Dr. Achraf Boumhidi is a highly regarded Software Engineer and researcher, specializing in Natural Language Processing (NLP), Sentiment Analysis, Opinion Mining, and Social Media Analytics. His primary research focus is the development of intelligent decision-making systems, particularly reputation generation systems that process and analyze user-generated content from social media platforms. With a Ph.D. in Computer Science, Dr. Boumhidi employs advanced machine learning algorithms, deep learning models, and statistical techniques to extract valuable insights from large-scale textual data, enhancing decision making processes in dynamic, real-world environments. Dr. Boumhidi has made significant contributions to the field through his work on multilingual reputation generation, fine-grained sentiment analysis, and deceptive review detection. His research aims to build systems that can understand and process complex opinions, detect nuanced sentiment shifts, and provide accurate reputation metrics in a variety of contexts, ranging from e-commerce platforms to online communities. Additionally, his work incorporates multi-modal data analysis and historical data mining techniques to develop systems capable of handling diverse, unstructured datasets and deriving meaningful insights. An experienced educator, Dr. Boumhidi has taught a wide array of courses, including Artificial Intelligence, Databases, and programming languages. Through his teaching, he strives to equip future engineers with both the theoretical foundations and practical skills needed to tackle modern challenges in AI and data science. His educational approach emphasizes the integration of cutting-edge AI technologies with real-world applications, preparing students to develop innovative solutions in fields such as opinion mining and reputation management. Dr. Boumhidi's academic contributions have been published in prestigious journals such as IEEE Access and presented at international conferences, further establishing his expertise in applying advanced AI and machine learning techniques to complex, real-world problems. His ongoing research focuses on improving data quality by better understanding the semantics and sentiment behind user-generated content, with a particular emphasis on filtering noise and detecting misinformation. Through his work, Dr. Boumhidi aims to advance the development of intelligent systems that support more accurate, data-driven decision-making processes across various domains.

Title of Talk : Leveraging Artificial Intelligence and Sentiment Analysis for Intelligent Reputation Systems