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

INTEREST AREA(S)

• Machine Learning,
•  Computer Networks
•  Data Structure

PUBLICATIONS

• 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)
• 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)
• M.Jain,andV.Saxena,“AnECOSVSbasedSVMforNetworkAnomalyDetection.,”InternationalJournal of Data Analysis Techniques and Strategies, 2022, doi: https://doi.org/10.1504/ijdats.2022.121513. (Indexing: Scopus, H Index: 15, SJR:0.25)
• 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)
• M. Jain, and G. Kaur, “A Study of Feature Reduction Techniques and Classification for Network Anomaly Detection,” Journal of Computing and Information Technology, vol. 27, no. 4, pp. 1-16, 2019, doi: 10.20532/cit.2019.1004591. (Indexing: Scopus, H Index: 27, SJR: 0.21)
• M. Jain, and G. Kaur, “A Study of Feature Reduction Techniques and Classification for Network Intrusion Detection,” International Journal of Advanced Intelligence Paradigms, 2019, In press. (Indexing:Scopus, H Index: 12, SJR:0.15)
• Patent: M. Jain, “A System for Detecting Concept Drift and Network Based Attacks in The Network Traffic,” 2022, Patent Number: 202022100122 German Patent.

CONFERENCES / WORKSHOPS ATTENDED

• 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, 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 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.
• M. Jain, S. Gupta, G. Agarwal, and K. Bansal, "AdaBoost based hybrid concept drift detection approach for mental health prediction," in Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing, August 2023, pp. 345-351.
• M. Jain, and A. Arora, " A Novel Distributed Anomaly Intrusion Detection Model for Drone Swarm Network Using Hybrid Deep LSTM-IG-SVM Architecture," in Proceedings of the 2023 Second International Conference on Smart Technologies for Smart Nations, August 2023.

PATENT

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

OTHER ACADEMIC ACTIVITIES

• Speaker in Faculty Development Program on “AI Tools”, during June 28– July 03(2023).
• Professional Certificate in “IBM Data Science” from Coursera (July,2022)
• NationalLevelWorkshop:“ATrendtowardsMachineLearning:TechniquesandApplications” (UGCSponsored)fromDec26,2017-Jan1,2018,heldbyDepartmentofComputerScience, Deen Dayal Upadhyaya College, University ofDelhi.
• Attended Faculty Development Program on “Automated Software Development and Delivery using Microservices and Kubernetes”, during 26-31 (2023)
• Attended Three-Day Online Workshop on “Blockchain and Its Applications to Industry 4.0”, during March 18to 20 (2024)
•  Attended Faculty Development Program on “Research Methodology and Tools”, during August 22–26(2022).
• Attended Faculty Development Program on “Principles of Artificial Intelligence, Machine Learning, and Deep Learning”, during November 26–30(2021).
• AttendedFacultyDevelopmentProgramon“Artificial Intelligence and Machine Learning” on November 3(2022).
• AttendedFacultyDevelopmentProgramon“Recent Trends in Computation, Data Processing and Security”, duringJanuary 30 –February 03(2023).
• Attended Two-week Online Summer School on “Cyber Threat Intelligence & Forensics (CTIF)” during July 3- 15 (2023)
• Attended Faculty Development Program on“Inculcating Universal Human Values in Technical Education”, during September 11-15 (2023)