A record of the work.

BAKER: Bayesian Kernel Uncertainty in Domain-Specific Document Modelling

U Azam, I Razzak, S Vishwakarma, H Hacid, D Zhang, S Jameel

Proceedings of the Eighteenth ACM International Conference on Web Search and …

Uncertainty Modelling in Under-Represented Languages with Bayesian Deep Gaussian Processes

U Azam, I Razzak, S Vishwakarma, S Jameel

Proceedings of the 31st International Conference on Computational …

Advancements in Non-Invasive Neuroimaging: Exploring the Potential of Radar Technology for Brain Imaging and Tumour Detection

K Peart, I Bodala, S Vishwakarma

2024 46th Annual International Conference of the IEEE Engineering in …

BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction

U Azam, I Razzak, S Vishwakarma, H Hacid, D Zhang, S Jameel

arXiv preprint arXiv:2404.10481

From Uncertainty to Trust: Kernel Dropout for AI-Powered Medical Predictions

U Azam, I Razzak, S Vishwakarma, H Hacid, D Zhang, S Jameel

arXiv preprint arXiv:2404.10483

Guest Editorial: Advances in AI‐assisted radar sensing applications

S Vishwakarma, K Chetty, J Le Kernec, Q Chen, R Adve, SZ Gurbuz, W Li, ...

IET Radar, Sonar & Navigation 18 (2), 235-238

Reference-Free Passive RF Imaging Using Near-Field Spatial Processing

P Brennan, K Chetty, W Li, S Vishwakarma, F Colone, A Amiri

2024 International Conference on Computing, Internet of Things and Microwave …

RF-Pointer: A Novel Approach to Radio-Frequency Driven Pointer Technology for HCI

E Dsouza, K Chetty, S Vishwakarma

2024 IEEE Radar Conference (RadarConf24), 1-6

Speaker identification using Ultra‐Wideband measurement of voice

H Li, C Tang, S Vishwakarma, Y Ge, W Li

IET Radar, Sonar & Navigation 18 (2), 266-276

Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty

U Azam, I Razzak, S Vishwakarma, H Hacid, D Zhang, S Jameel

International Conference on Web Information Systems Engineering, 326-337

Attention‐enhanced Alexnet for improved radar micro‐Doppler signature classification

S Vishwakarma, W Li, C Tang, K Woodbridge, RR Adve, K Chetty

IET radar, sonar & navigation 17 (4), 652-664

MDPose: Human skeletal motion reconstruction using WiFi micro-Doppler signatures

C Tang, W Li, S Vishwakarma, F Shi, S Julier, K Chetty

IEEE Transactions on Aerospace and Electronic Systems 60 (1), 157-167

A High-Speed Multi-Purpose Software Defined Radar for Near-Field Applications

W Li, C Tang, S Vishwakarma, F Shi, R Piechocki, K Chetty

2022 IEEE Radar Conference (RadarConf22), 1-6

Design of high‐speed software defined radar with GPU accelerator

W Li, C Tang, S Vishwakarma, K Woodbridge, K Chetty

IET Radar, Sonar & Navigation 16 (7), 1083-1094

Learning salient features in radar micro-Doppler signatures using Attention Enhanced Alexnet

S Vishwakarma, W Li, R Adve, K Chetty

International Conference on Radar Systems (RADAR 2022) 2022, 190-195

OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors

MJ Bocus, W Li, S Vishwakarma, R Kou, C Tang, K Woodbridge, ...

Scientific data 9 (1), 474

People counting using multistatic passive WiFi radar with a multi-input deep convolutional neural network

S Vishwakarma, S Julier, K Chetty

People counting using multistatic passive WiFi radar with a multi-input deep convolutional neural network

C Tang, W Li, S Vishwakarma, F Shi, S Julier, K Chetty

Radar Sensor Technology XXVI

Pi-NIC: Indoor sensing using synchronized off-the-shelf wireless network interface cards and Raspberry Pis

F Shi, W Li, A Amiri, S Vishwakarma, C Tang, P Brennan, K Chetty

2022 2nd IEEE International Symposium on Joint Communications & Sensing (JC …

Realistic Micro-Doppler Database Generation Through Neural Style Transfer Framework

S Vishwakarma, K Chetty

Augmenting experimental data with simulations to improve activity classification in healthcare monitoring

C Tang, S Vishwakarma, W Li, R Adve, S Julier, K Chetty

2021 IEEE Radar Conference (RadarConf21), 1-6

FMNet: Latent feature-wise mapping network for cleaning up noisy micro-Doppler spectrogram

C Tang, W Li, S Vishwakarma, F Shi, SJ Julier, K Chetty

IEEE Transactions on Geoscience and Remote Sensing 60, 1-12

Gan based noise generation to aid activity recognition when augmenting measured wifi radar data with simulations

S Vishwakarma, C Tang, W Li, K Woodbridge, R Adve, K Chetty

2021 IEEE International Conference on Communications Workshops (ICC …

Human micro-Doppler signature classification in the presence of a selection of jamming signals

D Dhulashia, M Ritchie, S Vishwakarma, K Chetty

2021 IEEE Radar Conference (RadarConf21), 1-6

Learning from natural noise to denoise micro-Doppler spectrogram

C Tang, W Li, S Vishwakarma, K Woodbridge, S Julier, K Chetty

arXiv preprint arXiv:2102.06887

Neural style transfer enhanced training support for human activity recognition

S Vishwakarma, W Li, C Tang, K Woodbridge, R Adve, K Chetty

arXiv preprint arXiv:2107.12821

SimHumalator: An open-source end-to-end radar simulator for human activity recognition

S Vishwakarma, W Li, C Tang, K Woodbridge, R Adve, K Chetty

IEEE Aerospace and Electronic Systems Magazine 37 (3), 6-22

Sparsity‐based autoencoders for denoising cluttered radar signatures

SS Ram, S Vishwakarma, A Sneh, K Yasmeen

IET Radar, Sonar & Navigation

Using RF transmissions from IoT devices for occupancy detection and activity recognition

W Li, S Vishwakarma, C Tang, K Woodbridge, RJ Piechocki, K Chetty

IEEE Sensors Journal 22 (3), 2484-2495

A taxonomy of WiFi sensing: CSI vs passive WiFi radar

W Li, MJ Bocus, C Tang, S Vishwakarma, RJ Piechocki, K Woodbridge, ...

2020 IEEE Globecom Workshops (GC Wkshps, 1-6

Doppler-resilient 802.11 ad-based ultrashort range automotive joint radar-communications system

G Duggal, S Vishwakarma, KV Mishra, SS Ram

IEEE Transactions on Aerospace and Electronic Systems 56 (5), 4035-4048

Learning algorithms for micro-doppler radar based detection, classification and imaging of humans in indoor environments

S Vishwakarma

Ph. D. dissertation, Indraprastha Institute of Information Technology, Delhi …

Micro-Doppler signatures of dynamic humans from around the corner radar

S Vishwakarma, A Rafiq, SS Ram

Proc. IEEE Int. Radar Conf.(RADAR), 169-174

Mitigation of through-wall distortions of frontal radar images using denoising autoencoders

S Vishwakarma, SS Ram

IEEE transactions on geoscience and remote sensing 58 (9), 6650-6663

Occupancy detection and people counting using WiFi passive radar

C Tang, W Li, S Vishwakarma, K Chetty, S Julier, K Woodbridge

2020 IEEE Radar Conference (RadarConf20), 1-6

Transfer learning from audio deep learning models for micro-doppler activity recognition

K Ton-Tran, L Griffin, K Chetty

IEEE

Clutter mitigation in range enhanced radar images using sparsity based denoising autoencoders

S Vishwakarma, N Pandey, SS Ram

2019 International Radar Conference (RADAR), 1-6

Dictionary learning with low computational complexity for classification of human micro-Dopplers across multiple carrier frequencies

S Vishwakarma, SS Ram

IEEE Access 6, 29793-29805

Mitigation of through-wall interference in radar images using denoising autoencoders

S Vishwakarma, V Ummalaneni, MS Iqbal, A Majumdar, SS Ram

2018 IEEE Radar Conference (RadarConf18), 1543-1548

Simulation of the radar cross-section of dynamic human motions using virtual reality data and ray tracing

AD Singh, SS Ram, S Vishwakarma

2018 IEEE Radar Conference (RadarConf18), 1555-1560

Co-channel interference between WiFi and through-wall micro-Doppler radar

AD Singh, S Vishwakarma, SS Ram

2017 IEEE Radar Conference (RadarConf), 1297-1302

Detection of multiple movers based on single channel source separation of their micro-Dopplers

S Vishwakarma, SS Ram

IEEE Transactions on Aerospace and Electronic Systems 54 (1), 159-169

Dictionary learning for classification of indoor micro-Doppler signatures across multiple carriers

S Vishwakarma, SS Ram

2017 IEEE Radar Conference (RadarConf), 0992-0997

Classification of multiple targets based on disaggregation of micro-doppler signatures

S Vishwakarma, SS Ram

2016 Asia-Pacific Microwave Conference (APMC), 1-4