Hamid Reza Marateb, Ph.D. ,

Associate Professor

Department Of Medical Engineering
Faculty Of Engineering

Email

h.marateb@eng.ui.ac.ir

Phone

3137935616

Address

University of Isfahan Azadi square Isfahan, Iran
Postal Code : 8174673441

Overview

Biography

As a Senior Scientist specializing in biomedical engineering, signal processing, and artificial intelligence, my research focuses on developing advanced predictive models and AI-driven solutions to enhance patient outcomes in healthcare. With extensive experience designing and implementing real-time algorithms for signal analysis and data modeling, I have applied machine learning and biostatistical techniques to patient risk stratification, disease prognosis, and hospital capacity management. My work emphasizes interdisciplinary collaboration, particularly in integrating AI with healthcare workflows for early disease detection, resource allocation, and patient evolution prediction. This aligns with my expertise in managing large-scale, collaborative projects involving hospitals and academic institutions, where I have contributed to innovative solutions in neuromuscular diagnostics, cardiovascular risk assessment, and pandemic response systems. This background supportsleveraging AI for resilient emergency planning in hospital settings.

Research Interests

Medical data mining System identification Optimisation Computational Neuroscience

Memberships

2008-Present Member, Institute of Electrical and Electronics Engineers(IEEE) 2020-Present SeniorIEEEmember 2020-Present Member, IEEE Engineering in Medicine and Biology Society 2021-Present MarieCurie Alumni Association member 2022- Present Sigma-Xi Scientific Research Honor Society member 2022-2025 Beatriu de Pinósfellow 2022- Present Institute for Health Metrics and Evaluation Senior GBD collaborator

Professional activities

Biomedical signal analysis Artificial Intelligence

Education

Bachelor, Medical Engineering, Shahid beheshti Medical University [Tehran - Iran]
Master's degree, Biomedical Engineering, Amirkabir university of technology [Tehran - Iran]
Ph.D., Biomedical Engineering , Politecnico di Torino [Turin - Italy]
Postdoctoral, Biomedical Engineering, Stanford [Palo Alto - USA]
Postdoctoral, Biomedical Engineering, Aalborg [Aalborg - Denmark]
Postdoctoral, Data science , UPC [barcelona - Spain]

Teaching

Introduction to Biomedical Engineering Electrical Circuits I for Biomechanics Electrical Circuits I Instrumentation Laboratory Biological Systems Modeling Special Topics I (EMG Signal Processing) Biostatistics and Probability System Identification Special Topics II (Medical Device Regulation) Microprocessors I Technical Writing Control of Neuromuscular Systems Technical English Research Methods and Ethics in Biomedical Engineering Linear Optimization Methods Statistics in Sports Engineering Pattern Recognition Professional Principles in Research and Documentation Stochastic Optimization Methods and Applications in Biomedical Engineering Advanced Programming Special Topics in Engineering Computing and Mathematics Medical Device Design Advanced Neuromuscular Systems Engineering (doctoral course; 2 lectures) EEN205 – AI Regulations in Industrial Applications (lecture in Rehabilitation Engineering)

Research Output

All

Article

Articles

2025

COVID‑19 Vaccination and Cardiovascular Events: A Systematic Review and Bayesian Multivariate Meta‑Analysis of Preventive Benefits and Risks

( Article . Gold )

Karimi, R., Norozirad, M., Esmaeili, F., Mansourian, M., Marateb, H.R.

International Journal Of Preventive Medicine (20088213)16

Decoding the “Pain-to-Door” interval using psychological, medical, and demographic factors: A multi-center study

( Article . )

Roohafza, H., Noohi, F., Bagherieh, S., Mansourian, M., Babahajiani, M., Marateb, H.R., Ansari, M.A., Mousavi, A.F., Peighambari, M.M., Sadeghi, M.

PLoS ONE (19326203)20(6 June)

Background Reducing the amount of time between the onset of symptoms and presentation to a healthcare facility, namely the “pain-to-door” interval, is of utmost importance in patients with myocardial infarction. In the present study, we aimed to shed light on the psychological, medical, and demographic factors that are associated with this vital time, and the details of this association. Methods We used the baseline data of 1685 participants from a 3-year, multi-centric, cohort study. The pain to door time was estimated as the interval between symptoms’ onset and arrival at the hospital. Patients were asked to fill out valid and reliable questionnaires regarding sociodemographic factors, depression, health anxiety, type D personality, sense of coherence, coping strategies, and quality of life. Data was then analyzed to attain the p-value and hazard ratios (HR) of different variables. Results In the multivariate analysis, being male (HR: 0.81, 95% CI: 0.68–0.98) and a history of angina (0.82, 0.69–0.96) were associated with shorter pain-to-door durations. A history of diabetes mellitus also made the cut marginally (p-value: 0.059). On the contrary, health anxiety (1.27, 1.09–1.49), history of depression (1.57, 1.21–2.05), high socioeconomic status (1.25, 1.03–1.51) and sense of coherence (1.34, 1.14–1.57) scores were associated with longer pain-to-door durations. Conclusion Our findings demonstrate that personal, social, and economical characteristics play a pivotal role in determining patients’ pain-to-door time duration. Screening high-risk individuals in terms of the factors that tend to increase the pain-to-door time alongside educating people and healthcare providers on the importance of this interval and its contributing factors must be a priority considering the devastating burden of CVDs. © 2025 Roohafza et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Proactive recognition and early detection in communities through targeted HIV screening

( Article . )

Nejat, M., Marateb, H.R., Farahani, M.A., Rajabi, M.Z., Nasirian, M., Mañanas, M.A., Tarrahi, M.J., Mansourian, M.

Scientific Reports (20452322)15(1)

The complex interplay: How lifestyle and psychosocial factors contribute to hypertension in myocardial infarction patients—An integrated model[El intrincado entrelazamiento: cómo los factores de estilo de vida y psicosociales contribuyen a la hipertensión en pacientes con infarto de miocardio – un modelo integrado]

( Article . )

Roohafza, H., Mansourian, M., Zarimeidani f., , Rahmati r., , Shakibaei n., , Marateb, H.R., Noohi, F., Salari a., , Sadeghi, M.

Hipertension y Riesgo Vascular (18891837)42(2)pp. 85-93

Unraveling the link between birth order and blood pressure: insights from a comprehensive systematic review and meta-analysis

( Article . Gold )

Habibi, D., Koochekian, A.H., Marateb, H.R., Masoudi, H., Mirtavoos-mahyari, H., Moradi, M., Akbarzadeh, M., Mansourian, M., Mañanas, M.A., Kelishadi, R.

Facets (23711671)10pp. 1-8