Danial Ebrat

• Conducted extensive research on applying multi-agent deep reinforcement learning in recommender systems, utilizing advanced customized simulation environment, LLMs, RAGs, Graph-based approaches and deep reinforcement learning. • Led a patent project involving the development of an Intelligent Framework for a Social Engineering Cyber Security Training program. This innovative AI-based system dynamically adjusted its behavior based on user responses, identifying vulnerable individuals and their weaknesses in relation to social engineering attacks. • Teaching and leading Introduction to Algorithm and Programming, and Data Structures Algorithm courses.

• Teaching Artificial Intelligence, Data Science, and machine learning using hands-on Python projects. • Teaching programming and algorithms for coding contests such as the United States of America Computing Olympiad (USACO) and Canadian Computing Competition (CCC). • Teaching Mathematical contests such as Gauss and Pascal math competitions.

• Design and development of the back end of an analytics platform application that enables quick integration and fast analysis of vast amounts of complex data from the hybrid graphs and relational databases using SCALA, Apache Spark, MongoDB, Apache Livy, and Apache Sedona. • Implementation and deployment of various deep learning and machine learning models for multidisciplinary projects related to different industries, such as anomaly detection, trajectory prediction, and decision-making which led to multiple innovative patents. • Participating in designing the conceptual architecture for a complex supply chain network associated with the agriculture and livestock industry to automate the food industry. • Research and development, data engineering, data analysis, data mining, and data visualization, which resulted in multiple national projects and prospected projects.

• Performing data mining and data analysis methods on customer information from different sources • Optimization and decision-making using data science for marketing purposes resulted in an income increase • Technology advisor and technology planning to improve marketing procedures for new customers and the satisfaction of reliable clients by automating processes.

• Webmaster and management • Troubleshooting software, hardware, and network problems • Supply management for required software, hardware, and devices

Thesis Title: "Iranian modal music (Dastgah) detection using deep neural network"