Recent research:
Across multiple SmartTech volumes and biomedical studies, the researcher’s work integrates smart technologies, AI, and data-driven methodologies to advance health, safety, and intelligent systems. The publications reflect a sustained focus on (1) urban digital transformation, smart grids, IoT/edge computing, and Industry 4.0; (2) medical imaging, computer vision, radiomics, and AI for diagnostic support; (3) rehabilitation engineering, prosthetics, neurotechnology, and biomechanical modeling; (4) postural control, balance assessment in elderly, and inertial sensor-based biomechanics; and (5) exoskeletons and occupational health tech. Methodologies span systematic literature reviews, conference-proceedings syntheses, experimental validation with inertial sensor networks (quaternions for alignment, COM estimation, gait analysis), finite element analysis, radiomic feature extraction with PCA, SVM and neural classifiers, deep learning architectures (Efficient-UNet), and comprehensive evaluations on public datasets. The impact centers on creating scalable, sensor-enabled, AI-assisted tools for clinical diagnosis, elderly mobility assessment, sports performance, and industrial safety, as well as contributing to the discourse on smart cities and digital twins through consolidated conference volumes.

Key Topics:

• Urban Digital Transformation, Smart Cities & Digital Twins
• Smart Grids, IoT, Edge/Fog & Industry 4.0
• Artificial Intelligence, Machine Learning & Data Science
• Computer Vision, Medical Imaging & Signal Processing
• Biomedical Engineering, Rehabilitation, Prosthetics & Neurotechnology
• Sensors, Instrumentation & Measurement Systems
• Healthcare, Clinical Epidemiology & Public Health
• Robotics, Autonomous Systems & Control
• Specialized & Emerging Technologies (Quantum, Metaverse, Novel Interfaces)