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Reena Panwar

Assistant Professor (OC), School of Computing, Bengaluru

Qualification: B. Tech., M. Tech.
p_reena@blr.amrita.edu
ORCID ID
Google Scholar Profile
Scopus Author ID
Research Interest: Cloud Computing,MachineLearning,IOT,Distributed Computing

Bio

Reena Panwar is a doctoral researcher in the Department of Computer Science at Amrita School of Computing, Bengaluru. She has recently submitted her PhD thesis on the topic “An Autonomic Resource Provisioning Framework for Cloudlet Enabled Wireless Sensor Networks for E-Health Applications”.

Her research focuses on intelligent and adaptive resource management in pervasive healthcare systems using techniques such as Bayesian learning, Reinforcement Learning, and Fuzzy Logic.

She has worked extensively with simulation tools like CloudSim and has presented her work at various national and international conferences.

Reena holds a Master’s degree in Computer Science from Galgotias college of Engineering and technology,Greator Noida(2015) and B.Tech from Bharat Institute of Technology ,Meerut (2011)and has over 6 years and 2.6 years of experience in academic research and teaching. Her long-term goal is to contribute to the development of AI-driven healthcare infrastructure and smart sensing environments.

Publications

Journal Article

Year : 2024

RLPRAF: Reinforcement Learning-Based Proactive Resource Allocation Framework for Resource Provisioning in Cloud Environment

Cite this Research Publication : Reena Panwar, M. Supriya, RLPRAF: Reinforcement Learning-Based Proactive Resource Allocation Framework for Resource Provisioning in Cloud Environment, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/access.2024.3421956

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2022

Dynamic Resource Provisioning for Service-Based Cloud Applications: A Bayesian Learning Approach

Cite this Research Publication : Panwar, R. and M. Supriya. 2022. "Dynamic Resource Provisioning for Service-Based Cloud Applications: A Bayesian Learning Approach." Journal of Parallel and Distributed Computing 168: 90-107. doi:10.1016/j.jpdc.2022.06.001.

Publisher : Journal of Parallel and Distributed Computing

Year : 2015

A Comparative Study of Load Balancing Algorithms in Cloud Computing

Cite this Research Publication : Reena Panwar, Bhawna Mallick, A Comparative Study of Load Balancing Algorithms in Cloud Computing, International Journal of Computer Applications, Foundation of Computer Science, 2015, https://doi.org/10.5120/20890-3669

Publisher : Foundation of Computer Science

Year : 2014

A Comparative Study of Load Balancing Techniques in Cloud Computing

Cite this Research Publication : Reena Panwar, A Comparative Study of Load Balancing Techniques in Cloud Computing ,published in International Journal of Engineering Research and Technology(IJERT),ISSN: 2278-0181,Vol.3,pp.374-377,Sept 2014

Publisher : International Journal of Engineering Research and Technology

Conference Paper

Year : 2019

Autonomic Resource Allocation Frameworks for Service-based Cloud Applications: A Survey

Cite this Research Publication : R. Panwar and Dr. Supriya M., “Autonomic Resource Allocation Frameworks for Service-based Cloud Applications: A Survey”, in 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), Greater Noida, India, 2019.

Publisher : ICCCIS

Year : 2015

Load balancing in cloud computing using dynamic load management algorithm

Cite this Research Publication : Reena Panwar, Bhawna Mallick, Load balancing in cloud computing using dynamic load management algorithm, 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), IEEE, 2015, https://doi.org/10.1109/icgciot.2015.7380567

Publisher : IEEE

FDP/ Workshops
  • Python and its Application with IOT, NIET, Greator Noida
  • Cyber Crime and Forensic Tool through ICT, NIET, Greator Noida
  • Data Mning and Business Intelligence through ICT, NIET, Greator Noida
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