Dr Mohamed ElbadawiLecturer in Computational Physiology / Biomedicine (T&R)Email: m.elbadawi@qmul.ac.ukRoom Number: Room 4.13, Fogg buildingWebsite: https://www.linkedin.com/in/dr-moe-elbadawi/Support Hours: Please email to arrange a meetingProfileTeachingResearchPublicationsPublic EngagementScholarly ContributionsProfileBio Dr Mohamed Elbadawi is the module lead for ‘AI and Data Analytics in Physiology and Biomedicine’. Dr Elbadawi’s research centres on the use of digital technologies to advance healthcare, including machine learning, robotics and 3D printing. He has been named on the ‘Stanford Top 2% Scientist’ for two consecutive years (2022, 2023). Academic Degrees PhD Mechanical Engineering, University of Sheffield 2014-2017MSc Biomedical Engineering, University of Surrey 2012-2013BSc Pharmacology, University of Bristol 2007-2010 Available Research Opportunities PhD An Innovative Machine Learning Pipeline For Accelerating the Translation of Medicinal Hemp Postgraduate TeachingModule Lead BIO729P: AI and Data Analytics in Physiology and Biomedicine Bio730P: Developing AI solutions in the Biosciences For this module, PG students have the opportunity to exercise what they have learnt to develop innovative solutions for unmet biosciences needed. Students work in teams to plan, implement and present their solutions for a given topic. Examples of research topic include solutions in drug discovery, medical image analysis and healthcare Internet of Things (IoT).ResearchResearch Interests: Artificial Intelligence for Drug Discovery & Drug Development 3D Printing for manufacturing precision medicine Bioelectronics for programmable drug delivery systems Rheology for characterising viscoelastic materials PublicationsSee Mohamed's Google Scholar PagePublic EngagementAI for Managing Medicines Working with TSIP, we hosted workshops with the South London Community to co-produce AI solutions for helping patients to independently manage their own medication. Scholarly ContributionsEditorial Roles Editorial Board member of Frontiers in Industrial Microbiology