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Profile
Jianqiang Cheng
Associate Professor, Systems and Industrial Engineering | Member of the Graduate Faculty
Systems and Industrial Engineering
Overview
Research
More
Collaboration
(21)
Lisa O'Neill
Mutual work: 2 Proposals
Collaboration Details
Yao-jan Wu
Mutual work: 1 Grant﹒6 Proposals
Collaboration Details
Jian Liu
Mutual work: 3 Proposals
Collaboration Details
Vignesh Subbian
Mutual work: 3 Proposals
Collaboration Details
Linda Phillips
Mutual work: 3 Proposals
Collaboration Details
Page 1 of 5
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Grants
(6)
CAREER: Risk-Averse Decision Making via Chance-Constrained Programming for Power Systems
Active
·
2022
·
$500K
·
External
Principal Investigator (PI)
decision making,
power systems,
risk management,
programming,
uncertainty
lll: Small: Learning to Hash Information Networks
Active
·
2020
·
$199.8K / $499.6K
·
External
Co-Investigator (COI)
machine learning,
hashing,
information networks,
data mining,
computer science
Conic Programming Reformulations and Relaxations for Quadratically Constrained and Quadratic Programs
Active
·
2020
·
$150K
·
External
Principal Investigator (PI)
optimization,
conic programming,
quadratic programs,
reformulations,
relaxations
NITC 2016 Round 4 Conference Travel Funding
Active
·
2020
·
$3K
·
External
Principal Investigator (PI)
conference travel,
funding,
round 4,
research
NITC: Data-Driven Optimization for E-Scooter System Design
2020
·
$54.8K / $67.6K
·
External
Principal Investigator (PI)
data-driven optimization,
e-scooter system,
design,
data analysis,
transportation
Page 1 of 2
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Publications
(40)
Recent
Submodule Capacitor Sizing for Cascaded H-Bridge STATCOM with Sum of Squares Formulation
2022
power systems,
renewable energy,
control systems,
electric grid,
statistical analysis
Data-Driven Chance-Constrained Planning for Distributed Generation: A Partial Sampling Approach
2022
distributed generation,
data-driven planning,
chance-constrained,
partial sampling,
risk management
Asymptotically Tight Conic Approximations for Chance-Constrained AC Optimal Power Flow
2022
power systems,
optimization,
probability,
mathematical modeling,
energy markets
Data-Driven Robust Optimization Using Scenario-Induced Uncertainty Sets
2021
robust optimization,
data-driven,
scenario-induced,
uncertainty sets,
data analysis
Computationally Efficient Approximations for Distributionally Robust Optimization under Moment and Wasserstein Ambiguity
2021
optimization,
robustness,
approximations,
ambiguity,
computational efficiency
Resilient NdFeB magnet recycling under the impacts of COVID-19 pandemic: Stochastic programming and Benders decomposition
2021
magnet recycling,
covid-19 impact,
stochastic programming,
benders decomposition,
ndfeb magnet
Chance-constrained optimization-based solar microgrid design and dispatch for radial distribution networks
2021
solar energy,
microgrid,
optimization,
distribution networks,
renewable energy
Optimization of solar-driven systems for off-grid water nanofiltration and electrification
2020
solar energy,
water filtration,
off-grid systems,
electrification,
nanofiltration
Data-Driven Planning for Renewable Distributed Generation Integration
2020
renewable energy,
data analysis,
energy planning,
distributed generation,
integration
A Framework for Solving Chance-Constrained Linear Matrix Inequality Programs
2020
optimization,
linear programming,
matrix inequality,
probabilistic constraints,
algorithm development