World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
75
Citations
28173
World Ranking
1389
National Ranking
721

Research.com Recognitions

  • 2016 - IEEE Simon Ramo Medal “For technical leadership and contributions to fundamental theory, practice, and standardization for engineering real-time systems.”
  • 2016 - Fellow, National Academy of Inventors
  • 2007 - ACM Distinguished Member

Overview

Ragunathan Rajkumar is affiliated with Carnegie Mellon University in the United States. Their research spans multiple fields, primarily focusing on Engineering and Computer Science, with notable contributions to Electrical and Electronic Engineering, Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, and Artificial Intelligence.

Their work addresses a variety of topics centered on vehicular technology and control systems. Main topics of Rajkumar's research include:

  • Vehicular Ad Hoc Networks (VANETs)
  • Autonomous Vehicle Technology and Safety
  • Traffic Control and Management
  • Advanced Neural Network Applications
  • 3D Surveying and Cultural Heritage
  • Automated Road and Building Extraction
  • Human Pose and Action Recognition

Some of the recent papers by Ragunathan Rajkumar highlight contributions to autonomous vehicles, cooperative perception, and vehicle localization technology:

  • "Human-Robot Cooperation for Autonomous Vehicles and Human Drivers: Challenges and Solutions," 2021, IEEE Communications Magazine
  • "Safe Intersection Management With Cooperative Perception for Mixed Traffic of Human-Driven and Autonomous Vehicles," 2022, IEEE Open Journal of Vehicular Technology
  • "Extended VINS-Mono: A Systematic Approach for Absolute and Relative Vehicle Localization in Large-Scale Outdoor Environments," 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • "Cyber Traffic Light: Safe Cooperation for Autonomous Vehicles at Dynamic Intersections," 2022, IEEE Transactions on Intelligent Transportation Systems
  • "Time-Sensitive Cooperative Perception for Real-Time Data Sharing over Vehicular Communications: Overview, Challenges, and Future Directions," 2022, IEEE Internet of Things Magazine

Throughout their career, Rajkumar has frequently collaborated with several researchers. The most common coauthors include:

  • Shunsuke Aoki
  • Mengwen He
  • Weijing Shi
  • Anand Bhat
  • Chung-Wei Lin

Rajkumar's research has appeared in diverse publication venues reflecting a focus on transportation systems and intelligent vehicles technology. Key venues include:

  • arXiv (Cornell University)
  • 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
  • IEEE Communications Magazine
  • IEEE Open Journal of Vehicular Technology
  • IEEE Transactions on Intelligent Transportation Systems

Recognition for Rajkumar's work includes several professional honors such as:

  • IEEE Simon Ramo Medal in 2016 for technical leadership and contributions to real-time systems engineering theory, practice, and standardization
  • Fellow of the National Academy of Inventors in 2016
  • ACM Distinguished Member since 2007

Best Publications

  • Priority inheritance protocols: an approach to real-time synchronization

    L. Sha;R. Rajkumar;J.P. Lehoczky

  • Cyber-physical systems: the next computing revolution

    Ragunathan (Raj) Rajkumar;Insup Lee;Lui Sha;John Stankovic

  • Autonomous driving in urban environments: Boss and the Urban Challenge

    Chris Urmson;Joshua Anhalt;Drew Bagnell;Christopher Baker

  • Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

    Weijing Shi;Raj Rajkumar

  • A resource allocation model for QoS management

    R. Rajkumar;C. Lee;J. Lehoczky;D. Siewiorek

  • Real-time synchronization protocols for multiprocessors

    R. Rajkumar;L. Sha;J.P. Lehoczky

  • A multi-sensor fusion system for moving object detection and tracking in urban driving environments

    Hyunggi Cho;Young-Woo Seo;B.V.K. Vijaya Kumar;Ragunathan Raj Rajkumar

  • Resource kernels: a resource-centric approach to real-time and multimedia systems

    Raj Rajkumar;Kanaka Juvva;Anastasio Molano;Shuichi Oikawa

  • Synchronization in Real-Time Systems: A Priority Inheritance Approach

    Ragunathan Rajkumar

  • SOLUTIONS FOR SOME PRACTICAL PROBLEMS IN PRIORITIZED PREEMPTIVE SCHEDULING.

    Lui Sha;John P. Lehoczky;Ragunathan Rajkumar

  • Towards a viable autonomous driving research platform

    Junqing Wei;Jarrod M. Snider;Junsung Kim;John M. Dolan

  • Generalized rate-monotonic scheduling theory: a framework for developing real-time systems

    Lui Sha;R. Rajkumar;S.S. Sathaye

  • TimeGraph: GPU scheduling for real-time multi-tasking environments

    Shinpei Kato;Karthik Lakshmanan;Ragunathan Rajkumar;Yutaka Ishikawa

  • Scheduling Parallel Real-Time Tasks on Multi-core Processors

    Karthik Lakshmanan;Shinpei Kato;Ragunathan (Raj) Rajkumar

  • Critical power slope: understanding the runtime effects of frequency scaling

    Akihiko Miyoshi;Charles Lefurgy;Eric Van Hensbergen;Ram Rajamony

  • A scalable solution to the multi-resource QoS problem

    C. Lee;J. Lehoczky;D. Siewiorek;R. Rajkumar

  • Real-time synchronization protocols for shared memory multiprocessors

    R. Rajkumar

  • Nano-RK: an energy-aware resource-centric RTOS for sensor networks

    A. Eswaran;A. Rowe;R. Rajkumar

  • U-connect: a low-latency energy-efficient asynchronous neighbor discovery protocol

    Arvind Kandhalu;Karthik Lakshmanan;Ragunathan (Raj) Rajkumar

  • On quality of service optimization with discrete QoS options

    Chen Lee;J. Lehoezky;R. Rajkumar;D. Siewiorek

  • The Simplex Reference Model: Limiting Fault-Propagation Due to Unreliable Components in Cyber-Physical System Architectures

    T.L. Crenshaw;E. Gunter;C.L. Robinson;Lui Sha

Frequent Co-Authors

John P. Lehoczky
John P. Lehoczky Carnegie Mellon University
Lui Sha
Lui Sha University of Illinois at Urbana-Champaign
Anthony Rowe
Anthony Rowe Carnegie Mellon University
Rahul Mangharam
Rahul Mangharam University of Pennsylvania
Eduardo Tovar
Eduardo Tovar Instituto Superior de Engenharia do Porto
Yutaka Ishikawa
Yutaka Ishikawa University of Tokyo
Farnam Jahanian
Farnam Jahanian Carnegie Mellon University
Sofie Pollin
Sofie Pollin KU Leuven
Marc Bodson
Marc Bodson University of Utah
Luis Almeida
Luis Almeida University of Porto

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

If you’re considering a Computer Science degree in the USA, there are several related online pathways that can boost your career prospects. Many students explore specialized graduate programs such as an online master’s in electrical engineering degree, which blends theoretical and practical knowledge and opens up opportunities in tech-heavy industries.

For those looking to quickly enhance their resume, shorter programs like easy certifications that pay well can offer a fast track to in-demand skills. These certifications are ideal if you’re aiming for entry-level roles or a career switch without the time or expense of a full degree.

Time-conscious professionals can also explore the fastest masters degree online programs, which allow you to upgrade your qualifications in as little as a year. Before committing, it’s worth researching the most worthwhile masters degrees to ensure your investment aligns with dynamic tech industry trends and employer demand.

Best Scientists Citing Ragunathan Rajkumar

Trending Scientists