About

About

SemanticWave

SemanticWave is a tech-driven company leading the digital transformation of the maritime industry through AI and data analytics.

We deliver research and services across maritime IT — including vessel operational data, maritime safety information, and autonomous ship software — built on deep domain expertise.

Services

  • Vessel Data Analysis — Deep learning-based ship performance analysis including fuel consumption prediction and carbon emission estimation
  • Maritime Safety Information Processing — NLP techniques for NAVTEX message error restoration and semantic classification
  • Maritime Data Standardization — IHO S-100 based maritime data modeling and quality assessment
  • Autonomous Ship Software — MASS software functional safety standards development (ISO/AWI 25928)
  • Maritime AI Software Development — Computer vision, generative AI, and natural language processing model development
  • Maritime Cyber Security — Vulnerability assessment, intrusion detection, and resilience strategies for shipboard OT/IT systems

Tech Stack

DomainTechnologies
LanguagesPython, Rust, C, C++, Java, C#, Kotlin
AI/ML FrameworksPyTorch, scikit-learn, x-transformers
Data Analysispandas, Matplotlib
NLP ModelsTransformer (BERT, GPT), Bi-LSTM
Computer VisionYOLO, ViT, DINO, Faster R-CNN, Stable Diffusion
Generative AIDiscrete Diffusion, Diffusion, GPT

Publications (SCIE)

  • Analysis of Security Vulnerabilities in S-100-Based Maritime Navigation Software — Sensors, Vol. 26, No. 4, 2026. (First Author, CVE-2026-22208)
  • Comparative Performance Analysis of Software-Based Restoration Techniques for NAVTEX Message — J. Mar. Sci. Eng., Vol. 13, No. 9, 2025. (First Author, Cover Paper)
  • Analysis of Bi-LSTM CRF Series Models for Semantic Classification of NAVTEX Navigational Safety Messages — J. Mar. Sci. Eng., Vol. 12, No. 9, 2024.

National Research Projects

  • KIMST — Service Technology Development Based on Maritime Wireless Communication
  • KIMST — Hydrographic Information Standards for Smart Ships
  • KIAT — Functional Safety Standards for Smart Ship Software Quality Assurance
  • KIAT — Data Standards Between Smart/Autonomous Ships and Value Chain
  • Korean Register — ML-Based Data Analysis for Energy-Environmental KPI Management

Founder

Hoyeon Cho

  • Ph.D. Candidate, Dept. of Maritime IT Engineering, Korea Maritime & Ocean University
  • M.S. (GPA 4.5/4.5)
  • Former Marine Engineer (3rd Engineer Officer, Sinokor Petrochemical)
  • Republic of Korea Navy Veteran
  • IHO S-129 Under Keel Clearance Management Project Team Member
  • ISO/AWI 25928 MASS Software Functional Safety — Standard Proposal & Development

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