News Update:
Dr. Brindha T
Dr. Brindha T

Associate Professor

brindha@niuniv.com

Education
  • Ph.D - Computer Science and Engineering, Noorul Islam Centre for Higher Education (2016)
  • M.E - Software Engineering, Periyar Maniammai Institute of Technology for Women (2008)
  • B.Tech - Information Technology, Jayamatha Engineering College (2006)
Experience
  • Associate Professor, Noorul Islam Centre for Higher Education (2019-04-18 - Present)
  • Assistant Professor, Noorul Islam Centre for Higher Education (2010-09-01 - 2019-04-17)
  • Lecturer, Noorul Islam College of Engineering (2008-01-21 - 2010-08-31)
Journal Publications
  • A Multi-Objective Clustered Input Oriented Salp Swarm Algorithm in Cloud Computing by Juliet A. Murali, Brindha T, CMC-Computers, Materials & Continua (2024)
  • Innovative Melanoma Diagnosis: Harnessing VI Transformer Architecture by Sreelakshmi Jayasankar, T. Brindha, International Journal of Advanced Computer Science and Applications (IJACSA) (2024)
  • Deep Learning Fusion for Intracranial Hemorrhage Classification in Brain CT Imaging by Padma Priya S. Babu, Dr. T. Brindha, International Journal of Advanced Computer Science and Applications (IJACSA) (2024)
  • Performance analysis on cluster head selection approaches for WSN-IoT by R. Ramya, Dr. T. Brindha, International Journal of Industrial and Systems Engineering (2024)
  • Design of A Multi-Constraint PSO for Resource Allocation and Task Scheduling by Rajkumar Kalimuthu, Brindha Thomas, International Journal of Intelligent Systems and Applications in Engineering (2023)
  • A meta-heuristic clustered grey wolf optimization algorithm for cloud resource scheduling by Murali, J.A., Brindha, International Journal of Advanced Technology and Engineering (2023)
  • A systematic analysis and review of COVID-19 detection techniques using CT image by Ameera Beegom, J., Brindha, T, Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization (2023)
  • A Novel Authentication and Key Agreement-Based Mechanism for an Efficient Data Migration in Cloud Environment by Never Chatsengela, Dr. T. Brindha, International Journal of Innovative Science and Research Technology (2023)
  • An integrated review on machine learning approaches for heart disease prediction: Direction towards future research gaps by Fathima Aliyar Vellameeran, Thomas Brindha, Bio-Algorithms and Med-Systems (2022)
  • Impeccable MRI Image Compression with Non-Uniform Partition and U-System by Sr.J. Rani, Dr.T. Brindha, Dr.G. Glorindal and Dr. Ignatius A Herman, International Journal of Creative Research Thoughts (2022)
  • A Comprehensive Review on Optimal Cluster Head Selection in WSN-IoT by R. Ramya, Dr. T. Brindha, Advances in Engineering Software (2022)
  • An Effective Multi-objective Task Scheduling and Resource Optimization in Cloud Environment using Hybridized Metaheuristic Algorithm by Journal of Intelligent and Fuzzy Systems, Raj Kumar Kalimuthu, Brindha Thomas (2022)
  • TaylorCSROA-based Deep Residual Network: An Optimization driven Deep Network for the multilevel spinal cord disease classification by Jasim, M., Brindha, T, Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization (2022)
  • Task scheduling in cloud using resistive and ranking metaheuristic optimization approach by Rajkumar Kalimuthu & Brindha Thomas, Indian Journal of Computer Science and Engineering (2021)
  • Spinal Injury Detection with Crow Search – DCNN Method by Munavar Jasim K, T. Brindha, Transactions on Innovations in Science and Technology (2021)
  • A new variant of deep belief network Assisted with Optimal Feature Selection for heart disease diagnosis using IoT Wearable Medical Devices by Fathima Aliyar Vellameeran, Thomas Brindha, Computer Methods in Biomechanics and Biomedical Engineering (2021)
  • Spinal cord segmentation and injury detection using a Crow Search-Rider optimization algorithm by Jasim, M., Brindha, T., Biomedizinische Technik (2021)
  • Injury classification and level detection of the spinal cord based on the optimized recurrent neural network by Munavar Jasim, K., Brindha, T., Bio-Algorithms and Med-Systems (2021)
  • Optimal feature selection with hybrid classification for automatic face shape classification using fitness sorted Grey wolf update by Sukumaran, A., Brindha, T., Multimedia Tools and Applications (2021)
  • Nature-inspired hybrid deep learning for race detection by face shape features by Sukumaran, A., Brindha, T., International Journal of Intelligent Computing and Cybernetics (2020)
  • Literature review and research issues:green aware cloud load balancing and scheduling techniques by Rajkumar Kalimuthu, Brindha Thomas, International Journal of Engineering & Technology (2018)
  • A secure transaction of cloud data using conditional source trust attributes encryption mechanism by Brindha, T., Shaji, R.S., Soft Computing (2018)
  • A study on spinal cord segmentation techniques by Jasim, M., Brindha, T., Control and Cybernetics (2018)
  • Scheduling Algorithms in Cloud Environments: A Comparative Study by J.A Murali, T Brindha, International Journal of Engineering & Technology (2018)
  • Deep Learning an Overview by Asha Sukumaran and Thomas Brindha, International Journal of Engineering and Technology (2018)
  • A Methodological Review on Attack and Defense Strategies in Cyber Warfare by R.S Shaji, V.S Dev, T Brindha,, Wireless Networks (2018)
  • An Instance Communication Channel Key Organizer Model for Enhancing Security in Cloud Computing by Brindha T, Shaji R.S., International Arab Journal of Information Technology (2016)
  • An Efficient Framework for Providing Secured Transaction of Data in Cloud Environment by Brindha T, Shaji R S, Indian Journal of Science and Technology (2016)
  • A Survey on the Architectures of Data Security in Cloud Storage Infrastructure by Brindha T, Shaji R S, International Journal of Engineering and Technology (2013)
Books Published
  • Communication and Storage Security in Cloud Computing, ISBN: -, Publisher: EverScience Publications
Patents
  • No patents available.
Conferences
  • Implementation of E-Blood Bank System using Cloud Computing and AES Algorithm, International Conference on Recent Innovations in Science and Technology (June 19, 2021)
  • Utilizing IoT Wearable Medical Device For Heart Disease Prediction Using Deep Belief Network, National Conference on Computational and Scientific Era (May 6, 2021)
  • An Enhanced Hierarchical Model for Cloud Computing Environments, International Conference on Advances in Computing, Communication, Embedded and Secure Systems (May 20, 2020)
  • Power of Transfer Learning in Machine Learning, Multidisciplinary Research in Global Challenges and Perspectives of Sustainable Development (December 21, 2019)
  • Resource Management Models for Cloud Computing, International Conference on Networks, Images and Security (April 11, 2019)
  • Scientific Study on Spinal Segmentation Methods, International Conference on Networks, Image and Security (April 10, 2019)
  • Methods for Face Detection and Feature Extraction - A Review, International Conference on Networks, Image and Security (April 11, 2018)
  • Towards Analysis of Secure Data Storage in Cloud Computing Environment, International Conference on Technical Innovation in Electrical, Electronics, Computer Communications (ICTIEECC 2018) (March 14, 2018)
  • A Data Duplication Methodology for Enhancing Security of Data in Cloud, International Conference on Enhancements in Electrical, Electronics and Computer Engineering (April 13, 2016)
  • Optimal Video Multicast in Broadband Wireless Data Systems, International Conference on Innovative Trends in Computing and Technology (March 14, 2013)
  • Preserving the Confidentiality of Messages by using MPI, National Conference on Changing Scenario of Mechanical Engineering and Technology (September 14, 2012)
  • A Deterministic Methodology for Preventing the Flooding-Based Attacks, National Conference on Internet and Multimedia Communication (March 27, 2008)
  • Mitigating the Distributed Denial–of-Service Attacks for Sustaining the Availability of Web Services, National Conference on Networks, Image and Security (March 14, 2008)
Projects
  • No projects available.
Faculty Development Programs (FDP)
  • No FDPs available.
Online Courses
  • No online courses available.
Events Organized
  • No events organized.
Awards
  • Dr. Brindha T - Received best paper award for “A Systematic Survey on Malignant Melanoma Detection using Publicly Available Datasets”, International Conference on Networks, Image and Security, ICNIS 2023, Department of Information Technology, Noorul Islam Centre for Higher Education, 23rd and 24th Aug 2023.
Guest Activities
  • No guest activities available.
Additional Contributions
  • No additional contributions available.
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