I’m a PhD researcher at Chalmers University of Technology, working at the intersection of trustworthy AI, explainable machine learning, and communication systems. My research focuses on building robust, interpretable models for intelligent network management, with an emphasis on real-world reliability and generalization.
Before joining Chalmers, I worked as an AI Researcher at STMicroelectronics, where I developed quantization-aware and memory-efficient neural networks for edge AI applications. This experience deepened my interest in scalable and efficient ML for safety-critical systems.
I hold an MSc in Telecommunication Engineering from Politecnico di Milano, where I specialized in signal processing, statistical learning, and AI foundations.
- Trustworthy & Explainable AI (XAI)
- Domain Adaptation, Generalization and Representation Learning
- Robust ML for Communication & Networked Systems
- Edge AI
- I’m always open to research collaborations, technical discussions, and academic exchange in these areas.
📫 Connect with me on LinkedIn or reach out via email
- ⚡ Fun fact: I’m passionate about bridging the gap between black-box models and human understanding.
Deep Learning: TensorFlow, PyTorch, scikit-learn
XAI Tools: SHAP, LIME, GradCAM
Data Science: Pandas, NumPy, Matplotlib, PySpark
Others: OpenCV, Scipy, statmodels
- Published in MDPI Electronics Journal, October 2024
- Published in IEEE Xplore, proceedings of the 8th International Conference on Research and Technologies for Society and Industry (IEEE RTSI 2024)
- Accepted at STMicroelectronics TechWeek 2024 internal conference and proposed as an innovative MEMS calibration solution
- Poster presentation at the 4th National Conference on Contemporary Issues in Computer Information and Science (CICIS2019)
- Built a real-time vehicle detection and counting system using YOLOv8 and BYTETrack.
- Focused on smart transportation systems and high-density environments.
- Developed ML models to detect signal anomalies in optical transponders using constellation diagrams.
- Conducted a comparative study on classifiers for biomedical image analysis using XAI techniques like GradCAM and SHAP.
- Analyzed KPIs for 20 companies to optimize e-marketing strategies, a project proposed by Google Italy.
Polytechnic University of Milan
- Specialization: Signals and Data Analysis
- Thesis: Continuous IMU-MEMS Self-Calibration Process by Means of Tiny Neural Networks
Kharazmi University of Tehran
- Thesis: Automatic Architecture Design of CNNs using Genetic Algorithm and Reinforcement Learning (MetaQNN)
- Member of PoliMi Data Science Association.
- Executive Staff at CICIS 2019 national conference.