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Dr. K Dinesh Kumar

Assistant Professor , School of Computing, Amrita Vishwa Vidyapeetham Bengaluru

Qualification: B. Tech., M.Tech., Ph.D
Research Interest: Cloud and Fog Computing Resource Management System, Cloud and Fog Resource Management with Machine Learning and Deep Learning, Machine Learning.

Bio

Working as an Assistant Professor in the School of Computing, Amrita Vishwa Vidyapeetham University. Received a Doctorate degree from VIT University. Published research work in international publications and participated in various international conferences. Active review member for leading research journals like IEEE Transactions, Springer, Taylor & Francis Online, Wiley, Hindawi, and IGI global, etc. Also, acted as a review member for international conferences like MBDAS-2021, Shenzhen, China and ICMEMSCE-2018, Xiamen, China. Editor for forthcoming IGI Global book. Co-author of three textbooks. Certified AWS Solution Architect – Associate level.

Publications

Journal Article

Year : 2023

An Efficient Proactive VM Consolidation Technique with Improved LSTM Network in a Cloud Environment

Cite this Research Publication : K Dinesh Kumar and E Umamaheswari, “An Efficient Proactive VM Consolidation Technique with Improved LSTM Network in a Cloud Environment”, Computing, Springer. ISSN: 1436-5057.

Publisher : Springer

Year : 2020

HPCWMF: A Hybrid Predictive Cloud Workload Management Framework Using Improved LSTM Neural Network

Cite this Research Publication : K Dinesh Kumar and E Umamaheswari, “HPCWMF: A Hybrid Predictive Cloud Workload Management Framework Using Improved LSTM Neural Network”, Cybernetics and Information Technologies, ISSN: 1311-9702, Vol. 20, No. 4, pp. 55-73, 2020.

Year : 2019

Towards the Integration of Blockchain and IoT for Security Challenges in IoT: A Review

Cite this Research Publication : K Dinesh Kumar et al., “Towards the Integration of Blockchain and IoT for Security Challenges in IoT: A Review”, Transforming Businesses with Bitcoin Mining and Blockchain Applications, IGI global, pp. 45-67, 2019.

Year : 2019

Attribute-oriented Classification with Variable Importance using Random Forest Model

Cite this Research Publication : K Dinesh Kumar et al., “Attribute-oriented Classification with Variable Importance using Random Forest Model”, International Journal of Recent Technology and Engineering, ISSN: 2277-3878, Vol. 8, No. 2S3, pp. 1630-1635, 2019.

Year : 2019

Internet of Things and Fog Computing Applications in Intelligent Transportation Systems

Cite this Research Publication : K Dinesh Kumar et al., “Internet of Things and Fog Computing Applications in Intelligent Transportation Systems”, Architecture and Security Issues in Fog Computing Applications, IGI global, pp. 131-150, 2019.

Year : 2019

Towards Efficient Resource Management in Fog Computing: A Survey and Future Directions

Cite this Research Publication : K Dinesh Kumar et al., “Towards Efficient Resource Management in Fog Computing: A Survey and Future Directions”, Architecture and Security Issues in Fog Computing Applications, IGI global, pp. 158-198, 2019

Year : 2019

EWPTNN: An Efficient Workload Prediction Model in Cloud Computing Using Two-Stage Neural Networks

Cite this Research Publication : K Dinesh Kumar and E Umamaheswari, “EWPTNN: An Efficient Workload Prediction Model in Cloud Computing Using Two-Stage Neural Networks”, Procedia Computer Science, Elsevier, ISSN: 1877-0509, Vol. 165, pp. 151-157, 2019.

Year : 2019

Twitter Sentiment Analysis Based on US Presidential Election 2016

Cite this Research Publication : K Dinesh Kumar et al., “Twitter Sentiment Analysis Based on US Presidential Election 2016”, Smart Intelligent Computing and Applications; Smart Innovation, Systems and Technologies, Springer, ISSN: 2190-3018, Vol. 159, pp. 363-373, 2019.

Publisher : Springer

Year : 2018

Resource Provisioning in Cloud Computing Using Prediction Models – A Survey

Cite this Research Publication : K Dinesh Kumar and E Umamaheswari, “Resource Provisioning in Cloud Computing Using Prediction Models - A Survey”, International Journal of Pure and Applied Mathematics, ISSN No. 1311-8080, Vol. 119, No. 9, pp. 333-342, 2018.

Year : 2018

Efficient Cloud Resource Scaling based on Prediction Approaches

Cite this Research Publication : K Dinesh Kumar and E Umamaheswari, “Efficient Cloud Resource Scaling based on Prediction Approaches”, International Journal of Engineering & Technology (UAE), ISSN: 2227-524X, Vol. 7, No 4.10, 2018.

Publisher : K Dinesh Kumar

Year : 2018

Prediction methods for effective resource provisioning in cloud computing: A survey

Cite this Research Publication : K Dinesh Kumar and E Umamaheswari, “Prediction methods for effective resource provisioning in cloud computing: A survey”, Multiagent and Grid Systems, ISSN No. 1574-1702, Vol. 14, No. 3, pp. 283-305, 2018.

Year : 2017

An Authenticated, Secure Virtualization Management System in Cloud Computing

Cite this Research Publication : K Dinesh Kumar and E Umamaheswari, “An Authenticated, Secure Virtualization Management System in Cloud Computing”, Asian Journal of Pharmaceutical and Clinical Research, Advances in Smart Computing and Bioinformatics, ISSN: 2455-3891, April 2017.

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