Generative Models
Diffusion models, generative adversarial networks, and adversarial autoencoders for structured and temporal data.
PhD Candidate in Computer Science
Generative AI
for scientific
discovery.
MohammadReza “Sam” EskandariNasab is a machine learning researcher at Utah State University specializing in generative modeling, multivariate time-series analysis, and trustworthy AI for scientific applications.
AI
generative models
space weather
time series
Research program Machine learning for scientific
and biomedical discovery.
and biomedical discovery.
Generative Models ✦ Space Weather Prediction ✦ Time Series Analysis ✦ Biomedical Signal Processing ✦ Generative Models ✦ Space Weather Prediction ✦
Research areas
Research at the intersection of
machine learning and science.
Space Weather Prediction
Machine learning methods for solar-flare forecasting and multimodal analysis of space-weather observations.
Time Series Analysis
Representation learning, classification, generation, and domain adaptation for multivariate time-series data.
Biomedical Signal Processing
Deep learning for EEG, auditory attention detection, and the analysis of complex neurophysiological signals.
Academic and professional experience
Research leadership
and technical practice.
Sep 2023 — Present
Utah State University · Logan, Utah
Machine Learning Researcher
- Develop novel generative architectures for multivariate time-series data, including diffusion models, generative adversarial networks, and adversarial autoencoders.
- Lead first-author research published at IEEE ICDM, IEEE Big Data, SIAM SDM, ICMLA, and in peer-reviewed journals.
- Design contrastive-learning methods and reproducible preprocessing pipelines for solar-flare prediction and multimodal space-weather analysis.
May 2023 — Jul 2025
Utah State University · NSF-Funded Project
Lead Web Developer
- Led development of a full-stack scientific platform enabling researchers to preprocess data, train models, tune hyperparameters, and evaluate solar-flare classifiers without programming.
- Designed the platform architecture using Django, React, PostgreSQL, Celery, Redis, REST APIs, and machine learning frameworks.
Education
Academic
preparation.
Utah State University · Logan, Utah
PhD in Computer Science
GPA: 4.0 / 4.0Research: generative models, multimodal learning, time-series analysis, and solar-flare prediction.
Advisor: Dr. Shah Muhammad Hamdi
Utah State University · Logan, Utah
MSc in Computer Science
GPA: 4.0 / 4.0Thesis: Supervised Generative Adversarial Networks for Time Series Generation in Embedding Space.
University of Zanjan · Zanjan, Iran
BSc in Computer Engineering
GPA: 3.88 / 4.0, final two yearsCapstone: full-stack automotive marketplace with a dynamic reputation-weighted pricing algorithm.
Academic profile
Research, teaching,
and service.
MohammadReza EskandariNasab, professionally known as Sam Alexanders, is a PhD candidate in Computer Science at Utah State University.
His research agenda centers on generative machine learning for structured temporal data, with applications in space weather and biomedical signal processing. He is committed to an academic career that integrates high-impact scholarship, inclusive teaching, reproducible research, and professional service.
Academic service
Reviewer for leading journals including Information Fusion, Artificial Intelligence, Neurocomputing, and the IEEE Journal of Biomedical and Health Informatics; conference volunteer for IEEE ICDM and IEEE Big Data.
Research collaboration · Academic opportunities · Student mentorship
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