Mashrura Musharraf

Mashrura Musharraf

Assistant Professor
Assistant Professor
T212 Department of Energy and 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/...

Research groups

  • Marine and Arctic Technology, Assistant Professor

Publications

Comparative Analysis of Ice Datasets to Inform Decision Support Models for Winter Navigation

Victor Garcia Pizarro, Cong Liu, Marek Muchow, Mashrura Musharraf 2025 Ocean Engineering; Polar and Arctic Sciences and Technology

Using Process Modeling Approach and Qualitative Data to Build a Unified Understanding of Icebreaker Operations

Mahsa Khorasani, Cong Liu, Osiris Valdez Banda, Mikko Suominen, Mashrura Musharraf 2025 Proceedings of the 35th European Safety and Reliability Conference (ESREL2025) and the 33rd Society for Risk Analysis Europe Conference (SRA-E 2025) 15 – 19 June 2025, Stavanger, Norway

Using Process Modelling Approach and Qualitative Data to Build a Unified Understanding of Icebreaker Operations

Mahsa Khorasani, Cong Liu, Osiris Valdez Banda, Mikko Suominen, Mashrura Musharraf 2025

An ensemble machine learning model for predicting the need for icebreaker assistance in ice-covered waters

Cong Liu, Mikko Suominen, Mashrura Musharraf 2025 Engineering Applications of Artificial Intelligence

A Probabilistic Model for Estimating Ship Performance in Ice Conditions

Cong Liu, Ameer Arif, Pentti Kujala, Mikko Suominen, Mashrura Musharraf 2025 Proceedings of the 28th International Conference on Port and Ocean Engineering under Arctic Conditions

Understanding Crew Estimations for Icebreaker Assistance in Ice-Covered Waters

Mashrura Musharraf, Cong Liu, Jennifer A. Smith 2025

A Systematic Data Preparation Approach for Analyzing Hotel Electrical Power Consumption on Passenger Ship

Adanna Okonkwo, Mikko Suominen, Jani Romanoff, Mashrura Musharraf 2025 Ocean Engineering; Polar and Arctic Sciences and Technology

Special Issue: Maritime Transport

Erik Vanem, Jani Romanoff, Mashrura Musharraf, Jonas W. Ringsberg, Lance Manuel 2025 Journal of Offshore Mechanics and Arctic Engineering

Special Issue on Maritime Transport

Erik Vanem, Jani Romanoff, Mashrura Musharraf, Jonas W. Ringsberg, Lance Manuel 2025 Journal of Offshore Mechanics and Arctic Engineering