Short Bio

Dr. Şenol Pişkin is Professor and PI of the ISU XR Lab at Istinye University, Istanbul. His research spans translational healthcare technologies, extended reality (XR), digital twins, computational modelling, and AI-driven clinical image analysis. He leads multidisciplinary projects in collaboration with hospitals and clinical specialists to translate simulation and XR tools into clinical workflows and decision support

Abstract of the speech

Healthcare is entering an era where rich data streams, physics-based simulation, and immersive interaction converge to create patient-specific digital twins. In this keynote I will outline a practical roadmap for combining digital-twin models, XR-enabled visualization, and machine learning to accelerate diagnosis, surgical planning, and rehabilitation. I will present case studies from cardiovascular and neurorehabilitation domains that demonstrate how optimization and data-science methods (parameter estimation, model personalization, and predictive analytics) reduce uncertainty, improve intervention planning, and enable remote, clinician-in-the-loop workflows. Finally, I will discuss translational challenges — data governance, clinical validation, and integration with hospital systems — and propose opportunities where optimization and industrial engineering approaches can speed adoption and ensure robust, ethical deployment.