First-author researcher building rigorous, reproducible methods in time-series forecasting and certified data retrieval
3
papers here
3
reviewed by Evolve
3
first-author
3
corresponding
—
works · OpenAlex
2
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-01) 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—
Not yet scored: the visible output record is too thin for a reliable volume measure (h-index 2, i10-index 1 on a short career). This axis would measure publication count, venue quality, and yearly output.
Impact—
Not yet scored: citation influence cannot be fairly read from one i10-index paper and minimal aggregate citations. This axis would measure citation counts, downstream adoption, and scholarly reach of the work.
Focus0/100
The focus score of 0 reflects a deliberately spread record: the OpenAlex field distribution splits evenly at 0.5 between time-series machine learning and database systems/information retrieval, and the topic list adds network security, VANETs, privacy-preserving technologies, packet processing, and musculoskeletal pain (1 paper for the latter). With only three cataloged papers, this reads as exploratory breadth rather than settled specialization.
Collaboration14/100
The collaboration score is 0 because OpenAlex records zero distinct co-authors and the frequent-coauthor list is empty, even though all three cataloged papers are first-authored arXiv preprints (one also corresponding). This likely reflects incomplete author disambiguation rather than confirmed solo work; no institutional affiliation is on record to help link co-authored versions.
Activity70/100
An activity score of 70 is grounded in a clear acceleration: recorded works went from 1 in 2023 to 2 in 2024 and 5 in 2025, with 3 already in 2026 — 10 works over the last three years. All three Evolve-reviewed preprints appeared in 2026, indicating the current burst is ongoing.
Reproducibility70/100
Reproducibility is the strongest signal: a mean score of 78 across 2 assessed papers. In the catalog, certified-freshness semantic-spatial retrieval is rated high readiness, while the revision-aware forecasting and map-labeling papers are medium — Evolve flags unrun ALFRED/Chronos-2 experiments, a synthetic learned target, and locally re-implemented baselines as the main gaps.
Research summary
Taimoor Ahmad is an early-stage researcher whose visible record is built on first-authored arXiv preprints reviewed by Evolve in 2026. Three cataloged papers span the two clusters in his OpenAlex field distribution — time-series machine learning and database systems/information retrieval (0.5 each) — plus a map-labeling contribution in information visualization. The first proposes revision-aware time-series foundation models with a rigorous, honest protocol whose real ALFRED/Chronos-2 experiments remain unrun; the second pairs an MLP scorer with a mixed-integer decoder for stable point-feature map labeling, where the learned target is synthetic; the third introduces certified, freshness-aware semantic–spatial range retrieval with a sound certified-recall design, though the pilot is tiny and certified mode runs 5.85× slower than an exact scan. An activity score of 70 reflects an accelerating cadence — 1 recorded work in 2023, 2 in 2024, 5 in 2025, and 3 already in 2026, with 10 works in the last three years. Reproducibility (78, averaged over 2 assessed papers; catalog readiness medium, medium, high) is his strongest signal. Citation indicators stay thin (h-index 2, i10-index 1), so output and impact are left unscored, and zero recorded co-authors points to incomplete author disambiguation rather than confirmed solo work.
Collaboration pattern
The visible collaboration record is empty: OpenAlex lists zero distinct co-authors and the frequent-coauthor data is blank. All three cataloged papers are first-authored arXiv preprints, one with corresponding-author status, suggesting a self-driven, small-team or solo working pattern — though zero recorded co-authors on arXiv preprints often signals unlinked author identities rather than genuinely solitary work. No institutional affiliation is available to contextualize the pattern further.
Research keywords
Highlights
Revision-aware time-series foundation models: rigorous protocol, experiments pending
Stable map labeling via learned scoring plus MILP decoding
Certified recall for freshness-aware semantic-spatial range retrieval
Timeline
- 2023First recorded work appears in the OpenAlex profile (1 work).
- 2024Recorded output doubles to 2 works.
- 2025Most productive year on record, with 5 works.
- 2026Three first-authored arXiv preprints enter the Evolve catalog — revision-aware forecasting, stable map labeling, and certified semantic-spatial retrieval — bringing the year's recorded works to 3.
Papers in the Evolve catalog
- first authorcorresponding
Time-Series Foundation Models That Understand Data Revisions
- first authorcorresponding
Constraint-Safe Graph-Context Scoring for Stable Point-Feature Labels Under Text-Width and Accessibility-Inspired Profiles
- first authorcorresponding
A Functional Pilot for Certified Freshness-Aware Semantic--Spatial Range Retrieval
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-clustering snapshot; no institution or country is on record.
- Citation indicators are thin (h-index 2, i10-index 1), so the output and impact axes are left unscored rather than estimated.
- Recorded topics (e.g., VANETs, network security, musculoskeletal pain) fall outside the three cataloged papers, suggesting possible name ambiguity in the OpenAlex profile; this profile is name-resolved from public bibliographic data.
- Only three Evolve-reviewed arXiv preprints are available; the input data contains no peer-reviewed venue record.