World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
46
Citations
6660
World Ranking
3437
National Ranking
189

Overview

Raj Aggarwal is a researcher affiliated with the University of Bath in the United Kingdom. Their academic work spans multiple areas within Computer Science and Engineering, reflecting an interdisciplinary approach to technology and its applications.

The main fields of study for Aggarwal include:

  • Computer Science (4 publications)
  • Engineering (2 publications)

Within these broader domains, Aggarwal has contributed to several specialized subfields, including:

  • Information Systems (2 publications)
  • Computer Networks and Communications (1 publication)
  • Automotive Engineering (1 publication)
  • Control and Systems Engineering (1 publication)
  • Computer Vision and Pattern Recognition (1 publication)

Their research topics cover various technical and applied aspects, such as:

  • Information and Cyber Security (2 publications)
  • Cybercrime and Law Enforcement Studies (2 publications)
  • Network Security and Intrusion Detection (2 publications)
  • Vehicle Dynamics and Control Systems (2 publications)
  • Real-time simulation and control systems (2 publications)
  • Robotic Path Planning Algorithms (2 publications)

Aggarwal has collaborated frequently with other researchers including Meet Kapoor, Suman Madan, and J. Christian Gerdes, indicating a network of partnerships within their research community.

The absence of recently published papers or book publications in the available data does not preclude ongoing research activities but focuses the profile on the key research domains, collaborations, and topics that characterize Aggarwal's academic contributions.

Best Publications

  • Wavelet transforms in power systems. I. General introduction to the wavelet transforms

    Chul Hwan Kim;Raj Aggarwal

  • A Novel Approach to the Classification of the Transient Phenomena in Power Transformers Using Combined Wavelet Transform and Neural Network

    P. L. Mao;R. K. Aggarwal

  • Wavelet transforms in power systems Part 2 Examples of application to actual power system transients

    Chul Hwan Kim;R. Aggarwal

  • Artificial intelligence techniques in power systems

    Kevin Warwick;Arthur Ekwue;Raj Aggarwal

  • An Alternative Approach to Adaptive Single-Pole Auto Reclosing in High-Voltage Transmission Systems Based on Variable Dead Time Control

    Sang-Pil Ahn;Chul-Hwan Kim;R.K. Aggarwal;A.T. Johns

  • An Algorithm for Compensating Secondary Currents of Current Transformers

    Y.C. Kang;J.K. Park;S.H. Kang;A.T. Johns

  • A practical approach to accurate fault location on extra high voltage teed feeders

    R.K. Aggarwal;D.V. Coury;A.T. Johns;A. Kalam

  • Neural-network based adaptive single-pole autoreclosure technique for EHV transmission systems

    R.K. Aggarwal;A.T. Johns;Y.H. Song;R.W. Dunn

  • Performance evaluation of a distance relay as applied to a transmission system with UPFC

    Xiaoyao Zhou;Haifeng Wang;R.K. Aggarwal;P. Beaumont

  • New ANN method for multi-terminal HVDC protection relaying

    Qingqing Yang;Simon Le Blond;Raj Aggarwal;Yawei Wang

  • An overview of the condition monitoring of overhead lines

    R.K Aggarwal;A.T Johns;J.A.S.B Jayasinghe;W Su

  • Discussion of "A novel fault detection technique of high impedance arcing faults in transmission lines using the wavelet transform"

    Chul-Hwan Kim;Hyun Kim;Young-Hun Ko;Sung-Hyun Byun

  • A novel fault classification technique for double-circuit lines based on a combined unsupervised/supervised neural network

    R.K. Aggarwal;Q.Y. Xuan;R.W. Dunn;A.T. Johns

  • Design and implementation of an adapative single pole autoreclosure technique for transmission lines using artificial neural networks

    D.S. Fitton;R.W. Dunn;R.K. Aggarwal;A.T. Johns

  • Analysis of power transformer dissolved gas data using the self-organizing map

    K.F. Thang;R.K. Aggarwal;A.J. McGrail;D.G. Esp

  • New concept in fault location for overhead distribution systems using superimposed components

    R.K. Aggarwal;Y. Aslan;A.T. Johns

  • A New Approach to Phase Selection Using Fault Generated High Frequency Noise and Neural Networks

    Unknown

  • Genetic algorithms for optimal reactive power compensation on the national grid system

    Furong Li;J.D. Pilgrim;C. Dabeedin;A. Chebbo

  • Accurate fault locator for EHV transmission lines based on radial basis function neural networks

    M. Joorabian;S.M.A. Taleghani Asl;R.K. Aggarwal

  • Educational use of EMTP MODELS for the study of a distance relaying algorithm for protecting transmission lines

    Chul-Hwan Kim;Myung-Hee Lee;R.K. Aggarwal;A.T. Johns

  • Combined wavelet transform and regression technique for secondary current compensation of current transformers

    F. Li;Y. Li;R.K. Aggarwal

  • An enhanced zone 3 algorithm of a distance relay using transient components and state diagram

    Chul-Hwan Kim;Jeong-Yong Heo;R.K. Aggarwal

Frequent Co-Authors

Chul-Hwan Kim
Chul-Hwan Kim Sungkyunkwan University
Jianwei Li
Jianwei Li Qingdao University of Science and Technology
Akhtar Kalam
Akhtar Kalam Victoria University
Graeme Burt
Graeme Burt University of Strathclyde
Paul Lewin
Paul Lewin University of Southampton
Zhongdong Wang
Zhongdong Wang University of Manchester
Gilsoo Jang
Gilsoo Jang Korea University

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