Mark Kon

Mark Kon

Boston University

H-index: 22

North America-United States

About Mark Kon

Mark Kon, With an exceptional h-index of 22 and a recent h-index of 15 (since 2020), a distinguished researcher at Boston University, specializes in the field of functional analysis, mathematical physics, machine learning, computational biology, complexity theory.

His recent articles reflect a diverse array of research interests and contributions to the field:

Analytic regularity of strong solutions for the complexified stochastic non-linear Poisson Boltzmann Equation

Uncertainty quantification and complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains

Wavelet matrix operations and quantum transforms

Stochastic Functional Analysis and Multilevel Vector Field Anomaly Detection

Anomaly detection: A functional analysis perspective

Coupled VAE: Improved accuracy and robustness of a variational autoencoder

BowSaw: inferring higher-order trait interactions associated with complex biological phenotypes

Existence of Strong Solution for the Complexified Non-linear Poisson Boltzmann Equation

Mark Kon Information

University

Position

Professor of Mathematics

Citations(all)

2230

Citations(since 2020)

748

Cited By

1736

hIndex(all)

22

hIndex(since 2020)

15

i10Index(all)

46

i10Index(since 2020)

20

Email

University Profile Page

Boston University

Google Scholar

View Google Scholar Profile

Mark Kon Skills & Research Interests

functional analysis

mathematical physics

machine learning

computational biology

complexity theory

Top articles of Mark Kon

Title

Journal

Author(s)

Publication Date

Analytic regularity of strong solutions for the complexified stochastic non-linear Poisson Boltzmann Equation

arXiv preprint arXiv:2309.16068

Brian Choi

Jie Xu

Trevor Norton

Mark Kon

Julio Enrique Castrillon-Candas

2023/9/27

Uncertainty quantification and complex analyticity of the nonlinear Poisson-Boltzmann equation for the interface problem with random domains

arXiv preprint arXiv:2309.16439

Trevor Norton

Jie Xu

Brian Choi

Mark Kon

Julio Enrique Castrillón-Candás

2023/9/28

Wavelet matrix operations and quantum transforms

Applied Mathematics and Computation

Zhiguo Zhang

Mark A Kon

2022/9/1

Stochastic Functional Analysis and Multilevel Vector Field Anomaly Detection

arXiv preprint arXiv:2207.06229

Julio E Castrillon-Candas

Mark Kon

2022/7/11

Anomaly detection: A functional analysis perspective

Journal of Multivariate Analysis

Julio E Castrillón-Candás

Mark Kon

2022/5/1

Coupled VAE: Improved accuracy and robustness of a variational autoencoder

Entropy

Shichen Cao

Jingjing Li

Kenric P Nelson

Mark A Kon

2022/3/18

BowSaw: inferring higher-order trait interactions associated with complex biological phenotypes

Frontiers in Molecular Biosciences

Demetrius DiMucci

Mark Kon

Daniel Segrè

2021/6/17

Existence of Strong Solution for the Complexified Non-linear Poisson Boltzmann Equation

arXiv preprint arXiv:2106.05811

Brian Choi

Jie Xu

Trevor Norton

Mark Kon

Julio E Castrillon-Candas

2021/6/10

Change detection, a functional analysis perspective

arXiv: 2012.09141 v1 [math. PR]

Mark Kon

Julio E Castrillon-Candas

2021

Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records

IEEE Transactions on Big Data

Wenrui Li

Xiaoyu Wang

Yuetian Sun

Snezana Milanovic

Mark Kon

...

2023/10/30

Stochastic coordinate transformations with applications to robust machine learning

J Castrillón-Candás

DINGNING Liu

MARK Kon

2021

Analytic regularity and stochastic collocation of high-dimensional Newton iterates

Advances in computational mathematics

Julio E Castrillón-Candás

Mark Kon

2020/6

Identifying factors associated with opioid cessation in a biracial sample using machine learning

Exploration of medicine

Jiayi W Cox

Richard M Sherva

Kathryn L Lunetta

Richard Saitz

Mark Kon

...

2020

General methods and properties to evaluate continuum limits of the 1D discrete time quantum walk

Quantum Information Processing

Michael Manighalam

Mark Kon

2020/10

Interpolatory filter banks and interpolatory wavelet packets

Journal of Computational and Applied Mathematics

Zhiguo Zhang

Mark A Kon

2020/8/15

See List of Professors in Mark Kon University(Boston University)