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Dr. Korrapati Sindhu

Assistant Professor, Level 10, School of Computing, Amaravati

Qualification: Ph. D.
k_sindhu@av.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Machine Learning, Probabilistic Graphical Models

Bio Publications
Bio

Dr. Korrapati Sindhu is currently working as an Assistant Professor in the Department of Computer Science and Engineering, School of Computing, at Amrita Vishwa Vidyapeetham, Amaravati Campus, Andhra Pradesh. She holds a Ph.D. in Computer Science and Engineering from the National Institute of Technology, Andhra Pradesh. Her doctoral research focused on developing models for effective and efficient resource management in virtual data centers.

During her Ph.D., she published her work in reputed Q1 journals, including IEEE Transactions on Cloud Computing. During her Ph.D. she collaborated with Director of AI and Data Platforms at LinkedIn. Qualified Professional in GATE, UGCNET, and APSET.

Publications

Journal Article

Year : 2025

A dynamic probabilistic graphical model for mapping tasks to virtual machines in data centers

Cite this Research Publication : Korrapati Sindhu, Karthick Seshadri, A dynamic probabilistic graphical model for mapping tasks to virtual machines in data centers, Engineering Applications of Artificial Intelligence, Elsevier BV, 2025, https://doi.org/10.1016/j.engappai.2025.110963

Publisher : Elsevier BV

Year : 2024

Design and Evaluation of a Hierarchical Characterization and Adaptive Prediction Model for Cloud Workloads

Cite this Research Publication : Karthick Seshadri, Korrapati Sindhu, S. Nagesh Bhattu, Chidambaran Kollengode, Design and Evaluation of a Hierarchical Characterization and Adaptive Prediction Model for Cloud Workloads, IEEE Transactions on Cloud Computing, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/tcc.2024.3393114

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2022

Workload characterization and synthesis for cloud using generative stochastic processes

Cite this Research Publication : Korrapati Sindhu, Karthick Seshadri, Chidambaran Kollengode, Workload characterization and synthesis for cloud using generative stochastic processes, The Journal of Supercomputing, Springer Science and Business Media LLC, 2022, https://doi.org/10.1007/s11227-022-04597-y

Publisher : Springer Science and Business Media LLC

Book Chapter

Year : 2022

Text Summarization: A Technical Overview and Research Perspectives

Cite this Research Publication : Korrapati Sindhu, Karthick Seshadri, Text Summarization: A Technical Overview and Research Perspectives, Handbook of Intelligent Computing and Optimization for Sustainable Development, Wiley, 2022, https://doi.org/10.1002/9781119792642.ch13

Publisher : Wiley

Conference Paper

Year : 2022

Unsupervised Modeling of Workloads as an Enabler for Supervised Ensemble-based Prediction of Resource Demands on a Cloud

Cite this Research Publication : Karthick Seshadri, C. Pavana, Korrapati Sindhu, Chidambaran Kollengode, Unsupervised Modeling of Workloads as an Enabler for Supervised Ensemble-based Prediction of Resource Demands on a Cloud, Lecture Notes on Data Engineering and Communications Technologies, Springer Nature Singapore, 2022, https://doi.org/10.1007/978-981-16-8403-6_10

Publisher : Springer Nature Singapore

Year : 2021

Dimensionality Prediction for Word Embeddings

Cite this Research Publication : Korrapati Sindhu, Karthick Seshadri, Dimensionality Prediction for Word Embeddings, Algorithms for Intelligent Systems, Springer Singapore, 2021, https://doi.org/10.1007/978-981-33-4604-8_24

Publisher : Springer Singapore

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