Pitt | Swanson Engineering
Jiang, Daniel R.
Industrial Engineering
Jiang, Daniel R.
Assistant Professor
Faculty
Assistant Professor
Office: 1002 Benedum Hall
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Ph.D. Operations Research & Financial Engineering, Princeton University, 2016.

M.A. Operations Research & Financial Engineering, Princeton University, 2013.

B.S. Computer Engineering, With Highest Distinction, Purdue University, 2011.

B.S. Mathematics, With Highest Distinction, Purdue University, 2011.

Energy and sustainability
Approximate dynamic programming
Risk-averse decision making
Markov decision processes
Stochastic optimization

Wu Prize for Excellence (Sir Gordon Y.S. Wu ’58), Princeton University, Fall 2015. Awarded to final year engineering graduate students on the basis of coursework, research, and teaching.

Eta Kappa Nu Outstanding Junior in Electrical Engineering Award, Purdue University, Fall 2009. Awarded to 1 out of ~200 students on the basis of academics, technical achievement, and service.

D. R. Jiang, W. B. Powell (2016). Optimal Policies for Risk-Averse Electric Vehicle Charging with Spot Purchases. Submitted.

D. R. Jiang, W. B. Powell (2016). Risk-Averse Approximate Dynamic Programming with Quantile-Based Risk Measures. Under Revision.

D. R. Jiang, W. B. Powell (2015). An Approximate Dynamic Programming Algorithm for Monotone Value Functions. Operations Research, Vol. 63, No. 6, pp. 1489-1511.

D. R. Jiang, W. B. Powell (2015). Optimal Hour–Ahead Bidding in the Real–Time Electricity Market with Battery Storage using Approximate Dynamic Programming. INFORMS Journal on Computing, Vol. 27, No. 3, pp. 525-543.

D. R. Jiang, T. V. Pham, W. B. Powell, D. F. Salas, W. R. Scott (2014). A Comparison of Approximate Dynamic Programming Techniques on Benchmark Energy Storage Problems: Does Anything Work? IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL).