165 citations · 717 across the 68 of their papers we have counts for
79 papers
Robust Bayesian Optimization with Q-Exponential Surrogates
Richard Cornelius Suwandi, Zhidi Lin, Feng Yin +1
Bayesian optimization (BO) is a widely used framework for optimizing expensive black-box objectives, but standard BO methods often use Gaussian process (GP) surrogates whose Gaussi…
Resource Allocation for Cloud Radar Networks with Communication Constraints
Christian Eckrich, Abdelhak M. Zoubir, Vahid Jamali
Distributed radar sensing exploits spatial diversity to resolve occlusions and improve estimation accuracy. Realizing these gains, however, relies on the transmission of high-dimen…
(Sequential) Joint Detection and Estimation: Classic Results and New Directions
Dominik Reinhard, Abdelhak M. Zoubir
We provide an overview of the problem of jointly testing two hypotheses and estimating a parameter of the selected model. Such problems arise in a variety of applications. First, w…
Uncertainty-Aware Fusion for Resilient Distributed Radar Sensing
Christian Eckrich, Maik Pfefferkorn, Rolf Findeisen +2
Distributed radar sensing enables safe and resilient operation in mobile robotic and vehicular systems by combining multiple local views of the scene. In this paper, we consider a…
The Nonparametric Kiefer-Weiss Problem
Michael Fauss, H. Vincent Poor, Abdelhak M. Zoubir
A nonparametric variant of the Kiefer-Weiss problem is proposed and solved. The objective is to minimize a weighted sum of the error probabilities of a binary sequential test subje…
Minimax Optimal Procedures for Joint Detection and Estimation
Dominik Reinhard, Michael Fauß, Abdelhak M. Zoubir
We investigate the problem of jointly testing a pair of composite hypotheses and, depending on the test result, estimating a random parameter under distributional uncertainties. Sp…
Resilient Vital Sign Monitoring Using RIS-Assisted Radar
Christian Eckrich, Abdelhak M. Zoubir, Vahid Jamali
Vital sign monitoring plays a critical role in healthcare and well-being, as parameters such as respiration and heart rate offer valuable insights into an individual's physiologica…
A Generalized Graph Signal Processing Framework for Multiple Hypothesis Testing over Networks
Xingchao Jian, Martin Gölz, Feng Ji +2
We consider the multiple hypothesis testing (MHT) problem over the joint domain formed by a graph and a measure space. On each sample point of this joint domain, we assign a hypoth…
Sensitivity Curve Maximization: Attacking Robust Aggregators in Distributed Learning
Christian A. Schroth, Stefan Vlaski, Abdelhak M. Zoubir
In distributed learning agents aim at collaboratively solving a global learning problem. It becomes more and more likely that individual agents are malicious or faulty with an incr…
Fronthaul-Constrained Distributed Radar Sensing
Christian Eckrich, Abdelhak M. Zoubir, Vahid Jamali
In this paper, we study a network of distributed radar sensors that collaboratively perform sensing tasks by transmitting their quantized radar signals over capacity-constrained fr…
A Graph Signal Processing Perspective of Network Multiple Hypothesis Testing with False Discovery Rate Control
Xingchao Jian, Martin Gölz, Feng Ji +2
We consider a multiple hypothesis testing problem in a sensor network over the joint spatio-temporal domain. The sensor network is modeled as a graph, with each vertex representing…
Fast and Robust Sparsity-Aware Block Diagonal Representation
Aylin Tastan, Michael Muma, Abdelhak M. Zoubir
The block diagonal structure of an affinity matrix is a commonly desired property in cluster analysis because it represents clusters of feature vectors by non-zero coefficients tha…
Attentional Graph Neural Network Is All You Need for Robust Massive Network Localization
Wenzhong Yan, Feng Yin, Juntao Wang +3
In this paper, we design Graph Neural Networks (GNNs) with attention mechanisms to tackle an important yet challenging nonlinear regression problem: massive network localization. W…
A Data-driven Deep Learning Approach for Bitcoin Price Forecasting
Parth Daxesh Modi, Kamyar Arshi, Pertami J. Kunz +1
Bitcoin as a cryptocurrency has been one of the most important digital coins and the first decentralized digital currency. Deep neural networks, on the other hand, has shown promis…
Low-Rank Tensor Completion via Novel Sparsity-Inducing Regularizers
Zhi-Yong Wang, Hing Cheung So, Abdelhak M. Zoubir
To alleviate the bias generated by the l1-norm in the low-rank tensor completion problem, nonconvex surrogates/regularizers have been suggested to replace the tensor nuclear norm,…
Robust Low-Rank Matrix Completion via a New Sparsity-Inducing Regularizer
Zhi-Yong Wang, Hing Cheung So, Abdelhak M. Zoubir
This paper presents a novel loss function referred to as hybrid ordinary-Welsch (HOW) and a new sparsity-inducing regularizer associated with HOW. We theoretically show that the re…
Radiation Hardness of MALTA2 Monolithic CMOS Sensors on Czochralski Substrates
Milou van Rijnbach, Dumitru Vlad Berlea, Valerio Dao +26
MALTA2 is the latest full-scale prototype of the MALTA family of Depleted Monolithic Active Pixel Sensors (DMAPS) produced in Tower Semiconductor 180 nm CMOS technology. In order t…
Identifying the Complete Correlation Structure in Large-Scale High-Dimensional Data Sets with Local False Discovery Rates
Martin Gölz, Tanuj Hasija, Michael Muma +1
The identification of the dependent components in multiple data sets is a fundamental problem in many practical applications. The challenge in these applications is that often the…
Emergency Response Person Localization and Vital Sign Estimation Using a Semi-Autonomous Robot Mounted SFCW Radar
Christian A. Schroth, Christian Eckrich, Ibrahim Kakouche +4
The large number and scale of natural and man-made disasters have led to an urgent demand for technologies that enhance the safety and efficiency of search and rescue teams. Semi-a…
Attacks on Robust Distributed Learning Schemes via Sensitivity Curve Maximization
Christian A. Schroth, Stefan Vlaski, Abdelhak M. Zoubir
Distributed learning paradigms, such as federated or decentralized learning, allow a collection of agents to solve global learning and optimization problems through limited local i…
Performance of the MALTA Telescope
Milou van Rijnbach, Giuliano Gustavino, Phil Allport +27
MALTA is part of the Depleted Monolithic Active Pixel sensors designed in Tower 180nm CMOS imaging technology. A custom telescope with six MALTA planes has been developed for test…
Sparse Array Design for Dual-Function Radar-Communications System
Huiping Huang, Linlong Wu, Bhavani Shankar +1
The problem of sparse array design for dual-function radar-communications is investigated. Our goal is to design a sparse array which can simultaneously shape desired beam response…
Recent results with radiation-tolerant TowerJazz 180 nm MALTA Sensors
Matt LeBlanc, Phil Allport, Igancio Asensi +26
To achieve the physics goals of future colliders, it is necessary to develop novel, radiation-hard silicon sensors for their tracking detectors. We target the replacement of hybrid…
Sparse Array Beamformer Design via ADMM
Huiping Huang, Hing Cheung So, Abdelhak M. Zoubir
In this paper, we devise a sparse array design algorithm for adaptive beamforming. Our strategy is based on finding a sparse beamformer weight to maximize the output signal-to-inte…