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Markus Endler
PeerJ Editor, Author & Reviewer
1,270 Points

Contributions by role

Reviewer 35
Editor 1,235

Contributions by subject area

Agents and Multi-Agent Systems
Autonomous Systems
Computer Networks and Communications
Emerging Technologies
Distributed and Parallel Computing
Mobile and Ubiquitous Computing
Real-Time and Embedded Systems
Software Engineering
Multimedia
Security and Privacy
Artificial Intelligence
Cryptography
Data Mining and Machine Learning
Internet of Things
Data Science
Human-Computer Interaction
Text Mining
Algorithms and Analysis of Algorithms
Neural Networks
Blockchain
Optimization Theory and Computation
Robotics

Markus Endler

PeerJ Editor, Author & Reviewer

Summary

Markus Endler obtained his Dr. rer. nat. in Computer Science from the Technical University of Berlin (1992), and the Professor Livre-docente title (Habilitation) from the University of São Paulo (2001). From 1989 to 1993 he worked as a researcher at the GMD Research Institute Karlsruhe (Germany), and from 1994 to 2000 as an Assistant Professor at the Institute of Mathematics and Statistics of the University of São Paulo (USP). In 2001 he joined the Department of Informatics of the Pontifícia Universidade Católica in Rio de Janeiro (PUC-Rio), where he is currently Associate Professor. His main research interests include Mobile and Pervasive Computing, IoT Middleware Architectures. Distributed Algorithms for Cooperation and Consensus, Online Data Analytics, and Data Stream Processing. As of 2020, he has supervised 13 PhD thesis and 30+ M.Sc. dissertations.

Autonomous Systems Computer Networks & Communications Distributed & Parallel Computing Emerging Technologies Mobile & Ubiquitous Computing

Editorial Board Member

PeerJ Computer Science

Work details

Associate Professor

PUC-Rio
March 2001
Departamento de Informática
He joined the Department of Informatics of PUC-Rio in 2001, where he does undergraduate and graduate level teaching, research and thesis supervision, executes administrative tasks and leads projects with the industry. In addition, he leads the Laboratory for Advanced Collaboration (LAC) - www.lac.inf.puc-rio.br, an applied research lab that does R&D in middleware for mobile/pervasive systems and internet of Things, and distributed stream processing. In LAC work several post-docs, Doctoral and master students, as well as several undergraduate students. From July 2020 until April 2024 he served as the Director of the Department of Informatics (DI) of PUC-Rio. DI is the pioneer Computer Science department on Brazil and has an acknowledged international high quality standard in teaching, research and systems innovation.

Websites

  • Google Scholar
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PeerJ Contributions

  • Edited 6

Academic Editor on

August 19, 2025
Software defined network intrusion system to detect malicious attacks in computer Internet of Things security using deep extractor supervised random forest technique
Muhammad Mujahid, Abeer Rashad Mirdad, Faten S. Alamri, Anees Ara, Amjad Khan
https://doi.org/10.7717/peerj-cs.3103
June 27, 2025
SMAD-LDS: enhanced secure message authentication and dissemination with lightweight digital signature in the Internet of Vehicles
Islam Z. Ahmed, Yasser Hifny, Rowayda A. Sadek
https://doi.org/10.7717/peerj-cs.2982
April 29, 2025
Can executives’ digital background develop the level of AI utilization in enterprises
Ruichao Yu, Linrong Wu, Guiying Li, Zixin Wang
https://doi.org/10.7717/peerj-cs.2848
December 19, 2024
Two-degree of freedom Mahalanobis classifier for smartphone-camera identification from natural digital images
Rubén Vázquez-Medina, César Enrique Rojas-López, Omar Jiménez-Ramírez, Luis Niño-de-Rvera-Oyarzabal, Leonardo Palacios-Luengas
https://doi.org/10.7717/peerj-cs.2513
January 2, 2024
An autonomous mixed data oversampling method for AIOT-based churn recognition and personalized recommendations using behavioral segmentation
Ghulam Fatima, Salabat Khan, Farhan Aadil, Do Hyuen Kim, Ghada Atteia, Maali Alabdulhafith
https://doi.org/10.7717/peerj-cs.1756
July 5, 2021
FogFrame: a framework for IoT application execution in the fog
Olena Skarlat, Stefan Schulte
https://doi.org/10.7717/peerj-cs.588