Martin Ivanov is completing his graduation internship at TU Dresden, as part of his Computer Science degree at Karel de Grote in Antwerp. He joined the Chair of Materials Science and Nanotechnology at TU Dresden to work on his final project, which focuses on developing a portable application for real-time visualization and analysis of gas sensor data from e-Nose systems. By integrating edge computing and TinyML, the application will support on-device machine learning inference and seamless communication with sensing hardware, enhancing the portability and usability of the lab’s existing systems.
Martin Ivanov is completing his graduation internship at TU Dresden, as part of his Computer Science degree at Karel de Grote in Antwerp. He joined the Chair of Materials Science and Nanotechnology at TU Dresden to work on his final project, which focuses on developing a portable application for real-time visualization and analysis of gas sensor data from e-Nose systems. By integrating edge computing and TinyML, the application will support on-device machine learning inference and seamless communication with sensing hardware, enhancing the portability and usability of the lab’s existing systems.
