Machine Learning

eXplainable AI (XAI)

Information Theory

Signal Processing

Data compression

Channel Coding

Digital Communications

Statistical Pattern Recognition

Video Coding

I am an Electrical Engineer specializing in communication systems, with expertise in digital communication, information theory, and signal processing. My research has focused on sparse signal modeling, source coding, data compression, channel coding, and the design of rateless codes with Unequal Error Protection (UEP) properties. In addition, I am a highly motivated Machine Learning Researcher with a strong passion for understanding the complex decision-making strategies of learning networks. My work involves developing and applying machine learning models to solve real-world problems. I am particularly interested in the emerging field of Explainable AI (XAI), as I believe that creating models that are both powerful and interpretable is essential for building trust and promoting the broader adoption of AI technologies. I have worked on explainable anomaly detection, developing an XAI strategy to ensure the safety and security of edge devices used in the robotics industry. Currently, I am contributing to the Horizon Europe MEDALS project, which focuses on researching the application of neural networks and other machine learning approaches to interpret sensor signals in the steel recycling industry. In particular, we are exploring machine learning methods applied to Laser-Induced Breakdown Spectroscopy (LIBS) and similar sensor technologies. Previously, I served as an Assistant Professor at Shahid Chamran University (SCU) of Ahvaz, where I was involved in teaching, student supervision, and academic research. I designed and taught various undergraduate and graduate courses in the Electrical and Computer Engineering departments. Undergraduate courses included Electromagnetics, Signals and Systems, Discrete Signal Processing, Communication Systems, Linear Algebra, and Probability and Statistics. At the graduate level, I taught Pattern Recognition, Machine Learning, Channel Coding, Information Theory, and Digital Communications. During my tenure at SCU, I supervised more than 20 graduate theses and participated in multiple collaborative research projects. I also founded the Information Theory and Machine Learning Lab (ITML) — a research hub that provided a collaborative environment for students and colleagues to pursue advanced projects in machine learning, information theory, and signal processing. Additionally, I played an active role in organizing academic conferences and working with researchers from other institutions.

Information theory

Machine learning

Statistical pattern recognition

Channel Coding

Digital communications

Signals and Systems

Electromagnetics

Linear algebra

Statistics and probability

Random processes

Electric circuits

Electronics

Digital design

Microcontrellers