Ifeanyichukwu Obiorah

Project Title: Development of a Continuous Control Reinforcement Learning for MAPF (DRL). Description: Designed a reinforcement learning (RL) environment for Multi-Agent Pathfinding (MAPF) to enable agents to learn optimal pathfinding strategies. Role: Master’s Thesis Project. Outcomes: Developed and tested a scalable, fully functional MAPF RL environment.

Project Title: Building AI-Driven Predictive Models (DL): Description: Developed LSTM-based models for prediction in control and regulation tasks, using time-dependent historical data. Role: Master’s Project. Outcomes: Built two predictive models with 98.9% accuracy, demonstrating strong real-world performance.