12 papers
NeuroMambaLLM: Dynamic Graph Learning of fMRI Functional Connectivity in Autistic Brains Using Mamba and Language Model Reasoning
Yasaman Torabi, Parsa Razmara, Hamed Ajorlou +1
Large Language Models (LLMs) have demonstrated strong semantic reasoning across multimodal domains. However, their integration with graph-based models of brain connectivity remains…
Physics-Informed Graph Neural Network for Inverse Design of Integrated Photonic Biosensors
Yasaman Torabi, Amirali Ekhteraei, Mohammad Khajezadeh
Integrated photonic biosensors provide compact, highly sensitive, and label-free platforms for biochemical detection, making them attractive for on-chip and real-time sensing appli…
AI-Driven Cardiorespiratory Signal Processing: Separation, Clustering, and Anomaly Detection
Yasaman Torabi
This research applies artificial intelligence (AI) to separate, cluster, and analyze cardiorespiratory sounds. We recorded a new dataset (HLS-CMDS) and developed several AI models,…
QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals
Yasaman Torabi, Shahram Shirani, James P. Reilly
Early identification of abnormal physiological patterns is essential for the timely detection of cardiac disease. This work introduces a hybrid quantum-classical convolutional neur…
Chem-NMF: Multi-layer -divergence Non-Negative Matrix Factorization for Cardiorespiratory Disease Clustering, with Improved Convergence Inspired by Chemical Catalysts and Rigorous Asymptotic Analysis
Yasaman Torabi, Shahram Shirani, James P. Reilly
Non-Negative Matrix Factorization (NMF) is an unsupervised learning method offering low-rank representations across various domains such as audio processing, biomedical signal anal…
Quantum Biosensors on Chip: A Review from Electronic and Photonic Integrated Circuits to Future Integrated Quantum Photonic Circuits
Yasaman Torabi, Shahram Shirani, James P. Reilly
Quantum biosensors offer a promising route to overcome the sensitivity and specificity limitations of conventional biosensing technologies. Their ability to detect biochemical sign…