Mouloud IFERROUDJENE

Introduction

As an industrial PhD candidate at EMSE and a R&D scientific researcher at Courbon Software, I apply my passion and expertise in data science, artificial intelligence, and cybersecurity to develop innovative solutions for industrial and business challenges. I work with a multidisciplinary team of engineers, researchers, and industry partners to design, implement, and evaluate novel methods and systems for data mining, knowledge graph embedding, and recommender systems. In addition to my professional experience, I have a strong academic background in computer science, with a Master 2 in computer engineering from ESI and multiple certifications from Cisco and Coursera. I have also published a paper in a prestigious workshop on neural-symbolic learning and reasoning, where I introduced a new dataset for knowledge graph embedding models. I am an autodidact, curious, and rigorous learner, always ready to take on new challenges and pursue my goals of building smarter and more efficient systems.

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