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About

Dr. Bela Shrimali is working as an Assistant Professor in Computer Science and Engineering Department. She has more than 15 years of teaching experience. She has completed her Ph.D in Cloud computing domain from C.U. Shah University in the year 2018 and master's in computer science and engineering in the year 2012 from Government engineering college, Gandhinagar-India. Dr. Shrimali has presented and published many research papers in various international reputed conferences and journals. She is also working as a reviewer at various reputed journals of IEEE and Elsevier. She delivers expert lectures and talks at different institutes. She has guided many PG students for research dissertations and having 2 years of experience as a Ph.D. guide. She is a life time member of ISTE and ACM. Few of her main subjects of interest are Blockchain technology, IoT, Cloud computing, Wireless sensor networks and Machine Learning.

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Skills

Experience

Assistant Professor

Institute of Technology - Nirma University

Jan-2023 to Present

Education

C. U. Shah University, Wadhwan

Ph.D. in Cloud Computing

Passout Year: 2018

Publication

  • dott image April, 2023

AgriOnBlock: Secured data harvesting for agriculture sector using blockchain technology

The existing agriculture system is having several components such as supply chain management, crop insurance, the shipment of goods, and it involves numerous untrusted stakeholders such as u...

  • dott image October, 2022

Blockchain state-of-the-art: architecture, use cases, consensus, challenges and opportunities

Blockchain is a chain of blocks where each block contains a set of transactions that are digitally signed by its verifier and stored across the distributed network so that all the legitimate...

  • dott image October, 2022

Blockchain state-of-the-art: architecture, use cases, consensus, challenges and opportunities

Journal : Journal of King Saud University - Computer and Information Sciences

Blockchain is a chain of blocks where each block contains a set of transactions that are digitally signed by its verifier and stored across the distributed network so that all the legitimate...

  • dott image September, 2021

Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environment

Journal : TIDEE - TERI Information Digest on Energy and Environment

This paper reviews the various actions taken by G20 member countries towards electricity consumption while in COVID-19 pandemic outbreak. This research work is an analysis of actions tak...

  • dott image April, 2021

Introduction of Blockchain and 5G-Enabled IoT Devices

Journal : Blockchain for 5G-Enabled IoT

The Internet of Things (IoT) paradigm has been revolutionized in recent times that handles the diversity of consumer and industrial applications, viz. smart homes, smart cities, smart grids,...

  • dott image September, 2020

Multi-objective optimization oriented policy for performance and energy efficient resource allocation in Cloud environment

Cloud computing is a hybrid paradigm which makes use of utility computing, high performance cluster computing and grid computing and it offers various benefits such as flexibility, expandabi...

  • dott image November, 2018

Data delivery techniques in content centric routing for IoT: a systematic review

Internet of Things (IoT) connects a number of devices that share data through the internet. Communication between these devices causes a large amount of data in the network that creates a lo...

  • dott image October, 2018

A Survey on Certificate-Less Public Key Encryption for Authentication in a Smart IoT-Based LoRaWAN

Key management and authentication are the two key components to make sure that the entities involved in communication process in Internet of Things (IoT) operate securely. Due to architectu...

  • dott image June, 2018

A fuzzy-based approach to evaluate multi-objective optimization for resource allocation in cloud

Effective resource allocation can be used to achieve two important parameters in Cloud viz. energy efficiency and data center performance. Multi-objective optimization is one of the techniqu...

  • dott image March, 2018

Power Aware Task Scheduling in Compute Cloud

Cloud computing has become an attractive computing paradigm in recent years to offer on demand computing resources for users worldwide. Computing resources are delivered in the form of virtu...

Projects

Apr-2023 to Present

Real-Time Smart Parking Management for Nirma University

Conference/Seminar/STTP/FDP/Symposium/Workshop

Conference
  • dott image Mar 2024

Neural Network Based Diagnostic Approach for Cervical Cancer Cell Stratification From Pap Smear Images

Hosted By:

IEEE - Institute of Electrical and Electronics Engineers ,

Rajkot, Gujarat, India
As per the recent statistics from the well-known organization WHO (World Health Organization), gynecologic cancer is fourth common cancers which affects the lives of women all over the globe. Early detection of cervical cancer, taking preventive measures, and performing primary care treatments are equally important to lower the mortality rate. Due to ambiguities in traditional diagnostic approaches, the Artificially Intelligent system-developed diagnosis comes in handy to provide a second opinion when it comes to the detection and classification of cervical cancer more quickly and efficiently. A neural network-based approach is presented in this study to classify the pap smear data at an early stage. Some important evaluation parameters such as accuracy, precision, recall, F1 score are measured to verify the efficacy of the network models.
...see more

Scholar9 Profile ID

S9-022024-0200551

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