Mobarakol Islam

Senior Research Fellow
Wellcome/EPSRC Centre for Interventional and Surgical Sciences (WEISS)
Department of Medical Physics and Biomedical Engineering
University College London, UK

Email: mobarakol dot islam at ucl dot ac dot uk

Short-Bio

I am a senior research fellow at the Department of Medical Physics and Biomedical Engineering, University College London, working with Dr. Matt Clarkson in WEISS. Before that, I was a postdoctoral research associate at the Department of Computing, Imperial College London, under the supervision of Dr. Ben Glocker in BioMedIA Lab. I received my PhD degree from NUS Graduate School for Integrative Sciences and Engineering Programme (ISEP), National University of Singapore. I was a Lead Software Engineer at Samsung R&D Institute before back to academia for my PhD.

My research involved developing Safe & Responsible AI from pre-op diagnosis and planning to intra-op tracking and post-op analysis. Most recently, I am enhancing foundation models like large vision-language models with reliability, reasoning and trustworthiness. Besides my research, I am involved in teaching, supervising, and other academic services like organizing workshops and summer school, area-chairing and meta-reviewing top-tier conferences and journals. I have received several awards, including Turing postdoctoral enrichment award, AUAPAF conference grant, ISEP PhD scholarship, ICRA/MICCAI travel awards, and several best paper awards. I am serving as an area-chair at MICCAI 2023, organizing of the MICCAI DART workshop and reviewer of the several top conferences and journals in Healthcare AI such as TPAMI, MedIA, IEEE TMI, MICCAI, ICRA, IROS, IJCARS, IEEE RA-L, and Neurocomputing.

News

Selected Publications [Google Scholar]

(* Co-first auhtor; † indicates corresponding authorship)                                              
Angular Gap: Reducing the Uncertainty of Image Difficulty through Model Calibration.
Bohua Peng, Mobarakol Islam†, Mei Tu.
The 30th ACM International Conference on Multimedia (ACM Multimedia), 2022.

[Preprint][code]

Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need.
An Wang*, Mobarakol Islam*, Mengya Xu, , and Hongliang Ren.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

[Preprint][code] [poster]

Surgical-VQA: Visual Question Answering in Surgical Scenes Using Transformer.
Lalithkumar Seenivasan*, Mobarakol Islam*, Adithya K. Krishna, and Hongliang Ren.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

[preprint][code] [poster]

Rethinking Surgical Captioning: End-to-End Window-Based MLP Transformer Using Patches.
Mengya Xu*, Mobarakol Islam*, Hongliang Ren.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

[preprint][code] [poster]
Estimating Model Performance under Domain Shifts with Class-Specific Confidence Scores.
Zeju Li, Konstantinos Kamnitsas, Mobarakol Islam, Chen Chen, Ben Glocker.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022.

[preprint] [code] [poster]
Global-Reasoned Multi-Task Learning Model for Surgical Scene Understanding.
Lalithkumar Seenivasan, Sai Mitheran, Mobarakol Islam, Hongliang Ren.
IEEE International Conference on Robotics and Automation (ICRA & RA-L), 2022.

[preprint][code] [poster]
Class-Incremental Domain Adaptation with Smoothing and Calibration for Surgical Report Generation.
Mengya Xu*, Mobarakol Islam*, Chwee Ming Lim, Hongliang Ren.
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021.

[preprint][code] [poster]
Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations.
Mobarakol Islam†, Ben Glocker.
International Conference on Information Processing in Medical Imaging (IPMI), 2021.

[paper][code] [poster]
Learning domain adaptation with model calibration for surgical report generation in robotic surgery.
Mengya Xu*, Mobarakol Islam*, Chwee Ming Lim, Hongliang Ren.
IEEE International Conference on Robotics and Automation (ICRA), 2021.

[preprint][code]
Glioblastoma multiforme prognosis: Mri missing modality generation, segmentation and radiogenomic survival prediction.
Mobarakol Islam, Navodini Wijethilake, Hongliang Ren.
Computerized Medical Imaging and Graphics, 2021.

[preprint] [code]
ST-MTL: Spatio-Temporal multitask learning model to predict scanpath while tracking instruments in robotic surgery.
Mobarakol Islam, VS Vibashan, Chwee Ming Lim, Hongliang Ren.
Medical Image Analysis (MedIA), 2021.

[paper] [code]

Learning and Reasoning with the Graph Structure Representation in Robotic Surgery.
Mobarakol Islam, Lalithkumar Seenivasan, Lim Chwee Ming, Hongliang Ren.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

[preprint][code]

AP-MTL: Attention Pruned Multi-task Learning Model for Real-time Instrument Detection and Segmentation in Robot-assisted Surgery.
Mobarakol Islam, VS Vibashan, Hongliang Ren.
IEEE International Conference on Robotics and Automation (ICRA) (ICRA), 2020.

[preprint][code]

Learning Where to Look While Tracking Instruments in Robot-Assisted Surgery.
Mobarakol Islam, Yueyuan Li, Hongliang Ren.
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

[preprint][code]

Real-time instrument segmentation in robotic surgery using auxiliary supervised deep adversarial learning.
Mobarakol Islam, Daniel Anojan Atputharuban, Ravikiran Ramesh, Hongliang Ren.
IEEE Robotics and Automation Letters (RA-L), 2019.

[preprint][code]

Dataset Release

  • Tool-Tissue Interaction Graph with MICCAI2020 paper: Learning and Reasoning with the Graph Structure Representation in Robotic Surgery
  • Surgical Report Generation and associated paper in ICRA2021: Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery
  • Surgical-VQA and MICCAI2022 paper: Surgical-VQA: Visual Question Answering in Surgical Scenes Using Transformer

    • Selected Awards

  • The Alan Turing Institute Post-Doctoral Enrichment Awards 2022
  • AUAPAF Conference Scholarship, 2018
  • ISEP PhD Fellowship, 2015 (NUS, Singapore)
  • Winner of KUETEF Undergraduate Paper Competition, 2011, 2012

    • Academic Services

  • * Area-Chair, MICCAI-2023
  • Co-organizer, DART MICCAI-2023 Workshop
  • Co-organizer, DART MICCAI-2022 Workshop
  • Chair, DART MICCAI-2022 Workshop
  • Chair, RISE-MICCAI Winter School 2022
  • Program Committee, MEDICAL IMAGING MEETS NEURIPS 2022
  • Program Committee, DART MICCAI-2021 Workshop
  • Program Committee, MEDICAL IMAGING MEETS NEURIPS 2021
  • Reviewer:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI'21-22)
    Medical Image Computing and Computer Assisted Intervention (MICCAI'18-22)
    IEEE International Conference on Robotics and Automation (ICRA'18-22)
    IEEE International Conference on Intelligent Robots and Systems (IROS'21-22)
    Medical Image Analysis (MedIA'20-22)
    IEEE Transactions on Medical Imaging (TMI'21-22)
    IEEE Robotics and Automation Letters (RA-L'18-22)
    Neurocomputing(18-22)
    International Journal of Computer Assisted Radiology and Surgery (IJCARS'19-22)
    Medical Imaging with Deep Learning (MIDL’20-22)
    Computerized Medical Imaging and Graphics (CMIG'21-22)

    Teaching

    2016-2018FallEE2024:Programming for Computer Interfaces, ECE Dept, NUS
    2017-2018FallBN5209: Neurosensor and Signal Processing, DME Dept, NUS
    2017-2018SpringEE2024:Programming for Computer Interfaces, ECE Dept, NUS


    © Mobarakol Islam | Last updated: May 2023