Sena Yalcin,

• Eye-tracking analysis forHCI research on gaze behavior and spatial learning in virtual environments
• Development of computational methods forvisual attention analysis in navigation experiments
• Deep learning–basedECG analysis for detecting Arrhythmogenic Right Ventricular Cardiomyopathy (ARVC)in collaboration with the University of Zurich

• Human–Computer Interaction (HCI)
• Eye-tracking and visual attention analysis
• Digital health technologies / medical AI
• Machine Learning and Deep Learning
• Data science and computational methods

Python-based bioinformatics pipeline for cancer analysis

Juli – Sep 2025 | FHNW, School of Data Science in Life Sciences

• Developed an analysis pipeline for cancer samples using RNA-Seq data and protein–protein interaction networks (Ensembl/STRING databases)
• Tools: Unix, Python, HPC (High Performance Computing), Git

MesTrack – Indoor-Navigationsystem

April 2023 | Hackathon-Projekt, Turkish Airlines, Istanbul, Turkey

• Leader development of an indoor navigation system to improve accessibility at airports and promote social inclusion
• Built a real-time tracking framework using Java, Python, JavaScript, and SQL
• Finalist (Top 10) at the Turkish Airlines Hackathon; received an offer for commercial development of the project

MesEarth – Analysis of structural integration in buildings during earthquakes

2023 | Hackathon-Projekt, Coderspace, Bursa, Turkey

• Conceptualized a device for analyzing building structures before, during, and after seismic events, inspired by personal experience with the earthquakes of February 6, 2023
• Integrated LoRaWAN (IoT) for robust long-range communication during infrastructure outages
• Finalist (Top 10) at the Earthquake Hackathon 2023

Yalçın, S., Boğa, Ö., & Pekmezekmek, A. (2015). The Role of St John’s Wort (Hypericum Perforatum) and Orphanin Interaction in Depression Treatment.Arşiv Kaynak Tarama Dergisi,24(4), 531-541. https://doi.org/10.17827/aktd.44735