Back close

Dr. K Dinesh Kumar

Assistant Professor (Sr. Gd.), School of Computing, Amrita Vishwa Vidyapeetham Bengaluru

Qualification: B. Tech., M.Tech., Ph.D
kk_dinesh@blr.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Computational Intelligence for Green Cloud Computing, Cloud and Fog Computing Resource Management by using Machine & Deep Learning Approaches, AI for Healthcare, Smart city, Smart Agriculture Applications

Bio

Dr. K Dinesh Kumar is currently working as an Assistant Professor (Sr. Gd.) at the School of Computing, Amrita Vishwa Vidyapeetham University. Ph.D. degree received from the School of Computer Science and Engineering, VIT University. Published international publications and participated in various international and national conferences. Active review member for various reputed leading research journals like IEEE Transactions, Springer, Wiely, Taylor & Francis Online, etc. and also acted as review member for international conferences like MBDAS-2021, Shenzhen, China and ICMEMSCE-2018, Xiamen, China. Co-author of three textbooks. Certified AWS Solution Architect (Associate). Currently guiding three PhD research scholars. Interested research areas are Cloud/Fog/Edge computing and AI.

Publications

Book Chapter

Year : 2024

Sustainable Waste Management OOA-Enhanced MobileNetV2-TC Model for Trash Image Classification

Cite this Research Publication : B. Manjunatha, K. Dinesh Kumar, Sam Goundar, Balasubramanian Prabhu Kavin, Gan Hong Seng, Sustainable Waste Management OOA-Enhanced MobileNetV2-TC Model for Trash Image Classification, Advances in Computational Intelligence and Robotics, IGI Global, 2024, https://doi.org/10.4018/979-8-3693-1552-1.ch012

Publisher : IGI Global

Book

Year : 2024

Computational Intelligence for Green Cloud Computing and Digital Waste Management

Cite this Research Publication : Kumar, K. Dinesh, et al., eds., "Computational Intelligence for Green Cloud Computing and Digital Waste Management," Advances in Computational Intelligence and Robotics, IGI Global, 2024, https://doi.org/10.4018/979-8-3693-1552-1

Publisher : IGI Global

Conference Paper

Year : 2024

Geometric Insights for Energy-Efficient Building Design: A Differential Geometry-based Regression Approach

Cite this Research Publication : S Anirudh, Rejeti Kartik, Potula Radha Nishant, Mahadevi E Malkhed, K. Dinesh Kumar, Geometric Insights for Energy-Efficient Building Design: A Differential Geometry-based Regression Approach, 2024 5th International Conference on Smart Electronics and Communication (ICOSEC), IEEE, 2024, https://doi.org/10.1109/icosec61587.2024.10722369

Publisher : IEEE

Year : 2024

An Ensemble Classification Model for Phishing Mail Detection

Cite this Research Publication : Anirudh S, P Radha Nishant, Sanjay Baitha, K Dinesh Kumar, An Ensemble Classification Model for Phishing Mail Detection, Procedia Computer Science, Elsevier BV, 2024, https://doi.org/10.1016/j.procs.2024.03.286

Publisher : Elsevier BV

Year : 2024

A Comprehensive Analysis of Machine Learning Algorithms for Suitable Crop Prediction in Agriculture

Cite this Research Publication : Kriti Priya Shah, Subodh Narayan Sah, Kadam Prajwal Dharmaraj, K Dinesh Kumar, A Comprehensive Analysis of Machine Learning Algorithms for Suitable Crop Prediction in Agriculture, 2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS), IEEE, 2024, https://doi.org/10.1109/icc-robins60238.2024.10533902

Publisher : IEEE

Year : 2024

Pomegranate Grading Using Different Feature Extraction and Machine Learning Approaches

Cite this Research Publication : V. Gopi Kiran, N.A Vidula, T. Hemanth Babu, K Dinesh Kumar, Pomegranate Grading Using Different Feature Extraction and Machine Learning Approaches, 2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS), IEEE, 2024, https://doi.org/10.1109/adics58448.2024.10533586

Publisher : IEEE

Year : 2024

Tri-Model Synergy: Redefining Depression Detection through the Convergence of ANN, CNN, and SVM

Cite this Research Publication : Angelina George, Achal Baniya, Alphonsa Jose, K Dinesh Kumar, Tri-Model Synergy: Redefining Depression Detection through the Convergence of ANN, CNN, and SVM, 2024 5th International Conference on Smart Electronics and Communication (ICOSEC), IEEE, 2024, https://doi.org/10.1109/icosec61587.2024.10722581

Publisher : IEEE

Year : 2024

A Two-Stage Ensemble Approach for Analysis of Optimizing Customer Churn with Lime Interpretability

Cite this Research Publication : Utkarsh Tiwari, Siddhant Ashwani, Aayushi Jeeban Tripathy, K Dinesh Kumar, A Two-Stage Ensemble Approach for Analysis of Optimizing Customer Churn with Lime Interpretability, 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), IEEE, 2024, https://doi.org/10.1109/ic2pct60090.2024.10486713

Publisher : IEEE

Year : 2024

Detection of Bullying Text: A Multi-faceted Approach using Machine Learning and Natural Language Processing

Cite this Research Publication : Kotyada Mohan Kiran Kumar, Karthik Ullas, Vivek Srikar Reddy, Munaga Sai Snehitha, Mahadevi E Malkhed, K Dinesh Kumar, Detection of Bullying Text: A Multi-faceted Approach using Machine Learning and Natural Language Processing, 2024 5th International Conference on Smart Electronics and Communication (ICOSEC), IEEE, 2024, https://doi.org/10.1109/icosec61587.2024.10722479

Publisher : IEEE

Year : 2024

Dual Model Dynamics: Enhancing Depression Prediction Through the Integrated Use of Convolutional Neural Networks and Support Vector Machines in Data-Driven Methods

Cite this Research Publication : Alphonsa Jose, Achal Baniya, Angelina George, K. Dinesh Kumar, Dual Model Dynamics: Enhancing Depression Prediction Through the Integrated Use of Convolutional Neural Networks and Support Vector Machines in Data-Driven Methods, Communications in Computer and Information Science, Springer Nature Switzerland, 2024, https://doi.org/10.1007/978-3-031-73477-9_10

Publisher : Springer Nature Switzerland

Year : 2024

A Hybrid Model for Accurate Prediction of Progression in Parkinson’s Disease

Cite this Research Publication : S Anirudh, Manushri Tummala, Manushri Tummala, Sri Sai Suhas Sanisetty, K Dinesh Kumar, Nidal Nasser, A Hybrid Model for Accurate Prediction of Progression in Parkinson’s Disease, 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), IEEE, 2024, https://doi.org/10.1109/ic2pct60090.2024.10486359

Publisher : IEEE

Year : 2024

Accurate Prediction of Heart Disease Based On Multiple Layers Optimized Machine Learning Technique

Cite this Research Publication : Koti Leela Sai Praneeth Reddy, Munaga Sai Snehitha, Karukonda Nithin Reddy, K Dinesh Kumar, Nidal Nasser, Accurate Prediction of Heart Disease Based On Multiple Layers Optimized Machine Learning Technique, 2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT), IEEE, 2024, https://doi.org/10.1109/ic2pct60090.2024.10486250

Publisher : IEEE

Journal Article

Year : 2024

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, Volume 106, pages 1–28, (2024), 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.

FDP / Workshops
  • “Human Language Technology” and “Green Computing” Research TAGs, Dr Peeta Basa Pati and Dr. K Dinesh Kumar from Amrita School of Computing, Bengaluru, organized a two-day workshop on “Emerging Research Direction in Computer Vision”.
Membership
  • Computer Society of India
  • Indian Society for Technical Education
Admissions Apply Now