I'm committed to advancing my career as a Lead Biomedical Scientist. Currently pursuing a Ph.D. in Biomedical Engineering, I analyze the wearable EEG and physiological data using advanced electrophysiology, signal processing, and machine learning methodologies. My current research focuses on developing automated systems for identifying pain-related biomarkers. Specifically, I investigate the spine–brain neural axis and the neural dynamics surrounding preoperative and postoperative phases to optimize and personalize neuromodulation therapies, including spinal cord stimulation, aimed at treating chronic pain and neurological disorders.

Ph.D. in Biomedical Engineering (BME)
The University of Arizona, Tucson, AZ, USA | 2024 – Present
Advisor: Dr. Ilknur Telkes

M.Sc. in Biomedical Engineering (BME)
Seraj University, Tabriz, East Azerbaijan, Iran | 2020 – 2022
Thesis: Multimodal Data Fusion for Medical Image Analysis Using Machine Learning
Advisor: Dr. Saman Rajebi
CGPA: 17.98/20 (≈ 3.54/4.0)

B.Sc. in Biomedical Engineering (BME)
Islamic Azad University, Tabriz, East Azerbaijan, Iran | 2010 – 2014
CGPA: 16.27/20 (≈ 3.32/4.0)

Supervisor, Clinical Engineer (SCE)
Tabriz University of Medical Sciences, East Azerbaijan, Iran | 2017 – 2024
Industry: Hospitals & Health Care
Office: CED 311, V.C. Treatment Affairs Building, Tabriz University of Medical Sciences, University Main Street, Tabriz, East Azerbaijan, Iran.
Responsibility: I led clinical engineering teams, consisting of biomedical engineers, in hospitals to ensure the safe and effective use of medical devices. My responsibilities included managing medical devices, training end-users, and supervising the delivery and installation of capital equipment. I also collaborated with the WHO on the Iran COVID-19 Emergency Response Project, conducting data analysis to enhance patient care. Additionally, I was involved in licensing advanced medical imaging systems and establishing newly equipped therapeutic wards. Throughout my career, I have found opportunities to optimize device use and reduce costs across healthcare facilities.

Clinical Engineer (CE)
Tabriz University of Medical Sciences, East Azerbaijan, Iran | 2014 – 2017
Industry: Hospitals & Health Care
Office: CED 311, V.C. Treatment Affairs Building, Tabriz University of Medical Sciences, University Main Street, Tabriz, East Azerbaijan, Iran.
Responsibility: I evaluated and supervised the procurement of capital medical devices, ensuring they met hospital needs and fully complied with regulations. My responsibilities also included conducting safety inspections, audits, and quality control, as well as implementing preventive maintenance protocols to maximize medical equipment reliability. Additionally, I created clear and concise technical documents, including checklists and quick-reference guides, to support clinical staff and enhance operational efficiency.

GRA: [Telkes Lab] Biomedical Engineering Department, University of Arizona – Dr. ilknur Telkes | 2025 – Present
Department Assistant: [BME Office] Biomedical Engineering Department, University of Arizona – Mr. Derrow | Summer 2025
GRA: [VSI Lab] Electrical and Computer Engineering Department, University of Arizona – Dr. Eung-Joo Lee | 2024 – 2025
Project Assistant: [ICERP21-22] Iran COVID-19 Emergency Response Project, WHO – Dr. Jaffar Hussain | 2020 – 2021
UTA: [BME090] Introduction to Clinical Engineering, Tabriz University – Dr. Danishvar | 2016 – 2017
UTA: [BME020] Equipment of Hospitals & Medical Centers, Islamic Azad University of Tabriz – Dr. Hashemiaghdam | 2013 – 2014
UTA: [BME006-8] Computer Programming & Algorithm Calculus, Islamic Azad University of Tabriz – Dr. Rajabioun | 2012 – 2013

Core:

• Clinical Research: Human & Animal Studies
• Biological Signal Processing: EEG | ECG | EMG | ECoG | EOG | ERG | PPG
• Clinical Data Analysis: ML | MATLAB | Python (NumPy, SciPy, Pandas, Matplotlib, Scikit-learn, scikit-image, OpenCV)
• Clinical Data Management: SQL | EHR | HIS
• Neuroscience: Pain (Neurobiology, Neuropathology, Neuropsychology, Neurophysiology)

Peripheral:

• Biostatistics: R | SPSS | Excel
• Documentation: Medical Writing | Overleaf | LaTeX | Word | PowerPoint | EndNote
• Medical Devices: Procurement | Maintenance | Safety | User Training | Regulatory Compliance
• Medical Image Analysis: MRI | CT | OCT | X-Ray | Histopathology
• Deep Learning: EfficientViT | Multimodal Learning | CNNs | LLMs
• IDEs: Jupyter Notebook | Visual Studio Code | Anaconda (Spyder)
• Soft: Organization Skills | Time Management | Google Workspace | Interpersonal Communication | Administrative Support

[On-Site] VSI, ECE, University of Arizona, AZ, USA – Dr. Eungjoo Lee | 2024 - 2025 🔗 Paper
[Remote] CHI, AIHI, Macquarie University, NSW, Australia – Dr. Sidong Liu | 2023 – 2024 🔗 Paper
[Remote] CEDP, Brunel University London, London, UK – Dr. Sebelan Danishvar | 2022 – 2023 🔗 Paper

Peer-Reviewer: IEEE Access: The Multidisciplinary Open Access Journal | January 2025 – Present 🔗 Journal | 🔗 Web of Science

[Research Assistantship]: Supported by the Telkes Lab, BME Department, University of Arizona ($71,158) | 2025 - 2028
[Herbold Fellowship]: Awarded by the College of Engineering, ECE Department, University of Arizona ($58,470) | 2024 - 2025
[Excellence Award, CE]: Recognized for outstanding performance in hospital-related affairs, TUoMS | 2015 – 2024
[Appreciation Award]: Honoured for contributions as technical project coordinator during the ICERP, WHO | 2020 – 2021
[Student Recognition Award]: For scientific and technical coordination contributions to the BMES Association, IAUT | 2011 – 2014

• Azerbaijani (Azeri) – Native / Mother Tongue
• Persian (Farsi) – Native / National Language
• Turkish – Professional Proficiency
• English – Professional Proficiency

Journal Paper:

• Saraei, M., Lee, E.J., & Lalinia, M. (2025). Deep Learning-Based Medical Object Detection: A Survey. IEEE Access (EMBS), 13, 53019–53038. 🔗 DOI | PDF
• Saraei, M., Kozak, I., & Lee, E.J. (2025). ViT-2SPN: Vision Transformer-Based Dual-Stream Self-Supervised Pretraining for Retinal OCT Classification. arXiv preprint arXiv:2501.17260. 🔗 Preprint | Slide
• Saraei, M., & Liu, S. (2023). Attention-Based Deep Learning Approaches in Brain Tumor Image Analysis: A Mini Review. Frontiers in Health Informatics, 12, 164. 🔗 DOI | PDF
• Saraei, M., Rahmani, S., Rajebi, S., & Danishvar, S. (2023). A Different Traditional Approach for Automatic Comparative Machine Learning in Multimodality COVID-19 Severity Recognition. Int. J. Innov. Eng., 3(1), 1–12. 🔗 DOI | PDF

Book:

• Saraei, M., et al. (2020). Biomedical Engineering in Healthcare Engineering [In Persian (Farsi): رویکرد مهندسی پزشکی در مهندسی بیمارستان]. Tehran, Iran: Miaad-e-Andisheh. ISBN: 978-622-231442-2, p. 254. 🔗 PDF
• Saraei, M., et al. (2018). Hospital Equipping and Development Standards [In Persian (Farsi): استاندارد تجهیز و توسعه بیمارستان]. Tabriz, Iran: Tabriz University of Medical Science (Pezhvak Alborz). ISBN: 978-622-6021-01-2, p. 227. 🔗 PDF
• Saraei, M., et al. (2016). Fundamentals of Computers and Networks in Biomedical Engineering [Persian (Farsi): اصول و مبانی رایانه و شبکه در مهندسی پزشکی]. Tehran, Iran: Miaad-e-Andisheh. ISBN: ‫‬‭‭978-600-8540-08-3‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬. p. 304.

Conference:

• Saraei, M., et al. (2022). Quality Improvement of Medical Device Management by Modeling of Hospital Clinical Engineering Department [In Persian (Farsi):ارتقای کیفیت مدیریت تجهیزات پزشکی با استفاده از مدل سازی بخش مهندسی بالینی بیمارستان]. The 3rd International Conference on Management and E-Commerce. Tehran: Tehran University. 🔗 PDF
• Saraei, M., et al. (2022). Quality Improvement of Hospital Clinical Engineering Department Management by Mathematical Modeling of Medical Device Layout [In Persian (Farsi):بهبود کیفیت مدیریت بخش مهندسی بالینی بیمارستان با استفاده از مدل سازی ریاضی چیدمان تجهیزات پزشکی]. The 5th International Conference of Interdisciplinary Studies in Management & Engineering, Tehran: Tehran University. 🔗 PDF
• Saraei, M., et al. (2019). Organizing Plan to Arrange Medical Equipment in the High-Risk Wards of the Hospital [In Persian (Farsi): طرح ساماندهی چیدمان تجهیزات پزشکی در بخش های حیاتی بیمارستان]. The 1st National Conference on New Technologies in Computer & Medical Engineering, Isfahan: Sheykh-Bahaei University. 🔗 PDF
• Saraei, M., et al. (2018). Organizing Plan to Manage the Supply, Maintenance, and After-Sales Service of Medical Equipment in Hospitals [In Persian (Farsi):طرح ساماندهی مدیریت تامین، نگهداشت و خدمات پس از فروش تجهیزات پزشکی بیمارستان]. The 2nd International Conference on Management & Business, Tabriz: Tabriz University. 🔗 PDF

The Pain Originates in the Brain!
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