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Dr Burak Suslu.

Optimisation researcher and technical founder. PhD in Transport Systems (Sensor Optimisation) from Cranfield University's IVHM Centre, defended November 2025. Five years of prior commercial experience as founder and lead research engineer in industrial automation. Based in London / Cranfield, UK.

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Contact
Primary

hello@buraksuslu.com

London, UK · Available remote & on-site (UK / EU)
Profiles
Education
Apr 2022 – Nov 2025

PhD · Transport Systems (Sensor Optimisation)

Cranfield University · School of Aerospace, Transport & Manufacturing · IVHM Centre

Thesis: Sensor Optimisation for Aircraft Health Management Systems (defended November 2025). Produced the Multi-Objective Sensor Optimisation Framework (MOSOF) and the Normalised Diagnostic Contribution Index (NDCI), evaluated across Engine, Fuel, EPS, and Environmental Control subsystems with repeated nested cross-validation.

  • Supervisor: Prof. Ian K. Jennions · Associate Supervisor: Dr Fakhre Ali
  • Three first-author peer-reviewed publications in Sensors (MDPI), 2023, 2025, and 2026
  • Methodological focus: multi-objective genetic algorithms (MOGA), information-theoretic diagnostic scoring, Pareto-front trade studies, Fault Detection and Isolation (FDI)
2019

MSc · Advanced Electrical and Electronic Engineering (Merit)

Brunel University London, UK

Final project: high-efficiency preamplifier design for radiation sensors in high-temperature well-logging applications.

2017

BEng · Electrical & Electronics Engineering (2:1)

Erciyes University, Turkey

Final project: design and implementation of a compact radar prototype with a 2D object-tracking system.

Positions & ventures
Current

Founder · AcoustR ↗

Acoustic diagnostics for engines & machines · acoustr.com

Lead venture — a product application of the MOSOF / NDCI sensor-optimisation methods, building diagnostic systems that work from the sound an asset already makes. Currently live with early customers.

Current

Founder · Sensorry ↗ (prototype)

Sensor-network design tooling · sensorry.com

An applied tool packaging the MOSOF / NDCI workflow for engineering teams designing or auditing sensor networks. Currently in prototype.

Current

Independent technical advisor

Optimisation · IVHM · Diagnostic system design

Consulting engagements with engineering and R&D teams on sensor optimisation audits, custom multi-objective optimisation frameworks, and ongoing technical advisory.

Jul 2017 – Apr 2022

Founder & Lead Research Engineer · SSL Elektrik-Elektronik

Industrial automation & high-voltage systems · Türkiye

Founded and ran an applied R&D and industrial automation business. Directed the logic design and algorithmic rule sets for industrial control systems automating decision-making in hazardous Oil & Gas environments. Spearheaded the integration of IoT sensors and AI-driven algorithms into legacy machinery — modernising operations and improving energy efficiency by over 20%.

  • Managed full R&D lifecycle from conceptual functional specifications to fully commissioned, on-site hardware solutions
  • Phased-retrofit cracking-tower control systems for a state-run petroleum facility (delivered on time, under budget, follow-on maintenance contract)
  • Cross-functional delivery with utilities, operators, and EPC contractors — the operational reality that now grounds the optimisation research
Peer-reviewed publications
2026

MOSOF with NDCI: A Cross-Subsystem Evaluation of an Aircraft for an Airline Case Scenario ↗

Sensors, 26(1), 160 · Suslu, B., Ali, F., & Jennions, I. K. · MDPI · DOI: 10.3390/s26010160

Cross-subsystem evaluation applying MOSOF + NDCI across Engine, Fuel, EPS, and ECS subsystems for an airline-case aircraft. Demonstrates compact Pareto-efficient sensor suites with knee solutions of approximately 12 sensors at ~0.69 normalised diagnostic performance.

2025

NDCI Integration to Multi-Objective Sensor Optimisation Framework — An ECS Case ↗

Sensors, 25(9), 2661 · Suslu, B., Ali, F., & Jennions, I. K. · MDPI · DOI: 10.3390/s25092661

Introduces the Normalised Diagnostic Contribution Index and integrates it into MOSOF. Validated on the Environmental Control System of a reference aircraft.

2023

Understanding the Role of Sensor Optimisation in Complex Systems ↗

Sensors, 23(18), 7819 · Suslu, B., Ali, F., & Jennions, I. K. · MDPI · DOI: 10.3390/s23187819

Foundation paper for the doctoral programme. Frames sensor selection as a multi-objective rather than single-axis problem.

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Full publications archive →

Sensor optimisation · IVHM · Diagnostics
Reviewing
Ongoing

Peer reviewer

Journals in sensors, IVHM, and diagnostics

Active reviewer for peer-reviewed venues in the sensor-optimisation and diagnostics space, including Sensors (MDPI).

Technical skills
R&D & methods
Multi-objective optimisation Pareto-front analysis Multi-objective genetic algorithms Sensor fusion Prognostics & Health Management (PHM) Fault Detection & Isolation Signal processing Information theory Machine learning Fuzzy logic
Modelling & simulation
MATLAB / Simulink (model-based design) System modelling Hardware-in-the-Loop (HIL) validation SESAC platform High-fidelity fault simulation
Software
Python C++ VHDL Artificial Neural Networks (ANN) Git
Validation
V-Model verification Statistical process control Repeated nested cross-validation Noisy / high-dimensional datasets
Domains
IVHM Aerospace systems Sensor networks Condition monitoring Acoustic diagnostics High-voltage automation Oil & gas Industrial IoT
Languages
English (fluent) Turkish (native)
References

References available on request. Doctoral supervisors at Cranfield University's IVHM Centre, plus industrial referees from prior automation work, can be supplied for academic and industry roles respectively.

§ / Hiring or recruiting

Open to the right role.

For academic positions, industrial research roles, or technical leadership opportunities at companies working on diagnostic and decision systems — get in touch with a short note about the role and timing.

hello@buraksuslu.com →