Savaş Yıldırım

QUALIFICATION

• Visiting Professor, Ryerson University, Toronto, Canada
  
•  Post-Doc, Eberhard Karls Universität, Tübingen, Germany
• PhD, Trakya University Computer Engineering
• MSc, ITU Information Technologies
• BA,  ITU Computer Engineering 

EXPERIENCE

• Visiting Professor, Ryerson University, Toronto, Canada
•  Post-Doc, Eberhard Karls Universität, Tübingen, Germany
• Assistant Professor, İstanbul Bilgi University Computer Engineering Department
• Data Science Trainer at The Banks Association of Turkey Training Center
• Teaching Assistant, Istanbul Bilgi University Computer Science Program
• Teaching Assistant, ITU Informatic Institute
• Eclipse & Java Trainer, IBM Academy of Technology
• Inforsense Software Turkey Datamining Counselling 

RESEARCH & PROJECTS & Consultancy

Last 8 years...

•  Guardain – Agentic AI for Sensitive Data Analysis and Management Platform Business Plan 2026
•  FinTurk-LLM: Turkish Financial Large Language Model and Multimodal Capability Development 2026
• Understanding Customer Satisfaction Levels in Call Center Conversations Through Data Programming 2024
• Glosa Auto NLP, TUBITAK R&D Funding Program. 2021

• Intelligent process management software with decision support mechanism for human resources recruitment processes, TUBITAK R&D Funding Program. Project ID 7201174, 2021
• Financial Intelligence and Analytics System, TUBITAK R\&D Funding Program. Project ID 3210215, 2021

• Artificial intelligence models for early detection of opioid-related death outbreaks.  Statistics Canada and Ryerson University Collaborative Project
• Toronto Stock Exchange Project, Ryerson University, Canada, 2018
• Algorithmic research methodologies for the Turkish Twittersphere, 2015
• MEDBIK: Text Mining for Public Understanding of Science in Turkey  (TUBITAK 1001 Funded Project ) 2014-2016
• Academic Consultancy Intelligent System for Cash Management, TUBITAK funded project, Biz Cozum Bilgisayar ve Entegrasyon A.S, 2015
• Academic Consultancy Applying Machine Learning to Human Resources, TUBITAK funded project, 2015

RESEARCH INTEREST

Agentic AI, Large Language Models, Deep Learning, Natural Language Processing, Data Science,  Free Software and Open Source,
https://openanalitik.wordpress.com/

PUBLICATIONS and CONFERENCES

Last 8 years...

• TR-MMLU Benchmark for Large Language Models: Performance Evaluation, Challenges, and Opportunities for Improvement, 2025 33rd Signal Processing and Communications Applications Conference (SIU), Sile, Istanbul, Turkiye, 2025, pp. 1-4, doi: 10.1109/SIU66497.2025.11112154.
• Tokenization Standards and Evaluation in Natural Language Processing: A Comparative Analysis of Large Language Models on Turkish, 2025 33rd Signal Processing and Communications Applications Conference (SIU), Sile, Istanbul, Turkiye, 2025, pp. 1-4, doi: 10.1109/SIU66497.2025.11112220.
• Understanding Customer Satisfaction Levels in Call Center Conversations Through Data Programming. In: Arai, K. (eds) Intelligent Computing. CompCom 2025. Lecture Notes in Networks and Systems, vol 1425. Springer, Cham. 
• Evaluation of Local Explainability Methods in Turkish Text Classification Tasks. In: Arai, K. (eds) Intelligent Computing. CompCom 2025. Lecture Notes in Networks and Systems, vol 1423. Springer, Cham.
• Anaphora Resolution in Software Requirements Engineering: A Comparison of Generative NLP Pipelines and Encoder-Based Models," 2024 34th International Conference on Collaborative Advances in Software and COmputiNg (CASCON), Toronto, ON, Canada, 2024, pp. 1-6, doi: 10.1109/CASCON62161.2024.10837905.
• Anaphoric Ambiguity Resolution in Software Requirement Texts, 2023 IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 4722-4730, doi: 10.1109/BigData59044.2023.10386192.
• Sequence Labeling for Disambiguating Medical Abbreviations. J Healthc Inform Res 7, 501–526 (2023). https://doi.org/10.1007/s41666...
• Few-shot Learning Approaches to Software Requirement Quality Prediction. In Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering (CASCON '23). IBM Corp., USA, 155–160.
• Few shot learning approaches to essay scoring. Proceedings of the Canadian Conference on Artificial Intelligence. 2023. 10.21428/594757db.8702fa2f. 
• Leveraging the power of Natural Language Processing for Financial Intelligence System, 2022 3rd International Informatics and Software Engineering Conference (IISEC), Ankara, Turkey, 2022, pp. 1-4, doi: 10.1109/IISEC56263.2022.9998106.
• Building A Non-Personalized Recommender System by Learning Product and Basket Representation. 2020 IEEE International Conference on Big Data (Big Data). IEEE Xplore: 19 March 2021. DOI: 10.1109/BigData50022.2020.9377963
• Comparing Deep Neural Networks to Traditional Models for Sentiment Analysis in Turkish Language. Algorithms for Intelligent Systems. p 311-319. 2020. doi.org/10.1007/978-981-15-1216-2\_12
•  Improving word embeddings projection for Turkish hypernym extraction. Turkish Journal of Electrical Engineering and Computer Sciences. 4418- 4428, Vol 27, 2019, doi:10.3906/elk-1903-65
• News Coverage of the Gulf Crisis in the Turkish Mediascape. International Journal of Communication, 1340–1367, Vol 13, 2019
• A Comparison of Different Approaches to Document Representation in Turkish Language, SDU Journal of Natural and Applied Science, Vol 22, Issue 2, 2018
•  A comparative analysis of text classification for Turkish language, Pamukkale University Journal of Engineering Science Volume 25 Issue 5, 2018 
• Learning Turkish Hypernymy Using Word Embeddings, IJCIS , Atlantis Press, Vol.11 Issue-1, Pages 371-383, 2018
• Listening to the organization: change evaluation with discourse analysis, Journal of Organizational Change Management, Emerald Publishing Limited, 2018,
•  A cascaded framework for identification and extraction of antonym for Turkish language, Journal of Soft Computing, Springer, 2018 
• The Refugee Crisis in the Croatian Digital News: Towards a Computational Political Economy of Communication,  The Political Economy of Communication, 2018, Vol 6 , no 1 
•  Turkish synonym identification from multiple resources: monolingual corpus, mono/bilingual on-line dictionaries and WordNet. Turkish Journal of Electrical Engineering and Computer Science, 2016.
• A Study on Turkish Meronym Extraction Using a Variety of Lexico-Syntactic Patterns. Challenges for Computer Science and Linguistics, LTC-13. Lecture Notes in Computer Science, vol 9561. Springer, 2016
• Acquisition of Turkish meronym based on classification of patterns,  Journal of  Pattern Analysis and Applications, Volume 19, Issue 2, Springer, 2015
• An Unsupervised Text Normalization Architecture for Turkish Language, Special Issue :Advances in Computational Linguistics, Research in Computing Science, p183–194, 2015 
• A Knowledge-poor Approach to Turkish Text Categorization with a Comparative Analysis, Proceedings of CICLING 2014, Springer LNCS, Nepal, 2014.
• Corpus-Driven Hyponym Acquisition for Turkish, CICLing 2012, Springer LNCS, New Delhi, India.
• Extraction of Part-Whole Relations from Turkish Corpora, Proceedings of CICLING 2013, Springer LNCS, pages 126-138, Samos, Greece, 2013
• Learning-based pronoun resolution for Turkish with a comparative evaluation, Computer Speech and Language,  Volume 23 , Issue 3. Academic Press Ltd 2009
• Pronoun Resolution in Turkish Using Decision Tree and Rule-Based Learning Algorithms, Lecture Notes in Computer Science, Vol. 5603, Springer, 2009.

• Visiting Professor, Ryerson University, Toronto, Canada
•  Post-Doc, Eberhard Karls Universität, Tübingen, Germany
• PhD, Trakya University Computer Engineering
• MSc, ITU Information Technologies
• BA,  ITU Computer Engineering 

• Agentic AI
• Large Language Models
• Natural Language Processing with Python
• Deep Learning
• Machine Learning