دکتر حمیدرضا مراتب

Biography – Dr. Hamid Reza Marateb
Name & Title
Dr. Hamid Reza Marateb – Associate Professor of Biomedical Engineering

Short Bio
Dr. Hamid Reza Marateb is a globally recognized biomedical engineering expert with core competencies in signal processing, machine learning, and AI for digital health. With over two decades of academic and industrial experience, he leads pioneering projects that bridge biostatistics, medical informatics, and AI for real-time healthcare applications.

Professional Background
Dr. Marateb received his B.Sc. in Biomedical Engineering from Shahid Beheshti University (2000), M.Sc. from AmirKabir University (2003), and European Ph.D. from Politecnico di Torino (2010). He has held key research roles at Stanford University, Aalborg University, and UPC Barcelona. Currently, he serves as an Associate Professor at the University of Isfahan and Senior Researcher at the Universitat Politècnica de Catalunya (UPC), Spain.

Dr. Hamid Reza Marateb is an expert in medical device regulations, with a strong focus on the European Union Medical Device Regulation (EU MDR 2017/745). His expertise spans Post-Market Surveillance (PMS), Post-Market Clinical Follow-up (PMCF), and Clinical Investigations, where he designs and evaluates regulatory-compliant plans in alignment with ISO 14155 and MEDDEV guidance. He has led the integration of AI-based tools for real-world evidence generation, safety monitoring, and clinical performance assessment. Dr. Marateb is also recognized for his leadership in AI regulation for medical devices, ensuring algorithm transparency, validation, and lifecycle management in compliance with MDR requirements. His work supports the safe and effective deployment of AI-driven health technologies within regulatory frameworks.

Key Contributions & Achievements
• H-index: 26 (Scopus); over 100 indexed publications with significant global collaborations
• Editorial Board Member: Frontiers in Physiology, Frontiers in Human Neuroscience, PLOS One, and more than 300 Peer reviews in 50+ WoS journals
• Member of IEEE (Senior), Marie Curie Alumni, and IHME GBD Collaborator, Healthcare Information and Management Systems Society (HIMSS) member.
• Recognized by Elsevier and Journal of Neural Engineering for outstanding peer review and editorial contributions
• Inventor of patented AI-based in-hospital mortality risk assessment system

Grants & Fellowships (Selected as PI or co-PI)
• EU Marie Curie TecnioSpring Fellowship (2015–2017) for AI-based EMG sensor system
• EU Beatriu de Pinós Fellowship (2022–2025) for real-time COVID-19 risk and hospital management system
• Erasmus+ Capacity Building Grant (2021–2024) for Iranian HEI modernization
• Valorization Grant from Xartec Salut (2023) for IP protection of in-hospital risk assessment innovation

• LLAVOR-A grant (2025) AGAUR, “PREPARE - Proactive Response and Efficient Planning with AI for Resilient Emergencies in Hospitals”

Speaking Topics & Expertise
• Machine Learning in Medical Diagnostics and Prognostics
• Neuromuscular Signal Processing and Control
• AI-Driven Hospital Capacity Planning
• COVID-19 and Chronic Disease Risk Modeling
• Integration of AI in Regulatory-Compliant Medical Devices

Event Relevance
Dr. Marateb’s expertise in AI-powered risk prediction and hospital resource optimization directly addresses emerging healthcare challenges. His participation will enrich discussions on resilient healthcare systems, predictive modeling, and translational AI in medicine.

Web of Science & Contact Information
WoS Author Profile: https://www.webofscience.com/wos/author/record/2622 
Email: hamid.reza.marateb@upc.edu | h.marateb@eng.ui.ac.ir 
Web: https://bioart.upc.edu/en/staff/ | https://engold.ui.ac.ir/~h.marateb/

Major Journals Published In
• The Lancet (Global Burden of Disease Series), The Lancet Neurology, The Lancet Public Health, The Lancet Rheumatology, Journal of the American College of Cardiology, BMJ, Heart
• IEEE TBME, TNSRE,  JBHI, IEEE Access
• Journal of Neural Engineering
• Scientific Reports
• Frontiers in Physiology, neuroscience, and Computational neuroscience
• Computers in Biology and Medicine, CMPB
• BMC Medical Research Methodology
• PLoS ONE, Diagnostics