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Thiagalingam Kirubarajan

Thiagalingam Kirubarajan

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
63
Citations
29159
World Ranking
2679
National Ranking
99

Electronics and Electrical Engineering

D-Index
63
Citations
29166
World Ranking
1330
National Ranking
70

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Thiagalingam Kirubarajan is affiliated with McMaster University in Canada and has a significant publication record in the fields of Engineering and Computer Science. Their work encompasses 56 publications in Engineering and 49 in Computer Science, with a focus on areas such as Artificial Intelligence, Aerospace Engineering, and Computer Vision and Pattern Recognition.

Their research subfields include:

  • Artificial Intelligence
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Ocean Engineering

Kirubarajan's main topics of research cover:

  • Target Tracking and Data Fusion in Sensor Networks
  • Robotic Path Planning Algorithms
  • Guidance and Control Systems
  • Infrared Target Detection Methodologies
  • Advanced Measurement and Detection Methods
  • Underwater Acoustics Research
  • Indoor and Outdoor Localization Technologies

The scientist has contributed multiple papers to notable venues. Frequent publication venues include:

  • IEEE Transactions on Aerospace and Electronic Systems
  • SSRN Electronic Journal
  • arXiv (Cornell University)
  • Signal Processing
  • IEEE Transactions on Intelligent Transportation Systems

Recent papers by Kirubarajan cover a range of topics related to aerospace systems, surveillance, and image clustering, such as:

  • Underwater Target Tracking in Uncertain Multipath Ocean Environments (2020), published in IEEE Transactions on Aerospace and Electronic Systems
  • Airborne Maritime Surveillance Using Magnetic Anomaly Detection Signature (2020), published in IEEE Transactions on Aerospace and Electronic Systems
  • Reward Factor-Based Multiple Agile Satellites Scheduling With Energy and Memory Constraints (2022), published in IEEE Transactions on Aerospace and Electronic Systems
  • Consensus and Complementary Regularized Non-negative Matrix Factorization for Multi-view Image Clustering (2022), published in Information Sciences
  • MILP Formulation for Aircraft Path Planning in Persistent Surveillance (2020), published in IEEE Transactions on Aerospace and Electronic Systems

Frequent co-authors associated with Kirubarajan include:

  • Thiagalingam Kirubarajan
  • T. Kirubarajan
  • Dan Song
  • D. Richard Brown
  • Nikhil Sharma

Best Publications

  • Estimation with Applications to Tracking and Navigation: Theory, Algorithms, and Software

    Yaakov Bar-Shalom;T. Kirubarajan;Xiao Rong Li

  • Estimation with Applications to Tracking and Navigation

    Yaakov Bar-Shalom;Thiagalingam Kirubarajan;X.-Rong Li

  • Ground target tracking with variable structure IMM estimator

    T. Kirubarajan;Y. Bar-Shalom;K.R. Pattipati;I. Kadar

  • Probabilistic data association techniques for target tracking in clutter

    T. Kirubarajan;Y. Bar-Shalom

  • IMMPDAF for radar management and tracking benchmark with ECM

    T. Kirubarajan;Y. Bar-Shalom;W.D. Blair;G.A. Watson

  • Performance limits of track-to-track fusion versus centralized estimation: theory and application [sensor fusion]

    Huimin Chen;T. Kirubarajan;Y. Bar-Shalom

  • Multisensor resource deployment using posterior Cramer-Rao bounds

    M.L. Hernandez;T. Kirubarajan;Y. Bar-Shalom

  • Low observable target motion analysis using amplitude information

    T. Kirubarajan;Y. Bar-Shalom

  • Benchmark for radar allocation and tracking in ECM

    W.D. Blair;G.A. Watson;T. Kirubarajan;Y. Bar-Shalom

  • Multiple-model probability hypothesis density filter for tracking maneuvering targets

    K. Punithakumar;T. Kirubarajan;A. Sinha

  • Comparison of EKF, pseudomeasurement, and particle filters for a bearing-only target tracking problem

    Xiangdong Lin;Thiagalingam Kirubarajan;Yaakov Bar-Shalom;Simon Maskell

  • Exact multisensor dynamic bias estimation with local tracks

    Xiangdong Lin;Y. Bar-Shalom;T. Kirubarajan

  • Kalman filter versus IMM estimator: when do we need the latter?

    T. Kirubarajan;Y. Bar-Shalom

  • A Multiple-Detection Joint Probabilistic Data Association Filter

    B. Habtemariam;R. Tharmarasa;T. Thayaparan;M. Mallick

  • Precision large scale air traffic surveillance using IMM/assignment estimators

    H. Wang;T. Kirubarajan;Y. Bar-Shalom

  • Multisensor multitarget bias estimation for general asynchronous sensors

    X. Lin;Y. Bar-Shalom;T. Kirubarajan

  • Track labeling and PHD filter for multitarget tracking

    L. Lin;Y. Bar-Shalom;T. Kirubarajan

  • Tracking with classification-aided multiframe data association

    Y. Bar-Shalom;T. Kirubarajan;C. Gokberk

  • Joint Node Selection and Power Allocation Strategy for Multitarget Tracking in Decentralized Radar Networks

    Mingchi Xie;Wei Yi;Thia Kirubarajan;Lingjiang Kong

  • Multiassignment for tracking a large number of overlapping objects [and application to fibroblast cells]

    T. Kirubarajan;Y. Bar-Shalom;K.R. Pattipati

  • A Multiple Model Probability hypothesis density filter for tracking maneuvering targets

    Kumaradevan Punithakumar;Thiagalingam Kirubarajan;Abhijit Sinha

Frequent Co-Authors

Yaakov Bar-Shalom
Yaakov Bar-Shalom University of Connecticut
Krishna R. Pattipati
Krishna R. Pattipati University of Connecticut
X. Rong Li
X. Rong Li University of New Orleans
Peter Willett
Peter Willett University of Connecticut
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt
Hing Cheung So
Hing Cheung So City University of Hong Kong
Shahram Shahbazpanahi
Shahram Shahbazpanahi University of Ontario Institute of Technology
Ligang Wu
Ligang Wu Harbin Institute of Technology
Simon Haykin
Simon Haykin McMaster University
Alfonso Farina
Alfonso Farina Finmeccanica (Italy)

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