Dr. Meenal Jain

Biography

Highly ambitious researcher with a background in machine learning. Expertise in data analysis and prediction. Published research papers of the same domain in reputed journals and conferences. During my teaching career, I have taught subjects like Computer Networks, Data Structure, Python, Computer Graphics.

Educational Qualifications

• 2022- Ph.D. (CSE & IT) – Jaypee Institute of Information Technology, Noida
• Domain: “Application of Concept Drift and Distributed Machine Learning for Detection of Anomalies in Network Traffic”.
• 2015 - M. Tech (Computer Science & Engineering) – IPEC, Ghaziabad
• 2009 - B. E (Computer Science & Engineering) – BIST, Bhopal

Work Experience

• Assistant Professor, Jaypee Institute of Information Technology, Noida-62, UP | November 2022-Present
• Assistant Professor, Bennett University, Greater Noida, UP | July 2022-November 2022
• Assistant Professor, KIET, Ghaziabad, UP | August 2021-May 2022

Publications

Journals

• M. Jain, G. Kaur (Deceased), and V. Saxena, “A K-Means Clustering and SVM based Hybrid Concept Drift Detection Technique for Network Anomaly Detection,” Expert Systems with Applications, 2022, p.116510, doi:10.1016/j.eswa.2022.116510. (Indexing: SCI, H Index: 207, Impact Factor: 6.954)
• M.Jain,andG.Kaur,“DistributedAnomalyDetectionusingConceptDriftDetectionbasedHybrid EnsembleTechniquesinStreamedNetworkData,”ClusterComputing,2021,doi:10.1007/s10586-021-03249-9. (Indexing: SCIE, H Index: 50, SJR: 0.41, Impact Factor:3.458)
• G. Kaur, and M. Jain, “A Comparison of Two Blending-Based Ensemble Techniques for Network Anomaly Detection in Spark Distributed Environment,” International Journal of Ad Hoc and Ubiquitous Computing, vol. 35, no. 2, pp. 71-83, 2020, doi: 10.1504/IJAHUC.2020.109794. (Indexing: SCIE, H Index: 24, SJR: 0.22, Impact Factor: 0.714)

Conferences

• M. Jain, and G. Kaur, “A Novel Distributed Semi-Supervised Approach for Detection of Network Based Attacks,” 2019 9th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, 2019, pp. 120-125, doi: 10.1109/CONFLUENCE.2019.8776616.
• M. Jain, and K. C. Tripathi, “Auto Associative Neural Networks for Nonlinear Principal Components Analysis of Sea Surface Temperature Anomalies in Indian Ocean,”Proceedings of the 9th International Conference on Advances in Soft Computing, E-Learning, Information and Communication Technology, 20th June, 2015, PP.58-60.
• M. Jain et al., “Machine Learning -based Model for Predicting Failure of Physical Machines in Cloud Computing,” Proceedings of the 3rd International Conference on Flexible Electronics on Electric Vehicles, Springer, 28th July, 2022.

Patent

• A System For Detecting Concept Drift And Network Based Attacks In The Network Traffic,” Patent Number: 202022100122 German Patent, Granted on 2022.