PhD THESES ADVISED
Yıldız Karadayı, A Hybrid Deep Learning Framework for Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Data, 2020, co-advisor
MS THESES ADVISED
- Aysel Aydın, Business Process Management Standards, 2012
- Aslı Yılmaz, Software Cost for SOA Age, 2012
- Cihan Taşkın, Service Granularity for Transforming Legacy Systems to SOA, 2012
- Zeynep Erol, Information System for Diseases, 2012
- İbrahim Fırat Veral, Secure Loyalty Cards in Mobile, 2014
- Duygu Çolak, Concept Map Based Learning System, 2014
- Engin Ozer, Analysis of Effects of Economics News on the Price Fluctuations in Bist100 and Stocks Prices, 2015.
- Ramazan Cengiz, Location Estimation of Base Station of Mobile Phones Using Artificial Neural Networks, 2016.
- Burcu Yılmaz, A Look at Risk Measurement Methods of Investment and Pension Funds in Turkey, and Prediction of Risk Including Credit Risk, 2016.
- Ayşe Demirhas, Usage of Information Technologies in Container Shipping Industry and Impacts on Business: An ERP Solution, 2017.
- Recep Çifci, Smart Chatbot, 2018.
- Subhan Rana, Load Flow Based Electrical System Design and Short Circuit Analysis, 2019
- Taha Al-Bayati, Anomaly Detection in Time Series, 2019
- Mostafa Ziadoon Ibrahim Ibrahim, Peer to Peer and Master-Slave Topologies For Edge Computing in Internet of Things, 2019
- Uygar Şahin, Log Analysis with Anomaly Detection, 2019
- Mohammed Abduljabbar, Caching Algorithm Implementation for Edge Computing in IoT Network, 2020, co-advisor
- Ayşenur Gilik, Air Quality Prediction using a Hybrid Deep Learning Architecture, 2020, co-advisor
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