AI and Cybersecurity
Courses
MS Thesis Students Supervised
Artificial Intelligence and Machine Learning
Courses
MS Thesis Students Supervised
- Baransel Saginda - MS Thesis: “Deep Learning Based Anomaly Detection on System Logs Using Time Differences”, 2020
- Selim Surucu - MS Thesis: “Measuring Political Polarization Using Big Data: The Case of Turkish Elections”, 2020
- Betul Bayrak - MS Thesis: “Evaluation of Graph Embedding-based Reasoning Over Knowledge Graphs”, 2020
- Hamza Haruna Mohammed - MS Thesis: “Multi-label classification of text document using deep
learning”, 2019
- Nazlı Nazlı - MS Thesis: “Analysis of machine learning-based spam filtering techniques”, 2018
- Onur Goker - MS Thesis: “Spam filtering using big data and deep learning”, 2018
Courses
MS Thesis Students Supervised
- Mehmet Murat Erol - MS Thesis: “Temporal Video Segmentation”, 2019
- Mustafa Karasolak - MS Thesis: “Matching composite drawings and mugshot photographs to determine
the identity of the person”, 2019
- Inas Mudhere Raghib Kafi Al-Kamachy - MS Thesis: “Classification of diabetic retinopathy using pre-trained deep learning models”, 2019
- Merve Duman - MS Thesis: “Automatic identification and measurement of antibiogram analysis”, 2019
- Mohanad Ali Gashot - MS Thesis: “A comparative analysis of video summarization techniques”, 2019
- Mustafa Nahedh Hasan Al-Janabi - MS Thesis: “Digital video stabilization using artificial neural
networks”, 2019
