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Mukesh Patel School of Technology Management and Engineering
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SM Handles:
Educational Qualification (highest):
  • PhD.(CSE)
  • M. Tech(CSE)

Area of Research : Data Mining, Artificial Intelligence, Natural Language Processing

Department: Computer Engineering

Ph.D. Scholar: Number of PhD Scholars Guided: 02
  1. Mrs. Vikaylaxmi Bittal (2022), Research Area: Explainable Artificial Intelligence
  2. Mrs. Asmita Bhupesh Marathe(2022), Research Area: Natural Language Processing
M. Tech Students Guided:
  1. Number of Post-Graduate Students Guided:10
  2. Guiding many B. Tech /MCA level Projects and Internship
Basic Information:
  • Email_Id (Official): Soni.sweta@nmims.edu
  • Landline extension: 110564
  • Desk (location): Room No-401, Cubical-09
About (Awards, Patents, Committees):

Patents

  1. Indian Patent: IOT BASED SMART CHOLESTEROL MONITORING DEVICE,(Patent number – 377682-001), Filed: Jan 19,2023, Status: Published.

Committees

  1. AICRA Membership
  2. Life Member, CSI
  3. IEEE Membership
  4. Active Member of Research and development committee
  5. Member of NAAC
  6. Mentoring of many students in their project and internship
  7. Associate Editor, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN:2278-3075(Online) Scopus Index
  8. Active reviewer editor of many renowned and reputed journals
Publications:

Journals

  1. S. Sweta and K.Lal. “Personalised Adaptive Learner Model in E-Learning System Using FCM and Fuzzy Inference System” International Journal of Fuzzy Systems (IJFS), Springer, ISSN No 2199-3211, Vol.19, pages1249–1260,Year-2017) doi: 10.1007/s40815-017-0309-y.SCI Indexed
  2. S. Sweta and S.Sharma, “Performance Evaluation of Priority Based Contention-MAC in Mobile Ad-Hoc Networks” in International journal of Computer Application (IJCA, ISSN 0975-8887.) International Journal of Computer Applications (0975 – 8887) Volume 25– No.1, June 201.UGC-care
  3. S. Sweta and S.Sharma, “Performance Evaluation of Efficient MAC in Mobile Ad-Hoc Networks” in International Journal of Computer Science Issues (IJCSI, ISSN 1694-0814), Impact factor: 0.242 (vol-8,page 299,year-2011) UGC-care
  4. S. Sweta and K. Lal, “Learner Model for Automatic detection of Learning Style Using FCM in Adaptive e-Learning System” International Organization of Scientific Research (IOSR) JCE eISSN -2278-0661, vol. 18, Issue 2, Ver.1 pp: 256–270, 2016.Scopus
  5. S. Sweta and K.Lal, “Adaptive and Personalized Intelligent Learning Interface (APIE-LMS) in e-learning System,” International journal on Applied Engineering and Research: ISSN 0973-4562 Volume 10, Number 21 (2015) pp: 42488-92. SCOPUS
  6. S. Sweta and K. Lal, “Adaptive e-Learning System: A State of Art,” International Journal on Computer Application: ISSN 0975-8887, vol. 107, no. 7, pp. 13–15, 2014, DOI: 10.5120/18762-0046, https://research.ijcaonline.org/volume107/number7/pxc3900046.pdf
  7. S. Sweta and K. Lal, “Classification of Student’s data for Training and Placement Department in Technical Education Using Data Mining Technique” Innovations in Engineering and Management International conclave 2013 ISSN -0275-2631, vol. 11, Issue 3, Ver.2 pp: 330–335, 2013.
  8. S. Sweta, Pandey A.K., “Fuzzy Decision Making System for Better Staff Performance Appraisal in Institutional Organization” Soft Computing: Theories and Applications, AISC-1154, Springer Nature ISSN – 2194-5357, Vol-1, pp: 659–669, 2020 DOI: https://doi.org/10.1007/978-981-15-4032-5_60, Indexed-SCOPUS,(Print ISBN978-981-15-4031-8, Online ISBN 978-981-15-4032-5)
  9. S.Sweta,Ms Shalini Mahato, et al., “Prediction of Learner’s Performance in Adaptive E-Learning System using Learning Analytics” Artificial Intelligence and Machine Learning(ICAML-2020),IOP Science, MSE.,Vol-1049, ISBN1049 012006 DOI: https://doi.org/10.1088/1757-899X/1049/1/012006
  10. Pathak, L.K., Mahato, S. and Sweta, S. (2022). “Technological Dimension of a Smart City”, In Smart City Infrastructure The Blockchain Perspective, Scrivener Publishing Willy, ISBN: 978-1-119-78538-5, page no.-247-266 https://doi.org/10.1002/9781119785569.ch10
  11. V. . Hiremani, R. M. . Devadas, H. . Patil, S. . Patil, S. . Sweta, and V. . Patil, “Hypokinetic Rigid Syndrome Prognosis using Random Forest Classifiers and Support Vector Machines”, Int J Intell Syst Appl Eng, vol. 12, no. 14s, pp. 632–636, Feb. 2024.

Books

  1. S. Sweta “Modern Approach to Education Data mining and Its Applications”, Published by Springer Nature- “Springer Briefs in Computational Intelligence”, https://link.springer.com/book/10.1007/978-981-33-4681-9, eBook ISBN:978-981-334-681-9,DOI:10.1007/978-981-33-4681-9, Series ISSN:2625-3704, Edition Number:1, Number of Pages:XXVII, 93, Publisher: Springer Singapore 2021

Conference Publications

  1. Working as core committee member in organizing International conclave Innovations in Engineering and Management 2013,ICRAD 2019,ICRACT-2022.
  2. S. Sweta, K.Lal, “Optimized Fuzzy Rule-Based System to Measure Uncertainty in Human Decision Making System” Soft Computing: Theories and Applications, AISC-1154, Springer Nature ISSN – 2194-5357, Vol-1, pp: 799–811, 2020, DOI: http://doi.org/10.1007/978-981-15-4032-5_72, Indexed- Scopus. (Print ISBN978-981-15-4031-8, Online ISBN 978-981-15-4032-5)
  3. S. Sweta and K. Lal, “Web Usages Mining in Automatic Detection of Learning Style in Personalized e-Learning System” Advances in Intelligent Systems and Soft Computing Springer ISSN – 2194-5357 pp: 353–63, 2015 doi: 10.1007/978-3-319-27212-2_27.SCOPUS