Secured third place in the European Society of Intensive Care Medicine (ESICM) Datathon 2023. Developed an integrated simulation framework for ICU bed demand modeling that compared fixed versus variable bed allocation strategies. Invited to present findings at the ESICM LIVES 2023 conference in Milan, Italy.
Achieved second place in NASA Space Apps Challenge for developing an AI-based exoplanet classification system. Created a neural network model with 78% accuracy to automatically analyze NASA TESS mission data and categorize celestial objects.
Earned second place for comparative research on Quantum Random Access Memory (QRAM) architectures. Conducted extensive literature review and technical analysis of four prominent QRAM models, delivering formal research paper and academic presentation.
Received Certificate of Excellence from QUAE Global Research Program for outstanding research performance and contributions to academic research projects.
Participated in national AI development competition organized by BTK Akademi, Google, and Girişimcilik Vakfı, demonstrating skills in rapid AI solution development and team collaboration.
Published peer-reviewed conference paper at IEEE TUAC 2025 on the design and implementation of an interactive FPGA-based SAP-1 processor with real-time feedback mechanisms for educational purposes.
Co-authored research paper published in PLOS ONE, a peer-reviewed open-access scientific journal. The study focused on modeling ICU bed demand variability and conducting comparative cost analysis of fixed versus variable bed arrangements using simulation approaches.