AMID, TIAD and FST Beni Mellal organize the 8th edition of the International Conference on Business Intelligence CBI'23. This event is a forum for researchers, practitioners and educators to present and discus the most recent innovations, trends, experiences and issues in the field of Business Intelligence. The Conference will be held in Istanbul, Turkey. We welcome you to Istanbul city to experience the nature, history, and cultural.
KEYNOTE / INVITED SPEAKERS
Professor El Mustapha Mouaddib
El Mustapha Mouaddib received the Ph.D. degree in robotics and the Habilitation degree from the University of Picardy Jules Verne, Amiens, France, in 1991 and 1999, respectively.,Since 2001, he has been a Full Professor with the University of Picardy Jules Verne. Since 1995, he has been the Head of the Perception on robotics group, where he is involved in research projects on omnidirectional vision and structured light. Since 2010, he has been the Manager of a big research program about building and using a virtual three-dimensional model of Cathedral of Amiens. His main research interests include computer vision and artificial perception for mobile robotics.,Prof. Mouaddib has been an Associate Editor for the IEEE International Conference on Robotics and Automation and IEEE International Conference on Intelligent Robots and Systems and an Associate Editor for the IEEE Robotics and Automation Letters journal (2015–2018).
Talk Title: Autonomous exploration and topological mapping in unknown environments
Professor Lee Chei Sian
Dr. Lee Chei Sian is currently an Associate Professor at the Wee Kim Wee School of Communication and Information at the Nanyang Technological University in Singapore, where she is also the Associate Chair (Faculty). She is actively involved in research on issues related to everyday user-information interaction at work, school or play. Specifically, her research focuses on how digital and emerging technologies can be designed to facilitate everyday user-information exchanges and be used to change social behaviors, benefit communities, and create social good. She has been involved in several funded projects in varying capacities as principal investigator, co-investigator and collaborator. More recently, she has been investigating the deepfakes phenomena from an information-oriented perspective. Her work has been widely published in international journals including Journal of Educational Computing Research, Journal of the Association for Information Science and Technology, Computers and Education, Computers in Human Behavior and New Media and Society. Dr Lee is currently on the Editorial Advisory Board for Computers and Education, Online Information Review, The Electronic Library and Journal for STEM Education Research. Dr Lee received her B.Sc. and M.Sc. degrees in Computer and Information Sciences from the National University of Singapore and her PhD in Management Information Systems from the University of Illinois at Chicago, Liautaud Graduate School of Business.
|Talk Title: Understanding the Visual Aesthetics of Mobile Apps in Everyday Life
Professor Lee Pui Mun
Lee Pui Mun is a Professor in the School of Business, Singapore University of Social Sciences [SUSS]. He teaches management, strategy and operations. He also served as the Vice Dean and then the Dean of the School of Business, SUSS between 2010 to 2018. He has authored more than 60 articles and has done consulting work for many organisations in the areas of performance management, quality management, and operations management. He serves as an Assessor for the Singapore Quality Award and conducted research on business excellence. He was a member for the Singapore Quality and Safety Standards Committee and serves as a member of Editorial Board, Asia Pacific Journal of Innovation and Entrepreneurship. He is a senior member of American Society for Quality and is a member for the Academy of Management. He has been a reviewer for many different journals and also an examiner for many different universities’ postgraduate theses.
|Talk Title: Business Analytics
Professor Mohamed Quafafou
|Mohamed Quafafou is a Professor of computer science at Aix-Marseille University. His main research interests are in Data Mining theory and applications. Prior to joining Aix-Marseille University at 2005, he served as Professor at Avignon University from 2002 to 2004 and as Assistant Professor at University of Nantes from 1995 to 2001. Mohamed Quafafou received his Habilitation Ph.D. in 2000 on Rough sets Theory and Data mining and a Ph.D. in Computer Science from INSA Lyon, in 1992. He received a M.Sc. in computer science from Paul Sabatier University (Toulouse), a M.Sc. in mathematics from Pau University and the B.Sc. degree in Mathematics from the Cadi Ayyad University (Marrakech). For about 30 years, he developed research on rough sets, data mining, web information extraction, etc. In partnership with France Telecom, he developed one of the first French web mining systems to discover emergent web communities. He headed the Geobs Data Analyzer project which aimed to provide a theoretical foundation for spatial data mining systems covering a large area of applications, e.g., environment, marketing, social analysis, etc. He is the head of data mining at scale research group (DANA) at LIS CNRS. He has supervised more than 20 Ph.D. thesis and more than 60 M.Sc. student research projects. He has been expert for several French National and International projects. Professor Mohamed Quafafou is a teacher at Polytech Marseille, where he leads the training of Information System and Data Science Engineering. He has also other teaching activities in M.Sc level in both Aix-Marseille University and University of Science and Technology of Hanoi. He is the head of computer science department of Polytech Marseille.
|Talk Title: An Inquiry into Perception and Relative Truth
Professor Pedro Teixeira Isaias
Pedro Teixeira Isaias, a is an associate professor at the Information Systems & Technology Management School of The University of New South Wales (UNSW – Sydney), Australia. Previously he was an associate professor at The University of Queensland, Brisbane, Australia. Before moving to Australia, he served at the Universidade Aberta (Portuguese Open University) in Lisbon, Portugal, where he was responsible for several courses and director of the master degree program in Management / MBA. Pedro was director of the master degree program in Electronic Commerce and Internet for 10 years.
|Talk Title: Learning Analytics