Md Abulkalam Azad
About
I am pursuing a PhD in ultrasound medical imaging, focusing on leveraging computer vision and deep learning techniques.
Before joining ISB, I completed my master's degree in Marine and Maritime Intelligent Robotics at the Department of Marine Technology, NTNU. This was an Erasmus Mundus Joint Master's Degree program jointly offered by Université de Toulon (UTLN) and NTNU. Following my first year at UTLN, I had the opportunity to work as a summer research student within the computer vision group at SINTEF Digital. During this time, my focus was on the 3D reconstruction of challenging objects using the Neural Radiance Field (NeRF) technique. Consequently, my master's thesis was also carried out within this group, where I delved into Multi-label Video Classification for Underwater Ship Inspection. My research specifically revolved around the investigation and analysis of multi-attention-based transformer and vision transformer models within the context of underwater environments for video understanding.
I worked as a Software Engineer at SAMSUNG R&D in Bangladesh for one and a half years before starting my master's study. During this period, I earned valuable skills in different Samsung Software Development Kits (SDKs) such as AR Emoji, Galaxy Watch Face, Samsung IAP, and Samsung DeX.
In 2019, I completed my bachelor's degree in Computer Science and Engineering at United International University in Bangladesh. During my undergraduate program, I had the privilege of receiving the Erasmus Mundus Scholarship, which allowed me to pursue a 10-month academic stint at Universität Bremen in Germany. As part of this experience, I undertook my thesis project, which concentrated on the Enhencement of a Logistic Simulation Scenario using 3D Computer Graphics.
Research
PhD topic: Advancing Myocardial Function Imaging in Echocardiography using Vision Intelligence
- Task 01: Develop and apply a novel deep learning-based point tracking method for motion estimation in echocardiographic data.
- Task 02: Extend the automated strain estimation pipeline to support multiple cardiac views and regional myocardial strain analysis.
- Task 03: Explore an AI-assisted, human-in-the-loop system to enhance strain measurement accuracy and support efficient data annotation.
- Task 04: Validate the research-driven, fully automated strain estimation pipeline across relevant patient cohorts to assess clinical applicability.
Publications
2024
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Azad, Md Abulkalam;
Chernyshov, Artem;
Nyberg, John Anders Tomas;
Tveten, Ingrid Elisabeth;
Løvstakken, Lasse;
Dalen, Håvard.
(2024)
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography.
Academic chapter/article/Conference paper
2023
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Azad, Md Abulkalam;
Mohammed, Ahmed Kedir;
Waszak, Maryna;
Elvesæter, Brian;
Ludvigsen, Martin.
(2023)
Multi-label Video Classification for Underwater Ship Inspection.
Academic chapter/article/Conference paper
2021
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Azad, Md Abulkalam;
Islam, Sadia;
Farid, Dewan Md.;
Shatabda, Swakkhar.
(2021)
Layered Ensemble Learning for Effective Binary Classification.
Academic chapter/article/Conference paper
2019
-
Sabah, Shabnam;
Anwar, Sara Zumerrah Binte;
Afroze, Sadia;
Azad, Md Abulkalam;
Shatabda, Swakkhar;
Farid, Dewan Md..
(2019)
Big Data with Decision Tree Induction.
Academic chapter/article/Conference paper
Part of book/report
-
Azad, Md Abulkalam;
Chernyshov, Artem;
Nyberg, John Anders Tomas;
Tveten, Ingrid Elisabeth;
Løvstakken, Lasse;
Dalen, Håvard.
(2024)
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography.
Academic chapter/article/Conference paper
-
Azad, Md Abulkalam;
Mohammed, Ahmed Kedir;
Waszak, Maryna;
Elvesæter, Brian;
Ludvigsen, Martin.
(2023)
Multi-label Video Classification for Underwater Ship Inspection.
Academic chapter/article/Conference paper
-
Azad, Md Abulkalam;
Islam, Sadia;
Farid, Dewan Md.;
Shatabda, Swakkhar.
(2021)
Layered Ensemble Learning for Effective Binary Classification.
Academic chapter/article/Conference paper
-
Sabah, Shabnam;
Anwar, Sara Zumerrah Binte;
Afroze, Sadia;
Azad, Md Abulkalam;
Shatabda, Swakkhar;
Farid, Dewan Md..
(2019)
Big Data with Decision Tree Induction.
Academic chapter/article/Conference paper
Outreach
2025
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Academic lectureAzad, Md Abulkalam; Østvik, Andreas. (2025) Speckle Tracking Echocardiography using Point Tracking: A Paradigm Shift?. Meeting on Myocardial Function Imaging 2025 , KU Leuven, Belgium 2025-02-06 - 2025-02-07
2023
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LectureAzad, Md Abulkalam; Mohammed, Ahmed Kedir; Waszak, Maryna; Elvesæter, Brian; Ludvigsen, Martin. (2023) MViST: A Multi-label Vision Spatiotemporal Transformer for Underwater Ship Inspection. NORA Annual Conference 2023 , Tromsø 2023-06-05 - 2023-06-06
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Academic lectureAzad, Md Abulkalam; Mohammed, Ahmed Kedir; Waszak, Maryna; Elvesæter, Brian; Ludvigsen, Martin. (2023) Multi-label Video Classification for Underwater Ship Inspection. OCEANS Conference & Exposition , Limerick, Ireland 2023-06-05 - 2023-06-08
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LectureAzad, Md Abulkalam. (2023) Underwater Robotics and Erasmus Mundus Scholarship. From Scholar to Explorer: A Tale of Underwater Robotics and Erasmus Mundus Scholarship , Dhaka, Bangladesh 2023-08-02 - 2023-08-02