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Kostia Zuev - Research
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Prospective Students

If you are interested in working with me in one of the research areas described on the right, or have your own project in mind that you would like to discuss, please send me an email to kostia [at] caltech [dot] edu. 


Students
Jenna Birch (U of Liverpool)
Yanhua Chen (U of Liverpool)
Will Cunningham (Northeastern U)
Or Eisenberg (Northeastern U → Harvard U)
Alfredo Garbuño-Inigo (U of Liverpool)
Ashwin Hari (Caltech)
Keegan Mendonca (Caltech → Facebook)
Stavros Stavroglou (U of Liverpool)
Michail Vamvakaris (U of liverpool)
Stephen Wu (Caltech → ICM) 

[10]

[22]
[13]
[16] [17]


[20]
[19]
[11]


Coauthors
Ivan Au (U of Liverpool)
James Beck (Caltech)
Michael Beer (U of Hannover)
Ginestra Bianconi (QMUL)
Marián Boguñá (U de Barcelona)
Alexey Bolsinov (Loughborough U)
Alex DiazDelaO (U of Liverpool)
Lambros Katafygiotis (HKUST)
Dima Krioukov (Northeastern U)
Athanasios Pantelous (U of Liverpool)
Fragkiskos Papadopoulos
 (CUT)
Kimmo Soramäki (FNA)

[7]
[7] [8] [9] [11] [18]
[E1] [21]
[12]
[12]
[4]
[16
] [18]
[3] [5] [6] [7]
[12] [13] [15] [20]
[10] [19] [20]
[15]

[20]

Erdös Number
My Erdös number is (at most) 4:
KZ→Bianconi→Severini→Cameron→Erdös

Citations
Google Scholar:

Research Areas

My research is interdisciplinary. I like to branch out, learn new areas of math, engineering, and science, and jump on new problems.

I have written two independent Ph.D. dissertations and published papers being affiliated with departments of civil engineering, mathematics, physics, and computer science. According to Dyson's "birds-and-frogs" classification, I am a frog which occasionally makes very long jumps. Most of my research falls under the umbrella of applied probability & statistics with applicatins to engineering problems and has a strong geometric flavor.


- Somewhere in Hong Kong

My research spans topics in three interdisciplinary areas of Engineering, Applied Mathematics, and Statistics.

Reliability Engineering: Rare Event Simulation, Estimation of Small Failure Probabilities, Structural Reliability, Risk Analysis, Reliability and Resilience of Critical Infrastructure Networks, Cascading Failures.
> continue reading about rare events

Network Science: Complex Network Models, Hyperbolic Geometry of Network Data, Network Dynamics, Exponential Random Graphs, Simplicial Complexes, Multilayer Networks, Infrastructure Networks.
> continue reading about complex networks

Computational Statistics: Markov Chain Monte Carlo, Subset Simulation, Importance Sampling, Simulated Annealing, Bootstrap, Permutation Tests, Stochastic Geometry and Optimization, Bayesian Inference.
> continue reading about MCMC