DR. ZOBAIR IBN AWAL · BUET
Professor of Naval Architecture, Marine and Ocean Engineering

Dr. Zobair Ibn Awal

Engineering safer, smarter, and bio-inspired marine systems for the future of maritime transportation.
Research LaboratoriesPublications
Professor Dr. Zobair Ibn Awal

Academic and Professional Profile

Academic Qualifications

  • Doctor of Philosophy (PhD)
    Osaka University, Japan
    Naval Architecture and Ocean Engineering
  • Master of Engineering (M.Eng.)
    Osaka University, Japan
    Artificial Intelligence for Maritime Safety
  • Master of Science in Engineering (MSc Engg.)
    Bangladesh University of Engineering and Technology (BUET)
    Department of Naval Architecture and Marine Engineering
    Research on ship-to-ship collision dynamics in Bangladesh inland waterways
  • Bachelor of Science in Engineering (BSc Engg.)
    Bangladesh University of Engineering and Technology (BUET)
    Department of Naval Architecture and Marine Engineering

Appointments and Leadership

  • Professor, Department of Naval Architecture and Marine Engineering, BUET (since 2021)
  • Head, Department of Naval Architecture and Marine Engineering, BUET (since 2026)
  • Lab-in-Charge, Underwater Robotics Laboratory (UWRL)
  • Lab-in-Charge, Ship Safety and Ship Handling Simulator (SSSHS) Laboratory
  • Member, Board of Directors, Chattogram Dry Dock Limited (CDDL)
  • Member, American Physical Society (APS)

My research integrates engineering science, artificial intelligence, numerical simulation, and experimental investigations to improve maritime safety and develop the next generation of intelligent marine systems.

Current Research and Laboratories

Maritime Safety and Simulation

Ship Safety and Ship Handling Simulator Laboratory

Research on ship manoeuvring, collision and grounding risk, marine accident investigation, ferry safety, environmental issues, and AI-supported maritime decision making.

Explore SSSHS Lab Related publications
Bio-Inspired Marine Systems

Underwater Robotics Laboratory

Exploring underwater robot development through fish biomechanics, bio-inspiration, AI-based motion analysis, remotely operated vehicles, and autonomous underwater systems.

Explore UWRLab Related publications

Research Directions

Artificial Intelligence for Maritime Engineering

AI and machine-learning applications in ship detection, maritime traffic analysis, accident prediction, design optimization, repair-time estimation, and autonomous navigation.

Browse publications

Fish Biomechanics and Bio-Inspired Robotics

Research on fish kinematics, locomotion biomechanics, AI-assisted motion analysis, and the translation of biological principles into new underwater robotic systems.

Explore current work