scores.
- Visualized and analyzed system performance through real-time dashboards using Matplotlib and Seaborn.
Jul 2024 - Jul 2024
1 monthTechnician Intern
Center for Research in Microelectronics and Nanotechnology
- Designed and implemented a machine learning pipeline for semantic image segmentation using Python, TensorFlow, and OpenCV.
- Collected and preprocessed large-scale image datasets using NumPy, Pandas, and Scikit-learn.
- Developed and trained deep learning models on Kaggle Notebooks with GPU acceleration.
Jan 2024 - Dec 2025
2 yearsSolar Energy Prediction and Control Interface
ENIS
- Designed a two-layer framework combining LabVIEW for real-time data acquisition/control and Python (Jupyter) for advanced prediction.
- Implemented a linear regression model to forecast power output from irradiance, temperature, voltage, and current readings.
- Developed a custom Python GUI integrating database access, predicted value visualization, and direct control of LabVIEW modules.
- Used MQTT, Modbus, and TCP/IP protocols to synchronize sensors, microcontrollers, and the control interface.
- Enabled preventive control and efficiency improvement through real-time feedback and anomaly detection.
- Designed a scalable architecture suitable for low-resource embedded systems.
Jul 2023 - Jul 2023
1 monthInitiation Intern
Tunisian Company of Electricity and Gas
- Studied electrical network architecture and safety systems in power generation environments.
- Worked on sensor-based data acquisition using thermocouples, current transformers, and multi-meters.
- Assisted in the configuration of HMI panels and PLC communication using TIA Portal.
EEG Signal Processing and Classification
- Processed EEG signals using FIR/IIR filters and deep learning (CNN) models to classify brain states and visualize cognitive patterns.
Electronic Lock System
- Created a secure digital access control system in VHDL with keypad and LCD interface.
- Simulated the system in ModelSim.
Fatigue Detection System
- Developed a real-time fatigue monitoring system using facial landmark detection and computer vision algorithms.
- Integrated EAR, MAR, and head-tilt metrics to trigger alert notifications.
Obstacle Avoidance Robot
- Designed and implemented a low-cost autonomous robot using ultrasonic sensors, DC motors, and Arduino Uno.
- Programmed real-time control algorithms for obstacle detection and navigation.
SHA-256 Hardware Module
- Implemented a hardware-based cryptographic hashing unit optimized for security and high-speed performance on FPGA boards.
Summary
Electrical Engineering Graduate with international experience in embedded systems, data-driven modeling, and artificial intelligence integration.
Skilled in real-time monitoring, renewable energy systems, and control algorithm development.
Motivated to apply advanced engineering solutions to industrial and IoT applications.
Languages
Arabic
NativeEnglish
AdvancedFrench
AdvancedGerman
ElementaryEducation
Oct 2023 - Jun 2025
National Engineering School of Sfax
Master’s Degree · Embedded Systems · Sfax, Tunisia
Oct 2022 - Jun 2025
National Engineering School of Sfax
Bachelor’s Cycle · Electrical Engineering · Sfax, Tunisia
Oct 2019 - Jun 2019
Zeramdine High School
Technical Baccalaureate · Zaramidin, Tunisia
...and 1 more
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