Research activity per year

Personal profile


 I’m Mahya Mohammadi Kashani (Mahya MK) and I am a PhD student in Computer Science at IT-University of Copenhagen by mid-August 2021 in Copenhagen, Denmark. I also am one of ESRs (Early Stage Researcher) in REMARO (Reliable AI for Marine Robotics) network .

My PhD project mainly concentrates on designing a Bayesian-inference-based prospection method to improve the reliability of underwater robots. I aim to develop a probabilistic decision-making model to assess risks and use this model to assist in plan selection. Before joining the REMARO (Reliable AI for Marine Robotic) group, my main research interests focused on pattern recognition algorithms, particularly sparse reconstruction/coding and search space reduction in the Automatic Image Annotation task.

Education/Academic qualification

Computer Science, PhD fellowship, Statistical assessment of plans via probabilistic optimization of reliability

15 Aug 202114 Aug 2024

Award Date: 15 Aug 2021

Artificial Intelligence and Robotics, Master of Science , Search-based Image Annotation using Deep Models, Shahid Rajaee Teacher Training University

10 Sept 20169 Mar 2019

Software Engineering, Bachelor of Science, Development of a Filter Driver for Disk Access Control in Lowest Level of Drivers Hierarchy

20 Sept 20104 Jan 2014


  • Planning
  • risk assessment
  • risk-averse planning
  • underwater robots
  • plan evaluation


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Collaborations and top research areas from the last five years

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  • Reliable Plan Selection with Quantified Risk-Sensitivity

    John, T., Mohammadi Kashani, M., P Coffelt, J., Broch Johnsen, E. & Wasowski, A., 2023, NWPT 2023 - 34th Nordic Workshop on Programming Theory.

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

  • Belief-based fault recovery for marine robotics

    Jeremy Paul Coffelt, Mohammadi Kashani, M., Wasowski, A. & Peter Kampmann, 16 Aug 2022, The Eighth Joint Ontology Workshops (JOWO’22), August 15-19, 2022, Jönköping University, Sweden. Vol. Vol-3249. 14 p. paper3-RobOntics

    Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

    Open Access