Savaş Yıldırım

Savaş Yıldırım is an Associate Professor in the Department of Computer Engineering at Istanbul Bilgi University, College of Engineering. He holds a PhD in Computer Engineering from Trakya University and completed his postdoctoral studies at Eberhard Karls Universität Tübingen, Germany. His academic work is centered on data science and computational linguistics, with a focus on Turkish language technologies.

His research interests include Natural Language Processing, Deep Learning, Big Data Analytics, and Open Source software. He actively contributes to advancing Turkish language processing through text normalization, synonym detection, and meronym extraction. His work bridges theoretical NLP with practical applications in public policy and industry.

The recent publications of Savaş Yıldırım are primarily in the domain of computational linguistics, with a strong emphasis on Turkish-specific challenges. The articles reflect a consistent trend in unsupervised and knowledge-poor methods for text analysis, focusing on morphological richness and resource scarcity in low-resource languages. Key themes include lexical semantics, text preprocessing, and pattern-based information extraction.

Notable scientific contributions include projects funded by TÜBİTAK and EU programs such as:

• Ağlandırılmış Türk Kamu Alanının Haritalanması (TÜBİTAK 2219)
• Metin Madenciliği Yöntemlerinin Uygulanması (TÜBİTAK 1001)
• Akıllı Hazine Nakit Yönetimi (TÜBİTAK TEYDEB)
• İnsan Kaynakları Süreçlerinde Öngören Mekanizmalar (TÜBİTAK TEYDEB)
• Engelleri Kaldırarak Bir Araya Gelelim (EU Urban Net – TÜBİTAK 1001)

Savaş Yıldırım has served as an academic coordinator and researcher in multiple nationally and internationally funded projects. He has also worked as a Data Science Trainer for The Banks Association of Turkey and as a trainer for IBM’s Academy of Technology. While no formal advisees are listed, his leadership in research projects indicates mentoring and collaborative supervision roles. He maintains an active research blog at openanalitik.wordpress.com.

He is associated with research initiatives in data analytics and natural language processing, particularly through project-based labs and interdisciplinary teams focused on public sector data and intelligent systems. These teams often involve collaboration between academia and industry, especially in finance and human resources technology.