Nabil Panchi
About
I received my master's degree in Ocean Engineering and Naval Architecture from Indian Institute of Technology, Kharagpur. My summer stay at NTNU inspired me towards research at the intersection of Computer Science and Arctic Engineering. I am currently pursing a PhD in AI's application and challenges in the Arctic marine environment.
Supervisor: Ekaterina Kim
Co-Supervisor: Martin Ludvigsen
Research Interests: Artificial Intelligence, Deep Learning, Computer Vision, Arctic Shipping, Sea Ice, Data Science
Competencies
Research
Publications
2022
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Panchi, Nabil;
Verma, Uttam;
Kim, Ekaterina;
Hughes, Nick;
Bhattacharyya, Anirban.
(2022)
Assessment of Uncertainty in Sea Ice Charts and Its Impact on Operational Planning in the Kara Sea Region.
Academic chapter/article/Conference paper
2021
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Kim, Ekaterina;
Panchi, Nabil.
(2021)
Agree – Disagree: Comparing Traffic Limitations in the Kara Sea.
Academic chapter/article/Conference paper
-
Panchi, Nabil;
Kim, Ekaterina;
Bhattacharyya, Anirban.
(2021)
Supplementing remote sensing of ice: Deep learning-based image segmentation system for automatic detection and localization of sea ice formations from close-range optical images.
IEEE Sensors Journal
Academic article
2020
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Panchi, Nabil;
Kim, Ekaterina;
Xu, Sheng.
(2020)
Do vessels remain within their operational limitations in ice? Analyzing the risks of vessels operating in the Kara Sea region using POLARIS.
Academic chapter/article/Conference paper
2019
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Panchi, Nabil;
Kim, Ekaterina;
Bhattacharyya, Anirban.
(2019)
Understanding Polar Environment: Preliminary Results from Deep-Learning-based Segmentation of Optical Ice Images.
Academic chapter/article/Conference paper
-
Kim, Ekaterina;
Panchi, Nabil;
Dahiya, Gurvinder.
(2019)
Towards automated identification of ice features for surface
vessels using deep learning.
Journal of Physics: Conference Series (JPCS)
Academic article
Journal publications
-
Panchi, Nabil;
Kim, Ekaterina;
Bhattacharyya, Anirban.
(2021)
Supplementing remote sensing of ice: Deep learning-based image segmentation system for automatic detection and localization of sea ice formations from close-range optical images.
IEEE Sensors Journal
Academic article
-
Kim, Ekaterina;
Panchi, Nabil;
Dahiya, Gurvinder.
(2019)
Towards automated identification of ice features for surface
vessels using deep learning.
Journal of Physics: Conference Series (JPCS)
Academic article
Part of book/report
-
Panchi, Nabil;
Verma, Uttam;
Kim, Ekaterina;
Hughes, Nick;
Bhattacharyya, Anirban.
(2022)
Assessment of Uncertainty in Sea Ice Charts and Its Impact on Operational Planning in the Kara Sea Region.
Academic chapter/article/Conference paper
-
Kim, Ekaterina;
Panchi, Nabil.
(2021)
Agree – Disagree: Comparing Traffic Limitations in the Kara Sea.
Academic chapter/article/Conference paper
-
Panchi, Nabil;
Kim, Ekaterina;
Xu, Sheng.
(2020)
Do vessels remain within their operational limitations in ice? Analyzing the risks of vessels operating in the Kara Sea region using POLARIS.
Academic chapter/article/Conference paper
-
Panchi, Nabil;
Kim, Ekaterina;
Bhattacharyya, Anirban.
(2019)
Understanding Polar Environment: Preliminary Results from Deep-Learning-based Segmentation of Optical Ice Images.
Academic chapter/article/Conference paper
Outreach
GoNorth Arctic Ocean expedition: New inventions
News article covering my work in the Arctic.
De-weathering in the Arctic
Article in Norwegian SciTech News about our work on weather-resilient AI systems for the Arctic
SeaIceWeather Dataset
Public dataset with sea ice images, tailored for training weather removal algorithms.
2021
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Academic lectureKim, Ekaterina; Hughes, Nick; Verma, Uttam; Panchi, Nabil. (2021) Quantifying Uncertainties in MET Norway and AARI Ice Charts for the Kara Sea. IICWG-XXII 2021-09-19 - 2021-09-24
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PosterKim, Ekaterina; Panchi, Nabil; Pedersen, Ole-Magnus; Løset, Sveinung; Bhattacharyya, Anirban. (2021) Automating validation of satellite‐derived ice‐cover features: Discriminating ice objects in optical ice images with different degrees of local texture distortions. Second AI and Data Science Workshop for Earth and Space Sciences 2021-02-09 - 2021-02-11