World's Best Scientists 2026 revealed!
Priyan Malarvizhi Kumar

Priyan Malarvizhi Kumar

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
34
Citations
4731
World Ranking
874
National Ranking
144

Engineering and Technology

D-Index
36
Citations
5438
World Ranking
8690
National Ranking
2411

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Priyan Malarvizhi Kumar is affiliated with the University of North Texas in the United States. Their primary field of study is Computer Science, with a focus on several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, and Electrical and Electronic Engineering.

Their research encompasses a range of topics, notably IoT and Edge/Fog Computing, Blockchain Technology Applications and Security, Big Data and Business Intelligence, COVID-19 diagnosis using AI, Caching and Content Delivery, Advanced Text Analysis Techniques, and Privacy-Preserving Technologies in Data.

Recent papers authored or coauthored by Kumar include:

  • Artificial intelligence on economic evaluation of energy efficiency and renewable energy technologies (2021), published in Sustainable Energy Technologies and Assessments
  • The technological innovation of hybrid and plug-in electric vehicles for environment carbon pollution control (2020), published in Environmental Impact Assessment Review
  • Environmental planning based on reduce, reuse, recycle and recover using artificial intelligence (2020), published in Environmental Impact Assessment Review
  • Sentiment Analysis on Twitter Data by Using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM) (2021), published in Wireless Personal Communications
  • FDM: Fuzzy-Optimized Data Management Technique for Improving Big Data Analytics (2020), published in IEEE Transactions on Fuzzy Systems

The scientist has frequently collaborated with the following coauthors:

  • Gokulnath Chandra Babu
  • Gunasekaran Manogaran
  • Ching-Hsien Hsu
  • S. Jeeva
  • Usha Devi Gandhi

Kumar's work has appeared repeatedly in several publication venues, among them:

  • Soft Computing
  • Wireless Personal Communications
  • Multimedia Tools and Applications
  • Arabian Journal for Science and Engineering
  • Annals of Operations Research

In addition to journal articles, Kumar has contributed to book publications. One of the documented titles is Towards the Integration of IoT, Cloud and Big Data, published in 2023 by Springer International Publishing.

Best Publications

  • A new architecture of Internet of Things and big data ecosystem for secured smart healthcare monitoring and alerting system

    Gunasekaran Manogaran;R. Varatharajan;Daphne Lopez;Priyan Malarvizhi Kumar

  • Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier

    Priyan Malarvizhi Kumar;S. Lokesh;R. Varatharajan;Gokulnath Chandra Babu

  • A novel three-tier Internet of Things architecture with machine learning algorithm for early detection of heart diseases

    Priyan Malarvizhi Kumar;Usha Devi Gandhi

  • Wearable sensor devices for early detection of Alzheimer disease using dynamic time warping algorithm

    R. Varatharajan;Gunasekaran Manogaran;M. K. Priyan;Revathi Sundarasekar

  • Machine Learning Based Big Data Processing Framework for Cancer Diagnosis Using Hidden Markov Model and GM Clustering

    Gunasekaran Manogaran;V. Vijayakumar;R. Varatharajan;Priyan Malarvizhi Kumar

  • Artificial intelligence on economic evaluation of energy efficiency and renewable energy technologies

    Cheng Chen;Yuhan Hu;Marimuthu Karuppiah;Priyan Malarvizhi Kumar

  • The technological innovation of hybrid and plug-in electric vehicles for environment carbon pollution control

    Jianyu Zhao;Xi Xi;Qi Na;Shanshan Wang

  • Environmental planning based on reduce, reuse, recycle and recover using artificial intelligence

    Kan Hua Yu;Yue Zhang;Danni Li;Carlos Enrique Montenegro-Marin

  • Intelligent face recognition and navigation system using neural learning for smart security in Internet of Things

    Priyan Malarvizhi Kumar;Ushadevi Gandhi;R. Varatharajan;Gunasekaran Manogaran

  • Segmentation by Fractional Order Darwinian Particle Swarm Optimization Based Multilevel Thresholding and Improved Lossless Prediction Based Compression Algorithm for Medical Images

    A. Ahilan;Gunasekaran Manogaran;C. Raja;Seifedine Kadry

  • Ant colony optimization algorithm with Internet of Vehicles for intelligent traffic control system

    Priyan Malarvizhi Kumar;Usha Devi G;Gunasekaran Manogaran;Revathi Sundarasekar

  • A novel Gini index decision tree data mining method with neural network classifiers for prediction of heart disease

    K. Mathan;Priyan Malarvizhi Kumar;Parthasarathy Panchatcharam;Gunasekaran Manogaran

  • Machine Learning Approach-Based Gamma Distribution for Brain Tumor Detection and Data Sample Imbalance Analysis

    Gunasekaran Manogaran;P. Mohamed Shakeel;Azza S. Hassanein;Priyan Malarvizhi Kumar

  • An efficient anonymous mutual authentication technique for providing secure communication in mobile cloud computing for smart city applications

    Subramani Jegadeesan;Maria Azees;Priyan Malarvizhi Kumar;Gunasekaran Manogaran

  • Sentiment Analysis on Twitter Data by Using Convolutional Neural Network (CNN) and Long Short Term Memory (LSTM)

    Usha Devi Gandhi;Priyan Malarvizhi Kumar;Gokulnath Chandra Babu;Gayathri Karthick

  • An Automatic Tamil Speech Recognition system by using Bidirectional Recurrent Neural Network with Self-Organizing Map

    S. Lokesh;Priyan Malarvizhi Kumar;M. Ramya Devi;P. Parthasarathy

  • Visual analysis of geospatial habitat suitability model based on inverse distance weighting with paired comparison analysis

    R. Varatharajan;Gunasekaran Manogaran;M. K. Priyan;Valentina E. Balaş

  • An adaptive decision based kriging interpolation algorithm for the removal of high density salt and pepper noise in images

    R. Varatharajan;K. Vasanth;M. Gunasekaran;M. Priyan

  • Enhanced DTLS with CoAP-based authentication scheme for the internet of things in healthcare application

    Priyan Malarvizhi Kumar;Usha Devi Gandhi

  • A New Representation of Intuitionistic Fuzzy Systems and Their Applications in Critical Decision Making

    Le Hoang Son;Roan Thi Ngan;Mumtaz Ali;Hamido Fujita

  • FDM: Fuzzy-Optimized Data Management Technique for Improving Big Data Analytics

    Gunasekaran Manogaran;P. Mohamed Shakeel;S. Baskar;Ching-Hsien Hsu

Frequent Co-Authors

Gunasekaran Manogaran
Gunasekaran Manogaran University of California, Davis
Ching-Hsien Hsu
Ching-Hsien Hsu Asia University Taiwan
Seifedine Kadry
Seifedine Kadry Lebanese American University
Gautam Srivastava
Gautam Srivastava Brandon University
Choong Seon Hong
Choong Seon Hong Kyung Hee University
Mamoun Alazab
Mamoun Alazab Charles Darwin University
Naveen Chilamkurti
Naveen Chilamkurti La Trobe University
Hari Mohan Pandey
Hari Mohan Pandey Bournemouth University
Marimuthu Karuppiah
Marimuthu Karuppiah Presidency University
Ali Kashif Bashir
Ali Kashif Bashir Manchester Metropolitan University

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