Research

My research focuses on predictive and prescriptive analytics methods with applications in business and societal problem such as

• Modeling and Disrupting Illegal Supply Networks,

• Sustainable Supply Chain Design: Closed-loop Supply Chains,

• Digital Transformation in Operations and Supply Chain Management, and Supply Chain Visibility.

Journal Articles

• N. O. Baycik. A Quantitative Approach for Evaluating the Impact of Increased Supply Chain Visibility. Supply Chain Analytics, 100065, 2024. (ABDC Ranking: N/A).

• N. O. Baycik, S. Gowda. Digitalization of Operations and Supply Chains: Insights from Survey and Case Studies. Digital Transformation and Society, 3(3): 277-295, 2024. (ABDC Ranking: N/A).

• N. O. Baycik. Machine Learning Based Approaches to Solve the Maximum Flow Network Interdiction Problem. Computers & Industrial Engineering, 167, 107873, 2022 (ABDC Ranking: A).

• N. O. Baycik, T. C. Sharkey, C.E. Rainwater. A Markov Decision Process Model for Balancing Surveillance and Arrests in Law Enforcement Efforts against Illegal Drug Trafficking. Socio-Economic Planning Sciences, 100700, 2020 (ABDC Ranking: C).

• N. O. Baycik, K. M. Sullivan. Robust location of hidden interdictions on a shortest path network. IISE Transactions, 51(12):1332-1347, 2019 (ABDC Ranking: A).

• N. O. Baycik, T. C. Sharkey. Interdiction-Based Approaches to Identify Damage in Disrupted Critical Infrastructures with Dependencies. Journal of Infrastructure Systems, 25:2:04019013, 2019 (ABDC Ranking: N/A).

• N. O. Baycik, T. C. Sharkey, C.E. Rainwater. Interdicting Layered Physical and Information Flow Networks. IISE Transactions, 50(4):316-331, 2018 (ABDC Ranking: A).

Conference Papers

• A. Bahulkar, N. O. Baycik, T.C. Sharkey, Y. Shen, B.K. Szymanski, W.A. Wallace. “Integrative Analytics for Detecting and Disrupting Transnational Interdependent Criminal Smuggling, Money, and Money-Laundering Networks” Proc. 2018 IEEE International Symposium on Technologies for Homeland Security (HST’18), Woburn, MA, Oct. 23-24, 2018. The Best Paper Award in the Land/Maritime Borders and Critical Infrastructure Protection Track.

• A. Bahulkar, B. K. Szymanski, N.O. Baycik, T.C. Sharkey. “Community Detection with Edge Augmentation in Criminal Networks” Proc. IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Barcelona, Spain, Aug. 28, 2018, pp. 1168-1175.