Looking for researcher to help with writing Scopus-level Paper (AI / Digital Twin / Maritime Systems)
Budget: $250 – $750 USD
Hello,
I am looking for an experienced academic researcher (PhD level or equivalent) to support the development of a high-quality research paper intended for submission to reputable journals (Scopus / Web of Science indexed).
Topic Overview
The paper will focus on the development of a Digital Twin-enabled platform for maritime fleet management, combining:
Digital Twin systems
Big Data and AI
Predictive maintenance
Human (crew) factors
The core idea is to move beyond traditional approaches where:
equipment and maintenance are modeled separately,
crew-related factors are ignored,
Digital Twin systems do not account for human influence.
Instead, the paper should propose a conceptual and architectural framework where:
crew behavior, experience, and operational patterns are integrated into predictive maintenance and fleet management through a Digital Twin and data-driven approach.
Key Direction
The research should demonstrate:
how human factors (crew) can influence equipment degradation and operational risk
how this can be modeled within a Digital Twin environment
how AI and data-driven methods can improve predictive maintenance decisions
how this contributes to more efficient and sustainable fleet operations
This is not a simple literature review — the paper must include a clear novel contribution, system architecture, and modeling approach.
Expected Scope
7000–8000 words
Conceptual + architectural + modeling paper
Use of simulation and/or synthetic data is acceptable (with proper justification)
Inclusion of diagrams (system architecture, data flow, etc.)
Target Journals
The paper is intended for submission to reputable journals such as:
Ocean Engineering (Elsevier)
Reliability Engineering & System Safety
Relevant IEEE journals
Only legitimate, indexed journals (Scopus / WoS) — no predatory journals.
Requirements
Strong academic writing experience (Scopus / IEEE / Elsevier level)
Background in AI / systems engineering / maritime / industrial analytics
Experience writing research papers (not blog-style content)
Ability to structure a paper with clear novelty and contribution
Nice to Have
Experience with Digital Twin / IoT / predictive maintenance
Publications in relevant journals
I am looking for an experienced academic researcher (PhD level or equivalent) to support the development of a high-quality research paper intended for submission to reputable journals (Scopus / Web of Science indexed).
Topic Overview
The paper will focus on the development of a Digital Twin-enabled platform for maritime fleet management, combining:
Digital Twin systems
Big Data and AI
Predictive maintenance
Human (crew) factors
The core idea is to move beyond traditional approaches where:
equipment and maintenance are modeled separately,
crew-related factors are ignored,
Digital Twin systems do not account for human influence.
Instead, the paper should propose a conceptual and architectural framework where:
crew behavior, experience, and operational patterns are integrated into predictive maintenance and fleet management through a Digital Twin and data-driven approach.
Key Direction
The research should demonstrate:
how human factors (crew) can influence equipment degradation and operational risk
how this can be modeled within a Digital Twin environment
how AI and data-driven methods can improve predictive maintenance decisions
how this contributes to more efficient and sustainable fleet operations
This is not a simple literature review — the paper must include a clear novel contribution, system architecture, and modeling approach.
Expected Scope
7000–8000 words
Conceptual + architectural + modeling paper
Use of simulation and/or synthetic data is acceptable (with proper justification)
Inclusion of diagrams (system architecture, data flow, etc.)
Target Journals
The paper is intended for submission to reputable journals such as:
Ocean Engineering (Elsevier)
Reliability Engineering & System Safety
Relevant IEEE journals
Only legitimate, indexed journals (Scopus / WoS) — no predatory journals.
Requirements
Strong academic writing experience (Scopus / IEEE / Elsevier level)
Background in AI / systems engineering / maritime / industrial analytics
Experience writing research papers (not blog-style content)
Ability to structure a paper with clear novelty and contribution
Nice to Have
Experience with Digital Twin / IoT / predictive maintenance
Publications in relevant journals