Eyyub Kibis

Biography

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.

Education

• BS, Bogazici University
• MA, University of Houston
• MS, University of Houston
• PhD, Wichita State University

Publications

• Journal Article: I. Buyuktahtakin, E. Kibis, H. Cobuloglu, G. Houseman, T. Lampe (2015). An age- structured bio-economic model of invasive species management: insights and strategies for optimal control. Biological Invasions
• Journal Article: I. Buyuktahtakm, E. des-Bordes, E. Kibis (2018). A new epidemics-logistics model: Insights into controlling the Ebola virus disease in West Africa. European Journal of Operational Research
• Journal Article: E. Kibis, I. Buyuktahtakin (2017). Optimizing invasive species management: A mixed-integer linear programming approach. European Journal of Operational Research
• Conference Proceedings: E. Kibis, E. Buyuktahtakin (2017). Data analytics approaches for breast cancer survivability: Comparison of data mining methods. IIE Annual Conference
• Journal Article: 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
• Journal Article: 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
• Journal Article: E. Kibis, I. Buyuktahtakin (2019). Optimizing multi-modal cancer treatment under 3D spatio-temporal tumor growth. Mathematical Biosciences
• Journal Article: 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
• Journal Article: E. Kibis, I. Buyuktahtakin, R. Haight, N. Akhundov, K. Knight, C. Flower (2020). A new multi-stage stochastic programming model and cutting planes for the optimal surveillance and control of emerald ash borer in cities. INFORMS Journal on Computing
• Journal Article: 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
• Journal Article: 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
• Journal Article: E. Kibis, M. Caglar, A. Dag, O. Cosgun, S. Simsek (). An SIR Model for controlling the novel coronavirus (2019-nCoV) outbreak: Policies and suggestions. Production and Operations Management
• Journal Article: B. Akcam, E. Kibis, Z. Akcam Kibis (2024). Analyzing the Initial Reactions to National Association of Realtors Settlement on Broker Commissions in 2024. Journal of Real Estate Practice and Education
• Journal Article: E. Kibis, O. Cosgun (). An integrated machine learning approach with mixed integer linear programming: Determining optimal chemotherapy dosage for stage II breast cancer patients. Computers and Industrial Engineering
• Journal Article: O. Cosgun, M. Rivero, B. Cankaya, E. Kibis (2024). Water Quality Index Prediction using Machine Learning and XAI techniques in San Joaquin Valley Region. International Journal of Information and Decision Sciences
• Journal Article: B. Cankaya, B. Erenay, E. Kibis, A. Glassman, D. Delen (2024). Charting the future of pilots: maximizing airline workforce efficiency through advanced analytics. Operational Research
• Journal Article: O. Cosgun, E. Kibis, B. Cankaya, A. Dag (). Strategic Resource Management in Pandemics: Integrating Capacity Planning with Non-pharmaceutical Interventions for COVID-19. Computers and Industrial Engineering
• Journal Article: S. Simsek, A. Dag, K. Coussement, E. Kibis, S. Ragothaman, A. Asilkalkan (2025). A decision support framework for misstatement identification in financial reporting: A hybrid tree-augmented Bayesian belief approach. Decision Support Systems
• Journal Article: A. Asilkalkan, A. Dag, S. Simsek, O. Aydas, E. Kibis, D. Delen (2025). Streamlining patients’ opioid prescription dosage: an explanatory bayesian model. Annals of Operations Research

Honors & Awards

• Best Graduate Research Award, Wichita State University (April 2016)
• D. W. Hodgson Outstanding Doctoral-level Student Award, Wichita State University (November 2015)
• Ollie A. & J.O. Heskett Graduate Fellowship, Wichita State University (April 2015)
• Donald D. Sbarra Endowed Fellowship, Wichita State University (November 2014)
• Harvey J. Greenberg Research Award - Honorable Mention, 2022 Annual Informs Conference - Computing Society (October 2022)
• The Best Paper Award, 2022 Annual Informs Conference - ENRE Society (October 2022)
• Poster Presentation Award - Second Place, 2022 INFORMS Business Analytics Conference (April 2022)
• 2019 INFORMS MIF Best Paper Finalist, 2019, INFORMS (November 2019)