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Bala Srinivasan

Bala Srinivasan

Overview

Bala Srinivasan is affiliated with Monash University in Australia and works primarily in the fields of Computer Science and Engineering. Their research focus encompasses several subfields, including Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Molecular Biology, and Control and Systems Engineering.

The scientist's work covers a range of topics with particular attention to Energy Efficient Wireless Sensor Networks, Energy Harvesting in Wireless Networks, IoT and Edge/Fog Computing, Wireless Communication Security Techniques, Diffusion and Search Dynamics, Distributed Control Multi-Agent Systems, and IoT-based Smart Home Systems.

Recent papers authored or co-authored include:

  • Modeling of Tuna Swarm Algorithm Based Unequal Clustering Approach on Internet of Things Assisted Networks, 2024, Brazilian Archives of Biology and Technology
  • Enhancing Intrusion Detection Using Binary Arithmetic Optimization with Sparse Auto Encoder for Fog-Assisted Wireless Sensor Networks, 2024, Brazilian Archives of Biology and Technology
  • Multi-objective Sand Piper Optimization Based Clustering with Multihop Routing Technique for IoT Assisted WSN, 2023, Brazilian Archives of Biology and Technology
  • Secrecy capacity against adaptive eavesdroppers in a random wireless network using friendly jammers and protected zone, 2020, Journal of Network and Computer Applications
  • Anonymization based deep privacy preserving convolutional autoencoder learning technique for high dimensional data clustering in big data cloud, 2023, AIP conference proceedings

Bala Srinivasan has collaborated frequently with several researchers, including:

  • Vinoth Kumar Kalimuthu
  • Thiruppathi Muthu
  • Rajakani Velumani
  • J. E. Giti
  • Amin Sakzad

Their publications have appeared predominantly in the Brazilian Archives of Biology and Technology, where three of their works are published. Other notable venues include the Journal of Network and Computer Applications, AIP conference proceedings, and Hospital Pharmacy.

Best Publications

  • Dynamic self-organizing maps with controlled growth for knowledge discovery

    D. Alahakoon;S.K. Halgamuge;B. Srinivasan

  • A secure account-based mobile payment protocol

    S. Kungpisdan;B. Srinivasan;Phu Dung Le

  • Adaptive mobile activity recognition system with evolving data streams

    Zahraa Said Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

  • Voronoi-Based Continuous $k$ Nearest Neighbor Search in Mobile Navigation

    Geng Zhao;Kefeng Xuan;Wenny Rahayu;David Taniar

  • An evaluation of Web services in the design of a B2B application

    K. Hogg;P. Chilcott;M. Nolan;B. Srinivasan

  • Research in mobile database query optimization and processing

    Agustinus Borgy Waluyo;Bala Srinivasan;David Taniar

  • Lightweight Mobile Credit-Card Payment Protocol

    Supakorn Kungpisdan;Bala Srinivasan;Phu Dung Le

  • Activity Recognition with Evolving Data Streams: A Review

    Zahraa S. Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

  • Voronoi-based range and continuous range query processing in mobile databases

    Kefeng Xuan;Geng Zhao;David Taniar;Wenny Rahayu

  • Trustworthy-based efficient data broadcast model for P2P interaction in resource-constrained wireless environments

    Agustinus Borgy Waluyo;David Taniar;Wenny Rahayu;Ailixier Aikebaier

  • Collision Pattern Modeling and Real-Time Collision Detection at Road Intersections

    F.D. Salim;Seng Wai Loke;A. Rakotonirainy;B. Srinivasan

  • Secure sharing and searching for real-time video data in mobile cloud

    Joseph K. Liu;Man Ho Au;Willy Susilo;Kaitai Liang

  • Exclusive Use Spectrum Access Trading Models in Cognitive Radio Networks: A Survey

    Md. Rakib Hassan;Gour C. Karmakar;Joarder Kamruzzaman;Bala Srinivasan

  • Continuous Range Search Query Processing in Mobile Navigation

    Kefeng Xuan;Geng Zhao;D. Taniar;B. Srinivasan

  • AnyNovel: detection of novel concepts in evolving data streams: An application for activity recognition

    Zahraa Said Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

  • Voronoi-based multi-level range search in mobile navigation

    Kefeng Xuan;Geng Zhao;David Taniar;Maytham Safar

  • A taxonomy of broadcast indexing schemes for multi channel data dissemination in mobile databases

    A.B. Waluyo;B. Srinivasan;D. Taniar

  • Mobile service oriented architectures for NN-queries

    Agustinus Borgy Waluyo;David Taniar;Wenny Rahayu;Bala Srinivasan

  • A self-growing cluster development approach to data mining

    D. Alahakoon;S.K. Halgamuge;B. Srinivasan

  • StreamAR: Incremental and Active Learning with Evolving Sensory Data for Activity Recognition

    Zahraa Said Abdallah;Mohamed Medhat Gaber;Bala Srinivasan;Shonali Krishnaswamy

Frequent Co-Authors

David Taniar
David Taniar Monash University
Wenny Rahayu
Wenny Rahayu La Trobe University
Shonali Krishnaswamy
Shonali Krishnaswamy Monash University
Saman K. Halgamuge
Saman K. Halgamuge University of Melbourne
Mohamed Medhat Gaber
Mohamed Medhat Gaber Birmingham City University
Seng Wai Loke
Seng Wai Loke Deakin University
Marina L. Gavrilova
Marina L. Gavrilova University of Calgary
Arkady Zaslavsky
Arkady Zaslavsky Deakin University
Makoto Takizawa
Makoto Takizawa Hosei University
Kotagiri Ramamohanarao
Kotagiri Ramamohanarao University of Melbourne

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