Recent research:
Across diverse applied domains, the author advances data-driven decision making, measurement, and smart systems by integrating statistical modeling, machine learning, and AI-driven analysis to improve quality control, document similarity, cybersecurity, energy governance, traffic psychology, and public health surveillance. In manufacturing, predictive models for paint viscosity combine polynomial regression, ANOVA, Box-Cox transformations, and meta-model selection with supervised learning (Random Forest identified as superior) to cut turnaround time by nearly half. In scholarly retrieval, an interactive NLP-powered web tool harmonizes multi-attribute article data to derive similarity structures and visualizations, enabling more efficient literature exploration. In fintech, a microservice-based mobile wallet design aligns cloud patterns with regulatory considerations to enhance inclusion and security. In malware detection, cost-sensitive classifiers with resampling techniques demonstrate strong performance under class imbalance, highlighting Near Miss and Random Forest as effective strategies. In smart technologies, conference proceedings synthesize and disseminate research on smart grids, IoT, and AI for scalable collaboration. In energy, a fuzzy-logic model assesses electric service restoration performance, translating historical outage data into membership-based efficiency signals. In transportation and mobility, driving simulators built on gaming engines (GTA V) provide realistic, low-bias data for traffic psychology via a C#-based data-collection mod. In water systems, a comparative study shows Random Forest and ANN outperform SVM for fault prediction in pumping networks, with training time and interpretability as practical considerations. Finally, in public health and safety, UAV-based real-time social distancing detection leverages YOLO for person detection and distance estimation, achieving high recall and low distance error across flight heights. Collectively, the work demonstrates impactful, scalable methods for predictive maintenance, AI-enabled monitoring, and decision-support across industry, science, and society.
Key Topics:

• Artificial Intelligence, Machine Learning & Data Science
• Optimization, Operations Research & Decision Support
• Standards, Validation, Benchmarks & Measurement Best-Practice
• Natural Language Processing, Conversational AI & Text Analytics
• Cybersecurity, Privacy, Trust & Blockchain
• Governance, Law, Policy, Ethics & Regulation
• Power Systems, Renewable Energy & Microgrids
• Transportation, Mobility, Vehicles & Emissions
• Control Systems, Automation & Industrial Control (SCADA/PLC)
• Sensors, Instrumentation & Measurement Systems
• Computer Vision, Medical Imaging & Signal Processing
• Robotics, Autonomous Systems & Control
• Smart Grids, IoT, Edge/Fog & Industry 4.0
• Standards, Validation, Benchmarks & Measurement Best-Practice