Research in AI and digital health

Selected publications, alongside my current research in AI and digital health at Marquette University.

Selected publications

Agentic AI for EEG-Based Brain–Computer Interfaces: A Review of Methods, Systems, and Applications

2026 IEEE 50th Annual Computers, Software, and Applications Conference (COMPSAC) COMPSAC

A review of methods, systems, and applications connecting agentic AI with EEG-based brain–computer interfaces, covering SVM, k-NN, XGBoost, CNN, LSTM, Transformer, GNN, and reinforcement learning.

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Jul 2026

Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal

Egyptian Informatics Journal, Volume 21, Issue 1, Pages 23–35 Journal

Hybrid PCA and t-statistics features for EEG emotion recognition on the SEED dataset, evaluated with SVM, ANN, LDA, and k-NN; best accuracy 86.57% with a subject-dependent ANN.

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Nov 2019

Understanding health
through everyday signals

Exploring non-invasive physiological sensing from face and fingertip video, multimodal patient monitoring, and the relationships between neuro signals and physiological indicators.

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Contactless health sensing

Computer vision, PPG, and remote biomarker estimation.

Agentic AI for research

Multi-agent systems, research automation, and neuro-inspired model development.

Brain–computer interfaces

EEG analysis, physiological signals, and machine learning.