Position:
Assistant Professor of Quantitative Methods and Supply Chain Management
Location:
HHH 133
Phone:
(540) 665-5586
Email:
nbaycik@su.edu
Educational History:
PhD in Industrial and Systems Engineering, Rensselaer Polytechnic Institute ’18; MSc in Industrial Engineering, University of Arkansas ’14
Fields of Expertise:
- Operations Research,
- Network Optimization
- Integer Programming
Professional Highlights:
Dr. Baycik earned his PhD degree in Industrial and Systems Engineering at Rensselaer Polytechnic Institute in 2018 and his MSc degree in Industrial Engineering at the University of Arkansas in 2014. Orkun’s research focuses on prescriptive analytics with applications in disrupting illegal networks, vulnerability analyses of supply chains, critical infrastructure protection, and cyber-physical system security. He is teaching BA 203 Statistics and Data Analysis and BA 302 Quantitative Methods in Fall 2018.
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