Antonis Papachristodoulou

Antonis Papachristodoulou

University of Oxford

H-index: 53

Europe-United Kingdom

About Antonis Papachristodoulou

Antonis Papachristodoulou, With an exceptional h-index of 53 and a recent h-index of 33 (since 2020), a distinguished researcher at University of Oxford, specializes in the field of Control Theory, Networked Systems, Control, Synthetic Biology, Systems Biology.

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

Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints

NLBAC: A Neural Ordinary Differential Equations-based Framework for Stable and Safe Reinforcement Learning

AC-BioSD: A biomolecular signal differentiator module with enhanced performance

Deciphering mechanisms of production of natural compounds using inducer-producer microbial consortia

A contract negotiation scheme for safety verification of interconnected systems

Assessing Safety for Control Systems Using Sum-of-Squares Programming

A barrier-lyapunov actor-critic reinforcement learning approach for safe and stable control

Sparse polynomial optimisation for neural network verification

Antonis Papachristodoulou Information

University

Position

___

Citations(all)

10786

Citations(since 2020)

4009

Cited By

8454

hIndex(all)

53

hIndex(since 2020)

33

i10Index(all)

160

i10Index(since 2020)

98

Email

University Profile Page

University of Oxford

Google Scholar

View Google Scholar Profile

Antonis Papachristodoulou Skills & Research Interests

Control Theory

Networked Systems

Control

Synthetic Biology

Systems Biology

Top articles of Antonis Papachristodoulou

Title

Journal

Author(s)

Publication Date

Convex Co-Design of Control Barrier Function and Safe Feedback Controller Under Input Constraints

arXiv preprint arXiv:2403.11763

Han Wang

Kostas Margellos

Antonis Papachristodoulou

Claudio De Persis

2024/3/18

NLBAC: A Neural Ordinary Differential Equations-based Framework for Stable and Safe Reinforcement Learning

arXiv preprint arXiv:2401.13148

Liqun Zhao

Keyan Miao

Konstantinos Gatsis

Antonis Papachristodoulou

2024/1/23

AC-BioSD: A biomolecular signal differentiator module with enhanced performance

bioRxiv

Emmanouil Alexis

Jose L Avalos

Luca Cardelli

Antonis Papachristodoulou

2024

Deciphering mechanisms of production of natural compounds using inducer-producer microbial consortia

Miroslav Gasparek

Harrison Steel

Antonis Papachristodoulou

2023/5/1

A contract negotiation scheme for safety verification of interconnected systems

arXiv preprint arXiv:2311.03164

Xiao Tan

Antonis Papachristodoulou

Dimos V Dimarogonas

2023/11/6

Assessing Safety for Control Systems Using Sum-of-Squares Programming

Han Wang

Kostas Margellos

Antonis Papachristodoulou

2023/12/28

A barrier-lyapunov actor-critic reinforcement learning approach for safe and stable control

arXiv preprint arXiv:2304.04066

Liqun Zhao

Konstantinos Gatsis

Antonis Papachristodoulou

2023/4/8

Sparse polynomial optimisation for neural network verification

Automatica

Matthew Newton

Antonis Papachristodoulou

2023/11/1

Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach

Liqun Zhao

Konstantinos Gatsis

Antonis Papachristodoulou

2023/12/13

Distributed control design and safety verification for multi-agent systems

arXiv preprint arXiv:2303.12610

Han Wang

Antonis Papachristodoulou

Kostas Margellos

2023/3/22

Regulation strategies for two-output biomolecular networks

Journal of the Royal Society Interface

Emmanouil Alexis

Carolin CM Schulte

Luca Cardelli

Antonis Papachristodoulou

2023/8/2

Model-Free Verification for Neural Network Controlled Systems

arXiv preprint arXiv:2312.08293

Han Wang

Zuxun Xiong

Liqun Zhao

Antonis Papachristodoulou

2023/12/13

Probabilistic feasibility guarantees for convex scenario programs with an arbitrary number of discarded constraints

Automatica

Licio Romao

Kostas Margellos

Antonis Papachristodoulou

2023/3/1

Rational Neural Network Controllers

arXiv preprint arXiv:2307.06287

Matthew Newton

Antonis Papachristodoulou

2023/7/12

Distributed safety verification for multi-agent systems

Han Wang

Antonis Papachristodoulou

Kostas Margellos

2023/12/13

Safety verification and controller synthesis for systems with input constraints

IFAC-PapersOnLine

Han Wang

Kostas Margellos

Antonis Papachristodoulou

2023/1/1

Control for societal-scale challenges: Road map 2030

Andrew Alleyne

Frank Allgöwer

Aaron Ames

Saurabh Amin

James Anderson

...

2023/5

A game theoretic approach for safe and distributed control of unmanned aerial vehicles

Allan Andre do Nascimento

Antonis Papachristodoulou

Kostas Margellos

2023/12/13

Reprogramming synthetic cells for targeted cancer therapy

ACS Synthetic Biology

Boon Lim

Yutong Yin

Hua Ye

Zhanfeng Cui

Antonis Papachristodoulou

...

2022/3/8

On the design of a PID bio-controller with set point weighting and filtered derivative action

IEEE Control Systems Letters

Emmanouil Alexis

Luca Cardelli

Antonis Papachristodoulou

2022/6/14

See List of Professors in Antonis Papachristodoulou University(University of Oxford)

Co-Authors

H-index: 103
John Doyle

John Doyle

California Institute of Technology

H-index: 86
Frank Allgöwer

Frank Allgöwer

Universität Stuttgart

H-index: 71
Ali Jadbabaie

Ali Jadbabaie

Massachusetts Institute of Technology

H-index: 62
Pablo A. Parrilo

Pablo A. Parrilo

Massachusetts Institute of Technology

H-index: 47
Peter Seiler Jr

Peter Seiler Jr

University of Michigan-Dearborn

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