Mrs. A. S. Kulkarni


NAME : Mrs. Aparna Shrikant Kulkarni
DESIGNATION : Assistant Professor
QUALIFICATION : M.E. (Computer Engineering) Ph. D. (Pursuing)

  • ME (Computer Engineering), SRTMU Nanded, 2018.
  • B.Tech. (Computer science and Engineering), SRTMU Nanded, 2008.

OVERVIEW OF PROFILE :

Mrs. Aparna Shrikant Kulkarni is Assistant Professor in the School of Computer Engineering and Technology, MIT Academy of Engineering. She received B.Tech. in Computer science and Engineering with First Class in 2008 from Shri Guru Gobind Singhji Institute of Technology,Nnaded and M. E. in Computer Engineering in 2018 from Matoshri Pratishthan's College of Engineering,Nanded , and pursuing Doctor of Philosophy from Symbiosis International Deemed University,Lavale,Pune

FORE FRONT AREA OF RESEARCH : Machine Learning, Deep Learning
EMAIL ID : aparna.kulkarni@mitaoe.ac.in
CONTACT NO : 02030253500
EXPERIENCE : Teaching: 14, Industry: 00, Research: 00


  • GATE 2012 Qualified.
  • Nominated for “Best Researcher Award” under the category of International Research Awards on Cybersecurity and Cryptography.

RESEARCH PROJECTS

  • “Development of Application program to simplify the use of Unified Development Control and Promotion Regulations Maharashtra State” (Seed funding received Rs. 2.2 Lakhs in 2022).
  • “Feature relevance analysis for traffic classification in flow based intrusion detection system” (Seed funding received 60K in 2018.

PUBLICATIONS

  • “Feature selection using principal component analysis and genetic algorithm”, Journal of Discrete Mathematical Sciences and Cryptography (eSCI and Scopus Journal), Volume-23, Issue-2, 2020, pp.-595-602.
  • Ensemble of Bio-inspired Algorithm with Statistical Measures for Feature Selection to Design a Flow-Based Intrusion Detection System”, The International Journal of Next-Generation Computing (eSCI), Volume-13, Issue-4, 2022, pp.-901-912.
  • “Ensemble of Statistically Based Methods for Identifying Features in Intrusion Detection System”, DEGRES JOURNAL, ISSN NO:0376-8163, vol. 9, Issue 4, 2024, ISSN NO:0376-8163

BOOK CHAPTERS


  • “Feature Engineering for Flow‐Based IDS”, Book Title- Wireless Communication Security, Publisher- John Wiley & Sons, Inc., 2022, pp. 69-90.

INTERNATIONAL CONFERENCES

  • “Feature Selection Based on Hall of Fame Strategy of Genetic Algorithm for Flow-Based IDS”, In: Shukla, S., Unal, A., Kureethara, J.V., Mishra, D.K., Han, D.S. (eds) Data Science and Security. Lecture Notes in Networks and Systems, vol. 290. Springer, Singapore.
  • "An Intrusion Detection System for Zero-Day Attacks to Reduce False Positive Rates," 2022 International Conference for Advancement in Technology (ICONAT), 2022, pp. 1-6.
  • "Ensemble Based Feature Selection Technique for Flow Based Intrusion Detection System," 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022, pp. 1-4.
  • "Performance-Based Feature Selection Using Decision Tree," 2019 International Conference on Innovative Trends and Advances in Engineering and Technology (ICITAET), 2019, pp. 135-138.
  • "Ensemble-Based Filter Feature Selection Technique for Building Flow-Based IDS," 2021 2nd International Conference on Advances in Computing, Communication, Embedded and Secure Systems (ACCESS), 2021, pp. 324-328.

PAPERS ACCEPTED FOR PUBLICATION

  • “Exploring the Efficiency: A Comprehensive Analysis of Machine Learning Algorithms in WEKA Software” accepted for Special Issue On: Data Analytics For Sustainable Management Systems, Journal Of Statistics And Management Systems (JSMS).