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🔍 david i.w. levin 📂 Engineering
Showing 5901 results for "david i.w. levin" in Engineering
Engineering Preprint PDF DOI

A Novel Reinforcement Learning Based Framework for Scalable MIMO Interference Alignment

Samitha Gunarathne, Eslam Eldeeb, Nurul Huda Mahmood, Italo Atzeni · 2026

Interference alignment (IA) is a widely recognized approach for mitigating inter-cell interference in multi-user multiple-input multiple-output (MIMO) networks. Despite its effectiveness, practical de…

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Engineering Preprint PDF DOI

Similarity Choice and Negative Scaling in Supervised Contrastive Learning for Deepfake Audio Detection

Jaskirat Sudan, Hashim Ali, Surya Subramani, Hafiz Malik · 2026

Supervised contrastive learning (SupCon) is widely used to shape representations, but has seen limited targeted study for audio deepfake detection. Existing work typically combines contrastive terms w…

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Engineering Preprint PDF DOI

A Realistic Discrete Event Simulation model for Ambulance Location and Deployment within a regional Emergency Medical Service

Alberto De Santis, Stefania Iannazzo, Fabio Ingravalle, Stefano Lucidi, Massimo Maurici, Giulia Riccardi, Massimo Roma, Antonio Vinci · 2026

The objective of Emergency Medical Services (EMSs) is to promptly respond to calls from citizens for first aid, providing pre-hospital care and, if necessary, to transfer patients to an appropriate Em…

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Engineering Preprint PDF DOI

Explainable AI in Speaker Recognition -- Making Latent Representations Understandable

Yanze Xu, Wenwu Wang, Mark D. Plumbley · 2026

Neural networks can be trained to learn task-relevant representations from data. Understanding how these networks make decisions falls within the Explainable AI (XAI) domain. This paper proposes to st…

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Engineering Preprint PDF DOI

Modular Sensory Stream for Integrating Physical Feedback in Vision-Language-Action Models

Jimin Lee, Huiwon Jang, Myungkyu Koo, Jungwoo Park, Jinwoo Shin · 2026

Humans understand and interact with the real world by relying on diverse physical feedback beyond visual perception. Motivated by this, recent approaches attempt to incorporate physical sensory signal…

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Engineering Preprint PDF DOI

dWorldEval: Scalable Robotic Policy Evaluation via Discrete Diffusion World Model

Yaxuan Li, Zhongyi Zhou, Yefei Chen, Yaokai Xue, Yichen Zhu · 2026

Evaluating robotics policies across thousands of environments and thousands of tasks is infeasible with existing approaches. This motivates the need for a new methodology for scalable robotics policy …

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Engineering Preprint PDF DOI

Visual-Tactile Peg-in-Hole Assembly Learning from Peg-out-of-Hole Disassembly

Yongqiang Zhao, Xuyang Zhang, Zhuo Chen, Matteo Leonetti, Emmanouil Spyrakos-Papastavridis, Shan Luo · 2026

Peg-in-hole (PiH) assembly is a fundamental yet challenging robotic manipulation task. While reinforcement learning (RL) has shown promise in tackling such tasks, it requires extensive exploration. In…

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Engineering Preprint PDF DOI

CKM Beyond Channel Gain: Spatial Correlation Map Construction with Deep Learning

Z. Chen, S. Fu, Y. Zeng, X. Xu, Z. Wei · 2026

Channel knowledge map (CKM) is a promising technique to achieve environment-aware wireless communication and sensing. Constructing the complete CKM based on channel knowledge observations at sparse lo…

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Engineering Preprint PDF DOI

Defining Robust Ultrasound Quality Metrics via an Ultrasound Foundation Model

Ziyang Huang, Bingyan Li, Chen Ma, Tianyi Liu, Yihui Zhai, Hong Xu, Yi Guo, Zeju Li, Yuanyuan Wang · 2026

Clinicians lack a principled framework to quantify diagnostic utility in ultrasound reconstructions. Existing standards like PSNR and VGG-LPIPS are inadequate, failing to account for modality-specific…

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Engineering Preprint PDF DOI

Multimodal embodiment-aware navigation transformer

Louis Dezons, Quentin Picard, Remi Marsal, Francois Goulette, David Filliat · 2026

Goal-conditioned navigation models for ground robots trained using supervised learning show promising zero-shot transfer, but their collision-avoidance capability nevertheless degrades under distribut…

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Engineering Preprint PDF DOI

PROMETHEE-based Modeling of Endogenous Behavioral Uncertainty of EV Owners

Dipayan Sarkar, Qifeng Li · 2026

The electric vehicle (EV) charging demands (CD) are jointly determined by the EV owners' behavior (i.e., human factor) and the electricity prices (i.e., decisions of distribution system operators (DSO…

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Engineering Preprint PDF DOI

Inertia Matching Principle: Improving Transient Synchronization Stability in Hybrid Power Systems With VSGs and SGs

Changjun He, Li Zhang, Qi Liu, Rui Zou · 2026

This paper investigates the transient synchronization stability in power systems hybridized with virtual synchronous generators (VSGs) and synchronous generators (SGs). A relative swing equation model…

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Engineering Preprint PDF DOI

Human Cognition in Machines: A Unified Perspective of World Models

Timothy Rupprecht, Pu Zhao, Amir Taherin, Arash Akbari, Arman Akbari, Yumei He, Sean Duffy, Juyi Lin, Yixiao Chen, Rahul Chowdhury, Enfu Nan, Yixin Shen, Yifan Cao, Haochen Zeng, Weiwei Chen, Geng Yuan, Jennifer Dy, Sarah Ostadabbas, Silvia Zhang, David Kaeli, Edmund Yeh, Yanzhi Wang · 2026

This comprehensive report distinguishes prior works by the cognitive functions they innovate. Many works claim an almost "human-like" cognitive capability in their world models. To evaluate these clai…

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Engineering Preprint PDF DOI

ShapeGen: Robotic Data Generation for Category-Level Manipulation

Yirui Wang, Xiuwei Xu, Angyuan Ma, Bingyao Yu, Jie Zhou, Jiwen Lu · 2026

Manipulation policies deployed in uncontrolled real-world scenarios are faced with great in-category geometric diversity of everyday objects. In order to function robustly under such variations, polic…

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Engineering Preprint PDF DOI

Foundation Models in Robotics: A Comprehensive Review of Methods, Models, Datasets, Challenges and Future Research Directions

Aggelos Psiris, Vasileios Argyriou, Evangelos K. Markakis, Panagiotis Sarigiannidis, Efstratios Gavves, Kostas Bekris, Arash Ajoudani adn Georgios Th. Papadopoulos · 2026

Over the recent years, the field of robotics has been undergoing a transformative paradigm shift from fixed, single-task, domain-specific solutions towards adaptive, multi-function, general-purpose ag…

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Engineering Preprint PDF DOI

Robust Optimal Experimental Design Accounting for Sensor Failure

Rebekah White, Chandler Smith, Drew Kouri, Jace Ritchie, Wilkins Aquino, Timothy Walsh · 2026

Optimal experimental design provides a way of determining a-priori the best locations at which to place accelerometers in vibrations analysis experiments. However, in practice, sensors often fail duri…

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Engineering Preprint PDF DOI

Towards Multi-Object-Tracking with Radar on a Fast Moving Vehicle: On the Potential of Processing Radar in the Frequency Domain

Tim Hansen, Arturo Gomez-Chavez, Ilya Shimchik, Andreas Birk · 2026

We promote in this paper the processing of radar data in the frequency domain to achieve higher robustness against noise and structural errors, especially in comparison to feature-based methods. This …

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Engineering Preprint PDF DOI

On the Optimality of Uncertain MDP Abstractions

Ibon Gracia, Morteza Lahijanian · 2026

We study the asymptotic optimality of abstraction-based control synthesis algorithms. Specifically, we consider uncertain MDP (UMDP) abstraction, and investigate whether refinement leads to optimal re…

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Engineering Preprint PDF DOI

Symmetry Is Almost All You Need: Robust Stability with Uncertainty Induced by Symmetric SRG Regions

Ding Zhang, Di Zhao, Philipp Braun, Jianqi Chen · 2026

This paper investigates the robust stability problem of a feedback system in the presence of uncertainties induced by graphical regions in the plane where the scaled relative graphs (SRGs) reside. Our…

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Engineering Preprint PDF DOI

Enhanced Optimal Power Flow Using a Trained Neural Network Surrogate for Distribution Grid Constraints

Savvas Panagi, Chrysovalantis Spanias, Petros Aristidou · 2026

The growing penetration of distributed energy resources (DERs), electric vehicles (EVs), and heat pumps (HPs) in distribution networks underscores the need for secure, computationally efficient optima…

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