Machine Learning & Computational Science Researcher
Yeganeh Abdollahinejad
Building trustworthy machine learning for health, human signals, and information integrity.
I'm a researcher at Michigan State University working at the intersection of machine learning, computational modeling, and data science. My work spans trustworthy multimodal ML, EEG and physiological signal analysis, and mathematical models for medicine — with a steady focus on making models that are accurate, calibrated, and explainable.
What I work on
Trustworthy & multimodal ML
Misinformation detection, cross-modal reasoning, and models that stay calibrated and honest under real-world shift.
Human signals & affective computing
EEG and physiological signals for emotion and fatigue recognition that generalize to unseen people.
Computational modeling for health
Mechanistic models, Bayesian inference, and ML for oncology, nanoparticle transport, and clinical decision support.
Explainable & responsible AI
Saliency, uncertainty, and fairness — making model decisions legible, especially in medicine.
Selected publications
View all →arXiv preprint · 2026
MOMENTA: Mixture-of-Experts Over Multimodal Embeddings with Neural Temporal Aggregation for Misinformation Detection
Y. Abdollahinejad, A. Mousavi, N. Hassan, K. Shu, N. Japkowicz, S. Khosravi, A. Karami
IEEE Open Journal of the Computer Society · 2026
EMO-CARE: EEG Multi-Scale Temporal Modeling with Channel-Aware Feature Attention for Robust Subject-Independent Emotion Recognition
Y. Abdollahinejad, A. Mousavi, P. Siaplaouras, Z. Boukouvalas, R. Corizzo
IEEE Access · Vol. 14, pp. 71196–71216 · 2026
Systematic Literature Review of Machine Learning Methods for Emotion Recognition Using EEG and Physiological Signals in Healthcare
Y. Abdollahinejad, S. M. Reza, B. Ashwini, A. Mousavi
Featured projects
View all →Explore the rest
Recent notes
View all →Welcome to the memory drawer
A first note — replace this with your own thinking.
Building this site in public
Why I chose to code my own personal website from scratch.