Recent research:
The researcher pursues an integrative, application-driven program spanning environmental sensing, smart infrastructure, and digital security. Across weather-monitoring platforms, emergency intercom systems, and IoT-enabled assets, the work emphasizes real-time data acquisition, robust visualization, and user-centered interfaces using accessible hardware (FPGA, Raspberry Pi, Arduino) and common software environments (LabVIEW, Node-RED). Methodologies blend sensor fusion and Edge/IoT networks with practical validation: empirical accuracy metrics (e.g., 85% accuracy, RMSE 0.2 °C/1.5% humidity), rapid response times for safety-critical alerts (around 1.2 s), and end-to-end demonstrations from data collection to visualization and cloud-based access. Several studies also address resilience and security in cyber-physical contexts, employing vulnerability assessments, phishing simulations, and standardized scoring (CVSS) to identify critical weaknesses and prioritize improvements. A notable thread links renewable energy and grid reliability with optimization techniques (PSO-based) to reduce outages and optimize solar integration, illustrating a systems-level approach to reliability and sustainability. Overall impact centers on democratizing technology-enabled monitoring and safety, while outlining concrete paths for enhancement in sensing accuracy, security hardening, and grid-aware optimization. This synthesis positions the researcher as a capable liaison between hardware prototyping, real-time data visualization, and applied cybersecurity and energy optimization.

Key Topics:

• Smart Grids, IoT, Edge/Fog & Industry 4.0
• Sensors, Instrumentation & Measurement Systems
• Environmental Monitoring, Remote Sensing & Conservation
• Cybersecurity, Privacy, Trust & Blockchain
• Agriculture, Precision Farming, Food Systems & Agroecology
• Power Systems, Renewable Energy & Microgrids
• Education, Pedagogy, Teacher Training & Inclusion