Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Posts
portfolio
Shipwreck survey
Faulty Trajectory of surveying shipweck
3D OctoMap reconstruction
3D Dynamic OctoMap reconstruction for subsea infrastructure 
publications
Leveraging deep learning representation for search-based image annotation
Published in In 2017 Artificial Intelligence and Signal Processing Conference (AISP), 2017
This extended abstract paper is about integrate our feature extractors with 2PKNN (2 pass KNN) approach to obtain relevant tags of an image.
Recommended citation: Kashani, M. M., & Amiri, S. H. (2017, October). " Leveraging deep learning representation for search-based image annotation." In 2017 Artificial Intelligence and Signal Processing Conference (AISP) (pp. 156-161). IEEE. https://ieeexplore.ieee.org/abstract/document/8324073
Scalable Image Annotation by Summarizing Training Samples into Labeled Prototypes
Published in The Quartely Journal of Signal and Data Processing, 2022
This quartely journal paper is about a novel approach to summarize training database (images and their relevant tags) into a small number of prototypes.
Recommended citation: Mohammadi Kashani, M., & Amiri, S. H. (2022). " Scalable Image Annotation by Summarizing Training Samples into Labeled Prototypes." Quarterly Journal of Signal and Data Processing, 18(4), 49-68.. http://jsdp.rcisp.ac.ir/files/site1/user_files_60a4f6/hamid_amiri-A-10-1891-1-1c4f635.pdf
Toward real-time image annotation using marginalized coupled dictionary learning
Published in Journal of Real-Time Image Processing, 2022
This journal paper is about a novel coupled dictionary learning approach is proposed to learn a limited number of visual prototypes and their corresponding semantics simultaneously. This approach leads to a real-time image annotation procedure.
Recommended citation: Roostaiyan, S. M., Hosseini, M. M., Kashani, M. M., & Amiri, S. H. (2022). " Toward real-time image annotation using marginalized coupled dictionary learning." Journal of Real-Time Image Processing, 19(3), 623-638. https://arxiv.org/abs/2304.06907
Belief-based fault recovery for marine robotics
Published in The Eighth Joint Ontology Workshops (JOWO’22),'RobOntics 2022', 2022
This project entitled testing and statistical assessment of plans which is devoted to risk assessment and assistance for plan selection in underwater AI robotics.
Recommended citation: JP Coffelt, MM Kashani, A Wasowski, P Kampmann (2022). "The Eighth Joint Ontology Workshops (JOWO’22), August 15-19, 2022, Jönköping, Sweden, 1(3). https://ceur-ws.org/Vol-3249/paper3-RobOntics.pdf
Reliable Plan Selection with Quantified Risk-Sensitivity
Published in NWPT 2023-34th Nordic Workshop on Programming Theory, 2023
This extended abstract paper is about reliable plan selection for marine robots.
Recommended citation: John, T., Kashani, M. M., Coffelt, J. P., Johnsen, E. B., & Wasowski, A. (2023). "Reliable Plan Selection with Quantified Risk-Sensitivity." In NWPT 2023-34th Nordic Workshop on Programming Theory. https://pure.itu.dk/da/publications/reliable-plan-selection-with-quantified-risk-sensitivity
Risk-averse Planning and Plan Assessment for Marine Robots
Published in IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
This conference paper is about selecting safer plan based on risk-averse planning and plan assessment for underwater robots.
Recommended citation: Kashani, M. M., John, T., Coffelt, J. P., Johnsen, E. B., & Wasowski, A. (2024). "Risk-averse Planning and Plan Assessment for Marine Robots." In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://arxiv.org/abs/2410.01018
talks
Leveraging Deep Learning Representation for search-based Image Annotation
Published:
This is a conference proceedings talk at Shiraz University. Download Sides Here
CNNs in Cognitive Science and Neural Network Course
Published:
This is one of the teaching sessions in Cognitive science and Neural Networks (NNs) Course when I was a master student at Shahid Rajaee University. This is about the Convolutional Neural networks (CNN) and how cognitive science connect with NNs. Download Sides Here
Belief-based Fault REcovery for MArine RObotics
Published:
This project entitled testing and statistical assessment of plans which is devoted to belief-based fault identification and recovery, known as FIR method, for plan selection in underwater AI robotics. Download Sides Here
Reliable Plan Selection with Quantified Risk-Sensitivity
Published:
This is my presentation under project: Reliable AI for Marine Robotics in the 34th Nordic Workshop on Programming Theory (NWPT’23) in Våsteras, Sweden. Download Slides Here
Mission Assistant of Marine Robots by Encyclopeadic Roadmap
Published:
This is my miniProject out of the inner of my PhD project about leveraging contextual scenarios from Incident Response Plan (IRP) document using Large Language Modelings (LLMs) with various NLP tasks including but not limited to: QA, Prompt Engineering, NQLI, query entailment. Download Slides Here
Probabilistic Planning Framework for Marine Robots
Published:
This is my presentation at REMARO workshop, European Joint Conferences on Theory and Practice of Software (ETAPS). The talk is considered as the progress work of my PhD project.
Risk-averse Planning and Plan Assessment for Marine Robots
Published:
This is my presentation at the 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’24).