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Kuldip K. Paliwal

Kuldip K. Paliwal

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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
68
Citations
28025
World Ranking
2034
National Ranking
62

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Kuldip K. Paliwal is affiliated with Griffith University in Australia and has contributed extensively to fields encompassing Biochemistry, Genetics and Molecular Biology, Computer Science, and Engineering. Their research addresses multiple intersecting domains, including Molecular Biology, Signal Processing, Cognitive Neuroscience, Computational Mechanics, and Artificial Intelligence.

The scientist's work spans several main research topics such as Speech and Audio Processing, Hearing Loss and Rehabilitation, RNA and protein synthesis mechanisms, Advanced Adaptive Filtering Techniques, Machine Learning in Bioinformatics, Genomics and Phylogenetic Studies, and RNA modifications and cancer.

Recent publications by Kuldip K. Paliwal include diverse contributions to both bioinformatics and speech processing:

  • DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation (2020, IEEE/ACM Transactions on Audio Speech and Language Processing)
  • Improved RNA secondary structure and tertiary base-pairing prediction using evolutionary profile, mutational coupling and two-dimensional transfer learning (2021, Bioinformatics)
  • Masked multi-head self-attention for causal speech enhancement (2020, Speech Communication)
  • SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model (2022, Bioinformatics)
  • CAID prediction portal: a comprehensive service for predicting intrinsic disorder and binding regions in proteins (2023, Nucleic Acids Research)

The researcher frequently publishes in notable venues including Bioinformatics, IEEE Access, The Journal of the Acoustical Society of America, bioRxiv (Cold Spring Harbor Laboratory), and arXiv (Cornell University).

Collaboration is an integral part of their scholarly activity, with regular co-authors such as Yaoqi Zhou, Aaron Nicolson, Jaswinder Singh, Thomas Litfin, and Jaspreet Singh.

Best Publications

  • Bidirectional recurrent neural networks

    M. Schuster;K.K. Paliwal

  • Efficient vector quantization of LPC parameters at 24 bits/frame

    K.K. Paliwal;B.S. Atal

  • Speech Coding and Synthesis

    W. B. Kleijn;K. K. Paliwal

  • A speech enhancement method based on Kalman filtering

    K. Paliwal;A. Basu

  • Capturing non-local interactions by long short-term memory bidirectional recurrent neural networks for improving prediction of protein secondary structure, backbone angles, contact numbers and solvent accessibility.

    Rhys Heffernan;Yuedong Yang;Kuldip K. Paliwal;Yaoqi Zhou

  • The importance of phase in speech enhancement

    Kuldip Paliwal;Kamil Wójcicki;Benjamin Shannon

  • RNA secondary structure prediction using an ensemble of two-dimensional deep neural networks and transfer learning.

    Jaswinder Singh;Jack Hanson;Kuldip Paliwal;Yaoqi Zhou

  • Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning.

    Rhys Heffernan;Kuldip Paliwal;James Lyons;Abdollah Dehzangi

  • Feature extraction and dimensionality reduction algorithms and their applications in vowel recognition

    Xuechuan Wang;Kuldip Kumar Paliwal

  • Improving protein disorder prediction by deep bidirectional long short-term memory recurrent neural networks.

    Jack Hanson;Yuedong Yang;Kuldip K. Paliwal;Yaoqi Zhou

  • Linear discriminant analysis for the small sample size problem: an overview

    Alok Sharma;Alok Sharma;Kuldip Kumar Paliwal

  • Automatic Speech and Speaker Recognition: Advanced Topics

    Chin-Hui Lee;Frank K. Soong;Kuldip K. Paliwal

  • Sixty-five years of the long march in protein secondary structure prediction: the final stretch?

    Yuedong Yang;Jianzhao Gao;Jihua Wang;Rhys Heffernan

  • Gram-positive and Gram-negative protein subcellular localization by incorporating evolutionary-based descriptors into Chou׳s general PseAAC

    Abdollah Dehzangi;Abdollah Dehzangi;Rhys Heffernan;Alok Sharma;Alok Sharma;James Lyons

  • Fast principal component analysis using fixed-point algorithm

    Alok Sharma;Kuldip K. Paliwal

  • Single-channel speech enhancement using spectral subtraction in the short-time modulation domain

    Kuldip Paliwal;Kamil Wójcicki;Belinda Schwerin

  • Spectral subband centroid features for speech recognition

    K.K. Paliwal

  • Identity verification using speech and face information

    Conrad Sanderson;Conrad Sanderson;Kuldip Kumar Paliwal

  • Improving prediction of protein secondary structure, backbone angles, solvent accessibility and contact numbers by using predicted contact maps and an ensemble of recurrent and residual convolutional neural networks

    Jack Hanson;Kuldip K. Paliwal;Thomas Litfin;Yuedong Yang

  • Fast features for face authentication under illumination direction changes

    Conrad Sanderson;Kuldip K. Paliwal

  • Information Fusion and Person Verification Using Speech & Face Information

    Conrad Sanderson;Kuldip K. Paliwal

Frequent Co-Authors

Alok Sharma
Alok Sharma Griffith University
Abdollah Dehzangi
Abdollah Dehzangi Rutgers, The State University of New Jersey
Abdul Sattar
Abdul Sattar Griffith University
Yaoqi Zhou
Yaoqi Zhou Griffith University
Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation
Yuedong Yang
Yuedong Yang Sun Yat-sen University
Satoshi Nakamura
Satoshi Nakamura Nara Institute of Science and Technology
Satoru Miyano
Satoru Miyano Tokyo Medical and Dental University
Michiel Bacchiani
Michiel Bacchiani Google (United States)
Tatsuhiko Tsunoda
Tatsuhiko Tsunoda University of Tokyo

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