Fayeq Jeelani Syed

—

Unclaimed · AI-structured profilename-matched identity

Researcher at the intersection of trustworthy agentic AI and applied NLP for public-discourse analysis.

papers here

reviewed by Evolve

first-author

corresponding

—

works · OpenAlex

—

h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-12) 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: no publication-count or productivity records are available yet. This axis would measure cumulative and annual research output — number of papers, venues, and authorship roles. Evolve's catalog currently holds only two reviewed entries, too few to score.

Impact—

No citation counts, h-index, or influence metrics are available yet. This axis would measure the uptake of this researcher's work — citations, downloads, and downstream adoption by other studies. With only two recent arXiv preprints in scope, any impact estimate would be premature and is not scored.

Focus0/100

The focus score is 0, reflecting an even 50/50 split of cataloged work between natural language processing / computational social science and AI safety and governance (trustworthy LLM agents). Rather than deep specialization in one line, current output spans two distinct tracks: an agentic-AI trust survey and an applied NLP study of urbanism discourse. The record is too early to tell whether one direction will consolidate.

Collaboration36/100

Collaboration scores 36 from 5 distinct coauthors on record — Jakob Morales, Monica Hegde, Rehan Ahmad, Ali Al Bataineh, and Aakriti Adhikari. Both cataloged papers are co-authored: a first-authored agentic-AI survey and a last-authored applied NLP study, indicating experience at both the leading and supervising ends of the author list. The network is small so far, consistent with an early-stage record.

Activity—

Insufficient data on publication cadence. This axis would measure research tempo — intervals between releases, sustained output in recent years, and ongoing projects. Only two 2026 preprints are on record, which cannot yet establish whether this reflects sustained activity or simply an early-career snapshot.

Reproducibility20/100

Reproducibility averages 20 across the 2 papers with a readiness assessment, both rated low. The agentic-AI survey is a synthesis without new evidence and proposes a lifecycle framework that remains unvalidated; the urbanism RAG study reports an honest pipeline with negative results, but rests its evaluation on 20 queries, 300 labels, and a single non-blind rater. Neither paper yet meets a high bar for independent replication.

Research summary

Fayeq Jeelani Syed is an early-stage researcher whose reviewed record spans two distinct tracks: AI safety and governance around trustworthy LLM agents, and natural language processing applied to computational social science. Evolve's catalog holds two 2026 arXiv preprints. The first, first-authored, is a survey of trustworthy agentic AI that unifies failure modes and mitigation strategies across five trust dimensions — from prompt injection to alignment and governance — and proposes a six-phase TADL lifecycle for autonomous LLM systems; Evolve rates it careful synthesis without new evidence, with the lifecycle still unvalidated. The second, last-authored, applies topic clustering (BERTopic), sentiment analysis, and retrieval-augmented generation to YouTube comments on urbanism, reporting honest negative results even though its evaluation rests on 20 queries, 300 labels, and a single non-blind rater. Quantitatively the record is thin: collaboration scores 36 with 5 distinct coauthors on file, focus scores 0 on an exact 50/50 split between the two fields, and reproducibility averages 20 with both papers rated low readiness. Output, impact, and activity metrics are not yet available and are left unscored. No institution, country, or ORCID is on file; the profile is name-resolved from public bibliographic data only.

Collaboration pattern

The record shows 5 distinct coauthors — Jakob Morales, Monica Hegde, Rehan Ahmad, Ali Al Bataineh, and Aakriti Adhikari — with a collaboration score of 36. Both papers are co-authored, and the authorship position flips from first author on the agentic-AI survey to last author on the urbanism study, suggesting roles at both the writing-leading and supervising ends of a small, early-stage team.

Research keywords

agentic AILLM agentsprompt injectionAI alignmenttrustworthy AIAI governanceurban computingsentiment analysisretrieval-augmented generationtopic modelingBERTopicYouTube comments

Highlights

Survey unifies agentic-AI failure modes across five trust dimensions
As first author, this 2026 arXiv survey consolidates failure modes and mitigation strategies for autonomous LLM systems under one framework spanning five trust dimensions, from prompt injection to alignment and governance gaps. Evolve's verdict: careful synthesis, no new evidence.
Proposes TADL, an unvalidated six-phase lifecycle for autonomous LLM systems
The same survey introduces a six-phase TADL lifecycle for building and governing autonomous LLM agents. The framework is a conceptual contribution — Evolve notes it has not yet been validated against real deployments, so it should be read as a proposal rather than a tested method.
RAG pipeline for urbanism discourse on YouTube, with honest negative results
As last author, contributed to a 2026 study combining topic clustering (BERTopic), sentiment analysis, and retrieval-augmented generation over YouTube comments on urbanism. The paper reports negative results candidly, though its evaluation rests on 20 queries, 300 labels, and a single non-blind rater.

Timeline

2026First-authored arXiv survey on trustworthy agentic AI appears, unifying failure modes and mitigation strategies across five trust dimensions and proposing the six-phase TADL lifecycle.
2026Last-authored applied NLP study combines BERTopic topic clustering, sentiment analysis, and retrieval-augmented generation to analyze YouTube comments on urbanism.
2026Both preprints enter Evolve's reviewed catalog in the same year, splitting the record evenly between AI safety/governance and NLP/computational social science.

Papers in the Evolve catalog

Frequent co-authors

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.

Quantitative dimensions come only from Evolve's reviewed-paper snapshot; output, impact, and activity scores are missing because no publication-count or citation data is available.
No institution, country, or ORCID is on file; the profile is name-resolved from public bibliographic data, and identity matching should be read with care.
Both cataloged papers are 2026 arXiv preprints; peer-review status is not reflected in the data.
Reproducibility (mean 20) and collaboration (36) rest on only two reviewed papers, too small a base for stable scoring.