Recent research:
The research focuses on the development and implementation of advanced technological solutions integrating artificial intelligence, embedded systems, and human-computer interaction to address complex societal and industrial challenges. A significant portion of this work involves the creation of assistive technologies, such as low-cost electronic visual assistants that utilize computer vision and transfer learning to aid visually impaired individuals in navigating urban environments. Furthermore, the research extends to humanitarian engineering, specifically the design of autonomous robotic systems for the detection of anti-personnel mines in challenging terrains, emphasizing real-time navigation and remote reporting capabilities.

In the industrial and educational sectors, the work explores the integration of augmented reality and predictive maintenance models. This includes the application of statistical reliability analysis and cloud-based data ingestion to monitor thermal stress in industrial machinery. Additionally, the research addresses pedagogical innovation by developing immersive virtual reality environments for special education, utilizing motion-sensing technology and neural network architectures to facilitate kinesthetic learning for children with cognitive disabilities. These projects collectively demonstrate a commitment to leveraging accessible hardware and sophisticated software architectures to improve safety, operational efficiency, and inclusive education.

Key Topics:

• Artificial Intelligence and Neural Networks
• Embedded Systems and Robotics
• Computer Vision and Augmented Reality
• Assistive and Immersive Technologies
• Predictive Maintenance and Industrial Automation