Andrej Savic
Advancing Brain-Computer Interface technology for neurorehabilitation
About Me
I'm an electrical engineer and researcher working at the intersection of biomedical engineering, neural engineering, and neuroscience, with a specialized focus on Brain-Computer Interfaces (BCI) and closed-loop neurotechnology.
Over the years, I've contributed to numerous public and private research projects, gaining hands-on experience across a broad range of applications, from restorative BCI for stroke rehabilitation, assistive BCI for ALS, and hybrid BCIs, to neurofeedback systems, passive BCI for neuroergonomics and implantable closed-loop devices.
My work in EEG-based BCIs centers on the discovery and development of novel BCI control paradigms. I have extensive experience in inducing, recording and processing a variety of brain signals, including ERD/ERS, SSVEP, MRCP, SEP, and event-related potentials like P300, N170 and N400, with the goal of enabling reliable online BCI control.
With a strong background in clinical collaboration, I bring deep expertise in multichannel Functional Electrical Stimulation (FES) for motor and sensory recovery, rehabilitation robotics, brain stimulation methods, and the application of machine learning and intelligent systems in biomedicine.
Since 2016, I've served as an accredited lecturer in the Doctoral Program at the University of Belgrade, teaching across modules in Biomedical Engineering, Intelligent Systems, and Biophysics.
Brain-Computer Interfaces
Specializing in restorative BCI for stroke rehabilitation and assistive BCI for ALS
Academic Leadership
Full Research Professor and PhD lecturer since 2016
BCI Award 2024 Nominee
HYBIS project nominated among top 12 from 80+ worldwide submissions
Editorial Roles
Associate Editor at IEEE TNSRE and Frontiers in Human Neuroscience
Technical Skills
Expertise spanning neural engineering, biomedical systems, and computational methods developed over 16+ years of research and development.
Professional Experience
Full Research Professor / Principal Research Fellow
Senior Scientific Associate / Associate Research Professor
Principal Investigator
Led the HYBIS project - Hybrid Brain Computer Interface for Control of Sensory-Motor Coupling in Post-Stroke Rehabilitation.
Associate Editor
Editor
University Lecturer - PhD Studies
Accredited lecturer in Doctoral Program courses: Selected methods for physiological signal processing (Biomedical Engineering); Computational models in neuroscience (Intelligent Systems); Sensors in biophysics and biomedicine (Biophysics).
Scientific Researcher
Scientific Associate / Assistant Research Professor
Research Assistant
Research Projects
Key research projects advancing brain-computer interfaces, neurorehabilitation, and biomedical engineering.
HYBIS - Hybrid Brain Computer Interface for Post-Stroke Rehabilitation
HYBIS project aims to develop an innovative hybrid Brain-Computer Interface (BCI) for targeted reinforcement of sensory motor coupling, specifically dedicated for upper-limb post-stroke rehabilitation. Funded by the Science Fund of Republic of Serbia through PROMIS program. Ranked 7th out of 59 funded projects among 600+ applications. Nominated for the Annual BCI Award 2024 (12 nominees out of 80+ projects worldwide).
TWINNIBS - Twinning for Excellence in Non-Invasive Brain Stimulation
TWINNIBS aims to strengthen research and innovation capacities in non-invasive brain stimulation (NIBS). This coordination tool brings NIBS research in Serbia to a new level by partnering with leading European R&I institutions from Denmark, Italy, Germany, and Austria.
BrainWatch explored the feasibility of integrating neuroergonomic principles and collaborative robotics to improve workers' well-being. Winning use case in SHOP4CF project's first competitive open call (funded up to EUR 100,000). Developed neuroergonomic workstation with modular software architecture for physical and mental state assessment.
REMAP - Robotic Arm Exoskeleton and Brain Computer Interface
Development and feasibility testing of a Brain Computer Interface (BCI) system for real-time EEG processing and classification to control a wearable robotic glove. Intended for assistance of grasping in patients with ALS.
European Digital Deal
Three-year investigation co-funded by Creative Europe into how accelerated adoption of new technologies - AI, machine learning, blockchain and algorithmic processing - can alter or undermine democratic processes.
ArmAssist - Low-cost Assistive Robot for Rehabilitation
Development and clinical validation of a novel tele-rehabilitation platform for post-stroke neurorehabilitation. The randomized clinical trial showed robotic training is safe and more effective than conventional arm training in subacute stroke subjects.
Education
Doctor of Philosophy (PhD)
Biomedical/Medical Engineering
University of Belgrade, School of Electrical Engineering
2011 - 2014
Thesis
Electroencephalographic control signals of brain-computer interface in neurorehabilitation
Mentor: Prof. Mirjana Popovic
Master's Degree
Biomedical/Medical Engineering
University of Belgrade, School of Electrical Engineering
Oct 2008 - Mar 2010
Bachelor's Degree
Electrical Engineering
University of Belgrade, School of Electrical Engineering
Oct 2008
Awards & Recognition
Certifications & Accreditations
BCI Award 2024 Nominee
BCI Award Foundation
Oct 2024
IOP Trusted Reviewer Status
IOP Publishing
Sep 2024
Horizon 2020 Project Development and Proposal Writing
European Training Academy
Jul 2020
Accreditation for Tenure-track Lecturer
AQU Catalunya (Agencia per a la Qualitat del Sistema Universitari de Catalunya)
Honors & Awards
Prof. dr Ilija Stojanovic Award for Best Student Paper
Jan 2010Telenor Foundation
Award for best student paper at Telfor 2010 conference, Belgrade, Serbia. Paper: 'Comparison of the Event-Related Desynchronization during Self-Paced Movement and when playing a Nintendo Wii Game'
Best Paper in the Field of Biomedical Engineering
Jun 2009ETRAN Society of Serbia
Best paper award at ETRAN 2009 conference, Vrnjacka Banja, Serbia.
IEEE Travel Award for Workshop on Brain-Machine-Body Interfaces
Jul 2012IEEE
Travel award for Live Demonstration at IEEE EMB/CAS/SMC Workshop on Brain-Machine-Body Interfaces, San Diego CA.
COST Action TD1006 - Short Term Scientific Mission
May 2013COST Action TD1006
Travel grant for STSM at Aalborg University, Denmark. Topic: Control strategies for EEG BCI device based on motor imagery.
COST Action TD1006 - Short Term Scientific Mission
Sep 2012COST Action TD1006
Travel grant for STSM at University of Jyvaskyla, Finland. Topic: Advanced EEG techniques to utilize brain's automatic change detection in BCI.
Let's Connect
Curious about collaboration, research, or just want to talk brain tech? I'm always open to discussing new opportunities in neuroengineering and BCI research.
Location
Belgrade, Serbia
Affiliation
University of Belgrade
School of Electrical Engineering
Connect with me