Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Osman Turan

dblp:60/9758 · DBLP profile ↗
← Back
4ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0003-1877-8462ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 2 · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
2 papers
Computational science and engineering · 100%
Artificial intelligence
2 papers
Deep learning architectures and training · 57% Multi-agent systems · 43%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
engineering design
0.322012
Learning-based ship design optimization approach · Comput. Aided Des. 2012
Application of a new multi-agent Hybrid Co-evolution based Particle Swarm Optimisation methodology in ship design · Comput. Aided Des. 2010

Methods — techniques the papers use, named apart from their topics

learning-based optimization · 0.3particle swarm optimization · 0.2multi-agent optimization · 0.2hybrid co-evolution · 0.2
YearPublicationVenuePosition
2026 Utilising EEG and eye-tracking in maritime GNSS spoofing incidents: A human factors perspective
abstract
Cyber-attacks can compromise the reliability of onboard digital systems, navigation, sensing, control and decision support. An undetected attack may mislead bridge teams and increase the risk of collisions and groundings. Building maritime cyber resilience is therefore essential to the safety of navigation. In this study, 61 certificated seafarers participated in an experimental full-mission bridge simulator study replicating an Istanbul Strait transit. Participants were allocated to a test group or a control group and were exposed to a timed GNSS (Global Navigation Satellite) System spoofing event in a single continuous run. A multimodal dataset was acquired using physiological measures, including EEG and eye-tracking, together with objective and subjective instruments. Relative to the routine briefing, the cyber-situational awareness briefing produced statistically significant improvements across modalities. The test group exhibited higher EEG-derived vigilance (p = 0.027) and lower stress and workload than the control group. Participants’ self-reports indicated higher anomaly awareness, more frequent noticing of unusual device behaviour and greater suspicion (p = 0.006; p = 0.004). Eye-tracking metrics revealed more independent cross-verification, with reduced reliance on the primary electronic display. Objective performance, summarised by the composite performance index, was greater in the test group (p < 0.001), and the proportion of safe passages was higher. This study investigated whether a situational awareness intervention favourably shifts human factors, trust calibration, and performance under cyber-attacks, specifically GNSS spoofing. To our knowledge, this research provides the first empirical evidence from seafarers exposed to cyberattacks in a simulator environment and offers new insights into maritime human factors.
Yasin Burak Kurt, Yaser B. A. Farag, Esma Uflaz, Gianluca Borghini, Emre Akyuz, Özcan Arslan, Rafet Emek Kurt, Osman Turan
Comput. Secur.8
2025 Analysis of human reliability in detecting GPS spoofing on ECDIS in congested waterways under evidential reasoning and HEART approach
Yasin Burak Kurt, Esma Uflaz, Emre Akyuz, Rafet Emek Kurt, Osman Turan
Comput. Secur.5
2012 Learning-based ship design optimization approach
Osman Turan, Philip Sayer
Comput. Aided Des.2
2010 Application of a new multi-agent Hybrid Co-evolution based Particle Swarm Optimisation methodology in ship design
Osman Turan
Comput. Aided Des.2