Hamid Reza Marateb
Hamid Reza Marateb (born September 5, 1978) is an Iranian biomedical engineer known for his contributions to medical data mining, clinical evaluation, and post-market clinical follow-up of medical devices.[1]
Contents
Early life and education
Marateb was born on September 5, 1978, in Tehran, Iran.[1] He obtained his Bachelor of Science in Biomedical Engineering from Shahid Beheshti University of Medical Sciences in Tehran, Iran, in 2000 and a Master of Science in Biomedical Engineering from Amir Kabir University of Technology, Tehran, Iran, graduating in 2003. Later, he earned his Ph.D. in Biomedical Engineering from Politecnico di Torino in Turin, Italy in 2010.[1][2]
Career
Professional Career
From 2000 to 2003, Marateb was an engineer at Mircompany in Tehran, later a research assistant at the Electronics and Computer Research Centre, University of Isfahan, Iran (2003-2008), and a research assistant at LISiN Laboratory of Engineering of Neuromuscular System in Turin, Italy (2008-2009). [1]
He conducted research at institutions like PAIRE - Palo Alto Institute for Research and Education in California and Stanford University in 2009. Marateb has served as an associate professor at the University of Isfahan, Iran, since 2012, and concurrently as a senior researcher at the Universitat Politècnica de Catalunya, Spain, since 2015.[1][2]
He was a visiting researcher at Stanford University in 2009 and Aalborg University in 2010. He was a visiting professor at UPC, Barcelona, in 2012 and 2017.[3] His research line is Cognitive Informatics in Health and Biomedicine, mainly focusing on Clinical Neurophysiology, Computational Neurosciences, and Medical Data mining.
Marateb is a reviewer in more than 30 international ISI journals and is on the editorial board of Frontiers in Integrative Physiology, Frontiers in Cognitive Neuroscience, Basic and Clinical Neurosciences, Journal of Medical Signals and Sensors, Prosthesis, Advanced Biomedical Research, and PLOS One. He has also received European Union/Spanish grants.[3][4]
Research and Contributions
Marateb's research primarily focuses on Biomedical Informatics, specializing in medical data mining, biomedical signal processing (such as EMG, EEG, ECG), and biomedical image processing.[1]
Professional Affiliations
Marateb serves as an active member of the Institute of Electrical and Electronics Engineers (IEEE) since 2008[5] and holds the status of senior member in IEEE since 2020. Additionally, he is a member of the Marie Curie Alumni Association.[1]
Speaking Engagements and Conferences
Marateb has presented at several conferences, including the ISEK Conference in Aalborg, Denmark (2010 and 2014) and the European Society of Clinical Microbiology and Infectious Diseases (ECCMID) 2023.
In June 2023, the ECO Science Foundation, in collaboration with the University of Isfahan, Iran, and the UNITEL Project, organized a workshop titled Artificial Intelligence (AI) and e-Learning in Engineering Courses. This hybrid event brought together experts, scholars, students, and academic leaders to explore AI's transformative potential in education. Dr. Hamid Reza Marateb from the University of Isfahan and Engr. Jalil Raza from Pak-Austria Fachhochschule - Institute of Applied Sciences & Technology (PAF-IAST) Pakistan were the featured experts.
The workshop, moderated by Dr. Azam Naghavi of the University of Isfahan, highlighted various themes regarding AI integration in online learning. Dr. Marateb's presentation emphasized AI's role in online learning, learning analytics, and its impact on the instructor-learner relationship. He highlighted AI's benefits in personalized and adaptive learning, virtual assistants, and automated assessment, showcasing live applications of AI as a Teaching Assistant using GPT technology. However, he also cautioned about AI's limitations in education, emphasizing concerns about data privacy and ethical issues that require careful attention and resolution.
Media Appearances and Interviews
In 2021, he made an appearance in a discussion on Artificial Intelligence in Biomedical Applications in Barcelona, available on YouTube.[3]
Community Involvement
Marateb actively contributes to various projects focused on healthcare technologies, collaborating with institutions globally, including Isfahan University of Medical Sciences, WHO-collaborating centers, and the Iran Ministry of Health.
Current Projects
Marateb is engaged in numerous ongoing projects, including Drug Target Therapy Using Data Mining and Optimization, Innovative rehabilitation technologies, personalized medicine, neurological and neuromuscular decline assessment, CVD Risk Assessment, Risk Assessment of CVD-Cancer, and various projects related to medical regulations, AI in medical devices, and innovative health technologies.
Marateb has received an EU-funded Marie-Cure TECNIOspring grant from 2015 to 2017, and also EU-funded Beatriu de pinos Grant from 2022-2025. He is part of the R+D+I Xartec SalutNetwork in Health Technologies, and contributed to various special issues in the international journals.
Marateb is currently with the Department of Biomedical Engineering, Faculty of Engineering, the University of Isfahan, IRAN (since 2011; presently associate professor) and also Biosignal Analysis For Rehabilitation And Therapy Research Group (BIOART), Department of Automatic Control, Biomedical Engineering Research Center, Universitat Politècnica de Catalunya,[2] BarcelonaTech (UPC), Barcelona, Spain. Dr. Marateb has been responsible for the internationalization of the engineering faculty and was vice-chancellor of education of the engineering faculty and also a member of the international policy-making of the University of Isfahan. He has been serving the following courses in the department: modeling of biological systems, pattern recognition, electromyography, nonlinear optimization, biomedical signals processing, biostatistics, and research methods, scientific writing, engineering of neuromuscular systems, medical data mining, medical device regulations, introduction to biomedical engineering, and electric circuits I.
Awards and achievements
Marateb's achievements include the following:
- A presentation at the Idea Festival, University of Isfahan, Iran, in 2014.
- He gained recognition as a reviewer for ELSEVIER journals from 2015 to 2018
- He was selected as an outstanding reviewer by Journal of Neural Engineering in 2019.
- In 2019, he received internationalization recognition from the University of Isfahan.
- In 2023, he received the first rank from AD Scientific Index 2024 among University of Isfahan’s biomedical engineer scientists.
Publications
Following is the list of Marateb's selected publications over his career.[3][4]
- Target trial emulation with multi-state model analysis to assess treatment effectiveness using clinical COVID-19 data
- Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study
- Global, regional, and national burden of diabetes from 1990 to 2021, with projections of prevalence to 2050: a systematic analysis for the Global Burden of Disease Study 2021
- Post-discharge health assessment in survivors of coronavirus disease: a time-point analysis of a prospective cohort study
- A Cardiovascular Risk Assessment Model According to Behavioral, Psychosocial and Traditional Factors in Patients with ST-Segment Elevation Myocardial Infarction (CRAS-MI): Review of Literature and Methodology of a Multi-Center Cohort Study
- Effects of man-made electromagnetic fields on heart rate variability parameters of general public: A systematic review and meta-analysis of experimental studies
- A real-time method for decoding the neural drive to muscles using single-channel intra-muscular EMG recordings
- A novel spatial feature for the identification of motor tasks using high-density electromyography
- COVID-SAFE: An IoT-based System for Auto-mated Health Monitoring and Surveillance in Post-Pandemic Life
- A hybrid computer-aided-diagnosis system for prediction of breast cancer recurrence (HPBCR) using optimized ensemble learning[6]
- Online mapping of EMG signals into kinematics by auto encoding
- Accuracy assessment of CKC high-density surface EMG decomposition in biceps femora’s muscle
- A noninvasive method for coronary artery diagnosis using a clinically-interpretable fuzzy rule-based system
- Outlier detection in high-density surface electromyography signals.[7]
- Manipulating measurement scales in medical statistical analysis and data mining: A review of methodologies
- A one-year hospital-based prospective COVID-19 open-cohort in the Eastern Mediterranean region: The Khorshid COVID Cohort (KCC) study
- A Hybrid Dynamic Wavelet-Based Modeling Method for Blood Glucose Concentration Prediction in Type 1 Diabetes[8]
- A hybrid intelligent system for diagnosing microalbuminuria in type 2 diabetes patients without having to measure urinary albumin.[6]
- Semi-supervised active transfer learning for fetal ECG arrhythmia detection[9]
- First growth curves based on the World Health Organization reference in a Nationally-Representative Sample of Pediatric Population in the Middle East and North Africa (MENA …
- Robust decomposition of single-channel intramuscular EMG signals at low force levels
- PARS risk charts: A 10-year study of risk assessment for cardiovascular diseases in Eastern Mediterranean Region
- Rigorous a posteriori assessment of accuracy in EMG decomposition
- Resolving superimposed MUAPs using particle swarm optimization
- Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study.[10]
References
- ↑ 1.0 1.1 1.2 1.3 1.4 1.5 1.6 "ORCID". https://orcid.org/0000-0003-4408-2397.
- ↑ 2.0 2.1 2.2 "Marateb, Hamidreza". https://futur.upc.edu/33057000.
- ↑ 3.0 3.1 3.2 3.3 "Scopus preview - Marateb, Hamid Reza - Author details - Scopus". https://www.scopus.com/authid/detail.uri?authorId=35759194200.
- ↑ 4.0 4.1 "Hamid Reza Marateb". https://scholar.google.com/citations?user=e9IuAXwAAAAJ&hl=en.
- ↑ "Hamid Reza Marateb". https://ieeexplore.ieee.org/author/37542601600.
- ↑ 6.0 6.1 Marateb, Hamid R.; Mansourian, Marjan; Faghihimani, Elham; Amini, Masoud; Farina, Dario (2014-02-01). "A hybrid intelligent system for diagnosing microalbuminuria in type 2 diabetes patients without having to measure urinary albumin". Computers in Biology and Medicine 45: 34–42. doi:10.1016/j.compbiomed.2013.11.006. ISSN 0010-4825. https://www.sciencedirect.com/science/article/pii/S0010482513003351.
- ↑ Rojas-Martínez, Mónica; Serna, Leidy Yanet; Jordanic, Mislav; Marateb, Hamid Reza; Merletti, Roberto; Mañanas, Miguel Ángel (2020-11-16). "High-density surface electromyography signals during isometric contractions of elbow muscles of healthy humans" (in en). Scientific Data 7 (1): 397. doi:10.1038/s41597-020-00717-6. ISSN 2052-4463. https://www.nature.com/articles/s41597-020-00717-6.
- ↑ Marateb, Hamid Reza (2020-01-01). "A Hybrid Dynamic Wavelet-Based Modeling Method for Blood Glucose Concentration Prediction in Type 1 Diabetes". Journal of Medical Signals and Sensors. https://www.academia.edu/71725917/A_Hybrid_Dynamic_Wavelet_Based_Modeling_Method_for_Blood_Glucose_Concentration_Prediction_in_Type_1_Diabetes.
- ↑ Mohebbian, Mohammad Reza; Marateb, Hamid Reza; Wahid, Khan A. (2023-01-01). "Semi-supervised active transfer learning for fetal ECG arrhythmia detection". Computer Methods and Programs in Biomedicine Update 3: 100096. doi:10.1016/j.cmpbup.2023.100096. ISSN 2666-9900. https://www.sciencedirect.com/science/article/pii/S2666990023000058.
- ↑ Marateb, Hamid Reza; Tasdighi, Zahra; Mohebian, Mohammad Reza; Naghavi, Azam; Hess, Moritz; Motlagh, Mohammad Esmaiel; Heshmat, Ramin; Mansourian, Marjan et al. (2021-08-03). "Classification of psychiatric symptoms using deep interaction networks: the CASPIAN-IV study" (in en). Scientific Reports 11 (1): 15706. doi:10.1038/s41598-021-95208-y. ISSN 2045-2322. https://www.nature.com/articles/s41598-021-95208-y.
