World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
8841
World Ranking
5927
National Ranking
276

Research.com Recognitions

  • 2018 - IEEE Fellow For contributions to the theory and applications of hard real-time multicore computing

Overview

Marco Caccamo is affiliated with the Technical University of Munich in Germany. Their research spans multiple fields within computer science and engineering, with a particular focus on areas related to real-time systems and aerospace technology.

The scientist has contributed extensively to research in the following fields of study:

  • Computer Science
  • Engineering

Caccamo's work further delves into specific subfields including:

  • Hardware and Architecture
  • Control and Systems Engineering
  • Artificial Intelligence
  • Aerospace Engineering
  • Computer Networks and Communications

Research topics covered in their publications include:

  • Real-Time Systems Scheduling
  • Formal Methods in Verification
  • Parallel Computing and Optimization Techniques
  • Aerospace and Aviation Technology
  • Advanced Aircraft Design and Technologies
  • Reinforcement Learning in Robotics
  • Adversarial Robustness in Machine Learning

Significant publication venues where Caccamo's research appears include:

  • arXiv (Cornell University)
  • Real-Time Systems
  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • AIAA AVIATION 2020 FORUM
  • AIAA Propulsion and Energy 2020 Forum

Frequent co-authors collaborating with Marco Caccamo are:

  • Mirco Theile
  • Majid Zamani
  • Or D. Dantsker
  • Bingzhuo Zhong
  • Hongpeng Cao

Selected recent papers authored or co-authored by Caccamo include:

  • "Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning," 2021, IEEE Open Journal of the Communications Society
  • "UAV Path Planning using Global and Local Map Information with Deep Reinforcement Learning," 2021, 2021 20th International Conference on Advanced Robotics (ICAR)
  • "Performance Testing of Aero-Naut CAM Folding Propellers," 2020, AIAA AVIATION 2020 FORUM
  • "Performance Testing of APC Electric Fixed-Blade UAV Propellers," 2022, AIAA AVIATION 2022 Forum
  • "6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping," 2023, Frontiers in Robotics and AI

Marco Caccamo has been recognized as an IEEE Fellow, an honor awarded in 2018 for contributions to the theory and applications of hard real-time multicore computing.

Best Publications

  • Real Time Scheduling Theory: A Historical Perspective

    Lui Sha;Tarek Abdelzaher;Karl-Erik Årzén;Anton Cervin

  • Elastic scheduling for flexible workload management

    G.C. Buttazzo;G. Lipari;M. Caccamo;L. Abeni

  • An implicit prioritized access protocol for wireless sensor networks

    M. Caccamo;L.Y. Zhang;Lui Sha;G. Buttazzo

  • MemGuard: Memory bandwidth reservation system for efficient performance isolation in multi-core platforms

    Heechul Yun;Gang Yao;R. Pellizzoni;M. Caccamo

  • A Predictable Execution Model for COTS-Based Embedded Systems

    Rodolfo Pellizzoni;Emiliano Betti;Stanley Bak;Gang Yao

  • Real-time cache management framework for multi-core architectures

    R. Mancuso;R. Dudko;E. Betti;M. Cesati

  • Worst case delay analysis for memory interference in multicore systems

    Rodolfo Pellizzoni;Andreas Schranzhofer;Jian-Jia Chen;Marco Caccamo

  • Memory Access Control in Multiprocessor for Real-Time Systems with Mixed Criticality

    Heechul Yun;Gang Yao;Rodolfo Pellizzoni;Marco Caccamo

  • Capacity sharing for overrun control

    M. Caccamo;G. Buttazzo;Lui Sha

  • Multi-UAV Path Planning for Wireless Data Harvesting With Deep Reinforcement Learning

    Harald Bayerlein;Mirco Theile;Marco Caccamo;David Gesbert

  • UAV Coverage Path Planning under Varying Power Constraints using Deep Reinforcement Learning

    Mirco Theile;Harald Bayerlein;Richard Nai;David Gesbert

  • Impact of Cache Partitioning on Multi-tasking Real Time Embedded Systems

    B.D. Bui;M. Caccamo;Lui Sha;J. Martinez

  • The System-Level Simplex Architecture for Improved Real-Time Embedded System Safety

    Stanley Bak;Deepti K. Chivukula;Olugbemiga Adekunle;Mu Sun

  • I-Living: An Open System Architecture for Assisted Living

    Qixin Wang;Wook Shin;Xue Liu;Zheng Zeng

  • Memory-centric scheduling for multicore hard real-time systems

    Gang Yao;Rodolfo Pellizzoni;Stanley Bak;Emiliano Betti

  • Hardware Runtime Monitoring for Dependable COTS-Based Real-Time Embedded Systems

    R. Pellizzoni;P. Meredith;M. Caccamo;G. Rosu

  • S3A: secure system simplex architecture for enhanced security and robustness of cyber-physical systems

    Sibin Mohan;Stanley Bak;Emiliano Betti;Heechul Yun

  • Elastic feedback control

    M. Caccamo;G. Buttazzo;Lui Sha

  • Efficient reclaiming in reservation-based real-time systems with variable execution times

    M. Caccamo;G.C. Buttazzo;D.C. Thomas

  • Coscheduling of CPU and I/O Transactions in COTS-Based Embedded Systems

    R. Pellizzoni;B.D. Bui;M. Caccamo;Lui Sha

  • Real-Time Reachability for Verified Simplex Design

    Stanley Bak;Taylor T. Johnson;Marco Caccamo;Lui Sha

Frequent Co-Authors

Lui Sha
Lui Sha University of Illinois at Urbana-Champaign
Rodolfo Pellizzoni
Rodolfo Pellizzoni University of Waterloo
Giorgio Buttazzo
Giorgio Buttazzo Sant'Anna School of Advanced Studies
Xue Liu
Xue Liu McGill University
Lothar Thiele
Lothar Thiele ETH Zurich
Giuseppe Lipari
Giuseppe Lipari University of Lille
Marko Bertogna
Marko Bertogna University of Modena and Reggio Emilia
Luca Abeni
Luca Abeni Sant'Anna School of Advanced Studies
Jennifer C. Hou
Jennifer C. Hou University of Illinois at Urbana-Champaign

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