Daniel E. Quevedo

Daniel E. Quevedo

Queensland University of Technology

H-index: 54

Oceania-Australia

About Daniel E. Quevedo

Daniel E. Quevedo, With an exceptional h-index of 54 and a recent h-index of 39 (since 2020), a distinguished researcher at Queensland University of Technology, specializes in the field of Networked Systems, Systems and Control Theory, Cyber-physical systems, Cyber-Physical Security, Model Predictive Control.

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

Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey

Thompson sampling for networked control over unknown channels

Innovation-based remote state estimation secrecy with no acknowledgments

Extending direct data-driven predictive control towards systems with finite control sets

Remote State Estimation with Privacy Against Active Eavesdroppers

Remote State Estimation with Privacy Against Eavesdroppers

Structure-enhanced deep reinforcement learning for optimal transmission scheduling

Deep learning for wireless networked systems: a joint estimation-control-scheduling approach

Daniel E. Quevedo Information

University

Position

___

Citations(all)

13304

Citations(since 2020)

6249

Cited By

9779

hIndex(all)

54

hIndex(since 2020)

39

i10Index(all)

174

i10Index(since 2020)

111

Email

University Profile Page

Queensland University of Technology

Google Scholar

View Google Scholar Profile

Daniel E. Quevedo Skills & Research Interests

Networked Systems

Systems and Control Theory

Cyber-physical systems

Cyber-Physical Security

Model Predictive Control

Top articles of Daniel E. Quevedo

Title

Journal

Author(s)

Publication Date

Privacy-Preserving State Estimation in the Presence of Eavesdroppers: A Survey

Xinhao Yan

Guanzhong Zhou

Daniel E Quevedo

Carlos Murguia

Bo Chen

...

2024/2/24

Thompson sampling for networked control over unknown channels

Automatica

Wanchun Liu

Alex S Leong

Daniel E Quevedo

2024/7/1

Innovation-based remote state estimation secrecy with no acknowledgments

IEEE Transactions on Automatic Control

Justin M Kennedy

Jason J Ford

Daniel E Quevedo

Falko Dressler

2024/4/4

Extending direct data-driven predictive control towards systems with finite control sets

arXiv preprint arXiv:2404.02727

Manuel Klädtke

Moritz Schulze Darup

Daniel E Quevedo

2024/4/3

Remote State Estimation with Privacy Against Active Eavesdroppers

arXiv preprint arXiv:2308.08790

Matthew Crimson

Justin M Kennedy

Daniel E Quevedo

2023/8/17

Remote State Estimation with Privacy Against Eavesdroppers

IFAC-PapersOnLine

Matthew J Crimson

Justin M Kennedy

Daniel E Quevedo

2023/1/1

Structure-enhanced deep reinforcement learning for optimal transmission scheduling

Jiazheng Chen

Wanchun Liu

Daniel E Quevedo

Yonghui Li

Branka Vucetic

2023/5/28

Deep learning for wireless networked systems: a joint estimation-control-scheduling approach

IEEE Internet of Things Journal

Zihuai Zhao

Wanchun Liu

Daniel E Quevedo

Yonghui Li

Branka Vucetic

2023/7/31

Structure-enhanced DRL for optimal transmission scheduling

IEEE Transactions on Wireless Communications

Jiazheng Chen

Wanchun Liu

Daniel E Quevedo

Saeed R Khosravirad

Yonghui Li

...

2023/5/25

Optimal transmission strategy for multiple Markovian fading channels: Existence, structure, and approximation

Automatica

Yong Xu

Haoxiang Xiang

Lixin Yang

Renquan Lu

Daniel E Quevedo

2023/12/1

Stability Enforced Bandit Algorithms for Channel Selection in Remote State Estimation of Gauss-Markov Processes

IEEE Transactions on Automatic Control

Alex S Leong

Daniel E Quevedo

Wanchun Liu

2023/7/27

Centralized model predictive control with human-driver interaction for platooning

IEEE Transactions on Vehicular Technology

Justin M Kennedy

Julian Heinovski

Daniel E Quevedo

Falko Dressler

2023/5/18

The Vulnerability Analysis of Remote Estimation with Batch-Data Detectors against Integrity Attacks

IEEE Transactions on Automatic Control

Yake Yang

Yuzhe Li

Yang Shi

Daniel E Quevedo

2023/11/10

Ensemble nonlinear model predictive control for residential solar battery energy management

IEEE Transactions on Control Systems Technology

Yang Li

D Mahinda Vilathgamuwa

Daniel E Quevedo

Chih Feng Lee

Changfu Zou

2023/9

Semantic-aware transmission scheduling: A monotonicity-driven deep reinforcement learning approach

IEEE Communications Letters

Jiazheng Chen

Wanchun Liu

Daniel E Quevedo

Yonghui Li

Branka Vucetic

2023/10/25

Special issue on control technology for networked and distributed robotics (Part II)

Advanced Robotics

Masaaki Nagahara

Kai Cai

Debasish Chatterjee

Nikhil Chopra

Takeshi Hatanaka

...

2023/1/17

Time-stamp attacks on remote state estimation in cyber-physical systems

IEEE Transactions on Control of Network Systems

Fuyi Qu

Nachuan Yang

Hao Liu

Yuzhe Li

Daniel E Quevedo

2023/6/13

A jointly optimal design of control and scheduling in networked systems under denial-of-service attacks

Automatica

Jingyi Lu

Daniel E Quevedo

2023/2/1

Event-triggered transmission policies for nonlinear control systems over erasure channels

IEEE Control Systems Letters

Vineeth S Varma

Romain Postoyan

Daniel E Quevedo

Irinel-Constantin Morărescu

2023/6/12

Coding for secrecy in remote state estimation with an adversary

IEEE Transactions on Automatic Control

Marvin Lücke

Jingyi Lu

Daniel E Quevedo

2022/4/25

See List of Professors in Daniel E. Quevedo University(Queensland University of Technology)

Co-Authors

H-index: 111
Jose Rodriguez

Jose Rodriguez

Universidad Andrés Bello

H-index: 100
Karl H. Johansson

Karl H. Johansson

Kungliga Tekniska högskolan

H-index: 35
Patricio Cortes

Patricio Cortes

Universidad Técnica Federico Santa María

H-index: 33
Pablo Lezana

Pablo Lezana

Universidad Técnica Federico Santa María

H-index: 25
Debasish Chatterjee

Debasish Chatterjee

Indian Institute of Technology Bombay

H-index: 20
Yuzhe Li

Yuzhe Li

Northeastern University, China

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