World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
12981
World Ranking
6700
National Ranking
88

Research.com Recognitions

  • 1996 - IEEE Fellow For technical leadership in the indigenous design and development of India's satellite launch vehicles and for contributions to the development of aerospace systems.

Overview

Narasimhan Sundararajan is affiliated with Nanyang Technological University in Singapore. Their research primarily focuses on engineering and computer science, with significant contributions in aerospace engineering, control and systems engineering, and computer vision and pattern recognition. The main topics covered in their work include guidance and control systems, robotic path planning algorithms, distributed control multi-agent systems, aerospace and aviation technology, remote-sensing image classification, autonomous vehicle technology and safety, and adaptive control of nonlinear systems.

The scientist has published extensively in various academic venues. Frequent publication platforms include:

  • arXiv (Cornell University)
  • Unmanned Systems
  • IFAC Journal of Systems and Control
  • Defence Science Journal
  • SSRN Electronic Journal

Among recent research papers, the following are notable:

  • A Decentralized Multirobot Spatiotemporal Multitask Assignment Approach for Perimeter Defense, 2022, IEEE Transactions on Robotics
  • Dynamic Resource Allocation With Decentralized Multi-Task Assignment Approach for Perimeter Defense Problem, 2022, IEEE Transactions on Aerospace and Electronic Systems
  • Fully Complex-valued Fully Convolutional Multi-feature Fusion Network(FC2MFN) for Building Segmentation of InSAR images, 2022, 2022 IEEE Symposium Series on Computational Intelligence (SSCI)
  • Development of a Novel Transformation of Spiking Neural Classifier to an Interpretable Classifier, 2022, IEEE Transactions on Cybernetics
  • Robust EMRAN-aided coupled controller for autonomous vehicles, 2022, Engineering Applications of Artificial Intelligence

The scientist frequently collaborates with several co-authors. Most frequent collaborators are:

  • Suresh Sundaram
  • Shridhar Velhal
  • Jayabrata Chowdhury
  • Aniruddh Sikdar
  • Sumanth Udupa

Narasimhan Sundararajan's work spans a broad range of interdisciplinary fields. Their engineering expertise is reflected in 53 publications, while they have contributed 23 works in computer science. Subfields of particular focus include aerospace engineering (25 publications), control and systems engineering (12 publications), computer vision and pattern recognition (11 publications), artificial intelligence (7 publications), and computer networks and communications (5 publications).

Recognition in the field includes receiving the IEEE Fellow award in 1996. This honor was granted for technical leadership in the indigenous design and development of India's satellite launch vehicles, as well as for contributions to aerospace systems development.

Best Publications

  • A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks

    Nan-Ying Liang;Guang-Bin Huang;P. Saratchandran;N. Sundararajan

  • A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation

    Guang-Bin Huang;P. Saratchandran;N. Sundararajan

  • A sequential learning scheme for function approximation using minimal radial basis function neural networks

    Lu Yingwei;N. Sundararajan;P. Saratchandran

  • Performance evaluation of a sequential minimal radial basis function (RBF) neural network learning algorithm

    Lu Yingwei;N. Sundararajan;P. Saratchandran

  • An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks

    Guang-Bin Huang;P. Saratchandran;N. Sundararajan

  • Letters: Fully complex extreme learning machine

    Ming-Bin Li;Guang-Bin Huang;P. Saratchandran;N. Sundararajan

  • Sequential Adaptive Fuzzy Inference System (SAFIS) for nonlinear system identification and prediction

    Hai-Jun Rong;N. Sundararajan;Guang-Bin Huang;P. Saratchandran

  • Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems

    Hai-Jun Rong;Guang-Bin Huang;N. Sundararajan;P. Saratchandran

  • Can threshold networks be trained directly

    Guang-Bin Huang;Qin-Yu Zhu;K.Z. Mao;Chee-Kheong Siew

  • Self regulating particle swarm optimization algorithm

    M.R. Tanweer;S. Suresh;N. Sundararajan

  • Classification of mental tasks from EEG signals using extreme learning machine.

    Nan-Ying Liang;Paramasivan Saratchandran;Guang-Bin Huang;Narasimhan Sundararajan

  • Multicategory Classification Using An Extreme Learning Machine for Microarray Gene Expression Cancer Diagnosis

    Runxuan Zhang;Guang-Bin Huang;N. Sundararajan;P. Saratchandran

  • On-Line Sequential Extreme Learning Machine

    Guang-Bin Huang;Nan-Ying Liang;Hai-Jun Rong;Paramasivan Saratchandran

  • Performance enhancement of extreme learning machine for multi-category sparse data classification problems

    S. Suresh;S. Saraswathi;N. Sundararajan

  • Analysis of minimal radial basis function network algorithm for real-time identification of nonlinear dynamic systems

    Y. Li;N. Sundararajan;P. Saratchandran

  • Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks

    Y. Li;N. Sundararajan;P. Saratchandran

  • Communication channel equalization using complex-valued minimal radial basis function neural networks

    Deng Jianping;Narasimhan Sundararajan;P. Saratchandran

  • Risk-sensitive loss functions for sparse multi-category classification problems

    S. Suresh;N. Sundararajan;P. Saratchandran

  • Radial Basis Function Neural Networks With Sequential Learning: Mran and Its Applications

    N Sundararajan;P Saratchandran;Lu Ying Wei

  • A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems

    Kartick Subramanian;Sundaram Suresh;Narasimhan Sundararajan

Frequent Co-Authors

Sundaram Suresh
Sundaram Suresh Indian Institute of Science
Guang-Bin Huang
Guang-Bin Huang Nanyang Technological University
Suresh Sundaram
Suresh Sundaram Indian Institute of Science
Jianliang Wang
Jianliang Wang Beihang University
Saravanamuthu Vigneswaran
Saravanamuthu Vigneswaran University of Technology Sydney
Narasimalu Srikanth
Narasimalu Srikanth Nanyang Technological University
Kezhi Mao
Kezhi Mao Nanyang Technological University

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