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 focuses on building safe and responsible foundation models (e.g., multimodal large language model ) with robustness, fairness, reasoning and reliability in the applications of Image-guided Diagnosis and Intervention, Clinical Data Screening, and Health Data Science. Overall, I have around 12 years of research experience with a PhD and three postdoctoral roles in the academia of UCL, ICL and NUS and an industry role at SAMSUNG R&D. I have published around 70 peer-reviewed papers with citations of 2505, an h-index of 19 and an i10-index of 26. Overall, I have mentored 6 PhD students (including 1 co-supervising) and supervised 7 MSc and dozens of BSc students. Recently, I have been serving as the Area Chair and Oral Session Chair in the top medical AI conferences of MICCAI and ICRA and as an active reviewer for other top-tier conferences and journals. I am also involved in teaching, designing modules and assessing theses in the Department of MPBE and CS at UCL. Recently, I submitted an EPSRC Open Fellowship proposal with the title of “Towards Safe Surgery Using Responsible AI”. I have received several awards, including the Turing postdoctoral enrichment award, AUAPAF conference grant, ISEP PhD Fellowship, ICRA/MICCAI travel awards, and several best paper awards.

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