Research & Innovation

Engineering Research Portfolio

My research focuses on trustworthy Artificial Intelligence, maritime autonomy, foundation models, engineering intelligence, and digital transformation for safety-critical industries. The work spans peer-reviewed journals, international standards, industry thought leadership, and applied engineering innovation.

Research Themes

Current Research Areas

Foundation AI

Self-supervised representation learning for maritime intelligence.

Enterprise AI

Retrieval-Augmented Generation and engineering knowledge systems.

Agentic AI

Multi-agent reasoning architectures for intelligent automation.

Engineering Intelligence

AI-assisted engineering decision support.

Journal Publications

Selected Publications

NAVISIGHT

A Self-Supervised Maritime Anomaly Detection Framework for AIS Trajectories.

Ocean Engineering Submitted

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Ship Collision Risk Evaluation

AIS Trajectories and Weather Data using Deep Learning.

Ocean Engineering 2024

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Effective Notch Stress

Effect of Weld Parameters on Cruciform Joints.

JMSA 2023

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Prediction of Effective Notch Stress

Machine Learning for Weld Root Stress.

ICSOT 2025

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Marine AI & ML Review

AI applications across the maritime sector.

JIME (India) Review Paper 2024

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Industry Publications

Thought Leadership

Splash247

Most Maritime AI Failures Will Be Data Failures, Not Algorithmic.

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Cyprus Shipping News

Why AI in Maritime Safety Requires Class Discipline.

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SeaNews

Why Data Quality Will Make or Break Maritime AI.

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International Contributions

Standards & Technical Committees

IMO

Contributor to IMO Resolution A.1204(34) Code on Alerts and Indicators.

IACS

Project Manager Safety Panel Project Team.

ISSC

Committee V.7 Structural Assessment During Operations.

MARIN

Participant WiSP3 Research Project.

Professional Service

Community Contributions

Journal Reviewer

Transportation Research Part C Emerging Technologies

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Mentorship

IMU I-ESKIMO 2024 Runner-up Team

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Awards

Outstanding Performance Awards IRS