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D-Index & Metrics

Computer Science

D-Index
47
Citations
7814
World Ranking
6563
National Ranking
86

Overview

Bharadwaj Veeravalli is affiliated with the National University of Singapore in Singapore. Their research is primarily situated in the field of Computer Science, with a significant focus on several subfields including Computer Networks and Communications, Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, and Aerospace Engineering.

The main research topics Bharadwaj Veeravalli has contributed to encompass areas such as Cloud Computing and Resource Management, IoT and Edge/Fog Computing, Distributed and Parallel Computing Systems, Cryptography and Data Security, Privacy-Preserving Technologies in Data, Domain Adaptation and Few-Shot Learning, and Advanced Neural Network Applications.

The scientist has published extensively in a number of academic venues, frequently contributing to:

  • arXiv (Cornell University)
  • IEEE Transactions on Parallel and Distributed Systems
  • Journal of Parallel and Distributed Computing
  • 2022 IEEE International Conference on Image Processing (ICIP)
  • Future Generation Computer Systems

Bharadwaj Veeravalli has also been involved in publishing books with Springer International Publishing, including titles such as Internet of Things (IoT): Key Digital Trends Shaping the Future (2023) and Machine Learning and Big Data Analytics (2023).

Recent representative publications include:

  • A predictive analytics approach for stroke prediction using machine learning and neural networks, 2022, Healthcare Analytics
  • DOReN: Toward Efficient Deep Convolutional Neural Networks with Fully Homomorphic Encryption, 2021, IEEE Transactions on Information Forensics and Security
  • Multi-GPU Design and Performance Evaluation of Homomorphic Encryption on GPU Clusters, 2020, IEEE Transactions on Parallel and Distributed Systems
  • Reinforcement learning-enabled genetic algorithm for school bus scheduling, 2020, Journal of Intelligent Transportation Systems
  • Privacy-Preserving Collective Learning With Homomorphic Encryption, 2021, IEEE Access

Bharadwaj Veeravalli has collaborated frequently with several researchers, with notable co-authors including:

  • Zeng Zeng
  • Khin Mi Mi Aung
  • Ziyuan Zhao
  • Xiaoli Wang
  • Souhail Meftah

Best Publications

  • Divisible Load Theory: A New Paradigm for Load Scheduling in Distributed Systems

    Veeravalli Bharadwaj;Debasish Ghose;Thomas G. Robertazzi

  • CDRM: A Cost-Effective Dynamic Replication Management Scheme for Cloud Storage Cluster

    Qingsong Wei;Bharadwaj Veeravalli;Bozhao Gong;Lingfang Zeng

  • Scheduling Precedence Constrained Stochastic Tasks on Heterogeneous Cluster Systems

    Kenli Li;Xiaoyong Tang;Bharadwaj Veeravalli;Keqin Li

  • On the Design of Adaptive and Decentralized Load Balancing Algorithms with Load Estimation for Computational Grid Environments

    R. Shah;B. Veeravalli;M. Misra

  • A Novel Security-Driven Scheduling Algorithm for Precedence-Constrained Tasks in Heterogeneous Distributed Systems

    Tang Xiaoyong;Kenli Li;Zeng Zeng;B Veeravalli

  • Optimal sequencing and arrangement in distributed single-level tree networks with communication delays

    V. Bharadwaj;D. Ghose;V. Mani

  • On the influence of start-up costs in scheduling divisible loads on bus networks

    B. Veeravalli;Xiaolin Li;Chi Chung Ko

  • SABA: A security-aware and budget-aware workflow scheduling strategy in clouds

    Lingfang Zeng;Bharadwaj Veeravalli;Xiaorong Li

  • Reinforcement Learning-Based Inter- and Intra-Application Thermal Optimization for Lifetime Improvement of Multicore Systems

    Anup Das;Rishad A. Shafik;Geoff V. Merrett;Bashir M. Al-Hashimi

  • On the Design of Fault-Tolerant Scheduling Strategies Using Primary-Backup Approach for Computational Grids with Low Replication Costs

    Qin Zheng;B. Veeravalli;Chen-Khong Tham

  • Implementation and Performance Evaluation of RNS Variants of the BFV Homomorphic Encryption Scheme

    Ahmad Al Badawi;Yuriy Polyakov;Khin Mi Mi Aung;Bharadwaj Veeravalli

  • Reliability-aware scheduling strategy for heterogeneous distributed computing systems

    Xiaoyong Tang;Kenli Li;Renfa Li;Bharadwaj Veeravalli

  • ScaleStar: Budget Conscious Scheduling Precedence-Constrained Many-task Workflow Applications in Cloud

    Lingfang Zeng;Bharadwaj Veeravalli;Xiaorong Li

  • Resource-Aware Distributed Scheduling Strategies for Large-Scale Computational Cluster/Grid Systems

    Sivakumar Viswanathan;Bharadwaj Veeravalli;T.G. Robertazzi

  • Network caching strategies for a shared data distribution for a predefined service demand sequence

    B. Veeravalli

  • Truthful Scheduling Mechanisms for Powering Mobile Crowdsensing

    Kai Han;Chi Zhang;Jun Luo;Menglan Hu

  • DROPS: Division and Replication of Data in Cloud for Optimal Performance and Security

    Mazhar Ali;Kashif Bilal;Samee U. Khan;Bharadwaj Veeravalli

  • Design and implementation of parallel video encoding strategies using divisible load analysis

    Ping Li;B. Veeravalli;A.A. Kassim

  • DISTRIBUTED IMAGE PROCESSING ON A NETWORK OF WORKSTATIONS

    X L. Li;B. Veeravalli;C. C. Ko

  • Design of Fast and Efficient Energy-Aware Gradient-Based Scheduling Algorithms Heterogeneous Embedded Multiprocessor Systems

    Lee Kee Goh;B. Veeravalli;S. Viswanathan

Frequent Co-Authors

Akash Kumar
Akash Kumar TU Dresden
Anup Das
Anup Das Drexel University
Chen-Khong Tham
Chen-Khong Tham National University of Singapore
Keqin Li
Keqin Li State University of New York at New Paltz
Dan Feng
Dan Feng Huazhong University of Science and Technology
Samee U. Khan
Samee U. Khan Mississippi State University
Albert Y. Zomaya
Albert Y. Zomaya University of Sydney
Jun Luo
Jun Luo Nanyang Technological University
Kenli Li
Kenli Li Hunan University
Xiaolin Li
Xiaolin Li Pacific Northwest National Laboratory

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