Anqi Dong (董安齐)
Control, Optimal mass transport, Network science
KTH Royal Institute of Technology
anqid AT kth Dot se & anqid2 AT uci Dot edu
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I received my BSc in Mechanical and Automation Engineering from Harbin Institute of Technology, China, in 2017 and a Ph.D. degree in Mechanical and Aerospace Engineering from the University of California, Irvine, in 2023, under the supervision of Prof. Tryphon T. Georgiou. I was a visiting scholar with Prof. Li Qiu from 2023 to 2024. I am currently a research associate at Division of Decision and Control Systems and Department of Mathematics, KTH Royal Institute of Technology, co-supervised by Prof. Karl H. Johansson and Prof. Johan Karlsson. Here is my curriculum vitae. My Ph.D. thesis can be found here.
My research includes optimal mass transport theory and its applications, graph and hypergraph theory, and optimization.
Past and Upcoming Talks
On Controllability of Multilinear Dynamical Systems (2025)
The 23rd European Control Conference, Thessaloniki, Greece.
Controllability and Observability of Temporal Hypergraphs (2025)
The 2025 American Control Conference (ACC), Denver, Colorado, USA.
Network Learning with Directional Sign Patterns (2024)
The 63rd IEEE Conference on Decision and Control, Milan, Italy.
On Complexity of Stability Analysis in Higher-order Ecological Networks through Tensor Decompositions (2024)
The 22nd European Control Conference, Stockholm, Sweden.
Optimal Transport with sign-indefinite structure: A nonlinear Sinkhorn Algorithm & Gene Networks (2023)
BIMSA Seminars in Applied Mathematics, Tsinghua University, Beijing, China.
Optimal Transport with sign-indefinite structure slides (2023)
Peking University, Beijing, China.
Monge-Kantorovich Optimal Transport through tolls slides (2023)
SIAM Conference on Control and Its Applications, Philadelphia, Pennsylvania,
Monge-Kantorovich transport through constrictions & flow rate constraints slides (2022)
The 40th SoCal Control Workshop, Caltech, California, USA.
Lasso formulation of the shortest path problem (2020)
The 59th IEEE Conference on Decision and Control (CDC), Online.
Teaching & Mentoring Experience
Teacher Assistant (UCI):
Introduction to Control Theory, Theory of Machines, Dynamics, Introduction to Engineering Computations,
Linear Algebra (Graduate Level), Mechanical Engineering Design.
Mentor (UCI):
Capstone Design, Senior Design Projects.
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