Area of research
Aerospace Engineering · Signal Processing
Research interest
Research interests include Radar Systems and Signal Processing, Advanced SAR Imaging Techniques, Direction-of-Arrival Estimation Techniques, and Microwave Imaging and Scattering Analysis.
Advancing Single-Snapshot DOA Estimation with Siamese Neural Networks for Sparse Linear Arrays
Model-Based Knowledge-Driven Learning Approach for Enhanced High-Resolution Automotive Radar Imaging
Model-Based Learning for DOA Estimation With One-Bit Single-Snapshot Sparse Arrays
Signal Processing Challenges in Automotive Radar
Advancing High-Resolution and Efficient Automotive Radar Imaging through Domain-Informed 1D Deep Learning
A Game-Theoretic Approach for High-Resolution Automotive FMCW Radar Interference Avoidance
Deep Frequency Attention Networks for Single Snapshot Sparse Array Interpolation
Multidimensional Beamspace Processing for FMCW Automotive Radar
Reconfigurable Beamforming for Automotive Radar Sensing and Communication: A Deep Reinforcement Learning Approach
Antenna Failure Resilience: Deep Learning-Enabled Robust DOA Estimation with Single Snapshot Sparse Arrays
Automotive Radar Sensing with Sparse Linear Arrays Using One-Bit Hankel Matrix Completion
Widely Separated MIMO Radar Using Matrix Completion
Performance Evaluation and Analysis of Thresholding-Based Interference Mitigation for Automotive Radar Systems
IHT-Inspired Neural Network for Single-Snapshot DOA Estimation with Sparse Linear Arrays
Identical Partitioning of Consecutive Integer Set
Tensor Reconstruction-Based Sparse Array 2-D DOA Estimation of Mixed Coherent and Uncorrelated Signals
High-Resolution DOA Estimation Using Single-Snapshot Music for Automotive Radar with Mixed-ADC Allocations
Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array
Deep Neural Networks-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging
Automotive FMCW Radar With Difference Co-Chirps
Interpretable and Efficient Beamforming-Based Deep Learning for Single-Snapshot DOA Estimation
Joint Antenna Selection and Beamforming in Integrated Automotive Radar Sensing-Communications with Quantized Double Phase Shifters
Deep Learning Based Computationally Efficient Unrolling IAA for Direction-of-Arrival Estimation
4D Automotive Radar Exploiting Sparse Array Optimization and Compressive Sensing
Fast Forward-Backward Hankel Matrix Completion for Automotive Radar DOA Estimation Using Sparse Linear Arrays
Generalized Optimization of Sparse Antenna Arrays for High-Resolution Automotive Radar Imaging
Time-Sensitive and Distance-Tolerant Deep Learning-Based Vehicle Detection Using High-Resolution Radar Bird's-Eye-View Images
Coprime Visible Regions Assisted Angle Unfolding for Sparse ESPRIT
Investigation of modified uni-traveling carrier photodiode for cryogenic microwave photonic links
1 + 1 is Greater Than 2: Collaborative Automotive Radar Imaging Exploiting Spatial Diversity