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Mostafa Anoosha
Contact: m.anoosha@hull.ac.uk
Office: 320, Third floor, Robert Black Burn Building, University of Hull
Mostafa Anoosha is a KTP Associate and Responsible AI Engineer collaborating with Veracity Healthcare and the University of Hull, drawing on a multidisciplinary background in artificial intelligence, electrical engineering, and system validation to translate research into safe, deployable healthcare solutions. He leads the technical development of IRIS, an Innovate UK Knowledge Transfer Partnership project creating a responsible incident management platform for domiciliary care that integrates conversational AI, speech recognition, large language models, and human-in-the-loop decision support with strong privacy and regulatory safeguards. Alongside this platform work, his broader research investigates federated learning, multimodal AI, adversarial robustness, and uncertainty awareness, focusing on building dependable, transparent, and secure systems for real-world, human-centred deployment.
Publications:
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Google Scholar (https://scholar.google.com/citations?hl=en&user=1fNxR8AAAAAJ)
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Research Gate (https://www.researchgate.net/profile/Mostafa-Anoosha)
Useful URLs:
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LinkedIn (www.linkedin.com/in/mostafa-anoosha)
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GitHub (https://github.com/mociatto)
RESEARCH INTERESTS
Responsible AI
Agentic AI
Large Language Models
Edge Intelligence
Federated Learning
Funded Research Projects as PI/Co-I
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PhD Students/Research Staff
List of PhD students Dr. Ma supervises.
PhD in Machine Learning and Data Mining for Cancer Care
My role: Principal Supervisor

Eamonn Tuton
PhD in Digital Twin Logistics of Operations and Maintenance for Offshore Wind Farms
My role: Principal Supervisor

Lewis Petch
PhD in Machine Learning and Data Mining for Cancer Care
My role: Co-supervisor

Manuel Pinheiro
Wellcome Trust project: “3D analysis of maxillofacial growth in patients with cleft lip and palate”.
PostDoc
China Scholarship Council project “Deep learning for plant disease detection”
Visiting Researcher


Qingmao Zeng
