About Dr. Andrej Savic

Dr. Andrej Savic is a biomedical engineer and a full research professor. He builds AI-powered brain-computer interface (BCI) systems and takes them all the way to clinical validation with real patients. His work spans BCI design, EEG signal processing, machine learning for neural data, and clinical neurotechnology for stroke, ALS, Parkinson’s disease, multiple sclerosis, dyslexia, and pain. He has led funded research projects, supervised PhD students, and collaborated with research groups globally. He serves as an Associate Editor of IEEE Transactions on Neural Systems and Rehabilitation Engineering, the flagship journal in the field.

He designed, built, and clinically tested BCI systems for motor and sensory rehabilitation after stroke, assistive communication for patients with amyotrophic lateral sclerosis (ALS), and cognitive workload monitoring in industrial settings. He is skilled at combining deep EEG signal processing expertise with modern machine learning methods, real-time algorithms for detecting motor intention, classifying cognitive states, and tracking somatosensory processing, using approaches that range from classical signal processing to deep learning and neural data classification techniques at the forefront of the current AI-neurotech convergence.

Dr. Savic has supervised 3 doctoral dissertations to completion and contributed to 15+ PhD-level research projects as co-supervisor, methodology advisor, or EEG/BCI technical lead across multiple institutions. He teaches at the doctoral level across three University of Belgrade programs: Biomedical Engineering, Intelligent Systems, and Biophysics. Several former students have gone on to establish their own research directions in neurotechnology.