Ruth Misener

Ruth Misener

Imperial College London

H-index: 32

Europe-United Kingdom

About Ruth Misener

Ruth Misener, With an exceptional h-index of 32 and a recent h-index of 26 (since 2020), a distinguished researcher at Imperial College London, specializes in the field of Computational Optimization, MINLP, Process Systems Engineering.

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

Augmenting optimization-based molecular design with graph neural networks

Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays

Verifying message-passing neural networks via topology-based bounds tightening

Mixed-Output Gaussian Process Latent Variable Models

Transition Constrained Bayesian Optimization via Markov Decision Processes

Optimizing over trained GNNs via symmetry breaking

Dependence in constrained Bayesian optimization

Partial lasserre relaxation for sparse Max-Cut

Ruth Misener Information

University

Position

___

Citations(all)

4069

Citations(since 2020)

2407

Cited By

2575

hIndex(all)

32

hIndex(since 2020)

26

i10Index(all)

55

i10Index(since 2020)

50

Email

University Profile Page

Imperial College London

Google Scholar

View Google Scholar Profile

Ruth Misener Skills & Research Interests

Computational Optimization

MINLP

Process Systems Engineering

Top articles of Ruth Misener

Title

Journal

Author(s)

Publication Date

Augmenting optimization-based molecular design with graph neural networks

Computers & Chemical Engineering

Shiqiang Zhang

Juan S Campos

Christian Feldmann

Frederik Sandfort

Miriam Mathea

...

2024/4/12

Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays

arXiv preprint arXiv:2402.17704

Ruby Sedgwick

John P Goertz

Molly M Stevens

Ruth Misener

Mark van der Wilk

2024/2/27

Verifying message-passing neural networks via topology-based bounds tightening

arXiv preprint arXiv:2402.13937

Christopher Hojny

Shiqiang Zhang

Juan S Campos

Ruth Misener

2024/2/21

Mixed-Output Gaussian Process Latent Variable Models

arXiv preprint arXiv:2402.09122

James Odgers

Chrysoula Kappatou

Ruth Misener

Sarah Filippi

2024/2/14

Transition Constrained Bayesian Optimization via Markov Decision Processes

arXiv preprint arXiv:2402.08406

Jose Pablo Folch

Calvin Tsay

Robert M Lee

Behrang Shafei

Weronika Ormaniec

...

2024/2/13

Optimizing over trained GNNs via symmetry breaking

Advances in Neural Information Processing Systems

Shiqiang Zhang

Juan Campos

Christian Feldmann

David Walz

Frederik Sandfort

...

2024/2/13

Dependence in constrained Bayesian optimization

Shiqiang Zhang

Robert M Lee

Behrang Shafei

David Walz

Ruth Misener

2023

Partial lasserre relaxation for sparse Max-Cut

Optimization and Engineering

Juan S Campos

Ruth Misener

Panos Parpas

2023/9

Practical path-based Bayesian optimization

Jose Pablo Folch

James Odgers

Shiqiang Zhang

Robert M Lee

Behrang Shafei

...

2023/12/1

Competitive Amplification Networks enable molecular pattern recognition with PCR

bioRxiv

John P Goertz

Ruby Sedgwick

Francesca Smith

Myrsini P Kaforou

Victoria J Wright

...

2023

Gaussian Processes for Monitoring Air-Quality in Kampala

arXiv preprint arXiv:2311.16625

Clara Stoddart

Lauren Shrack

Richard Sserunjogi

Usman Abdul-Ganiy

Engineer Bainomugisha

...

2023/11/28

Probabilistic predictions for partial least squares using bootstrap

AIChE Journal

James Odgers

Chrysoula Kappatou

Ruth Misener

Salvador García Muñoz

Sarah Filippi

2023/7

Formulating data-driven surrogate models for process optimization

Computers & Chemical Engineering

Ruth Misener

Lorenz Biegler

2023/11/1

An Optimization Approach Coupling Preprocessing with Model Regression for Enhanced Chemometrics

Industrial & Engineering Chemistry Research

Chrysoula D Kappatou

James Odgers

Salvador García-Muñoz

Ruth Misener

2023/4/5

Dependence in constrained Bayesian optimization: When do we need it and how does it help?

Optimization Letters

Shiqiang Zhang

Robert M Lee

Behrang Shafei

David Walz

Ruth Misener

2023/9/20

Combining multi-fidelity modelling and asynchronous batch Bayesian Optimization

Computers & Chemical Engineering

Jose Pablo Folch

Robert M Lee

Behrang Shafei

David Walz

Calvin Tsay

...

2023/4/1

Data augmentation driven by optimization for membrane separation process synthesis

Computers & Chemical Engineering

Bernardetta Addis

Christophe Castel

Amalia Macali

Ruth Misener

Veronica Piccialli

2023/9/1

Maximizing information from chemical engineering data sets: Applications to machine learning

Alexander Thebelt

Johannes Wiebe

Jan Kronqvist

Calvin Tsay

Ruth Misener

2022/4/28

Solving the pooling problem at scale with extensible solver GALINI

Computers & Chemical Engineering

Francesco Ceccon

Ruth Misener

2022/3/1

Tree ensemble kernels for Bayesian optimization with known constraints over mixed-feature spaces

Advances in Neural Information Processing Systems

Alexander Thebelt

Calvin Tsay

Robert Lee

Nathan Sudermann-Merx

David Walz

...

2022/12/6

See List of Professors in Ruth Misener University(Imperial College London)

Co-Authors

H-index: 53
Francesca Toni

Francesca Toni

Imperial College London

H-index: 52
Athanasios Mantalaris

Athanasios Mantalaris

Imperial College London

H-index: 51
Michael C. Georgiadis

Michael C. Georgiadis

Aristotle University of Thessaloniki

H-index: 50
Margaritis Kostoglou

Margaritis Kostoglou

Aristotle University of Thessaloniki

H-index: 48
Marc Deisenroth

Marc Deisenroth

University College London

H-index: 27
Chrysanthos E. Gounaris

Chrysanthos E. Gounaris

Carnegie Mellon University

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