I am currently a lecturer and a postdoctoral associate at the Operations Research and Statistics Group at Sloan School of Management. This semester I am teaching the course Statistical thinking and data analysis at the Sloan School of Management.
Being excited about decision-making problems in complex operational environments, I spent the past three years as a postdoctoral associate in operations research at MIT.
Logistics and supply chain management: flexibility in manufacturing and inventory planning.
Revenue management and business analytics.
Dynamic optimization in uncertainty.
Machine learning: data mining for predictive modeling.
(More information here.)
- On the Performance of Affine Policies for Two-Stage Adaptive Optimization: a Geometric Perspective, with D. Bertsimas, Mathematical Programming, Series A, 2014, to appear. Robust optimization for inventory planning
- Analyzing Process Flexibility: A Distribution Free Approach with Conditional Expectations, with D. Simchi-Levi and Y. Wei. Under revision for Operations Research, 2014. Flexibility in manufacturing
- Combining Metamodel Technique and Bayesian Selection Procedures to Drive Computationally efficient Simulation-based Optimization Algorithms, with C. Osorio. Winter Simulation Conference, 2012.
Simulation for traffic management
- Optimal Flexibility Designs: Adaptive Optimization Approach, with D. Bertsimas. Working paper, 2014.
Flexibility in manufacturing
- Pareto Efficiency in Affine Adaptive Optimization, with D. Bertsimas. Working paper, 2014.
Dynamic robust optimization
- Understanding Process Flexibility in Supply Chain Networks with Disruption, with S. Amin. Working paper, 2014. Flexibility in manufacturing under risk of disruption
- Detecting Crime Series with a Mathematical Programming Approach to Clustering, with C. Rudin and Cambridge Police Department. Working paper, 2013. Crime data mining
Optimal Flexibility Designs: Adaptive Optimization Approach
Process and operational flexibility has been widely applied in many industries as a competitive strategy to improve responsiveness to demand uncertainty. This talk addresses the problem of managing process and operational flexibility in a fairly general manufacturing system. (This is a joint work with D. Bertsimas)
Selected Teaching Experience
(More information here.)
- Instructor for Statistical thinking and data analysis. Fall 2014, MIT.
Textbook: Data Mining for Business Intelligence, 2nd ed.
In this course, we teach data-driven thinking, problem solving, and decision making. We teach analytics methods using the statistical software R.
- Guest lecturer for Reliability on supply chain networks and optimization methods for operations management. Fall 2013, MIT. (For MBA and graduate students)
Advising eight undergraduate students at MIT, 2007 – 2010. (I won Roger family prizes at MIT for the best mentorship)
Dr. Hoda Bidkhori
MIT Sloan School of Management
Cambridge, MA 02139