As a postdoc researcher, I led research in computer vision algorithms and neural network architectures for object detection, image processing, classification, and smart sensing within point-of-care (POC) devices. My goal is to seamlessly integrate these technologies to deliver comprehensive solutions that empower POC devices with sophisticated analytical capabilities, advancing the field of healthcare diagnostics. During my PhD studies within the Department of Naval, Electrical, Electronic, and Telecommunications Engineering (DITEN) at University of Genoa, I have focused on Intelligent Electronic Systems, tactile sensing systems, sensorized robotic grippers, E-skin, restoration of the sense of touch, and Electrotactile Stimulation. My research interests encompass Artificial Intelligence, Embedded Machine and Deep Learning, Computer Vision, Edge Computing, Object Detection, computer vision systems, and tactile sensing systems.
Title: PhD in Electronics and Telecommunications Engineering
Institute: University of Genova
Location: Genova
Country: Italy
From: 2019 To: 2022
Title: Master of Science in Biomedical Engineering
Institute: Lebanese International University
Location: Beirut
Country: Lebanon
From: 2017 To: 2019
Title: Bachelor of Science in Electronics Engineering/Emphasis Biomedical Engineering
Institute: Lebanese International University
Location: Beirut
Country: Lebanon
From: 2014 To: 2017
Programming skills:
- Python: TensorFlow, Keras, Scikit-learn, NumPy, Pandas, OpenCV, Matplotlib, Seaborn
- Deep Learning & Computer Vision: YOLOv4, YOLOv8, CNNs, ResNet, MobileNet
- Machine Learning: Random Forest, SVM, k-NN, Decision Trees, Logistic Regression
Embedded Systems & Edge AI
- Languages: C, C++
- Microcontrollers: STM32 (Nucleo H745ZI-Q), ARM Cortex-M
- TinyML & Model Optimization: X-Cube-AI, Memory Caching, Quantization
- Low-Latency ML Deployment: Real-time inference, energy-efficient classification
Databases & Networking: : MySQL, SQLite, Flask, C#
Software tools: PyCharm, STM32 Cube IDE, MATLAB, LabView, Circuit Design (Proteus), Fusion 360, Pspice
