Within this area, we focus on emerging computing paradigms that move beyond the conventional von Neumann architecture, including neuromorphic, probabilistic, spintronic-based quantum, and in-memory computing approaches. At the implementation level, our research also explores technologies beyond traditional CMOS, such as spintronic and memristive devices. The goal is to design and develop highly efficient, low-power, and scalable computing systems for a wide range of applications, including biomedical, aerospace, IoT, robotics, autonomous systems, and image/video processing. Furthermore, the research addresses integration challenges across electronics, spintronics, and photonics, paving the way for future computing systems that combine speed, adaptability, and energy efficiency.
Advanced computing: technologies, architectures and applications