Suzan Arslanturk (gl9815)
University information
Title: Associate Professor
Unit: Computer Science
Department: College of Engineering
Contact information
College of Engineering
Phone:
313-577-6782
Email:
suzan.arslanturk@wayne.edu
Title:
Associate Professor, Computer Science and Industrial and Systems Engineering
Address:
5057 Woodward Ave, Detroit, MI 48202
Room:
14200.10
Homepage URL:
http://suzanars.eng.wayne.edu
Google Scholar URL:
https://scholar.google.com/citations?user=08yfzbMAAAAJ&hl=en
Biography:
Suzan Arslanturk is a former assistant professor at Ozyegin University in Istanbul, Turkey. She also worked as a research scientist for a healthcare consulting company in Michigan while completing her Ph.D. at Oakland University in 2015. From 2011 to 2014 she was a research scholar at the OU Biomedical Engineering Lab. Her research interests are in the area of data mining and predictive modeling with applications in healthcare.
Publications
Journal Papers
- T. Khaleghi, A. Murat, S. Arslanturk and E. Davies, "Automated Surgical Term Clustering: A text mining approach for unstructured textual surgery descriptions," in IEEE Journal of Biomedical and Health Informatics, 2019, doi: 10.1109/JBHI.2019.2956973. PDF
- Gatti, D.L., Arslanturk, S., Lal, S., Jena, B.P. (2019) Deep learning strategies for differential expansion microscopy. bioRxiv 743682; doi: https://doi.org/10.1101/743682. PDF
- Pernal, S.P., Liyanaarachchi, A., Gatti, D.L., Formosa, B., Pulvender, R., Kuhn, E.R., Ramos, R., Naik, A.R., George, K., Arslanturk, S., Taatjes, D.J., Jena, B.P. (2019) Differential expansion microscopy. bioRxiv 699579; doi: https://doi.org/10.1101/699579. PDF
- Jena, B. P., Gatti, D. L., Arslanturk, S., Pernal, S., Taatjes, D. J. Human Skeletal Muscle Cell Atlas. Unraveling Cellular Secrets Utilizing ‘Muscle-on-a-Chip’, Differential Expansion Microscopy, Mass Spectrometry, Nanothermometry and Machine Learning, Micron February 2019. PDF
- S. Arslanturk, M.-R. Siadat, T. Ogunyemi. K. Killinger, A. Diokno, ‘Analysis of Incomplete and Inconsistent Clinical Survey Data’, Knowledge and Information Systems, March 2016, Volume 46, Issue 3, pp 731–750. PDF
- A. C. Diokno, T. Ogunyemi, M.-R. Siadat, S. Arslanturk, K.A. Killinger, “Continence Index: A new screening questionnaire to predict the probability of future incontinence in older women in the community”, International Urology and Nephrology, 2015 Jul; 47(7), pp. 1091-7. PDF
- S. Arslanturk, M.-R. Siadat, T. Ogunyemi, B. Givens, A.Diokno, ‘Stratification of Clinical Survey Data by Using Contingency Tables’, International Journal of Data Mining and Knowledge Management Process (IJDKP), July 2014, 4(4), pp. 1-15. PDF
- G. Corser, S. Arslanturk, J. Oluoch, H. Fu, 'Knowing the Enemy at the Gates: ‘Measuring Attacker Motivation’, International Journal of Interdisciplinary Telecommunications and Networking (IJITN), 2013., 5(2), pp. 1-13.
- T. O. Ogunyemi, M.-R. Siadat, S. Arslanturk, K. A. Killinger, A. C. Diokno, ‘Novel Application of Statistical Methods to Identify New Urinary Incontinence Risk Factors’, Advances in Urology, 2012, Article ID 276501, pp. 1-8. PDF
Conference Papers
- S. Arslanturk, S. Draghici, T. Nguyen, Integrated Cancer Subtyping using Heterogeneous Genome-Scale Molecular Datasets, Pacific Symposium on Biocomputing (PSB) 2020. PDF
- S. Arslanturk, M-R. Siadat, T. Ogunyemi, K. Killinger, A. Diokno, Effect of Missing Data Imputation on Prediction of Urinary Incontinence, 2019 IEEE International Conference on Data Mining Workshops (ICDMW). PDF
- Etu, E.E., Aguwa, C., Monplaisir, L., Arslanturk, S. “A Benchmarking Analysis to Improve Healthcare Service Delivery using DEA”. 2019 Annual Institute of Industrial & Systems Engineering Conference. PDF
- S. Arslanturk, S. Draghici, Disease Subtyping Using Somatic Variant Data, ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, 2018
- T. Ogunyemi, S. Arslanturk, M.-R. Siadat, K. Killinger, A. Diokno, ‘Bayesian Prediction of Incontinence among Older Women Using an Experimental Design Template’, International Conference on Information Science & Applications (ICISA 2014), Seoul, Korea.
- S. Arslanturk, M.-R. Siadat, T. Ogunyemi, K. Demirovic, A. Diokno, ‘Skip Pattern Analysis of the MESA Data for Stratification’, 2012 5th International Conference on Biomedical Engineering and Informatics (BMEI 2012), Chongqing, China.
- S. Arslanturk, M.-R. Siadat, T. Ogunyemi, K. Demirovic, A. Diokno, ‘Skip Pattern Analysis for Detection of Undetermined and Inconsistent Data’, 2012 5th International Conference on Biomedical Engineering and Informatics (BMEI 2012), Chongqing, China.
- S. Arslanturk, M.-R. Siadat, T. Ogunyemi, K. Demirovic, A. Diokno, ‘Skip pattern analysis for stratification and detection of undetermined and inconsistent data’, 2012 5th International Conference on Biomedical Engineering and Informatics (BMEI 2012), Chongqing, China.
- S. Arslanturk, M.- R. Siadat, T. Ogunyemi, I. Sethi, A. Diokno, 'Comparison of Feature Selection Techniques Using Fully Controlled Simulation Based Datasets', ICIME 2nd International Conference on Information Management and Evaluation, Toronto, Canada, 2011.
Education:
Ph.D. 2015, Oakland University (Computer Science and Informatics)
M.S. 2011, Oakland University (Computer Science)
B.S 2008, Baskent University (Computer Engineering)
Research Interests:
- Medical Informatics and Analytics
- Machine Learning and Pattern Recognition
- Descriptive and Predictive Modeling
- Probabilistic Graphical Models
Courses taught by Suzan Arslanturk
Winter Term 2025 (current)
- CSC5800 - Intelligent Systems: Algorithms and Tools
- CSC7810 - Data Mining: Algorithms and Applications
Fall Term 2024
Winter Term 2024
- CSC5800 - Intelligent Systems: Algorithms and Tools
- CSC7810 - Data Mining: Algorithms and Applications