Ambiguity functions, processing gains, and Cramer-Rao bounds for matched illumination radar signals. - Avik Santra; Rajan Srinivasan; Kaushal Jadia; Guillaume Alléon (IEEE Trans. Aerosp. Electron. Syst., 2015)

SINR performance of matched illumination signals with dynamic target models. - Avik Santra; Raja Santhanakumar; Kaushal Jadia; Rajan Srinivasan (ICASSP, 2016)

A Novel Subspace Based Method for Compensation of Multiple CFOs in Uplink MIMO OFDM Systems. - Avik Santra; K. V. S. Hari (IEEE Commun. Lett., 2017)

Radar Gesture Recognition System in Presence of Interference using Self-Attention Neural Network. - Souvik Hazra; Avik Santra (ICMLA, 2019)

Radar-Based Non-intrusive Fall Motion Recognition using Deformable Convolutional Neural Network. - Yogesh Shankar; Souvik Hazra; Avik Santra (ICMLA, 2019)

Radar-Based Human Target Detection using Deep Residual U-Net for Smart Home Applications. - Michael Stephan; Avik Santra (ICMLA, 2019)

Short-Range Radar-Based Gesture Recognition System Using 3D CNN With Triplet Loss. - Souvik Hazra; Avik Santra (IEEE Access, 2019)

Radar Trajectory-based Air-Writing Recognition using Temporal Convolutional Network. - Muhammad Arsalan; Avik Santra; Vadim Issakov (ICMLA, 2020)

Air-Writing with Sparse Network of Radars using Spatio-Temporal Learning. - Muhammad Arsalan; Avik Santra; Kay Bierzynski; Vadim Issakov (ICPR, 2020)

Radar Image Reconstruction from Raw ADC Data using Parametric Variational Autoencoder with Domain Adaptation. - Michael Stephan; Thomas Stadelmayer; Avik Santra; Georg Fischer 001; Robert Weigel; Fabian Lurz (ICPR, 2020)

Human Activity Classification Using mm-Wave FMCW Radar by Improved Representation Learning. - Thomas Stadelmayer; Markus Stadelmayer; Avik Santra; Robert Weigel; Fabian Lurz (mmNets, 2020)

Space-Time Waveform Coding for Joint Radar and Wireless Communications (RadCom) Applications. - Jan Mietzner; Avik Santra (WCNC, 2020)

COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19. - Manu Siddhartha; Avik Santra (CoRR, 2020)

Ambiguity function and imaging performance of coded FMCW waveforms with fast 4D receiver processing in MIMO radar. - Avik Santra; Alexander Rudolf Ganis; Jan Mietzner; Volker Ziegler (Digit. Signal Process., 2020)

Radar-Based Gesture Recognition System using Spiking Neural Network. - Muhammad Arsalan; Avik Santra; Mateusz Chmurski; Moamen El-Masry; Gianfranco Mauro; Vadim Issakov (ETFA, 2021)

Improved Target Detection and Feature Extraction using a Complex-Valued Adaptive Sine Filter on Radar Time Domain Data. - Thomas Stadelmayer; Avik Santra; Markus Stadelmayer; Robert Weigel; Fabian Lurz (EUSIPCO, 2021)

Integrated Classification and Localization of Targets Using Bayesian Framework In Automotive Radars. - Anand Dubey; Avik Santra; Jonas Fuchs; Maximilian Lübke; Robert Weigel; Fabian Lurz (ICASSP, 2021)

Improved Deep Representation Learning for Human Activity Recognition using IMU Sensors. - Niall Lyons; Avik Santra; Ashutosh Pandey (ICMLA, 2021)

People Counting Solution Using an FMCW Radar with Knowledge Distillation From Camera Data. - Michael Stephan; Souvik Hazra; Avik Santra; Robert Weigel; Georg Fischer 001 (IEEE SENSORS, 2021)

Bayesradar : Bayesian Metric-Kalman Filter Learning for Improved and Reliable Radar Target Classification. - Anand Dubey; Avik Santra; Jonas Fuchs; Maximilian Lübke; Robert Weigel; Fabian Lurz (MLSP, 2021)

Analysis of Edge-Optimized Deep Learning Classifiers for Radar-Based Gesture Recognition. - Mateusz Chmurski; Mariusz Zubert; Kay Bierzynski; Avik Santra (IEEE Access, 2021)

A Bayesian Framework for Integrated Deep Metric Learning and Tracking of Vulnerable Road Users Using Automotive Radars. - Anand Dubey; Avik Santra; Jonas Fuchs; Maximilian Lübke; Robert Weigel; Fabian Lurz (IEEE Access, 2021)

Highly-Optimized Radar-Based Gesture Recognition System with Depthwise Expansion Module. - Mateusz Chmurski; Gianfranco Mauro; Avik Santra; Mariusz Zubert; Gökberk Dagasan (Sensors, 2021)

Label-Aware Ranked Loss for Robust People Counting Using Automotive In-Cabin Radar. - Lorenzo Servadei; Huawei Sun; Julius Ott; Michael Stephan; Souvik Hazra; Thomas Stadelmayer; Daniela Sanchez Lopera; Robert Wille; Avik Santra (ICASSP, 2022)

Contactless Low Power Air-Writing Based on FMCW Radar Networks Using Spiking Neural Networks. - Muhammad Arsalan; Tao Zheng; Avik Santra; Vadim Issakov (ICMLA, 2022)

XAI-BayesHAR: A novel Framework for Human Activity Recognition with Integrated Uncertainty and Shapely Values. - Anand Dubey; Niall Lyons; Avik Santra; Ashutosh Pandey (ICMLA, 2022)

Uncertainty-based Meta-Reinforcement Learning for Robust Radar Tracking. - Julius Ott; Lorenzo Servadei; Gianfranco Mauro; Thomas Stadelmayer; Avik Santra; Robert Wille (ICMLA, 2022)

Utilizing Explainable AI for improving the Performance of Neural Networks. - Huawei Sun; Lorenzo Servadei; Hao Feng; Michael Stephan; Avik Santra; Robert Wille (ICMLA, 2022)

Robust Representations for Keyword Spotting Systems. - Aidan Smyth; Niall Lyons; Ted Wada; Robert Zopf; Ashutosh Pandey; Avik Santra (ICPR, 2022)

Cross-modal Learning of Graph Representations using Radar Point Cloud for Long-Range Gesture Recognition. - Souvik Hazra; Hao Feng; Gamze Naz Kiprit; Michael Stephan; Lorenzo Servadei; Robert Wille; Robert Weigel; Avik Santra (SAM, 2022)

XAI-Increment: A Novel Approach Leveraging LIME Explanations for Improved Incremental Learning. - Arnab Neelim Mazumder; Niall Lyons; Anand Dubey; Ashutosh Pandey; Avik Santra (CoRR, 2022)

Cognitive Architectures, Processing and Learning Algorithms for Intelligent Radar Solutions (Kognitive Architekturen, Verarbeitungsund Lernalgorithmen für Intelligente Radar-Lösungen) - Avik Santra (2022)

Harnessing the Power of Explanations for Incremental Training: A LIME-Based Approach. - Arnab Neelim Mazumder; Niall Lyons; Ashutosh Pandey; Avik Santra; Tinoosh Mohsenin (EUSIPCO, 2023)

MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. - Julius Ott; Lorenzo Servadei; Jose A. Arjona-Medina; Enrico Rinaldi; Gianfranco Mauro; Daniela Sanchez Lopera; Michael Stephan; Thomas Stadelmayer; Avik Santra; Robert Wille (ICASSP, 2023)

Out-of-Distribution Detection for Radar-based Gesture Recognition Using Metric-Learning. - Thomas Stadelmayer; Lorenzo Servadei; Avik Santra; Robert Weigel; Fabian Lurz (RWS, 2023)

Power-efficient gesture sensing for edge devices: mimicking fourier transforms with spiking neural networks. - Muhammad Arsalan; Avik Santra; Vadim Issakov (Appl. Intell., 2023)

WIFIACT: Enhancing Human Sensing Through Environment Robust Preprocessing And Bayesian Self-Supervised Learning. - Niall Lyons; Avik Santra; Vikram Kumar Ramanna; Kiran Uln; Rakesh Taori; Ashutosh Pandey (ICASSP, 2024)

Low Power Gesture Sensing System Based on Target Range Using Spiking Neural Networks for Portable Devices. - Muhammad Arsalan; Avik Santra; Vadim Issakov (RWS, 2024)

Lightweight and Person-Independent Radar-Based Hand Gesture Recognition for Classification and Regression of Continuous Gestures. - Thomas Stadelmayer; Youcef Hassab; Lorenzo Servadei; Avik Santra; Robert Weigel; Fabian Lurz (IEEE Internet Things J., 2024)

WiSenseNet: A Unified Foundation Model for Diverse Wi-Fi Sensing Tasks Using Channel State Information. - Niall Lyons; Ashutosh Pandey; Avik Santra (ICASSP, 2025)

Data-driven Processing using Parametric Neural Network for Improved Bluetooth Channel Sounding Distance Estimation. - Andrii Tsemko; Avik Santra; Oleg Kapshii; Ashutosh Pandey (ICASSP, 2025)