IIT Indore machine learning researcher: broad learning systems, robust classification, EEG-based Alzheimer's diagnosis
3
papers here
0
reviewed by Evolve
1
first-author
0
corresponding
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works · OpenAlex
0
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—
The output score is not computed: this OpenAlex identity lacks a reliable publication count, reporting h-index and i10-index of 0, which likely reflects sparse indexing rather than true productivity. This axis would measure cumulative publication volume over time.
Impact—
Impact data is insufficient: citation counts, h-index trajectory, and venue-level influence are unavailable or return zero for this identity, so no score is given. This axis would measure total citations, citing works, and scholarly uptake of the research.
Focus—
The focus score is not yet computed; it would measure how concentrated or dispersed the publication record is across research topics. Only a small preliminary OpenAlex topic list is available (5 topics, led by machine learning and ELM with 3 works).
Collaboration50/100
Scores 50 on the collaboration axis. The OpenAlex record lists 11 distinct co-authors within a recent three-year window covering 4 works — a moderately sized network for that output volume. Recurring names include Mushir Akhtar (also recorded as 'M. Akhtar', likely the same person), M. Sajid, A. Rahaman, and A. Quadir, with A. Varshney, Mohd. Arshad, Ayush Singh Rana, Sanskriti Jain, Arnav Kumar, and Aryaman Tiwari also appearing across the 2026 arXiv preprints.
Activity47/100
Scores 47 on the activity axis. The record shows 4 works in the recent three-year window, and countsByYear attributes all 4 to 2026 alone, with no earlier years present in this snapshot. Output is therefore recent and concentrated in a single year; the moderate score reflects a short observable track record rather than a decline, and whether output sustains beyond 2026 is not yet measurable.
Reproducibility—
No reproducibility score exists: Evolve's reproReadiness field is null for all three catalogued arXiv papers, and code or data availability has not been assessed. This axis would measure released code, open datasets, and reproducibility documentation.
Research summary
M. Tanveer is a researcher at the Indian Institute of Technology Indore whose work centres on machine learning architectures for classification and, more recently, on EEG-based computational diagnostics. This profile is name-resolved from public OpenAlex bibliographic data; all three papers currently in the Evolve catalog are 2026 arXiv preprints. Two advance the Broad Learning System (BLS) family of neural networks: one introduces a wave-loss formulation for robust classification under data uncertainty, and the other, ECA-BLS, proposes an efficient complex-augmented BLS variant. The third, GraM-Diff, is a first-authored framework combining a Graph-Mamba backbone with diffusion models to generate EEG data and support Alzheimer's disease diagnosis, extending the agenda toward clinical neuroinformatics. OpenAlex topic labels corroborate this dual track: three works on machine learning and ELM, two on neural network applications, two on data classification, and one each on dementia research and EEG brain-computer interfaces. Bibliometric coverage is thin: the record shows 4 works in the recent three-year window — all attributed to 2026 — with 11 distinct co-authors, while h-index and i10-index are both recorded as 0, most plausibly reflecting incomplete indexing of a very recent identity rather than an established citation record. Evolve's radar scores collaboration 50 and activity 47; the output, impact, focus, and reproducibility axes await sufficient data. No ORCID is linked, so identity confirmation is advised.
Collaboration pattern
Eleven distinct co-authors are recorded across 4 recent works — a compact network. The frequent-coauthor list mixes apparent name variants ('M. Akhtar' and 'Mushir Akhtar') with recurring collaborators such as M. Sajid, A. Rahaman, and A. Quadir, plus A. Varshney, Mohd. Arshad, Ayush Singh Rana, Sanskriti Jain, Arnav Kumar, and Aryaman Tiwari on the 2026 arXiv preprints. Collaboration radar score: 50.
Research keywords
Highlights
GraM-Diff: first-authored EEG generative-diagnostic framework
As first author, M. Tanveer led GraM-Diff (arXiv, 2026), a unified framework combining a Graph-Mamba backbone with diffusion models to generate EEG data and support Alzheimer's disease diagnosis — the catalog entry connecting this researcher to dementia research and EEG brain-computer interface topics.
ECA-BLS: efficient complex-augmented broad learning system
Listed in the final author position on ECA-BLS (arXiv, 2026), which proposes an efficient complex-augmented Broad Learning System, extending the BLS family of neural networks toward richer feature representations.
Robust broad learning with wave loss under data uncertainty
A middle-position co-authored paper (arXiv, 2026) introducing a wave loss into the Broad Learning System to keep classification robust when training data is uncertain, consistent with the record's machine learning and data classification topic labels.
Timeline
- 2026OpenAlex records 4 works for this identity in the recent three-year window, all attributed to 2026, alongside 11 distinct co-authors.
- 2026GraM-Diff preprint released with M. Tanveer as first author, applying a Graph-Mamba diffusion framework to EEG-based Alzheimer's disease data generation and diagnosis.
- 2026ECA-BLS preprint released with M. Tanveer in the final author position, proposing an efficient complex-augmented Broad Learning System.
- 2026Robust Broad Learning System with Wave Loss preprint released, addressing classification under data uncertainty.
Papers in the Evolve catalog
Frequent co-authors
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.
- Bibliometrics derive from OpenAlex only; h-index and i10-index are recorded as 0, likely reflecting incomplete citation capture for this identity.
- All three catalogued papers are 2026 arXiv preprints; no peer-reviewed venue, Evolve review verdict, keyword metadata, or reproducibility assessment is available yet.
- No ORCID is linked; 'M. Tanveer' is name-resolved from public bibliographic data and identity should be verified against the intended researcher.
- The frequent-coauthor list contains apparent name variants (e.g., 'M. Akhtar' and 'Mushir Akhtar'), so the count of distinct collaborators may be slightly overstated.