Introductory remarks by the speaker

This presentation highlights the intersection of future-proofing strategies and predictive analytics in driving sustainable maritime operations. It emphasizes the industry's need to address environmental and operational challenges through data-driven solutions, such as optimizing routes, predicting emissions, and transitioning to greener technologies. By leveraging predictive analytics, maritime organizations can reduce emissions, enhance efficiency, and ensure compliance with evolving global standards. The combination of these approaches provides a pathway for achieving zero-emission shipping and preparing the industry for a sustainable future.

Short resume

Mahtab Shahin is a Postdoctoral Researcher based in Tallinn, Estonia, with a Ph.D. in Computer Science from Tallinn University of Technology. Her research focuses on association rule mining for big data and cloud technology. She holds an M.Sc. and B.Sc. in Computer Engineering from Azad University of Najafabad and Isfahan, Iran.

Mahtab’s career began in Iran, where she developed a question-answering system using the ant colony algorithm. She later worked as a Big Data Engineer at the Artificial Intelligence and Robotics Center (AIRE) in Estonia, predicting rare association rules using technologies like Spark and Hadoop. Her expertise spans big data, cloud computing, and algorithm design, and she is eager to leverage these skills in her role at EMERA.

For more information about the seminar, please contact Kristi Treffner kristi.treffner@taltech.ee.

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