Bela Shrimali Research Profile

Assistant Professor at Institute of Technology - Nirma University

Ahmedabad, Gujarat, India

Theory and Methods

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.

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

Research Article

Hiren B. Patel

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...

Projects

Apr-2023 to Present

Real-Time Smart Parking Management for Nirma University

Conference/Seminar/STTP/FDP/Symposium/Workshop

Conference

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.