Safdar Mahmood

Professor Safdar Mahmood is a faculty member in the Department of Computer Engineering at Brandenburg University of Technology Cottbus-Senftenberg. His research focuses on machine learning, reconfigurable computing, robotics, and embedded systems with applications in FPGA acceleration, biomedical signal processing, and safety-critical systems. He leads projects in the UBICO team and has contributed to hardware-software co-design frameworks for AI applications.

Research interests include domain-specific processor architectures, high-level synthesis for CNNs, and FPGA-based implementations of robotics algorithms. Recent work addresses challenges in landmine detection using deep learning, autonomous medical robotics, and spectroscopic data analysis.

Notable contributions include a design-space exploration framework for machine learning accelerators and tooling for Tensilica ASIP architecture exploration. His work frequently bridges theoretical computer science with practical hardware implementations in reconfigurable systems.

Advising includes mentoring doctoral candidates such as Dr. Mitko Veleski and Dr. Stefan Scharoba. He is affiliated with the Computer Engineering Group and has collaborated on projects like the InjectMeAI humanoid injection system and GPR-based landmine detection frameworks.