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Funders

Fund a testable question and an accountable decision.

Three research directions connected to an existing body of work, with a clear boundary between documented record and what still needs co-design.

For funders

Fund the question before the tool

The common thesis is simple: a score is not a decision. The research asks where identity, context and evidence are lost when metrics become decisions about people.

Research record

40+ peer-reviewed publications are represented in the current CV record; citation count and h-index remain dynamic and are delegated to Google Scholar.

Academic CV →

Research to application

The CV records KAUST TAQADAM venture support for precision medicine in 2016 and a FekraTech innovation award/grant for emergency-department optimization in 2017.

Full CV →

Institutional scale

The CV reports program portfolios of approximately SAR 190M shaped or overseen; the figure is presented with its defined scope and source rather than as an independently audited financial claim.

Scope & source →

Ready for discussion

Three research programs to shape with the funder

Duration, team, budget and partners are intentionally not invented here; they are set after aligning a program with a specific funding call.

1 · Auditing public-sector AI decisions

An extension of RIDI: measure who changes when the model changes, and connect ranking quality to the cost of changing the decision.

Conceptual basis →

2 · Knowledge completeness before clinical inference

An extension of D3, Anti-DDI and D4: test whether the knowledge base is complete enough before turning it into clinical inference or decision support.

Related research →

3 · Evidence of readiness in AI-enabled education

An extension of iSCARB and IMAM: move from polished output to evidence of judgment and readiness under changing conditions.

Read the position →

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