Current Students

PhD Students

  • Arda Çelebi
  • Şaziye Betül Özateş
  • Nuriye Özlem Özcan Şimşek, Co-advise with Fikret Gürgen
  • Merve Unlu
  • Enes Taylan
  • Mert Tiftikci

MS Students

  • Mert Basmaci
  • Sahin Batmaz
  • Berfu Buyukoz
  • Bedirhan Caldir
  • Hilal Donmez, Co-advise with Elif Ozkirimli
  • Hamdi Erkut, Co-advise with Elif Ozkirimli
  • Zehra Melce Husunbeyi
  • Gamze Ege Kaya, Co-advise with Kutlu Ulgen
  • Abdullatif Koksal
  • Riza Ozcelik, Co-advise with Elif Ozkirimli
  • Selen Parlar, Co-advise with Elif Ozkirimli
  • Gokce Uludogan, Co-advise with Elif Ozkirimli
  • Atif Emre Yuksel

PhD Alumni

  • Ilknur Karadeniz, (PhD, 2019), Thesis: Ontology-based Entity Tagging and Normalization in the Biomedical Domain.
    Next Position: Assistant Professor at Isik University, Computer Engineering Department, Istanbul.
  • Hakime Ozturk, (PhD, 2019, Co-advise with Elif Ozkirimli), Thesis: Text-based Machine Learning for Modelling Drug-Target Interactions.
    Next Position: Researcher at DKFZ (German Cancer Research Center), Heidelberg.

MS Alumni

  • Mert Tiftikci, (MS, 2019), Mention Extraction and Normalization using Ontologies in the Biomedical Domain.
  • Burak Sivrikaya, (MS, 2019), Using Reviews on the Web to Predict Box Office Success with Machine Learning Methods.
  • Atakan Yuksel, (MS, 2019, Co-advised with Elif Ozkirimli), Extracting Protein-Ligand Interactions from the Biomedical Literature using Deep Learning Approaches.
  • Mehmet Durna, (MS, 2019), Identifying Event Nuggets in Turkish News Texts using Natural Language Processing and Machine Learning Methods.
  • Anil Caliskol, (MS, 2019), Hit Song Prediction using Feature-Based Machine Learning.
  • Mirac Goksu Ozturk, (MS, 2018, Co-adivsed with Cenk Demiroglu), Speaker Adapted Speech Synthesis with Deep Neural Networks.
  • Gizem Soğancıoğlu, (MS, 2016), A Semantic Sentence Similarity Estimation Approach For The Biomedical Domain.
  • Ferhat Aydın, (MS, 2016), Identifying Passages Describing Protein-Protein Interaction Detection Methods in Biomedical Full Text Articles using Information Retrieval Methods.
  • Erinç Gökdeniz, (MS, 2016, Co-advised with Reşit Canbeyli), Natural Language Processing For Mining Neuroanatomical Relations Among Brain Regions.
  • Muhammed Yavuz Nuzumlalı, (MS, 2015), Analyzing Stemming and Sentence Simplification Methodologies for Turkish Multi-document Text Summarization.
  • Eda Okur, (MS, 2015), Named Entity Recognition for Turkish Microblog Texts using Semi-supervised Learning with Word Embeddings.
  • Hakime Öztürk, (MS, 2014, Co-advised with Elif Özkırımlı), Analyzing Drug Targets using Ligand Similarity.
  • Hakan Demir, (MS, 2014), Semi-Supervised Learning based Named Entity Recognition for Morphologically Rich Languages.
  • Şaziye Betül Özateş, (MS, 2014), Multi-document Summarization using Dependency Grammars.
  • Burak Aydın, (MS, 2014), Utilizing Out-of-domain Data through Language Modeling based Vocabulary Saturation for Turkish-English Machine Translation.
  • Melis Özgür Çetinkaya Demir, (MS, 2014, Co-advised with Ethem Alpaydın), Semi-supervised Learning with Softly Labeled Data for Bioinformatics Applications.
  • Çağıl Uluşahin Sönmez, (MS, 2014), Text Normalization using Lexical and Contextual Features.
  • Gözde Kaymaz, (MS, 2013), Detection of Topic-Based Opinion Leaders in Microblogging Environments.
  • Melike Korucuoğlu, (MS, 2013, Co-advised with Hasan Otu), Bayesian Network Based Pathway Analysis of High Throughput Biological Data.
  • Haluk Doğan, (MS, 2013, Co-advised with Hasan Otu), Discovering a Gene Interaction Atlas using Bayesian Networks and External Biological Knowledge.
  • Arda Çelebi, (MS, 2012), Self-Trained Discriminative Constituency Parser With Hierarchical Joint Learning Approach.
  • Cüneyd Murad Özsert, (MS, 2012), Word Polarity Detection using a Multilingual Approach.