Muhammed Mohaimin Sadiq
This is a likely match — the affiliation was inferred from OpenAlex, ORCID, and web sources but has not been fully confirmed. Treat with appropriate caution.
Ph.D Candidate
Also affiliated: The University of Texas at Austin (2020)
Formerly Arkansas Affiliated with UA Little Rock through 2024; recent publications list University of Arkansas System.
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Muhammed Mohaimin Sadiq's research focuses on the application of machine learning techniques for the detection of epileptic seizures using electroencephalogram (EEG) data. His work involves developing novel feature selection methods, specifically utilizing Hellinger distance, to improve classification accuracy. Sadiq has published research in this area, including work on novel EEG classification based on Hellinger distance for seizure epilepsy detection and novel EEG feature selection based on Hellinger distance for epileptic seizure detection.
He has a developing publication record with 5 total publications and 37 citations, achieving an h-index of 2. Sadiq collaborates with other researchers at the University of Arkansas at Little Rock, including Mariofanna Milanova, with whom he shares 2 publications. His most recent publication was in 2025, indicating his recent activity in the field.
Metrics
- h-index: 2
- Publications: 5
- Citations: 39
Positions
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Ph.D Candidate publications 2024–2025University of Arkansas at Little Rock Computer Science ORCID
Selected Publications
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Novel EEG feature selection based on hellinger distance for epileptic seizure detection (2025)
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Novel EEG Classification Based on Hellinger Distance for Seizure Epilepsy Detection (2024)
Collaboration Network
Top Collaborators
- Novel EEG Classification Based on Hellinger Distance for Seizure Epilepsy Detection
- Novel EEG feature selection based on hellinger distance for epileptic seizure detection
- Novel EEG Classification Based on Hellinger Distance for Seizure Epilepsy Detection
- Novel EEG feature selection based on hellinger distance for epileptic seizure detection
- Novel EEG Classification Based on Hellinger Distance for Seizure Epilepsy Detection
- Novel EEG feature selection based on hellinger distance for epileptic seizure detection
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