All research work authored or led by Abedalraheem Alagha centers on empirical testing with physical prototypes, edge compute optimization (NVIDIA Jetson, ESP32), and production-grade process automation.
Category: Autonomous Systems & Edge AI | Year: 2024 | Author: Abedalraheem Alagha
Abstract: This 28-page research investigation evaluates sensory architectures and real-time inference frameworks for small-scale autonomous ground vehicles operating under high-temperature urban road conditions in Qatar. The study analyzes the trade-offs between LiDAR-based spatial point cloud processing versus edge camera-based deep convolutional neural network object detection on power-constrained embedded systems.
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Category: Robotics & Kinematics | Year: 2024 | Author: Abedalraheem Alagha
Abstract: Explores the mechanical and computational integration of computer vision head-tracking with recycled electronic components to create reactive social robot kinetic sculptures. Investigates human-robot interaction response times and motor control smoothing algorithms.
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Category: Applied AI & Document Automation | Year: 2026 | Author: Abedalraheem Alagha
Abstract: A case study and technical report on designing an automated pipeline for rapid validation of large-scale legal contracts. Demonstrates how rule-based regex parsing combined with LLM semantic extraction reduced a 3-month manual auditing workload into a 3-week automated verification cycle.
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