Mobarak I Hoque
Scholar

Mobarak I Hoque

Google Scholar ID: QUwym50AAAAJ
Associate Professor, The University of Manchester | UCL (SRF) | Imperial (RF) | NUS (RF/PhD)
Multimodal LLMs/VLMsMedical Imaging AISafe & Responsible AI
Citations & Impact
All-time
Citations
4,812
 
H-index
29
 
i10-index
53
 
Publications
20
 
Co-authors
0
 
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published over 100 papers in top-tier peer-reviewed journals and conferences; served as Area Chair or Senior Program Committee Member for several international conferences such as MICCAI (2022-2025), IPCAI (2024-2026), AAAI 2026; organized multiple international workshops including MICCAI-DART (2022-2023), MICCAI-UNSURE 2025, IROS-C4SR+ 2025; Editorial Board member of Nature Scientific Reports.
Research Experience
  • Academic Experience: Postdoctoral Researcher at Hawkes Institute, UCL, and BioMedIA group, Imperial College London. Industry Experience: Senior Software Engineer at Samsung R&D Institute.
Education
  • PhD: National University of Singapore, August 1, 2015 to August 3, 2019, in Representation Learning in Multimodal Spatiotemporal Image-Guided Medical Procedures.
Background
  • Research Interests: Multimodal LLM Agent in Healthcare, Medical Imaging AI, Safe and Trusted AI, Foundation Model, Biomedical Data Science. 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 focuses on developing safe, trustworthy, and adaptive multimodal large vision-language models and AI agents for medical imaging and surgical intelligence.
Miscellany
  • Personal Interests and Other: Not specifically mentioned
Co-authors
0 total
Co-authors: 0 (list not available)