NLP researcher working on Indic machine translation resources and controlled forensic dialogue summarization
2
papers here
0
reviewed by Evolve
0
first-author
0
corresponding
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works · OpenAlex
0
h-index · OpenAlex
Bibliometric figures come from OpenAlex (2026-09-28) 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—
Insufficient data: the OpenAlex snapshot shows h-index 0, i10-index 0, and only 2 works recorded in 2026, too thin to score output. This axis would measure publication volume, venue quality, and consistency over time.
Impact—
No citation counts are available for the 2026 preprints, so impact cannot be scored. This axis would measure citations, referencing works, and uptake of the released corpus and methods by other researchers.
Focus—
The five OpenAlex topic labels (e.g., topic modeling, 2 works) are too few and too recent to establish a stable focus score. This axis would measure concentration and coherence of research themes over time.
Collaboration66/100
Scoring 66/100, collaboration is this profile's strongest axis. The OpenAlex record lists 26 distinct coauthors, with 12 recurring partners including A Aditya Bhardwaj, Arjit Singh Arora, and Nitin Kumar Mishra. Authorship positions span the range: middle author on the COILD corpus paper and last author on the interrogative-dialogue summarization work, suggesting both contributor and senior-supervision roles, though neither paper is marked corresponding.
Activity32/100
Scoring 32/100, current activity is modest but entirely recent: both cataloged works are 2026 arXiv preprints, and countsByYear shows 2 works in 2026 with no earlier years in the snapshot, matching recent3yWorks = 2. This concentration suggests a newly visible or emerging record rather than a sustained multi-year cadence.
Reproducibility—
Insufficient data to score: the snapshot lacks artifact-release evidence, though Evolve tags both cataloged papers at medium reproducibility readiness. This axis would measure whether the COILD corpus and summarization pipelines are publicly released, documented, and independently rerunnable.
Research summary
Md Shad Akhtar is a natural language processing researcher whose publicly indexed work, name-resolved from OpenAlex bibliographic data, centers on Indian-language machine translation resources and controlled summarization of interrogative dialogues. The Evolve catalog holds two 2026 arXiv preprints: COILD, a middle-author contribution presenting an Indic-pivot parallel corpus and benchmark claiming 1.16M human-verified translation pairs across 20 language pairs, and a last-author study of controlled attribute-specific summarization using CASPER prompting with a RoleEval hierarchy for forensic dialogue summarization. OpenAlex topic assignments echo this spread: topic modeling (2 works) alongside natural language processing techniques, translation studies and practices, deception detection and forensic psychology, and text readability and simplification (1 each). The collaboration dimension scores 66, supported by 26 distinct coauthors and 12 recurring collaborators; the activity dimension scores 32, reflecting 2 works in the recent three-year window with 2026 as the only year in the counts-by-year record. Citation indicators sit at the floor (h-index 0, i10-index 0), consistent with very new preprints that have not yet accumulated citations. Evolve's verdicts flag both papers as valuable resources or methods with unresolved evaluation gaps, characterizing an early-stage, resource-and-methods-oriented profile.
Collaboration pattern
The OpenAlex record shows 26 distinct coauthors, with a core of 12 recurring collaborators, including A Aditya Bhardwaj, Arjit Singh Arora, Nitin Kumar Mishra, Palash Pratim Dutta, and Saroj Kumar Jha. On the two cataloged 2026 papers Akhtar appears as a middle author on the COILD corpus paper and as last author on the dialogue-summarization work, and is not marked corresponding on either — a pattern of team-based resource building plus senior-position involvement.
Research keywords
Highlights
COILD: Indic-pivot parallel corpus and benchmark for Indian-language MT
CASPER: controlled attribute-specific summarization of interrogative dialogues
Dual-track 2026 output: low-resource corpus building and controlled summarization methods
Within a single year the catalog shows both a large resource contribution and a prompting-method study, matching OpenAlex topics spanning topic modeling, translation studies, and deception detection — an early but broad natural language processing footprint.
Timeline
- 2026OpenAlex counts-by-year data records 2 works for 2026, both falling inside the recent three-year window (recent3yWorks = 2).
- 2026COILD preprint released on arXiv: an Indic-centric parallel corpus and benchmark claiming 1.16M human-verified MT pairs across 20 language pairs.
- 2026Last-author arXiv preprint on controlled attribute-specific summarization of interrogative dialogues introduces CASPER prompting with a RoleEval hierarchy.
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 indicators are drawn from OpenAlex only; h-index 0 and i10-index 0 reflect the indexing snapshot, not a citation audit.
- Identity is name-resolved from public bibliographic data; institution, country, and ORCID are absent from the source record.
- Only 2 works (both 2026 arXiv preprints) are in the Evolve catalog; venue acceptance and citation history are not yet visible.
- Early-stage profile: collaboration (66) and activity (32) are the only scored radar dimensions; output, impact, focus, and reproducibility lack sufficient data.