Research output per year
Research output per year
Personal profile
University profile
Dr. Eyyub Kibis is an Assistant Professor at the Feliciano School of Business in the Information Management and Business Analytics (IMBA) department. Prior to teaching at Montclair State, he was an Assistant Professor of Business Analytics at the College of Saint Rose in Albany, NY. He is a member of several professional organizations including the Industrial Engineering Honor Society, Alpha Phi Mu, INFORMS, Production and Operations Management (POM), and Decision Sciences Institute (DSI). He is currently the co-chair of the INFORMS Workshop on Data Mining and Decision Analysis.
Research interests
mathematical programming models, large-scale optimization approaches and data mining methods for biological diseases and cancer
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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A machine learning decision support system for determining the primary factors impacting cancer survival and their temporal effect
Dag, A. Z., Johnson, M., Kibis, E., Simsek, S., Cankaya, B. & Delen, D., Dec 2023, In: Healthcare Analytics. 4, 100263.Research output: Contribution to journal › Article › peer-review
Open Access -
Streamlining patients’ opioid prescription dosage: an explanatory bayesian model
Asilkalkan, A., Dag, A. Z., Simsek, S., Aydas, O. T., Kibis, E. Y. & Delen, D., 2023, (Accepted/In press) In: Annals of Operations Research.Research output: Contribution to journal › Article › peer-review
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An interpretable decision-support systems for daily cryptocurrency trading
Dolatsara, H. A., Kibis, E., Caglar, M., Simsek, S., Dag, A., Dolatsara, G. A. & Delen, D., Oct 1 2022, In: Expert Systems With Applications. 203, 117409.Research output: Contribution to journal › Article › peer-review
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A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival
Dag, A. Z., Akcam, Z., Kibis, E., Simsek, S. & Delen, D., Apr 22 2022, In: Knowledge-Based Systems. 242, 108407.Montclair State University, Stevens Institute of Technology
Research output: Contribution to journal › Article › peer-review
Open Access -
A multistage stochastic programming approach to the optimal surveillance and control of the emerald ash borer in cities
Kıbış, E. Y., Büyüktahtakın, I. E., Haight, R. G., Akhundov, N., Knight, K. & Flower, C. E., Mar 2021, In: INFORMS Journal on Computing. 33, 2, p. 808-834 27 p.Montclair State University, New Jersey Institute of Technology
Research output: Contribution to journal › Article › peer-review