Mashrura Musharraf

Mashrura Musharraf

Assistant Professor
Assistant Professor
T212 Mechanical Engineering

I am an assistant professor of Marine Technology. My research interest is in applying data mining, machine learning, and AI techniques to build and deploy human-centered systems and solutions and create a safer marine industry. With the successful demonstration of the world’s first fully autonomous ferry, it is anticipated that ship intelligence will continue to reshape the maritime industry in the coming years. While decision-making by autonomous systems is somewhat straightforward for local vessel operations, it would be fairly complex for ocean-going ships in harsh conditions. For marine operations in ice, optimized task performance is not the only issue, rather auxiliary criteria such as safety and reliability are equally important. As the foundations for futuristic ships are being set, my research aims to acknowledge the importance of interpretability and transparency of the AI algorithms that would replace or support the limited crew on board.

Full researcher profile
https://research.aalto.fi/...

Contact information

Phone number
+358504730408

Research groups

  • Meri- ja arktinen tekniikka, Apulaisprofessori

Publications

Decarbonizing shipping in ice by intelligent icebreaking assistance: A case study of the Finnish-Swedish winter navigation system

Aleksandr Kondratenko, Ketki Kulkarni, Fang Li, Mashrura Musharraf, Spyros Hirdaris, Pentti Kujala 2023 Ocean Engineering

Enhancing the sustainability of the Finnish-Swedish Winter Navigation System by intelligent icebreaking assistance

Aleksandr Kondratenko, Ketki Kulkarni, Fang Li, Mashrura Musharraf, Spyros Hirdaris, Pentti Kujala 2023

Simulation tool for winter navigation decision-support in the Baltic Sea

Pentti Kujala, Ketki Kulkarni, Mashrura Musharraf, Liangliang Lu, Aleksandr Kondratenko 2023

Decision-support for winter navigation operations

Ketki Kulkarni, Mashrura Musharraf, Cong Liu, Pentti Kujala 2023

Factor analysis of icebreaker assistance operation for ice-going ships in the Baltic Sea

Cong Liu, Ketki Kulkarni, Mashrura Musharraf, Pentti Kujala 2023 Proceedings of the International Conference on Port and Ocean Engineering under Arctic Conditions, POAC

Navigation modes classification using a machine learning method

Cong Liu, Mashrura Musharraf, Ketki Kulkarni 2023

Cognitive Task Analysis to Understand Icebreaker Decision Making

M. Musharraf, K. Kulkarni, S. Mallam 2023 TRANSNAV

Pathfinding and optimization for vessels in ice : A literature review

Trung Tien Tran, Thomas Browne, Mashrura Musharraf, Brian Veitch 2023 Cold Regions Science and Technology

Route optimization for vessels in ice : Investigating operational implications of the carbon intensity indicator regulation

Trung Tien Tran, Thomas Browne, Brian Veitch, Mashrura Musharraf, Dennis Peters 2023 MARINE POLICY