SRI International researcher spanning tactile robot learning and ML-based fault diagnosis for autonomous VTOL aircraft
2
papers here
2
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
11
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-10-15) 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: publication-volume and venue-level output data are insufficient in the current snapshot. This axis would measure total works, venue quality, and per-year productivity once complete OpenAlex output records are ingested.
Impact—
Not yet scored: citation counts, citation trajectories, and venue impact records are insufficient for this snapshot. Once available, this axis would measure citation-based influence, such as citations per work and field-weighted impact.
Focus0/100
The focus score is 0, the lowest possible, and the raw data explains why: the OpenAlex field distribution splits evenly (0.5/0.5) between robotics/robot learning and aerospace UAV fault diagnosis with machine learning, and topic counts spread across five clusters — Structural Analysis and Optimization (26), Advanced Control Systems Optimization (23), Soft Robotics (14), Adaptive Dynamic Programming Control (14), and Control Systems and Identification (11).
Collaboration46/100
Collaboration scores 46, a mid-range level. The snapshot lists 9 distinct coauthors in the recent window; recurring partners include Hanchu Zhou, Brendan Lynch, Dechen Gao, and Raman Goyal. On the two reviewed 2026 arXiv papers he is a middle author on Agile-WAM and last author on the VTOL fault-diagnosis paper, suggesting he contributes within multi-author teams rather than always leading them.
Activity81/100
Activity scores 81, reflecting a consistently publishing record. OpenAlex counts 15 works over the most recent three-year window, and the per-year series climbs from 2 works in 2017 to a peak of 11 in 2021, holds at 10 in 2023, dips to 4 in 2024, then recovers to 5 in 2025 and 6 in 2026. Both reviewed 2026 arXiv papers fall in this recent stretch.
Reproducibility38/100
Reproducibility scores 38, computed from Evolve reviews of 2 papers (reproMean 38, reproPapers 2). Agile-WAM is rated medium readiness, while the VTOL fault-diagnosis framework is rated low, with the review flagging likely inflation of its 99%+ localization and 96.4% severity figures from window-level train/test overlap. A two-paper sample makes this score indicative rather than definitive.
Research summary
Atanu Halder is a researcher at SRI International (US) whose profile is name-resolved from public OpenAlex bibliographic data. His record spans two adjacent domains: robotics/robot learning and aerospace engineering focused on machine-learning fault diagnosis for autonomous VTOL aircraft, with the OpenAlex field distribution splitting evenly (0.5/0.5) between them. Bibliometrically, his output grows steadily: from 2 works in 2017 to a peak of 11 in 2021 and 10 in 2023, with 15 works in the most recent three-year window and an h-index of 11 (i10-index 13). Topic modeling places his core clusters in Structural Analysis and Optimization (26 works), Advanced Control Systems Optimization (23), Soft Robotics and Applications (14), Adaptive Dynamic Programming Control (14), and Control Systems and Identification (11). Evolve has reviewed two 2026 arXiv papers: Agile-WAM, a tactile world-action flow model reporting wins on 14 tasks at roughly 10 ms (gains judged plausible, though headline statistics and baseline fairness warrant scrutiny), and a CNN-based fault detection, isolation, and severity framework tested on real hexacopter flights, whose 99%+ localization and 96.4% severity figures may be inflated by window-level train/test overlap. Reproducibility readiness is modest (mean 38 across the two reviewed papers), and collaboration sits mid-range with 9 distinct recent coauthors.
Collaboration pattern
Collaboration data shows 9 distinct coauthors in the recent window (collaboration score 46, mid-range). Recurring partners include Hanchu Zhou, Brendan Lynch, Dechen Gao, Begum Kasap, Boqi Zhao, Junshan Zhang, Ripon C. Sarker, Pedram H. Dabaghian, and Raman Goyal. His authorship positions on the two reviewed 2026 papers — middle on Agile-WAM and last on the VTOL fault-diagnosis paper — suggest contributions within multi-author teams spanning robotics and aerospace-ML groups.
Research keywords
Highlights
Agile-WAM: tactile world-action flow model at ~10 ms
CNN fault detection, isolation and severity for autonomous VTOL
Timeline
- 2017Visible record begins: OpenAlex counts 2 works in 2017, rising to 3 in 2018.
- 2019Output reaches 6 works, continuing growth toward the 9 works recorded in 2020.
- 2021Peak annual output: 11 works in 2021, the highest value in the 2017–2026 series.
- 2023Sustained pace with 10 works in 2023 before a dip to 4 in 2024.
- 2026Two 2026 arXiv papers enter the Evolve catalog (Agile-WAM; VTOL fault diagnosis), within 6 works recorded so far for 2026.
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 metrics (h-index 11, i10-index 13, counts by year, topics) come from an OpenAlex identity resolution only; no Google Scholar or Scopus cross-check.
- The output and impact dimensions are unscored because the underlying data is insufficient in this snapshot.
- Reproducibility is based on only 2 reviewed papers (both 2026 arXiv preprints); the score is indicative, not comprehensive.
- Profile is name-resolved from public bibliographic data (OpenAlex); affiliation and paper attribution follow the provided record for ORCID 0000-0002-8128-3051.