Role
Pramod Gaur is a Senior Lecturer in Computer Science who teaches content on the following modules:
- Machine learning
- Deep learning
- Applied AI
- Data mining.
Career overview
Before NTU, he worked as an Assistant Professor from Dec 2020 to Feb 2024 in the Department of Computer Science, BITS Pilani Dubai Campus, Dubai, UAE, and as an Assistant Professor from Aug 2019 to Dec 2020 in the Department of Computer Science, The LNMIIT Jaipur, India. He was a Postdoctoral RA at the Intelligent Systems Research Center, Ulster University, United Kingdom, from Aug 2017 to Aug 2019.
Research areas
Dr Pramod Gaur is an active member of the Cyber Security Research Group (CSRG) at the Department of Computer Science https://www.ntu.ac.uk/research/groups-and-centres/groups/cyber-security-research-group-csrg.
External activity
Dr Pramod received a Faculty Research Grant (FRG-24) of 75000 AED from Amity Internal Funding as Co-PI in collaboration with Amity University, Dubai, UAE.
Publications
Please click/see my Pramod Gaur - Google Scholar for the complete list and recent publications.
A multi-class EEG-based BCI classification using multivariate empirical mode decomposition based filtering and Riemannian geometry, P Gaur, RB Pachori, H Wang, G Prasad , Expert Systems with Applications 95, 201-211.
A sliding window common spatial pattern for enhancing motor imagery classification in EEG-BCI , P Gaur, H Gupta, A Chowdhury, K McCreadie, RB Pachori, H Wang, IEEE Transactions on Instrumentation and Measurement 70, 1-9.
An empirical mode decomposition based filtering method for classification of motor-imagery EEG signals for enhancing brain-computer interface, P Gaur, RB Pachori, H Wang, G Prasad, 2015 International joint conference on neural networks (IJCNN), 1-7.
An automatic subject specific intrinsic mode function selection for enhancing two-class EEG-based motor imagery-brain computer interface, P Gaur, RB Pachori, H Wang, G Prasad, IEEE Sensors Journal 19 (16), 6938-6947.
Tangent space features-based transfer learning classification model for two-class motor imagery brain–computer interface, P Gaur, K McCreadie, RB Pachori, H Wang, G Prasad,
Course(s) I teach on
-
Undergraduate | Full-time / Sandwichhttps://www.ntu.ac.uk/course/science-and-technology/ug/bsc-hons-computer-science