Mukta Nivelkar

Dr. Mukta Nivelkar

Ph.D. Programme in Computer Engineering and IT
Ph.D. Completion: October 28, 2024
Guide: Dr. Sunil Bhirud

Contact

Biography

MUKTA NIVELKAR studied the University of Mumbai in India, where she earned both a Bachelor of Engineering degree and a Master of Engineering degree with an emphasis on Information Technology. She received a PhD in computer engineering from Veermata Jijabai Technological Institute (VJTI) in Mumbai, India. As of the year 2007, she has been working as an Assistant Professor in the Department of Information Technology at the Fr. Conceicao Rodrigues Institute of Technology, which is located in Navi Mumbai, India. Artificial intelligence, machine learning, quantum computing, quantum machine learning, cloud physics, and droplet dynamics by quantum techniques are some of the areas of study that she is interested in. Her appears on a number of publications, book chapters and patents.

Academic Information (Degrees/Education)

Ph.D in Computer Engineering, VJTI Mumbai
ME in IT, Mumbai University

Area of Research

Quantum Computing, Quantum Machine Learning , Artificial Intelligence, Cloud physics Theory.

Research Interests

Applied Quantum Theories

Professional Affiliation

Assistant Professor, Fr. Conceicao Rodrigues Institute of Technology, Vashi, Navi Mumbai.

Professional Experience

Teaching Experience: 18 Years

Publications

Sr. No.Details of papers publishedJournal/StatusIndexYear
1M. Nivelkar, S. Bhirud, M. Singh, R. Ranjan and B. Kumar, “Quantum Computing to Study Cloud Turbulence Properties,” in IEEE Access, vol. 11, pp. 70679-70690, 2023, doi: 10.1109/ACCESS.2023.3289924. [Q1]PublishedScopus SCI indexed2023
2M. Nivelkar, S. Bhirud, M. Singh, R. Ranjan and B. Kumar (2023), “Investigation and statistical analysis of cloud droplet dynamics using quantum computing.” Journal of Computer Science”, Science Publication. DOI: https://doi.org/10.3844/jcssp.2024.344.356PublishedScopus SCI indexed2023
3Nivelkar M., Bhirud S.G. (2023), “Investigation on the Significance of Incorporating Quantum Computing Technology into the Prevailing Curriculum” East African Scholars Journal of Engineering and Computer Sciences Volume-7-Issue-03 DOI: 10.36349/easjecs. 2024.v07i03.001PublishedScopus indexed2024
Sr. No.Details of papers publishedJournal/StatusIndexYear
1M. Nivelkar and S. G. Bhirud, “Optimized Machine Learning: Training and Classification Performance Using Quantum Computing,” 2021 IEEE 6th International Conference on Computing, Communication and Automation (ICCCA), 2021, pp. 8-13, doi: 0.1109/ICCCA52192.2021.9666429.PublishedScopus indexed2021
2Mukta Nivelkar and S. G. Bhirud. “Modeling of Supervised Machine Learning using Mechanism of Quantum Computing.” Journal of Physics: Conference Series, Volume 2161, 1st International Conference on Artificial Intelligence, Computational Electronics and Communication System (AICECS 2021) 28-30 October 2021, Manipal, India. Citation 2022 J. Phys.: Conf. Ser. 2161 012023 doi:10.1088/1742-6596/2161/1/012023 [Q3]Journal of conference series PublishedScopus indexed2021
3Nivelkar M., Bhirud S.G. (2022) Quantum Computing and Machine Learning: In Future to Dominate Classical Machine Learning Methods with Enhanced Feature Space for Better Accuracy on Results.” Lecture Notes in Networks and Systems, vol 301. Springer, Singapore. https://doi.org/10.1007/978-981-16-4863-2_13PublishedScopus indexed2022
4Nivelkar M., Bhirud S.G. (2022) Supervised Machine Learning Strategies for Investigation of Weird Pattern Formulation from Large Volume Data Using Quantum Computing. In: Bianchini M., Piuri V., Das S., Shaw R.N. (eds) Advanced Computing and Intelligent Technologies. Lecture Notes in Networks and Systems, vol 218. Springer, Singapore. https://doi.org/10.1007/978-981-16-2164-2_45PublishedScopus indexed2022
Sr. No.Details of PatentsJournal/StatusIndexYear
1Patent Titled on “System and method for analysis of cloud droplet dynamics in high and low vorticity region using direct numeric simulation (DNS) data” Published on March 2023.Granted in September 2023GoogleSeptember 2023
Sr. No.Details of Papers PublishedBook NameIndexYear
1Manuscript No: (2023/BP/2484G), entitled: The Utilization of Quantum Computing Methods for the Implementation of Supervised Machine Learning Frameworks.” DOI: 10.9734/bpi/taer/v2Theory and Application of Engineering Research vol2Google scholarNovember 2023
Sr. No.Details of Papers PublishedJournal/StatusIndexYear
1Mukta Nivelkar, Sunil Bhirud, Bipin Kumar, & Rahul Ranjan. (2023). Direct Numeric Simulation dataset archives [Data set]. Zenodo. https://doi.org/10.5281/zenodo.8219000Dataset publishedGoogleAugust Zenodo 2023

Connect Us

Get in touch​

TPO

Copyright © 2024 VJTI, Mumbai. All rights reserved.