Assistant Professor with a strong track record in wearable computing, pervasive computing, edge AI, edge intelligence, and applied artificial intelligence. Proven expertise in deploying machine learning and edge analytics across diverse domains—including digital health, human motion analysis, physiological monitoring, Industry X.0, agri-tech, telecommunications —resulting in over 100 peer-reviewed publications and contributions to more than 35 funded research projects.