I have published research across Swarm Robotics, Blockchain Security, AI for Environmental Monitoring, Computer Vision, and Optimization, with applications ranging from disaster response to accessibility, sustainability, and smart systems. My work bridges theory with real-world solutions, demonstrating how AI can drive innovation across diverse domains. Read more on Google Scholar →
Swarm Robotics & Blockchain Security
- Advancing Robotic Swarms with Blockchain Technology: A Dynamic Two-Factor Authentication Consensus Framework — 2024
Proposed a blockchain-based framework to secure swarm robotics against cyberattacks, ensuring reliable consensus in adversarial environments. - Federated Byzantine Agreement-Inspired Blockchain Protocol for Swarm Robotics — 2024
Developed a novel blockchain consensus model to enhance the security and resilience of swarm robots in practical deployments. - Performance Analysis of Selected Swarm-Based Robot Search Algorithms for Target Tracking — 2024
Evaluated and compared swarm search algorithms for target tracking, offering insights into accuracy and efficiency trade-offs. - AI-Enhanced Swarm Drones: Decentralized Solutions for Sustainable Environmental Monitoring Applications — 2025
Introduced a decentralized drone swarm system with AI-driven exploration and data integrity safeguards, advancing sustainable land monitoring aligned with UN SDG 15.
Computer Vision & Smart Systems
- Development of a Vision-Based Smart Security System for Vehicle Entry Monitoring in a Subdivision — 2024
Created a machine vision system for automated license plate recognition, enhancing gated community security and traffic monitoring. - Development of a Solid Waste Identification and Segregation Hub (SWISH) System with CNN — 2024
Designed an AI-powered system for automated waste segregation, supporting sustainable waste management practices. - Mobile Phone Decoder of Two-Cell Contracted Braille for Filipino Words Using Convolutional Neural Networks — 2023
Built a mobile application for real-time Braille decoding, providing accessible tools for teachers and visually impaired learners.
Algorithm Optimization
- Hybrid Artificial Bee Colony and Spherical Vector-Based Particle Swarm Optimization for UAV Path Planning — 2023
Combined two bio-inspired algorithms to optimize UAV path planning across complex terrains with obstacles. - Modified Fast and Robust Fuzzy C-means Algorithm for Flood Damage Assessment — 2023
Enhanced image segmentation methods for UAV-based flood damage assessment, improving disaster response analysis. - UAV Image Clustering Detection of Floating Objects on Floods Using Hybrid Firefly Algorithm and Particle Swarm Optimization — 2023
Applied hybrid swarm intelligence techniques to detect flood debris using aerial imagery for emergency operations.
Feel free to reach out to me for any research inquiry via marckbarrion@gmail.com.
Marck Herzon Barrion 