Padmavati

Padmavati
Department Computer Science & Engineering
Designation Associate Professor
Qualification Ph.D
Research Interests Wireless sensor networks, Internet of Things
Email padmavati@pec.edu.in ( Official )
Phone Number 0172-275-3856 ( Office )

Sr. No. Title
6 "Automated diagnosis of depression from EEG signals using traditional and deep learning approaches: A comparative analysis”, Biocybernetics and Biomedical Engineering, Vol 42, Issue 1, pp. 108-142, March 2022 (SCIE Indexed, Elsevier).
7 "EEG based automatic multi-class classification of epileptic seizure types using recurrence plots”, Expert Systems, Vol 39, Issue 5, pp. 1-31, June 2022 (SCIE Indexed, Wiley).
8 "A novel method for EEG based automated eyes state classification using recurrence plots and machine learning approach",Concurrency and Computation – Practice and Experience, Vol 34, Issue 13, pp. 1-19, June 2022 (SCIE Indexed, Wiley).
Sr. No. Title Agency Duration of Years
1 Machine Learning for prediction of Avalanche Defence Geoinformatics Research Establishment (DGRE), DRDO 1.5
2 Establishment of Computer Vision Lab PEC University of Technology (In house project) 2006-2008
Sr. No. Society Duration
1 Member of ACM
2 Member of IEEE