معرفی
Ismaïl BADACHE is a faculty member at Aix-Marseille Université (AMU), specializing in information retrieval, social signals analysis, and natural language processing. He completed his PhD at Université de Toulouse Paul Sabatier in 2016 with research focused on social information retrieval. Currently, he is actively involved in multiple research projects including DREAM*U (Design your Path to Success at Aix-Marseille University) and AMPIRIC (Aix-Marseille Pôle d'Innovation de Recherche d'enseIgnement pour l'éduCation), which aim to enhance educational outcomes through technological innovation.
His educational background includes a PhD from Université de Toulouse Paul Sabatier, defended on February 5, 2016. His doctoral research was conducted at the Institut de Recherche en Informatique de Toulouse (IRIT) under the supervision of Professor Mohand BOUGHANEM. His thesis focused on "Social Information Retrieval: Exploitation of Social Signals to Improve IR," with keywords including Information retrieval, Social Networks, User generated content, Social Signals, Social properties, Time, and Diversity.
Dr. BADACHE's research interests center on the intersection of information retrieval, social media analysis, and natural language processing. He has made significant contributions to understanding how social signals can enhance search ranking algorithms, with particular expertise in contradiction detection in online reviews, sentiment analysis, and cross-lingual information retrieval (especially for Arabic language). His work explores temporal aspects of user interactions, emotional signals in social content, and how these factors can improve information retrieval systems. Much of his recent work focuses on educational applications of these technologies.
His scientific contributions have been recognized with a 2nd Best Paper award at the Francophone Knowledge Engineering Days (IC 2018). He has developed several practical tools including Arabic Sentiment Analysis, Emotion Analysis, general Sentiment Analysis, and Social Count (a social data extractor from multiple networks).
As an educator, Dr. BADACHE teaches a diverse range of courses at AMU including AI and education, Information access techniques (SRI), Web programming, Database management systems, and Educational digital and media education. His teaching portfolio reflects his interdisciplinary expertise spanning computer science, information systems, and educational technology.
Dr. BADACHE is currently leading research efforts in two major initiatives: DREAM*U, which aims to improve student success at AMU through personalized educational pathways (running until 2029), and AMPIRIC, which focuses on innovative educational approaches using digital technologies (running until 2030). These projects demonstrate his commitment to applying information retrieval research to solve real-world educational challenges.
