Umair Mohammad

Postdoctoral Associate
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umohammaobfuscate@fiu.edu

Umair Mohammad is a Postdoctoral Associate at Florida International University (FIU) in the Knight Foundation School of Computing and Information Sciences (KFSCIS). Umair earned his PhD in Electrical Engineering from the University of Idaho in 2020. His current research interests include edge machine learning (ML), mobile edge computing, and ML for biomedical event prediction. Umair is particularly interested in early epileptic seizure prediction, developing suitable datasets and advanced deep learning for improving prediction sensitivity.

Research

[dataset] MLSPred-Bench: Reference EEG Benchmark for Prediction of Epileptic Seizures

[Method Development] Predicting Epileptic Seizures

Papers

Utilizing Pretrained Vision Transfomers and Large Language Models for Epileptic Seizure Prediction

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

Heterogeneity Aware Distributed Machine Learning at the Wireless Edge for Health IoT Applications: An EEG Data Case Study

Communication Evaluation of a Wireless 4-Channel Wearable EEG for Brain-Computer Interface (BCI) and Healthcare Applications

PPAD: a deep learning architecture to predict progression of Alzheimer’s disease

Energy Efficient AI/ML based Continuous Monitoring at the Edge: ECG and EEG Case Study

SPERTL: Epileptic Seizure Prediction using EEG with ResNets and Transfer Learning

Simulation Testbed for Evaluating Distributed Querying and Searching of Mass Spectrometry Big Data in a Network-based Infrastructure

Search feasibility in distributed MS-proteomics big data