Specialization

Machine Learning, Deep Learning and Fog Computing

Email

subhsubhbawa@gmail.com

Education
1.    PhD in Computer Science and Engineering from Thapar Institute of Engineering and Technology, Patiala
o    Title – An Optimized Approach for Energy Consumption of Smart Devices in Fog Computing using Computational Intelligence Techniques
2.    M. Tech. in Computer Science and Engineering from Punjabi University, Patiala.
3.    B. Tech. in Computer Science and Engineering from Guru Kashi University, Talwandi Sabo.

Experience
1.    Junior Research Fellow funded by UGC, at Thapar Institute of Engineering and Technology, Patiala, India (July 2018 – August 2020).
2.    Senior Research Fellow funded by UGC, at Thapar Institute of Engineering and Technology, Patiala,  India.(September 2020 – August 2023)

Journal Publications (SCI/SCIE)

1.    Shabnam Bawa, Prashant Singh Rana, and Raj Kumar Tekchandani, “Multivariate time series ensemble model for load prediction on hosts using anomaly detection techniques”, Cluster Computing, Springer, 1-24, 2024. DOI: 10.1007/s10586-024-04517-0.[SCI, IF 3.6, Published]

1.    Shabnam Bawa, Prashant Singh Rana, and Raj Kumar Tekchandani, “Migration of Containers on the Basis of Load Prediction with Dynamic Inertia Weight based PSO Algorithm”, Cluster Computing, Springer, 1-25, 2024. DOI: 10.1007/s10586-024-04676-0. [SCI, IF 3.6, Published]

2.    Shabnam Bawa, Prashant Singh Rana, and Raj Kumar Tekchandani, “Multilevel Ensemble Model for Load Prediction on Hosts in Fog Computing Environment”, Computing and Informatics, Slovak Academy of Sciences, 1-28, 2024. DOI: 10.31577/cai_2024_5_1053. [SCIE, IF 0.7, Published]

Journal Publications (UGC)

•    Gurpreet Singh Josan and Shabnam Bawa, (2017) “Automatic Mood Classification of Punjabi Poems Using Supervised Approach” CSI Journal of Computing, Vol. 4, pp. 34-42, 2017.