Dr. Cemalettin Ozturk | ARC Hub for ICT

Dr. Cemalettin Ozturk (Lead TR) is a Logistics and Supply Chain Management Lecturer at MTU. His career spans both industry and academia, having held roles at Collins Aerospace Applied Research & Technology Ireland and the Insight Centre for Data Analytics at UCC before joining MTU. He has solved real operational problems across aerospace, automotive, aviation, maritime logistics, healthcare, and telecommunications, giving him first-hand understanding of the financial and operational pain that supply chain disruptions cause at the enterprise level. He holds a patent, has authored over 50 peer-reviewed publications, and has presented at business forums and industry events alongside academic venues. Dr. Ozturk will serve as both the technical and commercial lead of this project, owning customer discovery, market validation, investor engagement, and the commercialisation pathway. He will commit 40% of his time to this project. His entrepreneurial ambition is to spin out a supply chain analytics company from MTU and this project is the vehicle through which he intends to achieve that.

Last updated: 29 September 2026

Research Themes: Digital Infrastructure

Research Programmes

6GOrch

Optimises how 6G networks allocate computing resources at the edge, so demanding services like autonomous vehicles run reliably on constrained hardware.

EAComm

High-bandwidth optical neuromorphic AI chips that cut the electricity and water data centres consume to run rapidly growing AI workloads.

EURVISTA

An EU policy intelligence platform with a natural language interface, giving public affairs teams strategic insight into positions and stakeholder networks.

FlowVis

Translates complex grid planning simulations into visuals non-technical decision-makers can act on, supporting multi-million euro infrastructure decisions.

LUCARE

Turns unstructured patient complaints and incident reports into structured, evidence-linked insights, so emerging safety risks surface earlier.

MIMOPilot

A channel estimation technique that cuts signalling overhead in massive MIMO to a single pilot sample, improving spectral efficiency for 6G networks.

PEDAL

An AI pedagogical engine for language education that embeds task-based teaching and CEFR-aligned progression, not just AI-generated content.

Presage

A no-code fault detection platform that lets maintenance engineers deploy predictive AI without data science expertise or large training datasets.

PRISM

Relieves congestion on hospital wireless networks by enabling direct device-to-device communication, removing access points as a bottleneck.

Pyrovista

Processes the 60 million-plus thermal data points a metal 3D print generates, predicting density and hardness without costly ex-situ testing.

RanControl

Reinforcement learning xApps that let Open RAN networks adapt to new tasks without forgetting previous ones, supporting diverse 5G service demands.

SoccerIQ

Connects GPS and accelerometer data with tactical video analysis, automating insight that until now required labour-intensive manual coding.

TEMPEST

Protects UAV communications from jamming by fusing spectrum measurements, RF fingerprinting and terrain data to reroute flights in real time.

VISION3D

Uses holographic volumetric 3D printing to produce next-generation intraocular lenses, improving visual quality after cataract surgery.

XRStream

Generates photorealistic 3D avatars from ordinary 2D images, enabling holographic telepresence without specialist capture hardware.