Dr. Serhat Simsek

Assistant Professor | Information Management and Business Analytics | Feliciano School of Business
Location: 484
Email: simseks@montclair.edu

Biography

Dr. Serhat Simsek is an Assistant Professor at the Feliciano School of Business at Montclair State University. Dr. Simsek earned his MS and Ph.D. in Statistics from Auburn University with a GPA of 4.00. His research has been published in prestigious journals such as OMEGA, Decision Support Systems, Journal of Business Analytics, Journal of Enterprise Information Management, and Expert Systems with Applications among others. His work in the field of machine learning has received several awards from different international and national conferences such as “Best Contribution to Theory Award”, “Best Overall Conference Paper Award”, and “Best Paper Award”. Besides, Dr. Simsek was awarded a scholarship by the Turkish Government to pursue education abroad as he was nationally ranked as the best (1st) student in the field of Mathematics.

Expertise

Statistics, Machine Learning, Business Analytics.

Education

  • Ph D, Statistics, 2019, Auburn University, Auburn, AL, USA
  • MS, Statistics, 2017, Auburn University, Auburn, AL, USA

Honors and Awards

  • Best Contribution to Theory Award , 49th Annual Northeast Decision Sciences Institute Conference. (March 2020).
  • Best Overall Conference Paper Award , 49th Annual Northeast Decision Sciences Institute Conference. (March 2020).
  • Best Paper Award , Information and Communication Technologies in Organizations and Society International Conference. (October 2019).

Refereed Published Articles

  • Simsek, S., Dag, A., Tiahrt, T., Oztekin, A. (2020). A Bayesian Belief Network-based Probabilistic Mechanism to Determine Patient No-Show Risk Categories. OMEGA,
  • Simsek, S., Gumus, M., Khalafalla, M., Issa, T. (2020). A Hybrid Data Analytics Approach for High-Performance Concrete Compressive Strength Predicton. Journal of Business Analytics,
  • Simsek, S., Kursuncu, U., Kibis, E., AnisAbdellatif, M., Dag, A. (2020). A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival. EXPERT SYSTEMS WITH APPLICATIONS, 139
  • Simsek, S., Genc, O., Albizri, A., Dinc, S., Gonen, B. (2020). Artificial Neural Network incorporated Decision Support Tool for Point Velocity Prediction. Journal of Business Analytics,
  • Simsek, S., Albizri, A., Johnson, M., Custis, T., Weikert, S. (2020). Predictive Data Analytics for Contract Renewals: A Decision Support Tool for Managerial Decision Making. Journal of Enterprise Information Management,
  • Simsek, S., Tiahrt, T., Dag, A. (2020). Stratifying no-show patients into multiple risk groups via a holistic data analytics-based framework. Decision Support Systems, 132
  • Simsek, S., Kursuncu, U., Kibis, E., AnisAbdellatif, M., Dag, A. (2020). A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival. Expert Systems with Applications, 139
  • Kursuncu, U., Simsek, S., Kibis, E., Dag, A. (2018). A Machine Learning-Based Holistic Approach to Predict the Survival of Breast Cancer Patients. International Journal of Electrical, Electronics and Data Communication,

Published Proceedings

  • Simsek, S., Bayraktar, E., Ragothaman, S., Dag, A. (2018). A Bayesian Approach to Detect the Firms with Material Weaknesses in Internal Control. : Industrial and Systems Engineering Conference. Refereed