Fayeq Jeelani Syed†

Indiana University Indianapolis · United States

Unclaimed · AI-structured profileOpenAlex

Indiana University Indianapolis researcher applying LLM agents to Text-to-SQL, public discourse, and trustworthy AI

papers here

reviewed by Evolve

first-author

corresponding

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works · OpenAlex

h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-13) 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: this axis would measure total publication volume, per-year productivity, and venue mix. Current data provide only year-by-year work counts (13 works, 2021–2026) from OpenAlex, too partial to compute a fair output score.

Impact—

Not yet scored: this axis would capture citation-based reach — h-index, i10-index, and per-paper citations. OpenAlex lists only h-index 2 and i10-index 1 on a very recent body of work, too sparse for a reliable impact score.

Focus0/100

Scored 0/100, reflecting breadth rather than concentration: the field distribution splits exactly one-third each across NLP/databases (Text-to-SQL), NLP/computational social science, and AI safety and governance for trustworthy LLM agents. The three reviewed 2026 papers map one-to-one onto these buckets, so the low score accurately captures a deliberately multi-front early research agenda.

Collaboration44/100

Scored 44/100. Across the last three years, 11 works involve 8 distinct co-authors — small, shifting teams rather than a large stable lab. Recurring partners include Vigneshwar Ravi Rao, Rupesh Swarnakar, Jakob Morales, Monica Hegde, Rehan Ahmad, Ali Al Bataineh, and Aakriti Adhikari, with the researcher taking first author on the survey and last author on both applied papers.

Activity72/100

Scored 72/100, the strongest axis here. OpenAlex counts 6 works in 2026 — the most productive year on record — and 11 works over the last three years, following lighter output in 2025 (1 work) and 2024 (4). All three catalog entries are 2026 arXiv preprints, confirming an intense current submission pace.

Reproducibility20/100

Scored 20/100 (reproMean 20) across 3 reviewed papers, each rated low reproducibility readiness. Recurring gaps: self-built benchmarks (a 100-question Text-to-SQL set; 20 RAG queries with 300 labels and one non-blind rater), absent external baselines, and an unvalidated six-phase TADL lifecycle proposal. Code and data release is not demonstrated, keeping replication effort high.

Research summary

Fayeq Jeelani Syed is an early-career researcher at Indiana University Indianapolis (US) working where applied natural language processing meets LLM agents and AI trustworthiness. The profile is name-resolved from OpenAlex bibliographic data; no ORCID is linked. Three 2026 arXiv papers reviewed by Evolve anchor the catalog: a last-author iterative LangGraph agent for Text-to-SQL that reaches 60% execution accuracy on a self-built 100-question Chicago Crime benchmark; a first-author survey unifying agentic-AI failure modes across five trust dimensions and proposing a six-phase TADL lifecycle; and a last-author pipeline combining topic clustering, sentiment analysis, and retrieval-augmented generation over YouTube comments on urbanism. OpenAlex records 13 works between 2021 and 2026, 11 of them in the last three years, with 2026 the most productive year at 6 works. Citation footprint remains minimal (h-index 2, i10-index 1), so output and impact axes are left unscored. Field distribution splits evenly across NLP/databases, computational social science, and AI safety and governance, producing a focus score of 0; collaboration scores 44 over 8 distinct co-authors, and reproducibility scores 20, with all three reviewed papers rated low readiness owing to self-built benchmarks, missing baselines, and thin evaluation. OpenAlex topics also surface renal-transplantation and healthcare-ML themes absent from the catalog, so some name-resolution noise is possible.

Collaboration pattern

Collaboration scores 44/100: the 11 works of the past three years involve 8 distinct co-authors in small, rotating teams rather than one large lab. Recurring partners include Vigneshwar Ravi Rao, Rupesh Swarnakar, Jakob Morales, Monica Hegde, Rehan Ahmad, Ali Al Bataineh, and Aakriti Adhikari. Authorship is flexible — first author on the trust survey, last author on both applied papers.

Research keywords

Text-to-SQLLLM agentsLangGraphprompt engineeringretrieval-augmented generationtopic modelingsentiment analysisagentic AI trustworthinessprompt injectionAI governanceurban computingmachine learning in healthcare

Highlights

Text-to-SQL agent reaches 60% execution accuracy on a self-built Chicago Crime benchmark
As last author, this 2026 arXiv paper builds an iterative LangGraph agent that lifts execution accuracy to 60% on a 100-question benchmark over the Chicago Crime dataset — an honest engineering report whose missing external baselines cap its impact (reproducibility readiness: low).
First-author survey unifies agentic-AI failure modes and proposes a TADL lifecycle
This 2026 first-author survey maps failure modes and mitigation strategies for autonomous LLM systems across five trust dimensions, from prompt injection to governance, and proposes a six-phase Trustworthy Agentic Development Lifecycle (TADL) — careful synthesis, though the framework is not yet empirically validated.
RAG pipeline mines urbanism discourse from YouTube comments — with honest negative results
As last author, this 2026 paper combines BERTopic clustering, sentiment analysis, and retrieval-augmented generation on YouTube comments about urbanism, reporting negative results candidly; evaluation rests on 20 queries, 300 labels, and one non-blind rater, so findings are useful but the evidence is thin.

Timeline

2021First indexed work appears in OpenAlex — 1 publication recorded.
2023One further work is recorded; output remains sparse at this stage.
2024Productivity steps up to 4 works in the year.
2025A quieter year with 1 recorded work.
2026Most productive year: 6 works, including three arXiv preprints reviewed in the Evolve catalog (Text-to-SQL agent, agentic-AI trust survey, urbanism discourse analysis).

Papers in the Evolve catalog

Frequent co-authors

Fayeq Jeelani Syed×2 Vigneshwar Ravi Rao×1 Rupesh Swarnakar×1 Jakob Morales×1 Monica Hegde×1 Rehan Ahmad×1 Ali Al Bataineh×1 Aakriti Adhikari×1

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.

Bibliometrics are OpenAlex-only and name-resolved; no ORCID is linked, so the record may merge or miss same-name works.
OpenAlex topics include renal-transplantation and healthcare-ML themes absent from the reviewed catalog, suggesting possible homonym mixing or unreviewed work.
All three catalog papers are 2026 arXiv preprints; peer-reviewed venue status is not verified.
Output and impact axes are unscored because citation data (h-index 2, i10-index 1) is too sparse on this very recent body of work.