Aynur Dayanık
Department of Computer Engineering
Bilkent University

Contact Information:

Mail	Bilkent University, Department of Computer Engineering 06800 Bilkent, Ankara, TURKEY
Office	Engineering Building, EA-426
Phone	+90 312 290 3441
Fax	+90 312 266 4047
E-mail

Education:

Ph.D., Rutgers University, New Jersey, USA.
M.S. & B.S., Bilkent University, Turkey.

Teaching:

• Current
• CS 115 Introduction to Programming in Python
• Previous
• CS 101 Algorithms and Programming I
• CS 102 Algorithms and Programming II
• CS 114 Introduction to Programming For Engineers
• CS 201 Fundamental Structures of Computer Science I
• CS 202 Fundamental Structures of Computer Science II
• CS 315 Programming Languages
• CS 461 Artificial Intelligence
• CS 464 Introduction to Machine Learning

Research Interests:

• Text mining, information retrieval, machine learning, data mining.

Publications:

• A. Dayanik. Learning feature-projection based classifiers. Expert Systems with Applications, Vol. 39, pp. 4532-4544, 2012
• A. Dayanik. Feature interval learning algorithms for classification. Knowledge-Based Systems, Vol. 23, No. 5, pp. 402-417, 2010
• A. Dayanik, D. Lewis, D. Madigan, V. Menkov, and A. Genkin. Constructing informative prior distributions from domain knowledge in text classification. In Proceedings of the 31st International ACM SIGIR conference on Research and Development in Information Retrieval, Seattle, WA, 2006
• A. Dayanik, A. Genkin, P. Kantor, D. Lewis, and D. Madigan. DIMACS at the TREC 2005 genomics track. In Proceedings of the 14th Text Retrieval Conference, Gaithersburg, MD, 2005
• A. Anghelescu, A. Dayanik, D. Fradkin, A. Genkin, P. Kantor, D. Lewis, D. Madigan, I. Muchnik, and F. Roberts. Simulated entity resolution by diverse means: DIMACS work on the KDD challenge of 2005. DIMACS Technical Report 2005-42
• A. Dayanik, D. Fradkin, A. Genkin, P. Kantor, D. Lewis, D. Madigan, and V. Menkov. DIMACS at the TREC 2004 genomics track. In Proceedings of the 13th Text Retrieval Conference, TREC-13, Gaithersburg, MD, 2004
• A. Dayanik and C. Nevill-Manning. Clustering in relational biological data. In Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields, pages 42-48, Banff, Canada, 2004
• A. Dayanik, C. Nevill--Manning, and R. Oughtred. Partitioning a graph of sequences, structures and abstracts for information retrieval. In Proceedings of the 12th Text Retrieval Conference, TREC-12, Gaithersburg, MD, 2003
• S. Macskassy, H. Hirsh, A. Banarjee, and A. Dayanik. Converting numerical classification into text classification. Artificial Intelligence, 143(1):51–77, 2003
• C.A. Kulikowski, I. Muchnik, H.J. Yun, A. Dayanik, D. Zheng, Y. Song, and G.T. Montelione. Protein structural domain parsing by consensus reasoning over multiple knowledge sources and methods. In MedInfo 2001 - 10th World Congress on Health and Medical Informatics, pages 965-969, 2001
• S. Macskassy, H. Hirsh, A. Banarjee, and A. Dayanik. Using text classifiers for numerical classification. In Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI 2001), Seattle, WA, August 2001
• S. Macskassy, A. Dayanik, and H. Hirsh. Information valets for intelligent information access. In the AAAI Spring Symposia Series on Adaptive User Interfaces (AUI 2000), 2000
• S. Macskassy, A. Dayanik, and H. Hirsh. EmailValet: Learning user preferences for wireless email. In Proceedings of IJCAI Workshops: Learning About Users and Machine Learning for Information Filtering, 1999
• S. Macskassy, H. Hirsh, and A. Dayanik. EmailValet: Learning email preferences for wireless platforms. In Proceedings of Machine Learning for User Modeling Workshop, 7^th International Conference on User Modeling, 1999
• H. Guvenir and A. Akkus. Weighted k nearest neighbor classification on feature projections. In Proceedings of the Twelfth International Symposium on Computer and Information Sciences (ISCIS XII) S. Kuru, M.U. Caglayan and H.L. Akin (Eds.), Antalya, Turkey, 44-51, 1997
• A. Akkus and H. Guvenir. K nearest neighbor classification on feature projections. In Proceedings of ICML'96, Lorenza Saitta (Ed.), Morgan Kaufmann, Bari, Italy, 12-19, 1996

Theses: 

• A. Dayanik. Using Domain Knowledge for Text Mining. Ph.D. thesis, Computer Science, Rutgers University, New Jersey, USA, May 2006
• A. Akkus. Batch Learning of Disjoint Feature Intervals. Master’s thesis, Computer Engineering and Information Science, Bilkent University, Ankara, Turkey, September 1996

Patent:

• C. Nevill--Manning, C.-M. Tan, A. Dayanik and P. Norvig. Automatic generation of rewrite rules for URLs. U.S.A. , US Patent No: 7,827,254, November 2010