IEEE Systems, Man and Cybernetics Magazine - July 2023 - 36

previous work on guidance and matching [2], we will
design integrated vehicle guidance and rider-driver matching
systems that make use of the special characteristics of
the ride-hailing data and domain-specific constraints to
further improve the performance of the framework in
terms of system scalability and solution quality.
About the Authors
Xiaoming Li (xiaoming.li@mail.concordia.ca) earned his
M.S. degree in computer software and theory from Northeastern
University and his Ph.D. degree in information and
systems engineering from Concordia University. He is a
research associate at Concordia University, Montreal, QC
H3G 1M8 Canada. His research interests include optimization
under uncertainty, large-scale optimization, network
optimization, machine learning with applications in intelligent
transportation systems, and supply chain optimization.
Jie Gao (jie.gao@hec.ca) earned her MASc. degree in
information systems and her Ph.D. degree in information
systems engineering from Concordia University. She is a
postdoctoral research fellow at HEC Montreal at the University
of Montreal, Montreal, QC H3T 2A7 Canada. Her
research interests include data-driven optimization, game
theory, mechanism design, and machine learning with
applications in intelligent transportation systems, smart
cities, and community healthcare.
Chun Wang (chun.wang@concordia.ca) is a professor
with the Concordia Institute for Information Systems Engineering,
Concordia University, Montreal, QC H3G 1M8 Canada.
His research interests include the interface between
economic models, operations research, and artificial intelligence.
He is actively conducting research in multiagent systems,
data-driven optimization, and economic model-based
resource allocation with applications to healthcare management,
smart grid, and smart city environments. He is a Member
of IEEE.
Xiao Huang (xiao.huang@concordia.ca) earned her
B.E. degree in electronic engineering from Tsinghua University,
her M.S. degree in mathematical finance from the University
of Southern California, and her Ph.D. degree from
the Marshall School of Business at the University of Southern
California. She is a professor and the Concordia University
Research Chair in Supply Chain Management in the
John Molson School of Business at Concordia University,
Montreal, QC H3G 1M8 Canada. Her research interests
include competition and cooperation in supply chains, product
and pricing strategies, and data-driven decision-making.
Yimin Nie (yimin.nie@ericsson.com) earned his B.S.
and M.S. degrees in theoretical physics from Peking University
and his Ph.D. degree in computational neuroscience
from the Canadian Center of Behavior Neuroscience at the
University of Calgary. He is currently a senior data scientist
and artificial intelligence researcher at Global AI Accelerator
(GAIA) at Ericsson Inc., Montreal, QC H4R 2A4 Canada.
He worked as a senior data scientist in multiple business
fields including E-commerce, finance, and telecommunica36
IEEE SYSTEMS, MAN, & CYBERNETICS MAGAZINE July 2023
tion. His research interests include machine learning, computer
vision, and natural language processing.
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IEEE Systems, Man and Cybernetics Magazine - July 2023

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