A. Quadir

Indian Institute of Technology Indore · India

Unclaimed · AI-structured profileOpenAlex

Machine learning researcher at IIT Indore working on Broad Learning Systems and EEG-based Alzheimer's disease diagnosis

papers here

reviewed by Evolve

first-author

corresponding

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works · OpenAlex

h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-17) and cover the author's entire public record, not just the papers listed here. Reproducibility signal comes from Evolve's own reviews.

Research profile

Output—

This axis measures cumulative publication volume and productivity trends. The OpenAlex record currently shows an h-index of 0 and too few indexed works for a reliable output score, so it is left unscored rather than estimated.

Impact—

This axis would measure citation-based influence such as citations per work and h-index trajectory. Current data provide no citation counts (h-index and i10-index both recorded as 0), so influence cannot yet be assessed and is not estimated here.

Focus—

This axis would measure how concentrated research topics are over time. Only three 2026 works with five topic labels are available, too little history to characterize a stable research focus, so the axis is left unscored.

Collaboration50/100

The record shows 11 distinct coauthors across 3 works in the last three years, yielding a mid-range collaboration score of 50. All three catalog papers list this researcher in a middle author position, and the recurring coauthor pool includes A. Rahaman, M. Tanveer, M. Sajid, and M. Akhtar, suggesting team-based machine-learning projects rather than solo work.

Activity40/100

Activity is scored 40: all 3 recorded works fall in 2026 (countsByYear shows a single year with 3 publications, and recent3yWorks equals 3), indicating a concentrated recent burst — three arXiv preprints within one year — but a short recorded history and no indexed citations (h-index 0) so far.

Reproducibility—

This axis would measure artifact availability, code release, and Evolve reproducibility verdicts. No reviewed paper in the catalog has a reproducibility assessment yet (reproReadiness is null for all three), so this axis is left unscored.

Research summary

A. Quadir is a researcher affiliated with the Indian Institute of Technology Indore, India, whose profile is name-resolved from public OpenAlex bibliographic data. The current record is small but concentrated: three works, all dated 2026 and posted as arXiv preprints, with the researcher in a middle author position on each. Two of these papers develop Broad Learning System (BLS) architectures — one introduces a Wave Loss for robust classification under data uncertainty, the other (ECA-BLS) adds efficient complex-valued augmentation — while a third, GraM-Diff, applies a graph-Mamba diffusion framework to EEG data for Alzheimer's disease generation and diagnosis. OpenAlex topic assignments mirror this split: Neural Networks and Applications (2 works), Machine Learning and ELM (2), and single works in dementia and cognitive impairment, EEG and brain-computer interfaces, and emotion and mood recognition. The record lists 11 distinct coauthors over the last three years, with recurring collaborator names including A. Rahaman, M. Tanveer, M. Sajid, and M. Akhtar. Citation indicators are not yet established (h-index and i10-index both recorded as 0), making this an early-stage profile whose research direction is coherent but whose impact data remains to accumulate.

Collaboration pattern

The record shows 11 distinct coauthors across 3 works in the last three years, supporting a mid-range collaboration score of 50. On all three catalog papers A. Quadir appears as a middle author rather than first or corresponding author. Recurring collaborator names include A. Rahaman, M. Tanveer, M. Sajid, M. Akhtar, A. Varshney, Mohd. Arshad, and Ayush Singh Rana, consistent with small team projects around Broad Learning Systems and EEG-based modeling.

Research keywords

Broad Learning System (BLS)Extreme Learning Machine (ELM)Neural networksRobust classification under data uncertaintyComplex-valued augmentationWave LossDiffusion modelsGraph-Mamba (state-space models)EEG signal analysisAlzheimer's disease diagnosisData augmentation for medical signalsEmotion and mood recognition

Highlights

Robust Broad Learning System with Wave Loss
A 2026 arXiv preprint co-authored by A. Quadir (middle author position, non-corresponding) that adds a Wave Loss to a Broad Learning System, targeting robust classification under data uncertainty.
ECA-BLS: An Efficient Complex-Augmented Broad Learning System
A 2026 arXiv preprint (middle authorship) proposing ECA-BLS, a Broad Learning System variant built with efficient complex-valued augmentation, extending the same BLS research thread as the Wave Loss paper.
GraM-Diff: Graph-Mamba Diffusion for EEG-Based Alzheimer's Data
A 2026 arXiv preprint (middle authorship) presenting a unified graph-Mamba diffusion framework for EEG-based Alzheimer's disease data generation and diagnosis, linking the record's machine-learning work to its dementia and EEG topic labels.

Timeline

2026Recorded activity begins and concentrates in a single year: countsByYear shows 3 publications in 2026, matching recent3yWorks of 3, all posted as arXiv preprints.
2026Co-authored 'Robust Broad Learning System with Wave Loss for Classification under Data Uncertainty' in a middle author position.
2026Co-authored 'ECA-BLS: An Efficient Complex-Augmented Broad Learning System', the second Broad Learning System paper in the record.
2026Co-authored 'GraM-Diff', applying a unified graph-Mamba diffusion framework to EEG-based Alzheimer's disease data generation and diagnosis.

Papers in the Evolve catalog

No reviewed papers yet.

Frequent co-authors

A. Rahaman×3 M. Tanveer×3 M. Sajid×2 M. Akhtar×1 Mushir Akhtar×1 A. Varshney×1 Mohd. Arshad×1 Ayush Singh Rana×1 Sanskriti Jain×1 Arnav Kumar×1 Aryaman Tiwari×1

About this profile

This profile is AI-structured by Evolve.Pub from public bibliographic data (OpenAlex) and Evolve's own paper reviews. It is not written or endorsed by the researcher unless the profile is claimed. Radar dimensions are computed from real bibliometrics with fixed formulas — raw figures are shown alongside; missing dimensions mean insufficient data, never zero. Errors? Claim the profile to correct or hide it.

Bibliometric indicators (h-index, i10-index, topics, coauthor counts) come from an OpenAlex name-resolved record; 'A. Quadir' is an initial-led name, so author disambiguation may be imperfect.
Only three 2026 arXiv works are in scope; peer-reviewed versions, citation counts, and pre-2026 output are not reflected in this profile.
No Evolve review verdicts, keywords, reproducibility readiness, or paper slugs exist yet for the listed papers, and four of the six radar axes are unscored for lack of data.
Coauthor entries 'M. Akhtar' and 'Mushir Akhtar' appear separately and may refer to the same person; the 11-coauthor count is not deduplicated.