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Pubudu N. Pathirana

Pubudu N. Pathirana

D-Index & Metrics

Computer Science

D-Index
40
Citations
10536
World Ranking
9100
National Ranking
282

Mechanical and Aerospace Engineering

D-Index
34
Citations
7982
World Ranking
2770
National Ranking
96

Overview

Pubudu N. Pathirana is affiliated with Deakin University in Australia and has a significant body of work in the field of computer science. Their research spans various specialized areas, including artificial intelligence, information systems, and computer networks and communications, with additional contributions linked to cellular and molecular neuroscience and neurology.

The scientist's publications extensively cover topics such as privacy-preserving technologies in data, blockchain technology applications and security, IoT and edge/fog computing, genetic neurodegenerative diseases, COVID-19 diagnosis using AI, anomaly detection techniques and applications, and cryptography and data security.

Frequent collaborators who have coauthored numerous papers with Pubudu N. Pathirana include:

  • Dinh C. Nguyen
  • Aruna Seneviratne
  • Ming Ding
  • Malcolm Horne
  • David J. Szmulewicz

They have contributed regularly to a number of well-known publication venues, including:

  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Access
  • IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • Journal of Network and Computer Applications

Key recent publications by Pubudu N. Pathirana include:

  • "6G Internet of Things: A Comprehensive Survey," 2021, IEEE Internet of Things Journal
  • "Federated Learning for Smart Healthcare: A Survey," 2022, ACM Computing Surveys
  • "A survey on blockchain for big data: Approaches, opportunities, and future directions," 2022, Future Generation Computer Systems
  • "Blockchain for 5G and beyond networks: A state of the art survey," 2020, Journal of Network and Computer Applications
  • "Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts," 2020, IEEE Access

Their work involves a strong focus on integrating emerging technologies such as blockchain and artificial intelligence with applications in healthcare and communication networks. The diversity of subfields, such as artificial intelligence and molecular neuroscience, reflect an interdisciplinary approach in their research portfolio. The scientist's contribution includes both survey articles and application-driven studies that address modern challenges in data privacy, network security, smart healthcare, and pandemic-related AI solutions.

Best Publications

  • Federated Learning for Internet of Things: A Comprehensive Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • 6G Internet of Things: A Comprehensive Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • 6G Internet of Things: A Comprehensive Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • Federated Learning for Smart Healthcare: A Survey

    Unknown

  • Blockchain for Secure EHRs Sharing of Mobile Cloud Based E-Health Systems

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Optimality analysis of sensor-target localization geometries

    Adrian N. Bishop;Barış Fidan;Brian D. O. Anderson;Kutluyıl Doğançay

  • A Survey on Blockchain for Big Data: Approaches, Opportunities, and Future Directions.

    Natarajan Deepa;Quoc-Viet Pham;Dinh C. Nguyen;Sweta Bhattacharya

  • Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges

    Dinh C. Nguyen;Ming Ding;Quoc-Viet Pham;Pubudu N. Pathirana

  • Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

    Quoc-Viet Pham;Dinh C. Nguyen;Thien Huynh-The;Won-Joo Hwang

  • Blockchain for 5G and beyond networks: A state of the art survey

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Node localization using mobile robots in delay-tolerant sensor networks

    P.N. Pathirana;N. Bulusu;A.V. Savkin;S. Jha

  • Privacy-Preserved Task Offloading in Mobile Blockchain With Deep Reinforcement Learning

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Blockchain and AI-Based Solutions to Combat Coronavirus (COVID-19)-Like Epidemics: A Survey

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges

    Dinh C Nguyen;Pubudu N Pathirana;Ming Ding;Aruna Seneviratne

  • Blockchain for Edge of Things: Applications, Opportunities, and Challenges

    Thippa Reddy Gadekallu;Quoc-Viet Pham;Dinh C. Nguyen;Praveen Kumar Reddy Maddikunta

  • Bearing-Only Localization using Geometrically Constrained Optimization

    A.N. Bishop;B.D.O. Anderson;B. Fidan;P.N. Pathirana

  • Discrete Wirtinger-based inequality and its application

    Phan Thanh Nam;Pubudu N. Pathirana;Hieu Trinh

  • Monitoring and Analysis of Respiratory Patterns Using Microwave Doppler Radar

    Yee Siong Lee;Pubudu N. Pathirana;Christopher Louis Steinfort;Terry Caelli

  • BEdgeHealth: A Decentralized Architecture for Edge-Based IoMT Networks Using Blockchain

    Dinh C. Nguyen;Pubudu N. Pathirana;Ming Ding;Aruna Seneviratne

  • Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing

    Dinh C. Nguyen;Ming Ding;Pubudu N. Pathirana;Aruna Seneviratne

  • Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

    Quoc-Viet Pham;Dinh C. Nguyen;Thien Huynh-The;Won-Joo Hwang

  • Mobility modelling and trajectory prediction for cellular networks with mobile base stations

    Pubudu N. Pathirana;Andrey V. Savkin;Sanjay Jha

  • Smartwatch: Performance evaluation for long-term heart rate monitoring

    Dung Phan;Lee Yee Siong;Pubudu N. Pathirana;Aruna Seneviratne

  • Exploiting geometry for improved hybrid AOA/TDOA-based localization

    Adrian N. Bishop;Barış Fidan;Kutluyıl Doğançay;Brian D. O. Anderson

  • Technical communique: Further result on reachable set bounding for linear uncertain polytopic systems with interval time-varying delays

    Phan T. Nam;Pubudu N. Pathirana

  • Node localization using mobile robots in delay-tolerant sensor networks

    Pubudu N. Pathirana;Nirupama Bulusu;Andrey V. Savkin;Sanjay K. Jha

Frequent Co-Authors

Andrey V. Savkin
Andrey V. Savkin University of New South Wales
Malcolm K. Horne
Malcolm K. Horne Florey Institute of Neuroscience and Mental Health
Aruna Seneviratne
Aruna Seneviratne University of New South Wales
Ming Ding
Ming Ding Commonwealth Scientific and Industrial Research Organisation
Hieu Trinh
Hieu Trinh Deakin University
Jun Li
Jun Li Nanjing University of Science and Technology
H. Vincent Poor
H. Vincent Poor Princeton University
Quoc-Viet Pham
Quoc-Viet Pham Trinity College Dublin
Louise A. Corben
Louise A. Corben University of Melbourne
Sanjay Jha
Sanjay Jha University of New South Wales

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