##### KMap

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Dr. Jianqiang Cheng is an assistant professor in the Department of Systems and Industrial Engineerin at the University of Arizona (UA), Tucson, Arizona. He completed his Ph.D. in 2013 at the PARIS-SACLAY University. He received his B.S. Degree in Math and Applied Maths in Shanghai University. He is particularly interested in Stochastic Programming, Robust Optimization, Semi-definite programming, as well as their applications. Before joining UA, he worked at Sandia National Laboratories as a postdoctroal researcher.Show Less

#### VOSviewer

##### Courses

- MFSIEMathematical Foundations of Systems and Industrial Engineering
- FOFundamentals of Optimization

##### Grants

- CAREER: Risk-Averse Decision Making via Chance-Constrained Programming for Power Systems
Principal Investigator (PI)

2022

###### $406.6K

Active - lll: Small: Learning to Hash Information Networks
Co-Investigator (COI)

2020

###### $499.6K

Active - Conic Programming Reformulations and Relaxations for Quadratically Constrained and Quadratic Programs
Principal Investigator (PI)

2020

###### $150.0K

Active - NITC 2016 Round 4 Conference Travel Funding
Principal Investigator (PI)

2020

###### $3.0K

Active - NITC: Data-Driven Optimization for E-Scooter System Design
Principal Investigator (PI)

2020

###### $67.6K

- UofA 2017 Bisgrove Scholar Program - Dr. Jianqiang Chen
Co-Investigator (COI)

2017

###### $200.0K

##### News

- UA Researchers Win Four of Five State Bisgrove Scholar Awards
2017

##### Publications (41)

Recent

- Submodule Capacitor Sizing for Cascaded H-Bridge STATCOM with Sum of Squares Formulation
2022

- Asymptotically Tight Conic Approximations for Chance-Constrained AC Optimal Power Flow
2022

- Data-Driven Chance-Constrained Planning for Distributed Generation: A Partial Sampling Approach
2022

- Chance-constrained optimization-based solar microgrid design and dispatch for radial distribution networks
2021

- Data-Driven Robust Optimization Using Scenario-Induced Uncertainty Sets
2021

- Computationally Efficient Approximations for Distributionally Robust Optimization under Moment and Wasserstein Ambiguity
2021

- Resilient NdFeB magnet recycling under the impacts of COVID-19 pandemic: Stochastic programming and Benders decomposition
2021

- A Framework for Solving Chance-Constrained Linear Matrix Inequality Programs
2020

- Computationally Efficient Approximations for Distributionally Robust Optimization
2020

- Data-driven planning for renewable distributed generation integration
2020

- Optimization of solar-driven systems for off-grid water nanofiltration and electrification
2020

- Partial sample average approximation method for chance constrained problems
2019

- A joint chance-constrained programming approach for the single-item capacitated lot-sizing problem with stochastic demand
2018

- Notoriously hard (mixed-) binary QPs: empirical evidence on new completely positive approaches
2018

- Distributionally Robust Optimization with Principal Component Analysis
2018

- Probabilistic-robust optimal control for uncertain linear time-delay systems by state feedback controllers with memory
2018

- Partial Sample Average Approximation Approach for Stochastic Lot-Sizing Problems
2018

- Chance-constrained economic dispatch with renewable energy and storage
2018

- A fresh CP look at mixed-binary QPs: new formulations and relaxations
2017

- New reformulations of distributionally robust shortest path problem
2016

- Stochastic nonlinear resource allocation problem
2016

- Random-payoff two-person zero-sum game with joint chance constraints
2016

- Chance constrained 0 ndash;1 quadratic programs using copulas
2015

- Chance constrained 0--1 quadratic programs using copulas
2015

- A Sampling Method to Chance-constrained Semidefinite Optimization
2015

- Maximum probability shortest path problem
2015

- Stochastic Semidefinite Optimization Using Sampling Methods
2015

- Solving a stochastic lot-sizing problem with a modified sample approximation approach.
2014

- A chance constrained approach for uplink wireless OFDMA networks
2014

- Distributionally Robust Stochastic Knapsack Problem
2014

- A modified sample approximation method for chance constrained problems
2014

- A joint chance-constraint programming approach for a stochastic lot-sizing problem
2014

- Second-order cone programming approach for elliptically distributed joint probabilistic constraints with dependent rows
2014

- A modified sample approximation approach for chance-constrained problems
2014

- Distributionally robust stochastic shortest path problem
2013

- A completely positive representation of 0--1 linear programs with joint probabilistic constraints
2013

- STOCHASTIC SHORTEST PATH PROBLEM WITH UNCERTAIN DELAYS
2012

- A second-order cone programming approximation to joint chance-constrained linear programs
2012

- Stochastic Shortest Path Problem with Uncertain Delays.
2012

- A second-order cone programming approach for linear programs with joint probabilistic constraints
2012

- Improved estimator of the continuous-time kernel estimator
2010

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