World's Best Scientists 2026 revealed!
Praveen Kumar Reddy Maddikunta

Praveen Kumar Reddy Maddikunta

Award Badge
Rising Stars
2025

D-Index & Metrics

Rising Stars

D-Index
44
Citations
7647
World Ranking
487
National Ranking
20

Computer Science

D-Index
47
Citations
10169
World Ranking
6432
National Ranking
64

Research.com Recognitions

  • 2025 - Research.com Rising Stars Award

Overview

Praveen Kumar Reddy Maddikunta is affiliated with Vellore Institute of Technology University in India and has a significant body of work primarily in the fields of computer science and engineering. Their research contributions extend notably into subfields such as computer networks and communications, artificial intelligence, information systems, computer vision and pattern recognition, and electrical and electronic engineering.

The scientist's research centers on key topics including IoT and edge/fog computing, blockchain technology applications and security, privacy-preserving technologies in data, network security and intrusion detection, anomaly detection techniques and applications, advanced malware detection techniques, and COVID-19 diagnosis using AI.

Some of their recent papers include:

  • Industry 5.0: A survey on enabling technologies and potential applications, 2021, Journal of Industrial Information Integration
  • Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges, 2021, IEEE Sensors Journal

In terms of collaborations, Praveen Kumar Reddy Maddikunta frequently coauthors with several researchers in the domain:

  • Thippa Reddy Gadekallu
  • Sweta Bhattacharya
  • Quoc-Viet Pham
  • Gautam Srivastava
  • Mamoun Alazab

The scientist publishes actively across various venues, with notable frequent publication outlets including:

  • arXiv (Cornell University)
  • IEEE Access
  • Electronics
  • Computer Communications
  • IEEE Internet of Things Journal

The topics tackled in their work reflect interdisciplinary approaches, combining advanced techniques in AI, network communication protocols, and security frameworks to address emerging challenges in connected systems and data privacy.

Best Publications

  • Industry 5.0: A survey on enabling technologies and potential applications

    Praveen Kumar Reddy Maddikunta;Quoc-Viet Pham;Prabadevi B;N Deepa

  • Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges

    Praveen Kumar Reddy Maddikunta;Saqib Hakak;Mamoun Alazab;Sweta Bhattacharya

  • Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions

    Unknown

  • An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

    R M Swarna Priya;Praveen Kumar Reddy Maddikunta;M Parimala;Srinivas Koppu

  • An ensemble machine learning approach through effective feature extraction to classify fake news

    Saqib Hakak;Mamoun Alazab;Suleman Khan;Thippa Reddy Gadekallu

  • Federated Learning enabled Digital Twins for smart cities: Concepts, recent advances, and future directions

    Unknown

  • A Novel PCA-Firefly Based XGBoost Classification Model for Intrusion Detection in Networks Using GPU

    Sweta Bhattacharya;Siva Rama Krishnan S;Praveen Kumar Reddy Maddikunta;Rajesh Kaluri

  • Early detection of diabetic retinopathy using pca-firefly based deep learning model

    Thippa Reddy Gadekallu;Neelu Khare;Sweta Bhattacharya;Saurabh Singh

  • Federated learning for smart cities: A comprehensive survey

    Unknown

  • Federated Learning for Cybersecurity: Concepts, Challenges and Future Directions

    Mamoun Alazab;Swarna Priya R M;Parimala M;Praveen Reddy

  • Deep neural networks to predict diabetic retinopathy

    Thippa Reddy Gadekallu;Neelu Khare;Sweta Bhattacharya;Saurabh Singh

  • A metaheuristic optimization approach for energy efficiency in the IoT networks

    Celestine Iwendi;Praveen Kumar Reddy Maddikunta;Thippa Reddy Gadekallu;Kuruva Lakshmanna

  • Cyberbullying detection solutions based on deep learning architectures

    Celestine Iwendi;Gautam Srivastava;Gautam Srivastava;Suleman Khan;Praveen Kumar Reddy Maddikunta

  • Hand gesture classification using a novel CNN-crow search algorithm

    Thippa Reddy Gadekallu;Mamoun Alazab;Rajesh Kaluri;Praveen Kumar Reddy Maddikunta

  • A survey on Zero touch network and Service Management (ZSM) for 5G and beyond networks

    Unknown

  • Digital Twins for Healthcare 4.0—Recent Advances, Architecture, and Open Challenges

    Unknown

  • Security and privacy of UAV data using blockchain technology

    Rupa Ch;Gautam Srivastava;Gautam Srivastava;Thippa Reddy Gadekallu;Praveen Kumar Reddy Maddikunta

  • Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction

    J.D. Bodapati;N. Veeranjaneyulu;S.N. Shareef;S. Hakak

  • Multi-objective cluster head selection using fitness averaged rider optimization algorithm for IoT networks in smart cities

    Mamoun Alazab;Kuruva Lakshmanna;Thippa Reddy G;Quoc Viet Pham

  • An AI?based intelligent system for healthcare analysis using Ridge?Adaline Stochastic Gradient Descent Classifier

    Natarajan Deepa;B. Prabadevi;Praveen Kumar Reddy Maddikunta;Thippa Reddy Gadekallu

  • Load balancing of energy cloud using wind driven and firefly algorithms in internet of everything

    R M Swarna Priya;Sweta Bhattacharya;Praveen Kumar Reddy Maddikunta;Siva Rama Krishnan Somayaji

  • Green communication in IoT networks using a hybrid optimization algorithm

    Praveen Kumar Reddy Maddikunta;Thippa Reddy Gadekallu;Rajesh Kaluri;Gautam Srivastava;Gautam Srivastava

  • A review on deep learning for future smart cities

    Sweta Bhattacharya;Siva Rama Krishnan Somayaji;Thippa Reddy Gadekallu;Mamoun Alazab

  • Predictive model for battery life in IoT networks

    Praveen Kumar Reddy Maddikunta;Gautam Srivastava;Thippa Reddy Gadekallu;Natarajan Deepa

  • Comparative analysis of machine learning algorithms for prediction of smart grid stability

    Ali Kashif Bashir;Suleman Khan;B Prabadevi;N Deepa

  • Antlion re-sampling based deep neural network model for classification of imbalanced multimodal stroke dataset

    Thippa Reddy G;Sweta Bhattacharya;Praveen Kumar Reddy Maddikunta;Saqib Hakak

Frequent Co-Authors

Thippa Reddy Gadekallu
Thippa Reddy Gadekallu Zhejiang A & F University
Gautam Srivastava
Gautam Srivastava Brandon University
Mamoun Alazab
Mamoun Alazab Charles Darwin University
Quoc-Viet Pham
Quoc-Viet Pham Trinity College Dublin
Md. Jalil Piran
Md. Jalil Piran Sejong University
Abdulrahman Al-Ahmari
Abdulrahman Al-Ahmari King Saud University
Ali Kashif Bashir
Ali Kashif Bashir Manchester Metropolitan University
Reza M. Parizi
Reza M. Parizi Kennesaw State University
Thar Baker
Thar Baker Liverpool John Moores University

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