Experience

My current research revolves around utilizing machine learning techniques to identify digital biomarkers associated with cardiovascular diseases. This research project is financially supported by Innovation Fund Denmark and conducted in collaboration with Bispebjerg Hospital and Cortrium ApS. The primary focus of this research involves analyzing ECG signals in an ambulatory setting, particularly during sleep or exercise, to establish correlations between arrhythmias and specific activities. Furthermore, we are actively involved in developing a mobile application that will streamline data acquisition from patients, enabling seamless analysis and patient monitoring. By exploring the potential of digital biomarkers and leveraging advanced technology, our goal is to enhance the diagnosis, understanding, and management of cardiovascular diseases.

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During my one-year internship at Philips from 2021 to 2022, I focused on Computer Vision applications within the field of Fetal Echocardiography. My primary responsibilities involved designing deep learning models for the detection of Cardio-Thoracic Ratio and implementing segmentation algorithms.

Additionally, I had the opportunity to contribute to a project funded by the Bill and Melinda Gates Foundation. In this project, I developed models for the automatic assessment of Amniotic Fluid Index and accurate placement of the placenta in the womb. These models utilized videos captured by the Philips Lumify device.

During this time, I also had the privilege of publishing a paper at EMBC'22. The paper focused on measuring the quality of manual annotation using semi-supervised learning techniques, offering valuable insights into improving the annotation process.

Throughout my Master's degree program, in addition to completing my regular coursework, I had the opportunity to publish two papers. One of these papers was presented at IEEE I2CT'21 and focused on the topic of monocular depth estimation. The paper introduced a novel transformer network called "Focal-WNet" that demonstrated promising results in this field.

Furthermore, I also presented another paper at IEEE PuneCon'21, which explored the exciting realm of Quantum computing. This research delved into the advancements, applications, and potential impact of Quantum computing in various domains.

These experiences allowed me to contribute to the academic community and expand my knowledge in cutting-edge technologies and research areas.