What’s your name and where are you from?
My name is Amin Rezaei, and I’m originally from Iran.
Where are you working and who are your supervisors?
I am currently based in Copenhagen, Denmark, working as an Industrial PhD researcher at SENS Innovation ApS and affiliated with the University of Southern Denmark. My work is supervised by Dr. Morten Kjærgaard from the industrial side, and from the academic side, my main supervisor is Professor Jasper Schipperijn at the University of Southern Denmark (SDU).
What’s your educational background?
I hold a Master of Science degree in Biomedical Imaging from the University of Turku in Finland. During my graduate studies, I focused on imaging technologies, gaining hands-on experience in health technology, machine learning, computer vision, and signal processing. Before that, I earned a Bachelor’s degree in Solid-State Physics from Azad University, where I developed a strong foundation in theoretical physics and analytical thinking, which allows me to confidently tackle complex problems.
What was the last professional or educational activity you carried out before joining LABDA? and how did you decide to join LABDA?
Before joining LABDA, I worked as a quality control technician at a car manufacturing facility in Finland, where I saw firsthand how advanced technologies could optimize industrial processes. This sparked my interest in applying technology-driven solutions to real-world challenges. Later, during my Master’s studies, I explored the intersection of technology and digital health, which deepened my understanding of how technology can be effectively integrated into healthcare to enhance patient outcomes and improve healthcare delivery. Coming from a physics background, it has always been my ambition to bridge the gap between scientific discovery and industrial application. When I discovered LABDA’s industrial PhD position, I realized it was the ideal opportunity to apply my skills and contribute meaningfully to both industry and science while creating a positive impact on people’s lives.
What’s your PhD topic?
My PhD research, titled ‘Multi-source Time Series Data Analysis,’ seeks to bridge critical gaps in physical activity classification. By reviewing, developing, and validating advanced methods, I aim to enhance the analysis of multi-source, multi-modal behavioral data. My research spans three primary areas: a comprehensive review of classification algorithms, the development of a robust data collection pipeline, the application of probabilistic data fusion models to collected data, and a deep exploration of probabilistic frameworks for uncertainty quantification.
To achieve these objectives, I employ machine learning techniques and probabilistic approaches for algorithm development and model training. My focus is on creating practical and applicable solutions that can be readily integrated into industrial settings.
What would you like to achieve with your research work?
My research focuses on developing scalable and adaptable tools and methods within the fields of health technology, physical activity, and public health. I aim to improve data quality and extract actionable insights that are directly relevant to the needs of my host organization. Through this work, I hope to empower researchers and practitioners to make informed data-driven decisions by providing a more nuanced approach to measuring physical activity in context.
What’s your role within LABDA?
Currently, I serve as a representative of the supervisory board along with Henrik.
Can you tell us one personal thing about you that is weird/funny?
I’ve turned our office into a caffeine sanctuary. We’ve traded in those sad little pod machines for a full-blown barista setup, complete with a weekly subscription to the freshly roasted beans from South and Central America. It’s a bit like building a cult around coffee, but hey, the results are delicious!
