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Ali Akarma

King Fahd University of Petroleum and Minerals · Saudi Arabia

Unclaimed · AI-structured profileORCID OpenAlex

Early-career KFUPM researcher spanning assistive edge AI, multi-agent accessibility, and explainable network security.

5

papers here

5

reviewed by Evolve

2

first-author

0

corresponding

—

works · OpenAlex

2

h-index · OpenAlex

Bibliometric figures come from OpenAlex (2026-10-17) 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 dataOutputImpact: insufficient dataImpactFocus: 0/100FocusCollaboration: 51/100CollaborationActivity: 100/100ActivityReproducibility: 43/100Reproducibility

Output—

The output axis is not yet scored: volume- and venue-based publication metrics for this profile are insufficient in the current snapshot. Once the record matures, this axis would measure total works, publication venues, and the trajectory of scholarly output over time.

Impact—

The impact axis is not yet scored: citation-based indicators are unavailable in the current snapshot beyond h-index 2 and i10-index 0. It would measure citation influence and field-normalized impact once citations begin to accrue to these works.

Focus0/100

Focus scores 0 because the field distribution is perfectly flat: OpenAlex assigns 0.25 each to assistive technology/edge AI, network security/machine learning, HCI accessibility with multi-agent systems, and health-informatics pediatric vision screening. Topic counts reinforce this breadth — Ethics and Social Impacts of AI (8), Assistive Technology in Communication and Mobility (6), and blockchain, access control, and digital healthcare topics at 5 each.

Collaboration51/100

Collaboration scores 46. The record lists 9 distinct coauthors over the recent window, with Toqeer Ali Syed and Adeel Ahmad the most recurrent partners, alongside Hammad Muneer, Ahmad Ali, and Danial Hameed. Authorship position skews middle: three of the four reviewed papers are middle-authored and none is corresponding, with one first-author paper (the smart cane), suggesting team-based work within a larger group.

Activity100/100

Activity scores 100. OpenAlex countsByYear shows 5 works in 2025 surging to 37 in 2026 — a more than sevenfold single-year jump — with 42 works in the recent three-year window, and all four Evolve-reviewed preprints dated 2026. This cadence marks a first intense publication push; sustaining such volume beyond the current burst is the key signal to watch.

Reproducibility43/100

Reproducibility averages 40 across 4 reviewed papers. Only XAI-SDN rates high — its CIC-DDoS2019 pipeline is documented even though reported scores (99.9987% accuracy, AUC 1.0) sit near the ceiling. The other three rate low: OptoAgent and MetaBlind are design-only with no experiments, and the smart-cane paper reports F1 0.82 and 330 ms latency but lacks baselines, ablations, and validation with visually impaired users.

Research summary

Ali Akarma is an early-career researcher at King Fahd University of Petroleum and Minerals (Saudi Arabia), profiled from OpenAlex bibliographic data under ORCID 0009-0002-6687-9380. The record shows a very recent but intense output burst: 5 works recorded in 2025 rising to 37 in 2026, with 42 works over the trailing three-year window and an h-index of 2 (i10-index 0). Evolve's catalog contains four 2026 arXiv preprints spanning assistive technology, accessibility, health informatics, and network security. Three apply a multi-agent AI framing: OptoAgent (eight agents for opportunistic pediatric vision screening) and MetaBlind (eight specialized agents arbitrating non-visual access to virtual worlds) are design-stage proposals without experimental validation, while the first-authored smart-cane paper reports an $88 offline Raspberry Pi Zero 2W prototype (F1 0.82, 330 ms). The fourth, XAI-SDN, applies Random Forest with SHAP and Shannon entropy to DDoS detection in software-defined networks, claiming 99.9987% accuracy on CIC-DDoS2019. Field distribution is evenly split — four fields at 0.25 each — which drives the focus score to 0, while activity scores 100. Collaboration (46) rests on 9 distinct coauthors, with Toqeer Ali Syed and Adeel Ahmad recurring. Reproducibility averages 40 across the four reviewed papers, with only one rated high.

Collaboration pattern

The collaboration pattern is small-team and recurring: 9 distinct coauthors in the recent window, with Toqeer Ali Syed and Adeel Ahmad each appearing three times among frequent partners, joined by Hammad Muneer, Ahmad Ali, and Danial Hameed. In the reviewed catalog the researcher sits middle on three of four papers, first-authors the smart-cane study, and holds no corresponding-author role — consistent with contributing inside a larger group rather than leading it.

Research keywords

Multi-agent systemsAssistive technologyEdge AIAccessibility for blind and visually impaired usersPediatric vision screeningSmart caneDDoS detectionSoftware-defined networkingExplainable AI (SHAP)Random ForestAI ethics and social impactAmbient intelligence

Highlights

Timeline

  1. 2025First works appear in the OpenAlex record: 5 publications are recorded for 2025.
  2. 2026Recorded output surges to 37 works in a single year, bringing the recent three-year total to 42.
  3. 2026First-authored smart-cane paper reports an $88 offline Raspberry Pi Zero 2W prototype (F1 0.82, 330 ms).
  4. 2026Two multi-agent design papers appear: OptoAgent for pediatric vision screening and MetaBlind for non-visual access to virtual worlds.
  5. 2026XAI-SDN applies explainable machine learning to real-time DDoS detection in software-defined networks.

Papers in the Evolve catalog

Frequent co-authors

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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 come from an OpenAlex snapshot only; the output and impact axes are marked missing, so no volume- or citation-based scoring is claimed.
  • h-index (2) and i10-index (0) reflect the same early OpenAlex record and should be read as provisional.
  • All four Evolve-reviewed papers are 2026 arXiv preprints; peer-reviewed status is not established in this data.
  • Identity is name-resolved from public bibliographic data tied to ORCID 0009-0002-6687-9380.
Ali Akarma — Researcher Profile | Evolve.Pub