I am a Postdoc in Operations Research at MIT where I am collaborating

with The Accenture and MIT Alliance in Business Analytics. I also received

my  Ph.D from MIT.







Research Interests: Decision making under uncertain and data-rich environments.

Modeling uncertainty using data mining and designing tractable solutions by various optimization methods.


Applications:  

Logistics and Supply chain management, Flexibility in manufacturing.

Crime data mining and business analytics.                                                 

Sustainable operations.

Methodology:

Robust and stochastic optimization, mixed integer programming.        

Machine learning: data mining for predictive modeling. Ranking and clustering.   

Stochastic simulation. Network science.




Selected Publications:



On the Performance of Affine Policies for Two-Stage Adaptive Optimization: A Geometric Perspective, with Dimitris Bertsimas (2013). Mathematical Programming, revised and resubmitted.

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Data



Analyzing Process Flexibility: A Distribution Free Approach with Conditional Expectations, with David Simchi-Levi and Yehua Wei (2013). To be submitted to Operations Research.   (complete paper available upon request)


Combining Metamodel Technique and Bayesian Section Procedures to Drive Computationally efficient Simulation-based Optimization Algorithms, with Carolina Osorio (2012). Winter Simulation Conference, 2012.   



Advising and Teaching Experiences:


Guest lecturer at Massachusetts Institute of Technology: Reliability on Supply Chain Networks and Optimization Methods for Operations Management. Fall 2013. (For MBA and graduate students)


Instructor at Massachusetts Institute of Technology, Fall 2007, Spring 2008, Fall 2008. (For undergraduate students in engineering)


Teaching Assistant at Massachusetts Institute of Technology 18.03 (Differential equations and combinatorial optimization), 2006-2007.


Advising eight undergraduate students at Massachusetts Institute of Technology, Summers 2007--2010. (I won Roger family prizes at MIT for the best mentorship)






Hoda Bidkhori 

Rm 1-178, Massachusetts Institute of Technology

77 Mass Ave, Cambridge, MA, 02139

bidkhori@mit.edu