Author

Umair Mohammad

Florida International UniversityORCID 0000-0002-4499-548XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Neuroscience· 1

Signature Assays, Organisms & Methods

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Assay:electronic health records· 3 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Organism:human· 1 Approach:large language model· 1 Approach:statistical model· 1 Approach:transformer / foundation model· 1

Frequent Co-Authors

Fahad SaeediD· 3 shared Paras Parani· 2 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

2 top collaborators · 1 mutual co-author link

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3 shared papersBioinformatics

Fahad SaeedORCID

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3 papers

Recent·Most cited

CViT-ESP: Lightweight Pre-trained Vision Transformers for EEG-based Epileptic Seizure Prediction

Umair Mohammad, Paras Parani, Fahad Saeed

This paper introduces CVIT-ESP and ESPFormer, pre-trained Vision Transformer models adapted for EEG-based seizure prediction, achieving higher AUC-ROC than existing models.

bioRxiv · Aug 26, 2026 · PreprintNeuroscience

Utilizing Pretrained Vision Transformers and LargeLanguage Models for Epileptic Seizure Prediction

Paras Parani, Umair Mohammad, Fahad Saeed

This paper uses pre-trained Vision Transformers and Large Language Models to predict epileptic seizures, finding that LLMs achieve higher sensitivity than ViTs and a custom ResNet model.

International Conference on Data Science and Machine Learning Applications (CDMA) · Feb 16, 2025Peer-reviewedBioinformatics

MLSPred-Bench: ML-Ready Benchmark LeveragingSeizure Detection EEG data for Predictive Models

Umair Mohammad, Fahad Saeed

The paper converts seizure detection EEG data into ML-ready datasets for predictive modeling, creating MLSPred-Bench with 12 datasets and 150GB of data.

bioRxiv · Jul 17, 2024 · PreprintBioinformatics