Mikhail Nediak

Dr. Mikhail Nediak is an Associate Professor at the Smith School of Business, Queen's University. He holds a PhD in Operations Research from Rutgers University and dual MSc degrees in Computer Science and Applied Mathematics. His research focuses on complex Management Science and Operations Research problems with computational components, including revenue management, dynamic pricing, and data-driven optimization. He serves as Associate Dean for Research at the Moscow School of Management SKOLKOVO and holds the Scotiabank Scholar title at Queen's.

Education:

• PhD in Operations Research, Rutgers University (2002)
• MSc in Computer Science, Rutgers University (2002)
• MSc in Applied Mathematics, Moscow Institute of Physics and Technology (1997)
• BSc in Natural Sciences, Moscow Institute of Physics and Technology (1997)

Research Interests: Dr. Nediak explores data analytics, signal processing, and optimization algorithms applied to revenue management and strategic consumer behavior. His work integrates techniques like integer programming, control theory, and stochastic simulation to address real-world business challenges. Recent studies examine dynamic pricing under social influence, resale price maintenance, and indirect lending risk pricing.

Key Contributions: His articles highlight advancements in scalable bid pricing, strategic consumer cooperation, and discriminatory pricing models. These contributions bridge theoretical optimization frameworks with practical business applications.

Awards & Positions:

• Scotiabank Scholar, Scotiabank Centre for Customer Analytics
• Associate Director of Research, Smith School of Business

Advising & Leadership: Currently supervising academic work across doctoral and master's programs, with a focus on mentoring students in Operations Research and Analytics. His leadership in research administration at Queen's and SKOLKOVO reflects his commitment to advancing academic rigor and industry collaboration.