Profile Pages
Photo of University Hall

View Profile Page

Faculty/Staff Login:

Photo of Serhat Simsek

Serhat Simsek

Associate Professor, Information Management and Business Analytics, Feliciano School of Business

Email:
simseks@montclair.edu
Degrees:
BS, Adnan Menderes University (Turkey)
MS, Auburn University
PhD, Auburn University
vCard:
Download vCard

Links

Montclair State does not endorse the views or opinions expressed in a faculty member's webpage or website. Consistent with the principles of academic freedom, the content provided is that of the author and does not express the opinions or views of Montclair State University.

Honors & Awards

  • Best Contribution to Theory Award, 49th Annual Northeast Decision Sciences Institute Conference (March 2020)
  • Graduate Student Assistantship, Auburn University (August 2016)
  • International Graduate Education Scholarship, Republic of Turkey Ministry of National Education (November 2014)
  • Graduate School Research Fellowship Award, Auburn University (July 2018)
  • Best Paper Award, Information and Communication Technologies in Organizations and Society International Conference (October 2019)
  • Best Overall Conference Paper Award, 49th Annual Northeast Decision Sciences Institute Conference (March 2020)
  • Finalist, Best Paper Award in Data Mining, INFORMS (November 2020)
  • Best Application of Theory Award, 50th Annual Northeast Decision Sciences Institute Conference (March 2021)
  • Nationwide Decision Sciences Institute Best Paper Award (within the regional best paper award category) , DSI (November 2020)
  • Separately Budgeted Research Award, Montclair State University (June 2022)
  • Runner-Up (2nd Place) for the Nation-wide Best Paper Award, Decision Sciences Institute (May 2021)

Refereed Published Articles

  • S. Simsek, U. Kursuncu, E. Kibis, A. Dag (2018). A Machine Learning-Based Holistic Approach to Predict the Survival of Breast Cancer Patients. International Journal of Electrical, Electronics and Data Communication
  • S. Simsek, U. Kursuncu, E. Kibis, M. AnisAbdellatif, A. Dag (2020). A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival. Expert Systems with Applications
  • S. Simsek, O. Genc, A. Albizri, S. Dinc, B. Gonen (2020). Artificial Neural Network incorporated Decision Support Tool for Point Velocity Prediction . Journal of Business Analytics
  • S. Simsek, T. Tiahrt, A. Dag (2020). Stratifying no-show patients into multiple risk groups via a holistic data analytics-based framework. Decision Support Systems
  • M. Barros, J. Leitao, T. Aranha, S. Simsek, R. Buley, E. Fernandez-Figueroa, M. Gladfelter, A. Wilson, J. Capelo-Neto (2020). Index classification of drinking water reservoirs for identifying vulnerability to cyanoHABs in water treatment plants. Water Supply
  • S. Simsek, M. Gumus, M. Khalafalla, T. Issa (2020). A Hybrid Data Analytics Approach for High-Performance Concrete Compressive Strength Predicton. Journal of Business Analytics
  • M. Johnson, A. Albizri, S. Simsek (2022). Artificial Intelligence in Healthcare Operations to Enhance Treatment Outcomes: A Framework to Predict Lung Cancer Prognosis for Tailoring of Treatment Strategies. Annals of Operations Research
  • A. Celebi, C. Randy, M. Stoll, S. Simsek, B. Kinard, P. Waite, J. Wang, V. Vo, L. Tran, H. Cau (2022). Comparison of the condyle-fossa relationship and resorption between patients with and without Juvenile Idiopathic Arthritis (JIA). Journal of Oral and Maxillofacial Surgery
  • M. Nasir, S. Simsek, C. Erin, . Ragothaman, A. Dag (2021). Developing a decision support system to detect material weaknesses in internal control. Decision Support Systems
  • S. Simsek, A. Albizri, M. Johnson, T. Custis, S. Weikert (2021). Predictive Data Analytics for Contract Renewals: A Decision Support Tool for Managerial Decision Making. Journal of Enterprise Information Management
  • S. Simsek, A. Dag, T. Tiahrt, A. Oztekin (2021). A Bayesian Belief Network-based Probabilistic Mechanism to Determine Patient No-Show Risk Categories. OMEGA
  • A. Dag, M. Johnson, E. Kibis, S. Simsek, B. Cankaya, D. Delen (2023). A machine learning decision support system for determining the primary factors impacting cancer survival and their temporal effect. Healthcare Analytics
  • A. Asilkalkan, A. Dag, S. Simsek, O. Aydas, E. Kibis, D. Delen (2023). Streamlining patients’ opioid prescription dosage: an explanatory bayesian model. Annals of Operations Research
  • A. Dag, A. Dag, A. Asilkalkan, S. Simsek, D. Delen (2023). A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends. Journal of Business Research
  • A. Dag, Z. Akcam, E. Kibis, S. Simsek, D. Delen (2022). A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival. Knowledge-Based Systems
  • H. Dolatsara, E. Kibis, M. Caglar, S. Simsek, A. Dag, G. Dolatsara, D. Delen (2022). An Interpretable Decision-Support Systems for Daily Cryptocurrency Trading. Expert Systems with Applications
  • M. Nasir, A. Dag, S. Simsek, A. Oztekin (2022). Improving Imbalanced Machine Learning with Neighborhood-Informed Synthetic Sample Placement. Journal of Management and Information Systems

Published Proceedings

  • S. Simsek, E. Bayraktar, S. Ragothaman, A. Dag (5s). 2018. A Bayesian Approach to Detect the Firms with Material Weaknesses in Internal Control Industrial and Systems Engineering Conference
  • M. Nasir, N. Summerfield, S. Simsek, A. Oztekin (5s). 2021. Simple Interaction Finding Technique (SIFT)–A Simple Methodology to Generate Novel Hypotheses from Complex Datasets NEAIS