announcement
introduction/brief CV
Kamal Basulaiman is an assistant professor in the department of Industrial Engineering at King Saud University. He received his Ph.D. in Industrial Engineering - Operations Research from University of Pittsburgh in 2024. His research revolves around reconciling AI with Operations Research and Game Theory to achieve what deemed impossible by each field independently. His contributions span a wide range of applications in supply chain, logistics, revenue management, modeling consumer behavior, finance, healthcare, renewable energy, and multi-agent sequential stochastic decision-making.
areas of expertise
Areas of Expertise:
- Mathematical Modeling
- Static Optimization: Deterministic/Stochastic Optimization and Continuous/Discrete Optimization
- Sequential Optimization: Model Predictive Control, Markov Decision Process, Approximate Dynamic Programming
- Artificial Intelligence: Data Science, Machine Learning, Deep Learning, Deep Reinforcement Learning, NLP, RAG, LLM
- Game Theory: Algorithmic Game Theory & Mechanism Design, Multi-Agent Reinforcement Learning, Evolutionary and Behavioral Game Theory.
Professional Experience:
- Discrete Choice Modeling & Analysis Workshop at MIT, 2018.
- Research Scientist at University of Pittsburgh, 2020.
- PhD Data Scientist at Tenaska Power Services, 2021.
- PhD Data Scientist at Oracle, 2022.
publications
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Abstract: Defining material costs under manufacturing costs and explaining how to estimate such expenses following the methods of industrial cost accounting.
courses
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Text Book: Operations Management, by J. Heizer and B. Render, 10th Ed., Prentice Hall Course Outlines: * Aggregate Planning (Ch…
Text Book: Operations Management, by J. Heizer and B. Render, 10th Ed., Prentice Hall Course Outlines: *…