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Academic profile.

An early-career researcher in sensor optimisation, IVHM, and diagnostics — translating research into deployable decision systems. Doctorate at Cranfield University's IVHM Centre. Open to academic positions, visiting research, journal review, and collaboration.

Research statement

Sensor optimisation as a decision problem.

My research treats sensor selection on complex assets as a constrained, multi-objective decision problem rather than a procurement question. The doctoral programme produced two contributions — the Multi-Objective Sensor Optimisation Framework (MOSOF) and the Normalised Diagnostic Contribution Index (NDCI) — both peer-reviewed and validated across four aircraft subsystems (Engine, Fuel, EPS, ECS) through Cranfield's SESAC platform, with three first-author publications in Sensors (MDPI).

Going forward, the agenda extends in three directions: scoring frameworks for multi-modal sensor fusion, stakeholder-aware design where OEM, operator, and MRO weightings are made explicit, and decision frameworks that surface uncertainty honestly rather than collapsing it into a black-box label. The applied side of the same agenda runs through ventures (AcoustR, Sensorry) where the methods meet a real customer.

Teaching & supervision

Methods, then applications.

I'm interested in teaching at the intersection of optimisation, diagnostics, and engineering decision-making — areas where students struggle not because the maths is hard, but because the framing is unfamiliar. My preferred approach is to introduce the formal method first (multi-objective search, Pareto fronts, information-theoretic scoring), then drive it home with a real, messy industrial case where the answer matters.

Supervision-wise, the strongest fit is for projects that sit between optimisation theory and an applied engineering problem — particularly anything in IVHM, sensor design, condition monitoring, or diagnostic decision systems. I'm happy to co-supervise where the academic home is elsewhere but the methodological overlap is strong.

Industrial bridge

Five years of operational reality.

Before academia, I founded and ran SSL Elektrik-Elektronik (Türkiye, 2017–2022), an applied R&D and industrial-automation business delivering high-voltage energy distribution and AI-driven control systems for state and private oil-and-gas operators. That five-year founder-engineer arc shapes the research: I'm uninterested in optimisation that's only optimal on paper, and the methods I work on are designed to produce answers that operations engineers can actually act on.

For prospective employers and collaborators, this is the practical implication: I read industrial constraints fluently, I'm comfortable in deployment-shaped conversations, and I expect academic work to be capable of crossing the bridge to industry without losing rigour on the way.

What I'm looking for.

An honest, status-labelled view rather than a generic "open to all opportunities". Reach out about the green ones first; the orange ones are case-by-case.

Open

Postdoctoral & lectureship positions

UK and EU roles in optimisation, IVHM, diagnostics, sensor design, or applied AI for engineering systems. Particularly interested in groups bridging methods research and industrial application.

Open

Visiting research & sabbaticals

Short visits (weeks to months) to groups working on related problems — sensor placement, anomaly detection, multi-objective design, decision systems under uncertainty. Strong preference for groups with an applied partner.

Open

Journal & conference review

Reviewing for journals and venues in IVHM, sensors, diagnostics, and multi-objective optimisation. Active reviewer for Sensors and adjacent venues; happy to take on more.

Open

Industrial collaboration

Joint research projects with industrial partners — particularly aerospace OEMs, MROs, and energy operators. The applied bridge is where the methods get tested most rigorously.

Case-by-case

PhD supervision

Co-supervision of doctoral students whose project sits at the optimisation / diagnostics / IVHM intersection. Open to discussion where the academic home is elsewhere; primary supervision depends on institutional context.

Open

Writing & commissions

Essays, research notes, op-eds, and plain-English explainers on multi-objective optimisation, sensor design, IVHM, and the research-to-product bridge. Editor commissions and co-author invitations welcome.

Same person, everywhere.

A canonical identity stack — only the profiles I actively maintain are linked. Items marked as placeholders are profiles where ownership or upkeep needs verifying before they're worth pointing recruiters at.

Discuss a position or collaboration.

For academic recruitment, hosting a visit, opening a journal-review request, or proposing a collaboration: a few sentences on the institution, the role or project, and the timing is enough for a first reply.

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