Bela Shrimali
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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.
Skills & Expertise
Cloud computing
Blockchain
Internet of Things (IoT)
Ethereum
Research Interests
Theory and Methods
Connect With Me
Experience
Assistant Professor
Education
C. U. Shah University, Wadhwan
Projects
Real-Time Smart Parking Management for Nirma University
Conferences & Seminars (1)
Neural Network Based Diagnostic Approach for Cervical Cancer Cell Stratification From Pap Smear Images
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.
Publications (1)
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 stakehold...
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