Hello! I am Sepehr SeifiZarei. An experienced developer and researcher with a strong background in programming and digital signal and image processing.
I’m deeply interested in the intersection of technology and healthcare. I have solid skills in data engineering, machine learning, deep learning, and medical image and signal processing. Python is more than a language to me, it’s my go-to tool in coding. I’m ready to apply these skills to make impactful changes in healthcare.
English: Fluent (TOEFL: 105/120)
Finnish: Basic
Auguest 2023 - Present
University of Turku
Supervisors: Assistant Prof. Matti Kaisti, Assistant Prof. Antti Airola
September 2018 - February 2022
Iran University of Science and Technology
Thesis: Despeckling of Medical Ultrasound Images using Deep Learning
Supervisor: Associate Professor. Hamid Behnam
GPA: 4/4
September 2013 - Auguest 2018
Bu-Ali Sina University
Thesis: Application of FibroScan® device in liver diseases
Supervisor: Professor. Soheil Ganjefar
GPA: 3.5/4
June 2023 - Present
University of Turku
Algorithm development, data analysis, and heart failure investigation for the Remote Monitoring in Health and Sports project.
The project aims to improve healthcare outcomes through the development and application of innovative technologies. will focus on the development of open technology platforms for vital sign monitoring at lower cost.
June 2022 - May 2023
University of Turku
Algorithm development, signal processing and atrial fibrillation detection using radar and bed sensor data for the Moore4Medical project.
The project aimed to address emerging medical applications and technologies that offer significant new opportunities for patients as well as for industry by reducing the need for hospitalisation, helping to develop personalized therapies, and realising intelligent point-of-care diagnostic tools.
Spring 2024
University of Turku
ECG and PPG circuit simulation with LT Spice software and hands-on lab implementation.
The course discusses about basics of different sensor types and their measurement pricinples, measurement of different medically relevant signals and embedded medical systems.
- S. Seifizarei et al, “Evaluating Piezoelectric Ballistocardiography for Post-Surgical Heart Rate Monitoring .”, Computing in Cardiology 2024 (Accepted)
- S. Seifizarei et al, “Continuous Radar-based Heart Rate Monitoring in Intensive Care Unit.”, IEEE Journal of Biomedical and Health Informatics (Submitted)
Address
Univ. of Turku, Turku, Finland
sepehr.seifizarei@utu.fi