2 citations · 2 across the 11 of their papers we have counts for
15 papers
Q-Capsule: A Localized Capsule-Based Quantum Neural Architecture for Barren Plateau Mitigation
Awal Ahmed Fime, Tasfia Zaman Samiha, Saika Zaman +4
Variational quantum algorithms are often limited by barren plateaus: gradients vanish as circuit size and depth increase, making quantum neural networks difficult to train. We prop…
gr-PHYSEC: Real-time Channel-based Key Generation for Physical Layer Secure Wireless Communications
Jose Angel Sanchez Viloria, George Sklivanitis, Dimitris Pados
Securing wireless communication against eavesdropping is critical, particularly in dynamic and decentralized environments. We present gr-PHYSEC, a new GNU Radio out-of-tree (OOT) m…
Channel-Informed Neural Network for Physical Layer Key Generation
Jose Angel Sanchez Viloria, George Sklivanitis, Dimitris Pados +1
Physical-layer key generation (PKG) enables wireless devices to establish shared keys from reciprocal channel observations without directly exchanging the key. This capability is a…
Designing, Deployment and Field Testing of C2Stack for Networked Intelligent Software-Defined UAVs
Maxwell McManus, Zhaoxi Zhang, Sidharth Santhi Nivas +8
Unmanned Aerial Vehicles (UAVs) are emerging as critical enablers of next-generation wireless networking and autonomous systems. Despite their potential, deploying and testing netw…
Kernel Regression with Tensor Trains and Hadamard Overparameterization
Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1
Kernel regression with tensor trains and Hadamard overparameterization (KReTTaH) is introduced as a training-data-free, interpretable, and nonparametric framework for multi-way dat…
Taxonomy-aware deep learning for hierarchical marine species classification in underwater imagery
Dan Zimmerman, Dimitris A. Pados, George Sklivanitis
Automated classification of marine species from underwater imagery is essential for scalable ocean biodiversity monitoring and conservation policy. Existing approaches struggle wit…
Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition
Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis +1
Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel fr…
StormWave: An Open-Source Portable SDR Platform for Over-the-Air Resilience Evaluation of Terrestrial and Aerial Communications
Yuqing Cui, Zhaoxi Zhang, Sidharth Santhi Nivas +9
This paper presents \emph{StormWave}, an open-source, portable software-defined Radio Frequency (RF) interference generation and monitoring platform designed for realistic field-ba…
Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation
Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis +1
We consider the problems of computing the optimal rank-1 Hankel and Toeplitz-structured approximation of arbitrary matrices under L2 and L1-norm error. Such problems arise naturall…
Demonstration of a 1.2 Gbps Always-on Fully-Connected Mesh Network with RFSoC SDRs
Hatef Nouri, George Sklivanitis, Dimitris A. Pados +1
We design and implement on Radio Frequency System-on-Chip (RFSoC) software-defined radios (SDRs) a complete-graph network of four unmanned aerial vehicles and demonstrate real-time…
Collection: UAV-Based Wireless Multi-modal Measurements from AERPAW Autonomous Data Mule (AADM) Challenge in Digital Twin and Real-World Environments
Md Sharif Hossen, Cole Dickerson, Ozgur Ozdemir +33
In this work, we present an unmanned aerial vehicle (UAV) wireless dataset collected as part of the AERPAW Autonomous Aerial Data Mule (AADM) challenge, organized by the NSF Aerial…
BenchLink: An SoC-Based Benchmark for Resilient Communication Links in GPS-Denied Environments
Sidharth Santhi Nivas, Prem Sagar Pattanshetty Vasanth Kumar, Zhaoxi Zhang +7
Accurate timing and synchronization, typically enabled by GPS, are essential for modern wireless communication systems. However, many emerging applications must operate in GPS-deni…
Kernel Regression of Multi-Way Data via Tensor Trains with Hadamard Overparametrization: The Dynamic Graph Flow Case
Duc Thien Nguyen, Konstantinos Slavakis, Eleftherios Kofidis +1
A regression-based framework for interpretable multi-way data imputation, termed Kernel Regression via Tensor Trains with Hadamard overparametrization (KReTTaH), is introduced. KRe…
Spectrum Sharing by Space-Time Waveform Shaping
Hatef Nouri, George Sklivanitis, Dimitris A. Pados +1
In this paper, we consider the task of introducing a new wireless data link over a given occupied frequency band using a multi-antenna transmitter and receiver. We design formally…
Imputation of Time-varying Edge Flows in Graphs by Multilinear Kernel Regression and Manifold Learning
Duc Thien Nguyen, Konstantinos Slavakis, Dimitris Pados
This paper extends the recently developed framework of multilinear kernel regression and imputation via manifold learning (MultiL-KRIM) to impute time-varying edge flows in a graph…