Center of Excellence in Brain Computing
CEBC is a pioneering research and development hub dedicated to advancing brain-computer interface (BCI) technologies, cognitive science, and neuro-AI applications. With interdisciplinary collaboration across academia, research, and clinical practice, CEBC is committed to solving real-world problems by decoding the mysteries of the human brain.
About Us
The Center of Excellence in Brain Computing (CEBC) is a research-focused consortium bringing together scientists, clinicians, and technologists to understand and leverage brain activity for next-generation digital systems. Our center explores fundamental questions in cognitive science such as consciousness, learning, sensory integration, and the interaction of the human mind with its environment.
We specialize in the development of cutting-edge BCI systems, advanced AI algorithms for neural signal decoding, and assistive tools for individuals with speech or motor impairments. Through hands-on research, data analysis, and experimentation, CEBC is building intelligent technologies rooted in neuroscience.
Vision
To become a global hub for innovative brain-computer interface research, unlocking the full potential of the human brain to enhance digital communication, assistive technologies, and medical diagnostics.
Mission
● To conduct impactful, interdisciplinary research in brain science and computing. ● To design intelligent systems using brain signals and AI for societal benefit. ● To train and nurture future scientists in experimental neuroscience and neurotechnology. ● To develop assistive tools for speech-impaired individuals using BCI. ● To promote translational research in medical signal and image processing.
- Brain-Computer Interfaces (BCIs): Non-invasive decoding of brain signals to control digital devices.
- Cognitive Neuroscience: Studying attention, perception, memory, and decision-making.
- Neuro-AI: Machine learning models for brain activity analysis and interpretation.
- Medical Signal & Image Processing: EEG, fNIRS, MRI, and eye-tracking data for diagnostics and prediction.
- Assistive Neurotechnology: Tools for communication and control for people with speech or movement impairments.
- Experimental Design: Creating robust paradigms to study task-based neural activation.
Our Team
- Multimodal BCI Integration: Combining EEG and eye-tracking to interpret intention in real time.
- Speech Impairment Assistive Tools: BCI-enabled speller system to assist paralyzed users.
- EEG Signal Analysis Algorithms: Segmenting task-related EEG components using SASICA & ICA.
- Neural Decoding with AI: Training neural networks to recognize cognitive states from raw EEG.
Facilities
- 📧 Email: cebc@duk.ac.in
- 📞 Phone: +91-9995361511
- 🌐 Follow Us: Virtual Resource Centre for Language Computing (VRCLC), DUK: Posts | LinkedIn