Eda Capa Kiziltas

Dynamic Software Developer with a proven track record at Bursa Uludag University, excelling in .NET development and agile project management. Expert in machine learning and data analysis, I drive innovative solutions that enhance operational efficiency and exceed project goals. Committed to collaboration and problem-solving, I deliver impactful results in fast-paced environments.

• Agile Project Management: İstanbul Kurumsal Gelişim - 2019
• Project Management Methodologies: İstanbul Kurumsal Danışmanlık -2019
• Azure Fundamentals: Microsoft - 2020
• Information Security Management System Lead Auditor: CFE Certification - 2023
• ISO/IEC 27001:2022 Information Security Management System and Internal Auditor: CFE Certification - 2023

UNISIS: Official student portal of enrollment, registration and grading, RCM Modelling: Digital Twin project modelling reverse cold milling line with optimal pass thickness prediction, stiffness & strength curve fitting, pass number optimization., BAF Modelling: Digital Twin project modelling batch annealing furnace with time prediction, production planing optimization., CGL Modelling: Digital Twin project modelling continuous galvanizing line with annealing temperature optimization, force & speed prediction, production planing optimization., SmartMeter: Smart metering of electricity consumption and billing based on Power-Line Communication (PLC) technology, Cardiotocography Data Set Classification: Classification of CTG data for early warning in pregnancy, Skin Segmentation: Detection of nudity in social media applications by determining skin areas with image processing for age limitation, Humanoid Prosthetic Hand: Anthropomorphic Hybrid Prosthetic Hand model close to human anatomy for forearm function regain, RASAT: National Earth Observation Satellite

• Çapa Kızıltaş, Eda. 2019 Kompleks değerli yapay sinir ağlarının veri sınıflandırma problemlerindeki başarım analizi. MS thesis. Bursa Uludağ
• Niversitesi.
• Çapa, E., Çotur, V., Gümüş, C., Kaplanoğlu, E., Özkan, M. 2014. Comparative EMG classification of index finger. IEEE 2014 18th National Biomedical Engineering Meeting, 2014: 1-3.
• Uzun, A., Kızıltaş, E. Ç., Yılmaz, E. 2018. Cardiotocography Data Set Classification with Extreme Learning Machine. International Conference on Advanced Technologies, Computer Engineering and Science (ICATCES), 2018 : 224-230.
• Kiziltas, E. C., Uzun, A., Yılmaz, E. 2019. Skin Segmentation by Using Complex Valued Neural Network with HSV Color Spaces. International Journal of Multidisciplinary Studies and Innovative Technologies, 3(1): 1-4.
• Orta, A. H., Kayabaşı, İ., Saka, O. C., Öztürk, A., Aghayev, K., Gözay, A., Kızıltaş, E. 2018. Optimal Batch Creation for Bell-Type Industrial Batch Annealing Furnace with an Annealing Time Prediction Model. International Conference on Engineering Optimization, 2018: 1278-1289. Springer, Cham.
• Aghayev, K., Esendağ, K., Orta, A. H., Öztürk, A., İlker, S., Kızıltaş, E. 2018. Reversible Cold Rolling Process Time Optimization for an Industrial Application. International Conference on Engineering Optimization, 2018:1304-1315. Springer, Cham.
• Yılmaz İ., Arslan E., Kızıltaş, E., Çavdar K., 2019. Development of a prediction method of Rayleigh damping coefficients for free layer damping coatings through machine learning algorithms. International Journal of Mechanical Sciences, 166, 105237: