PhD Candidate
Sep 2023 - Present • Dublin, Ireland •
Current
Researching ML models for understanding brain waves and neural signal processing
Key Contributions
- Researched adaptive user interfaces with EEG feedback, modeling cognitive states to enhance UX.
- Developed novel deep clustering methods to improve stability and generalizability of EEG data analysis.
- Integrated brain activity data with knowledge graphs to gain insights into user engagement and cognitive load.
- Advised by Dr. Bujar Raufi and Dr. Bojan Božić.
Focus Areas
- EEG signal processing, representation learning, and deep clustering
- Human–computer interaction and adaptive UI design
- Knowledge graph integration for neurocognitive insights
Publications
Add acutal publications