Machine-learning researcher at IIT Indore working on broad learning systems and EEG-based Alzheimer's diagnosis
3
papers here
0
reviewed by Evolve
1
first-author
0
corresponding
—
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—
This axis measures total publication volume and productivity over time. The OpenAlex snapshot provides no reliable career-wide output count for this profile (only 6 works in the last three years), so no score can be computed yet.
Impact—
Impact tracks citations, h-index and citing works. The snapshot reports h-index 0 and i10-index 0 with no citation detail, which may reflect name-attribution limits rather than measured impact; no score is assigned.
Focus—
Focus measures topical concentration versus dispersion across a career. The snapshot lists five OpenAlex topics but no normalized focus score, so concentration cannot be ranked yet, even though topics clearly center on broad learning and EEG applications.
Collaboration50/100
With a radar collaboration score of 50 and 11 distinct co-authors in the snapshot, A. Rahaman works in a moderately sized, team-based setting. The frequent co-author list is anchored on M. Tanveer, with recurring collaborators including A. Quadir, M. Sajid, M. Akhtar / Mushir Akhtar, A. Varshney and Mohd. Arshad, plus several early-career co-authors, consistent with a research-group cluster at IIT Indore.
Activity57/100
The activity score of 57 rests on 6 works recorded in the last three years, all attributed to 2026 in countsByYear, including three arXiv preprints in the Evolve catalog. All catalog entries date to 2026, so the record reflects a recent, currently active burst rather than a long publication history.
Reproducibility—
Reproducibility measures whether code, data and evaluation details are released with papers. Evolve has not published repro-readiness verdicts for this researcher's catalog entries, so the axis has no underlying data yet and is left unscored rather than estimated.
Research summary
A. Rahaman is a machine-learning researcher at the Indian Institute of Technology Indore whose recent work centers on broad learning systems — an efficient neural-network family that the OpenAlex topic data links with extreme learning machines (ELM) — and on generative graph models for brain signals. This profile is name-resolved from public OpenAlex bibliographic data. The snapshot records 6 works in the last three years, 11 distinct co-authors, and five topics led by Neural Networks and Applications (5) and Machine Learning and ELM (5), with smaller clusters in data classification, dementia and cognitive impairment, and EEG and brain-computer interfaces. Three 2026 arXiv preprints from the Evolve catalog define the visible record. As first author, Rahaman proposes ECA-BLS, an efficient complex-augmented broad learning system; as a middle author, Rahaman contributes to a robust broad learning system with Wave Loss for classification under data uncertainty, and to GraM-Diff, a unified Graph-Mamba diffusion framework for EEG-based Alzheimer's disease data generation and diagnosis. Together they sketch a coherent agenda: making broad learning robust and efficient, then extending it toward clinical neuroinformatics. Impact indicators are not yet informative — h-index and i10-index both read 0 in the snapshot — and no reproducibility verdicts exist for the catalog entries. Radar scores are available only for collaboration (50) and activity (57); output, impact, focus, and reproducibility are unscored pending data. Treat this as an early-stage profile.
Collaboration pattern
The collaboration radar score is 50, with 11 distinct co-authors in the snapshot. The network is anchored on M. Tanveer, with A. Quadir, M. Sajid, M. Akhtar / Mushir Akhtar, A. Varshney and Mohd. Arshad recurring, alongside early-career co-authors such as Ayush Singh Rana, Sanskriti Jain, Arnav Kumar and Aryaman Tiwari. Authorship spans first- and middle-author roles on arXiv preprints, consistent with contribution inside a research group at IIT Indore.
Research keywords
Highlights
First-author ECA-BLS: an efficient complex-augmented broad learning system
As first author on this 2026 arXiv preprint, A. Rahaman leads ECA-BLS, which augments the broad learning system with complex-valued representations for efficiency; it is the only catalog entry where Rahaman holds first-author position.
Robust broad learning under data uncertainty with Wave Loss
This 2026 arXiv preprint (middle-author position) brings Wave Loss into the broad learning system so that classification stays robust when training data are uncertain — the most direct expression of the uncertainty-robustness thread in the topic profile.
GraM-Diff: Graph-Mamba diffusion for EEG-based Alzheimer's diagnosis
A middle-author contribution on a 2026 arXiv preprint that combines graph state-space (Mamba) architectures with diffusion models to generate EEG data and support Alzheimer's disease diagnosis, extending the profile's dementia and EEG topic clusters into generative modeling.
Timeline
- 2026Posts ECA-BLS, an efficient complex-augmented broad learning system, to arXiv as first author.
- 2026Co-authors a robust broad learning system with Wave Loss for classification under data uncertainty (arXiv).
- 2026Co-authors GraM-Diff, a unified Graph-Mamba diffusion framework for EEG-based Alzheimer's data generation and diagnosis (arXiv).
- 2026OpenAlex attributes all 6 works from the last three years to 2026, recorded with 11 distinct co-authors.
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.
- All bibliometrics come from an OpenAlex name-resolved snapshot (h-index 0, i10-index 0); citation and output indicators are likely incomplete for this name and should not be read as career-level impact.
- Only three 2026 arXiv preprints from the Evolve catalog are reviewed; no journal papers, evolveVerdict, keywords, or reproReadiness fields are available yet.
- Radar scores exist only for collaboration (50) and activity (57); output, impact, focus and reproducibility lack sufficient data and are not scored.
- No ORCID is linked, and the frequent-coauthor list mixes name forms (e.g. M. Akhtar and Mushir Akhtar may be the same person), so distinct co-author counts may be slightly inflated.