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Mobarak Hoque

Dr

Accepting PhD Students

PhD projects

I have had the following PhD openings: [1. Interactive Vision-Language Foundation Models for Decision Support in Pathological Stratification of Appendix Cancers (https://www.findaphd.com/phds/project/bicentenary-interactive-vision-language-foundation-models-for-decision-support-in-pathological-stratification-of-appendix-cancers/?p187373)]; [2. Multimodal LLM Agents for Early Detection of Brain Tumour Recurrence (https://www.findaphd.com/phds/project/multimodal-llm-agents-for-early-detection-of-brain-tumour-recurrence/?p186847)]; [3. Multimodal LLM Agents for Early Detection of Brain Tumour Recurrence (https://www.findaphd.com/phds/project/multimodal-llm-agents-for-early-detection-of-brain-tumour-recurrence/?p186847)]; [4. Surgical AI Copilot: Multimodal LLM Agent in Minimally Invasive Surgery (https://www.findaphd.com/phds/project/surgical-ai-copilot-multimodal-llm-agent-in-minimally-invasive-surgery/?p186856)].

Personal profile

Overview

Dr Mobarak Hoque is a Senior Lecturer (Associate Professor) in Multimodal Agentic AI for Healthcare, at the Division of Informatics, Imaging and Data Science, University of Manchester. He also currently appointed as an honorary senior research fellow positions at University College London. He holds a PhD in AI from the National University of Singapore and was a postdoctoral researcher at the Hawkes Institute at UCL, and the BioMedIA group at Imperial College London. Before his academic career, he gained extensive industry experience in real-world translation of machine learning and computer vision research as a Senior Software Engineer at Samsung R&D Institute.

His pioneering work on multimodal medical imaging AI has been widely recognised by leading international groups across academia and industry. His research focuses on developing safe, trustworthy, and adaptive multimodal large vision-language models and AI agents for medical imaging and surgical intelligence. He has published over 100 papers in top-tier peer-reviewed journals and conferences in medical imaging AI and multimodal LLM. He serves as Area Chair and Session Chair for MICCAI (2022–2025) and IPCAI (2024–2026), Senior Program Committee Member for AAAI 2026, and Organising several international workshops, including MICCAI-DART (2022–2023)MICCAI-UNSURE 2025, and IROS-C4SR+ 2025. He also serves on the Editorial Board of Nature Scientific Reports.

Research interests

  • Mulitmodal LLM Agent in Healthcare
  • Medical Imaging AI
  • Safe and Trusted AI
  • Foundation Model
  • Biomedical Data Science

My group

Find details about my group at: https://mobarakol.github.io/

Education/Academic qualification

Doctor of Philosophy, Representation Learning in Multimodal Spatiotemporal Image-Guided Medical Procedures, National University of Singapore (NUS)

1 Aug 20153 Aug 2019

Award Date: 31 Dec 2019

External positions

Honorary Senior Research Fellow, University College London (UCL)

1 Jul 202530 Jun 2028

Senior Research Fellow, University College London (UCL)

1 Aug 202230 Jun 2025

Research Associate, Imperial College London

1 Feb 202030 Jul 2022

Research Fellow, National University of Singapore (NUS)

1 Aug 201931 Jan 2020

Areas of expertise

  • QA75 Electronic computers. Computer science
  • Medical Imaging AI
  • Artificial Intelligence (AI)
  • Multimodal LLM/VLM
  • Safe and Responsible AI
  • Agentic AI

Accepting PhD students

  • Accepting PhD students

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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