Modern Artificial Intelligence and Data Science

Abdellah Idrissi, graduated Ph.D. in Artificial Intelligence, is currently a member of the IPSS team where he leads a research group on Artificial Intelligence and its applications. He is the author of three Books and co-author of numerous Publications in international journals and conferences. He is also the co-author of two Patents and others are pending. Abdellah is a member of the editorial board of several international journals and a member of the TPC of several international conferences. He is the founder and general chair of two International Conferences namely "Modern Artificial Intelligence and Data Science Systems (MAIDSS’22)" and "Modern Intelligent Systems Concepts (MISC'18)" and has chaired many international conferences and workshops. Abdellah has supervised several Doctoral Thesis, which have been defended with excellence, and many more are in progress. He is the Founder and Coordinator of the Master on Artificial Intelligence and Data Science. Abdellah is a partner ofmany national and international projects and was particularly a partner of the MOSAIC project, funded by the European Commission (FP7 612076), in which 12 partners representing 12 different countries participated. He was, in this last one, the leader in the implementation of the Technology Platform in the Maghreb Region.

• T opKW S Algorithm in the Map-Reduce paradigm   for Cloud Computing QoS Recommendation System.- A New Context-Based Factorization Machines for Context-aware Recommender Systems.- Review of Recommendation Systems and their Applications in e-Learning.- Improvement of Courses Recommendation System using Divide and Conquer Algorithm.- Deep Reinforcement Learning in Financial Markets Context: Review of Open Challenges.- A Survey of Parallel Computing: Challenges, Methods and Directions.- A bi-LSTM neural network to forecast stock Market Index.- Fast Yolo V7 based CNN for video streaming Sea Ship recognition and sea surveillance.- Graph convolutional network for multilingual sentiment analysis.- Predicting Blood Glucose Levels in Type 1 Diabetes Using LSTM.- Sarcasm Detection on Social Media using Machine Learning Approach.- School Dropout Prediction using Machine Learning Algorithms.- SURVIVAL PREDICTION IN PATIENTS WITH NASOPHARYNGEAL CANCER USING MACHINE LEARNING METHODS.- Comparative Analysis of Skyline Algorithms used to Select Cloud Services based on QoS.- A state-of-the-art Survey on Ransomware Detection Using Machine Learning & Deep Learning.- Improving the Application of Blockchain Technology For Tracking Processes in the Supply Chain Integrated Business Intelligence.- Studying Consensus Mechanisms for Blockchain.- Design and Construction of a Smart Agricultural Greenhouse.- Implementation and Management of a Home Automation Control System (Smart Home).- A comparative study of consensus algorithms used in Blockchain and their adaptation to the IoT networks.- Dynamics behavior of vehicular traffic flow in a scale-free complex network.- Customer Journey Map Discovery Approach.- Unmanned aerial vehicle-assisted clustered wireless sensor network data collection efficiency improvement.- Synergistic Fibroblast Optimization Algorithm for Solving Knapsack Problem.- ACCEPTANCE OF JOB ACCESS WITH SPEECH (JAWS) AS AN ASSISTIVE COMPUTER APPLICATION SOFTWARE.- Experimenting with Polymorphic Creativity Support Tools to Support Innovation in Participatory Ideation.