Cyber-physical security researcher: physics-constrained digital twins with conformal guarantees for sensor integrity
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papers here
1
reviewed by Evolve
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first-author
0
corresponding
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works · OpenAlex
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h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-21) 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: only one reviewed arXiv preprint is in scope, so publication volume and venue record cannot be measured. This axis would track cumulative paper counts, venue tiers, and output cadence.
Impact—
Not yet scored: citation counts, h-index, and downstream uptake are unavailable in the current data. This axis would measure citation-based influence, such as citations per paper and referencing venues, once the record matures.
Focus100/100
Scored 100 because the entire reviewed record falls in a single field — cyber-physical systems security (smart city sensing / spatio-temporal anomaly detection). With only one catalogued paper, this reflects a sharply concentrated topical profile rather than demonstrated breadth, and the score should be revisited as the corpus grows.
Collaboration32/100
Scored 32 from 4 distinct coauthors to date, indicating a small, tight collaboration network. The recurring group includes Fatemeh Ghasemi, Mohammadhossein Homaei, Andres Caro, and Mar Avila; on the single reviewed paper he is first author without corresponding status, consistent with an early-career team setting.
Activity—
Not yet scored: the record spans only a 2026 arXiv preprint, so publishing cadence and year-over-year output cannot be characterized. This axis would measure research activity over time, including publication frequency and continuity across years.
Reproducibility100/100
Scored 100 from reproMean 100 computed over 1 paper, with the reviewed digital-twin/FDI paper rated high for reproducibility readiness. This is a strong but narrow signal: it reflects a single, unusually well-documented study rather than a sustained reproducibility track record, so the score rests on limited evidence.
Research summary
Oscar Mogollon Gutierrez (ORCID 0000-0003-2980-9236) is an early-stage researcher working in cyber-physical systems security, specifically smart-city sensing and spatio-temporal anomaly detection. The Evolve catalog currently holds one reviewed paper: a 2026 arXiv preprint on which he is first author, presenting physics-constrained digital twins for sensor integrity in urban pedestrian flow. The method embeds flow-conservation constraints into a pedestrian digital twin and couples them with conformal prediction to detect stealthy false data injection. Evolve's verdict: the conservation-constrained twin shrinks stealthy FDI corruption, with a margin of 0.54 at one device and 0.19 at a third of the fleet — rigorous, but evaluated in a single city. Bibliometrics show a narrow yet deep footprint: focus scores 100 because all catalogued output lies in one field; reproducibility scores 100 (reproMean 100 across 1 paper, reproReadiness high); collaboration scores 32 from 4 distinct coauthors, including frequent collaborators Fatemeh Ghasemi, Mohammadhossein Homaei, Andres Caro, and Mar Avila. Output, impact, and activity lack sufficient data and are not scored. Institution and country are not recorded.
Collaboration pattern
Oscar Mogollon Gutierrez works within a small, stable team: 4 distinct coauthors appear in the record, and the same four names recur as frequent collaborators — Fatemeh Ghasemi, Mohammadhossein Homaei, Andres Caro, and Mar Avila. On the single reviewed paper he is first author but not corresponding, suggesting a lead-contributor role rather than independent supervision. The collaboration dimension scores 32, consistent with a compact early-career network centered on one cyber-physical security project.
Research keywords
Highlights
Conservation-constrained twin shrinks stealthy false-data-injection corruption
High reproducibility readiness
Rigorous but single-city evaluation
Timeline
- 2026First reviewed paper posts to arXiv: physics-constrained digital twins for sensor integrity in urban pedestrian flow, with him as first author.
- 2026Evolve review records stealthy FDI detection margins of 0.54 at one device and 0.19 at a third of the fleet, rated rigorous but single-city.
- 2026Profile baseline: 4 distinct coauthors, focus 100, reproducibility 100 (reproMean 100, 1 paper); output, impact, and activity left unscored.
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.
- Bibliometric scores are computed from OpenAlex-derived bibliometric data and cover only the reviewed Evolve catalog (1 paper).
- Identity is name-resolved from public bibliographic data via ORCID 0000-0003-2980-9236; institution and country are not recorded.
- Output, impact, and activity are unscored because the available record is a single 2026 arXiv preprint.
- Collaboration, focus, and reproducibility scores rest on very few records and should be read as provisional.