APPOINTMENTS
University of Denver - Daniels College of Business
Visiting Assistant Professor of Business Information and Analytics, September 2024 - Present
Boston University - Questrom School of Business
Clinical Assistant Professor, July 2022 - June 2024
Shenandoah University – School of Business
Assistant Professor of Quantitative Methods and Supply Chain Management, August 2018 - June 2022
Rensselaer Polytechnic Institute – Department of Industrial and Systems Engineering (ISE)
Graduate Assistant
University of Arkansas – Department of Industrial Engineering
Graduate Assistant
EDUCATION
Rensselaer Polytechnic Institute
Doctor of Philosophy – Industrial and Systems Engineering, August 2018
• Thesis Title: Interdicting Layered Networks: Reformulations, Algorithms and Applications
University of Arkansas
Master of Science – Industrial Engineering, May 2014
• Thesis Title: Robust Network Interdiction with Invisible Interdiction Assets
RESEARCH INTERESTS
Approaches:
Large-scale Optimization,
Machine Learning,
Causal Inference.
Applications:
Modeling and Disrupting Illegal Networks,
Sustainable Supply Chains: Closed-loop Supply Chain Design and Analysis,
Digital Transformation in Operations and Supply Chain Management,
Supply Chain Visibility,
Nonprofit Sector and Data Analytics.
RESEARCH ACTIVITY AND PUBLICATIONS
Accepted 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, 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 (formerly named “IIE 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 (formerly named “IIE 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.
HONORS AND AWARDS
Best Paper Award in the Land/Maritime Borders and Critical Infrastructure Protection Track, IEEE HST Conference, October 2018.
Graduate Student Research Award, ISE Department at RPI, 2018
The Founders Award of Excellence, Rensselaer Polytechnic Institute, 2017
Outstanding Contributions to Education Award, ISE Department at RPI, 2017
TEACHING EXPERIENCE AND INTERESTS
Experience:
QST BA 222 Modeling Business Decisions and Market Outcomes with Spreadsheets and Statistical Programming (Fall 2023, Spring 2024)
QST QM 323 Analytics (Fall 2022, Spring 2023)
QST BA 472 Business Experiments and Causal Methods (Fall 2022)
QST QM 880 Business Analytics - Spreadsheet Optimization and Simulation (Summer 2022)
QM 523 Analytics Capstone (Summer 2022)
QM 522 Prescriptive Analytics (Summer 2022)
QM 521 Predictive Analytics (Spring 2022)
QM 520 Descriptive Analytics (Spring 2022)
SCM 530 Operations and Supply Chain Management (Spring 2022)
BA 203 Data Analysis and Statistics for Business (Fall 2018 – Fall 2021)
BA 302 Quantitative Methods (Fall 2018 – Fall 2021)
Interests:
Business Analytics,
Machine Learning,
Business Statistics,
Operations Management,
Supply Chain Management.
TECHNICAL SKILLS
Computer Programming: Python, R, C++, Microsoft Excel.
CONFERENCE PRESENTATIONS
N. O. Baycik (2023). "Evaluating the iimpact of Increased supply chain visibility: A quantitative approach," 2023 DSI Annual Conference, Nov 18th-20th, Atlanta, GA (contributed)
N. O. Baycik, S. Gowda (2023), "Reinventing operations and supply chains through digital transformation," 2023 POMS Conference, May 21st-25th, Orlando, FL (contributed)
N. O. Baycik, K.M. Sullivan (2020), “Robust location of hidden interdictions on a shortest path network,” 2020 INFORMS Annual Meeting, Nov 8th-13th, Virtual (invited)
N. O. Baycik, T. C. Sharkey (2019). “Analyzing the damage on interdependent critical infrastructures given the outage reports from the customers,” 2019 INFORMS Annual Meeting, Oct 19th-23rd, Seattle, WA (invited)
N. O. Baycik, T. C. Sharkey, C.E. Rainwater (2019). “Interdicting layered physical and information flow networks” 2019 INFORMS Annual Meeting, Oct 19th-23rd, Seattle, WA (invited)
N. O. Baycik, K.M. Sullivan (2018), “Robust location of hidden interdictions on a shortest path network,” 2018 INFORMS Annual Meeting, Nov 4th-7th, Phoenix, AZ (invited)
N. O. Baycik, T. C. Sharkey, C.E. Rainwater (2018). “Interdicting layered physical and information flow networks” 2018 INFORMS Annual Meeting, Nov 4th-7th, Phoenix, AZ (invited)
N. O. Baycik, T. C. Sharkey (2017). “Analyzing the damage on interdependent critical infrastructures given the outage reports from the customers,” 2017 INFORMS Annual Meeting, Oct 22nd-25th, Houston, TX. (invited)
N. O. Baycik, K.M. Sullivan (2017), “Robust location of hidden interdictions on a shortest path network,” 2017 INFORMS Annual Meeting, Oct 22nd-25th, Houston, TX. (invited)
N. O. Baycik, T. C. Sharkey, C.E. Rainwater (2017). “A Markov Decision Process Model for Balancing Surveillance and Arrests in Law Enforcement Efforts against Illegal Drug Trafficking,” The Industrial and Systems Engineering Research Conference, May 20th-23rd, Pittsburgh, PA. (invited)
N. O. Baycik, T. C. Sharkey, C.E. Rainwater (2016). “Novel Bilevel Programming Approaches for Interdicting Multi-Tiered Illegal Supply Chains,” 2016 INFORMS Annual Meeting, Nov 13th-16th, Nashville, TN. (invited)
N. O. Baycik, T. C. Sharkey, C.E. Rainwater (2016). “Novel Bilevel Programming Approaches for Interdicting Multi-Tiered Illegal Supply Chains,” The Industrial and Systems Engineering Research Conference, May 21st-24th, Anaheim, CA. (invited)
N. O. Baycik, T. C. Sharkey, C.E. Rainwater (2016). “Novel Bilevel Programming Approaches for Interdicting Multi-Tiered Illegal Supply Chains,” Graduate Research Symposium at Rensselaer Polytechnic Institute, May 14th, Troy, NY. (contributed)
N. O. Baycik, T. C. Sharkey, C.E. Rainwater (2016). “Novel Bilevel Programming Approaches for Interdicting Multi-Tiered Illegal Supply Chains,” The Command, Control and Interoperability Center for Advanced Data (CCICADA) Retreat, April 28th-30th, Piscataway, NJ. (contributed)
N. O. Baycik, T. C. Sharkey, C.E. Rainwater (2015). “Novel Bilevel Programming Approaches for Interdicting Multi-Tiered Illegal Supply Chains,” 2015 INFORMS Annual Meeting, Nov 1st-4th, Philadelphia, PA. (invited)
N. O. Baycik, K.M. Sullivan (2014), “Robust Network Interdiction with Invisible Interdiction Assets,” The Industrial and Systems Engineering Research Conference, May 31st - June 3rd, Montreal, Canada. (invited)
N. O. Baycik, K.M. Sullivan (2013), “Robust Network Interdiction with Invisible Interdiction Assets,” 2013 INFORMS Annual Meeting, Oct 6th - 9th, Minneapolis, MN. (invited)
CERTIFICATES
Introduction to Research Ethics (University of Arkansas-Graduate School)
Authorship and Publication Issues (University of Arkansas-Graduate School)
Research Misconduct: Policies & Consequences (University of Arkansas-Graduate School)
Distance Education Training Certificate (Shenandoah University – 2020)
PROFESSIONAL MEMBERSHIPS
Institute for Operations Research and Management Science (INFORMS) 2013 - present
Institute of Industrial and Systems Engineers (IISE) 2013 - present
POMS 2022 - present
DSI 2023 - present
SERVICE
• Journal Referee for:
INFORMS Journal on Computing,
IISE Transactions,
European Journal of Operational Research,
Networks,
Journal of Global Optimization,
Computers & Operations Research,
Omega,
Computers & Industrial Engineering,
IEEE Transactions on Intelligent,
Transportation Systems,
Journal of Applied Sciences.
NSF Grant Proposal Reviewer (2021).
Developing of Business Analytics Graduate Certificate in the School of Business at SU (2020 - 2022).
Admissions Faculty Review Committee Member at SU (2021 - 2022).
Academic Integrity Hearing Committee Member at SU (2021 - 2022).
Transformative Teaching and Learning Advisory Board Member at SU (2021 - 2022).
International Programs Faculty Advisory Committee Member at SU (2021 - 2022).