We combine emerging computing paradigms, novel device technologies, and system-level integration in a single effort — spanning research, design, prototyping, and validation from architecture to physical implementation, to create scalable, high-performance solutions for next-generation computing challenges.
Professor Farshad Moradi
Head of SDU Microelectronics
We investigate computing paradigms that move beyond conventional von Neumann architectures, including neuromorphic, probabilistic, spintronic, quantum and in-memory computing.
At the implementation level, we explore technologies beyond traditional CMOS, including spintronic and memristive devices for future computing platforms.
We design high-performance, energy-efficient and scalable computing systems capable of meeting the demands of emerging applications and complex workloads.
Biomedicine
Implantable and wearable health technology
Aerospace
Radiation-tolerant and fail-safe systems
Internet of Things
Ultra-low power at the edge
Robotics
Real-time control and sensor fusion
Autonomous Systems
Decisions under tight energy budgets
Image & Video Processing
High throughput at low latency
Our research also addresses integration challenges across electronics, spintronics and photonics. By bringing these technologies together, we aim to enable future computing systems that combine speed, adaptability and energy efficiency.
Last Updated 10.09.2026
