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๐Ÿ” igor fedorov ๐Ÿ“‚ Engineering
Showing 71 results for "igor fedorov" in Engineering
Engineering Preprint PDF DOI

Shocks without shock capturing: Information geometric regularization of finite volume methods for Navier--Stokes-like problems

Anand Radhakrishnan, Benjamin Wilfong, Spencer H. Bryngelson, Florian Schafer ยท 2026

Shock waves in high-speed fluid dynamics produce near-discontinuities in the fluid momentum, density, and energy. Most contemporary works use artificial viscosity or limiters as numerical mitigation oโ€ฆ

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Engineering Preprint PDF DOI

Beyond Binary Success: Sample-Efficient and Statistically Rigorous Robot Policy Comparison

David Snyder, Apurva Badithela, Nikolai Matni, George Pappas, Anirudha Majumdar, Masha Itkina, Haruki Nishimura ยท 2026

Generalist robot manipulation policies are becoming increasingly capable, but are limited in evaluation to a small number of hardware rollouts. This strong resource constraint in real-world testing neโ€ฆ

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Engineering Preprint PDF DOI

Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration

Ninghao Zhang, Bin Zhu, Shijie Zhou, Jingjing Chen ยท 2026

Vision-Language-Action (VLA) models enable robots to perform manipulation tasks directly from natural language instructions and are increasingly viewed as a foundation for generalist robotic policies.โ€ฆ

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Engineering Preprint PDF DOI

A Novel One-tap Equalizer for Zero-Padded AFDM System over Doubly Selective Channels

Chenyang Zhang, Akram Shafie, Cheng Shen, Deepak Mishra, Jinhong Yuan ยท 2026

Recently, affine frequency division multiplexing (AFDM) has gained traction as a robust solution for doubly selective channels. In this paper, we present a novel low-complexity one-tap equalizer for zโ€ฆ

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Engineering Preprint PDF DOI

Scale-PINN: Learning Efficient Physics-Informed Neural Networks Through Sequential Correction

Pao-Hsiung Chiu, Jian Cheng Wong, Chin Chun Ooi, Chang Wei, Yuchen Fan, Yew-Soon Ong ยท 2026

Physics-informed neural networks (PINNs) have emerged as a promising mesh-free paradigm for solving partial differential equations, yet adoption in science and engineering is limited by slow training โ€ฆ

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Engineering Preprint PDF DOI

VIGOR: Visual Goal-In-Context Inference for Unified Humanoid Fall Safety

Osher Azulay, Zhengjie Xu, Andrew Scheffer, Stella X. Yu ยท 2026

Reliable fall recovery is critical for humanoids operating in cluttered environments. Unlike quadrupeds or wheeled robots, humanoids experience high-energy impacts, complex whole-body contact, and larโ€ฆ

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Engineering Preprint PDF DOI

Multiconfiguration Pair-Density Functional Theory Calculations of Low-lying States of Complex Chemical Systems with Quantum Computers

Zhanou Liu, Yuhao Chen, Yingjin Ma, Xiao He, Yuxin Deng ยท 2026

Accurately describing strong electron correlation in complex systems remains a prominent challenge in computational chemistry as near-term quantum algorithms treating total correlation often require pโ€ฆ

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Engineering Preprint PDF DOI

Radiomics in Medical Imaging: Methods, Applications, and Challenges

Fnu Neha, Deepak kumar Shukla ยท 2026

Radiomics enables quantitative medical image analysis by converting imaging data into structured, high-dimensional feature representations for predictive modeling. Despite methodological developments โ€ฆ

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Engineering Preprint PDF DOI

Scalable Screw-Theoretic Synthesis for PDE-Based Dynamic Modeling of Multibody Flexible Manipulators

S. Yaqubi, J. Mattila ยท 2026

This paper presents a novel and scalable screw-theoretic multibody synthesis framework for PDE-based dynamic modeling of serial robotic manipulators with an arbitrary number of flexible links in threeโ€ฆ

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Engineering Preprint PDF DOI

DataOps-driven CI/CD for analytics repositories

Dmytro Valiaiev ยท 2025

The proliferation of SQL for data processing has often occurred without the rigor of traditional software development, leading to siloed efforts, logic replication, and increased risk. This ad-hoc appโ€ฆ

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Engineering Preprint PDF DOI

Common Task Framework For a Critical Evaluation of Scientific Machine Learning Algorithms

Philippe Martin Wyder, Judah Goldfeder, Alexey Yermakov, Yue Zhao, Stefano Riva, Jan P. Williams, David Zoro, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles Cranmer, J. Nathan Kutz ยท 2025

Machine learning (ML) is transforming modeling and control in the physical, engineering, and biological sciences. However, rapid development has outpaced the creation of standardized, objective benchmโ€ฆ

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Engineering Preprint PDF DOI

Seed3D 1.0: From Images to High-Fidelity Simulation-Ready 3D Assets

Jiashi Feng, Xiu Li, Jing Lin, Jiahang Liu, Gaohong Liu, Weiqiang Lou, Su Ma, Guang Shi, Qinlong Wang, Jun Wang, Zhongcong Xu, Xuanyu Yi, Zihao Yu, Jianfeng Zhang, Yifan Zhu, Rui Chen, Jinxin Chi, Zixian Du, Li Han, Lixin Huang, Kaihua Jiang, Yuhan Li, Guan Luo, Shuguang Wang, Qianyi Wu, Fan Yang, Junyang Zhang, Xuanmeng Zhang ยท 2025

Developing embodied AI agents requires scalable training environments that balance content diversity with physics accuracy. World simulators provide such environments but face distinct limitations: viโ€ฆ

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Engineering Preprint PDF DOI

Report of the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science

Lois Curfman McInnes, Dorian Arnold, Prasanna Balaprakash, Mike Bernhardt, Beth Cerny, Anshu Dubey, Roscoe Giles, Denice Ward Hood, Mary Ann Leung, Vanessa Lopez-Marrero, Paul Messina, Olivia B. Newton, Chris Oehmen, Stefan M. Wild, Jim Willenbring, Lou Woodley, Tony Baylis, David E. Bernholdt, Chris Camano, Johannah Cohoon, Charles Ferenbaugh, Stephen M. Fiore, Sandra Gesing, Diego Gomez-Zara, James Howison, Tanzima Islam, David Kepczynski, Charles Lively, Harshitha Menon, Bronson Messer, Marieme Ngom, Umesh Paliath, Michael E. Papka, Irene Qualters, Elaine M. Raybourn, Katherine Riley, Paulina Rodriguez, Damian Rouson, Michelle Schwalbe, Sudip K. Seal, Ozge Surer, Valerie Taylor, Lingfei Wu ยท 2025

This report summarizes insights from the 2025 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science, which conveneโ€ฆ

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Engineering Preprint PDF DOI

Compositional System Dynamics: The Higher Mathematics Underlying System Dynamics Diagrams & Practice

Xiaoyan Li, Evan Patterson, Patricia L. Mabry, Nathaniel D. Osgood ยท 2025

This work establishes a robust mathematical foundation for compositional System Dynamics modeling, leveraging category theory to formalize and enhance the representation, analysis, and composition of โ€ฆ

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Engineering Preprint PDF DOI

Distributed Multi-Task Learning for Joint Wireless Signal Enhancement and Recognition

Hao Zhang, Fuhui Zhou, Qihui Wu, Chau Yuen ยท 2025

Wireless signal recognition (WSR) is crucial in modern and future wireless communication networks since it aims to identify the properties of the received signal in a no-collaborative manner. However,โ€ฆ

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Engineering Preprint PDF DOI

Monotone Neural Barrier Certificates

Saber Jafarpour, Alireza Nadali, Ashutosh Trivedi, Majid Zamani ยท 2025

This report presents a neurosymbolic framework for safety verification and control synthesis in high-dimensional monotone dynamical systems without relying on explicit models or conservative Lipschitzโ€ฆ

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Engineering Preprint PDF DOI

DexFruit: Dexterous Manipulation and Gaussian Splatting Inspection of Fruit

Aiden Swann, Alex Qiu, Matthew Strong, Angelina Zhang, Samuel Morstein, Kai Rayle, Monroe Kennedy III ยท 2025

DexFruit is a robotic manipulation framework that enables gentle, autonomous handling of fragile fruit and precise evaluation of damage. Many fruits are fragile and prone to bruising, thus requiring hโ€ฆ

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Engineering Preprint PDF DOI

Deconstructing the Crystal Ball: From Ad-Hoc Prediction to Principled Startup Evaluation with the SAISE Framework

Seyed Mohammad Ali Jafari, Ali Mobini Dehkordi, Ehsan Chitsaz, Yadollah Yaghoobzadeh ยท 2025

The integration of Artificial Intelligence (AI) into startup evaluation represents a significant technological shift, yet the academic research underpinning this transition remains methodologically frโ€ฆ

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Engineering Preprint PDF DOI

Adjoint-Based Aerodynamic Shape Optimization with a Manifold Constraint Learned by Diffusion Models

Long Chen, Emre Oezkaya, Jan Rottmayer, Nicolas R. Gauger, Zebang Shen, Yinyu Ye ยท 2025

We introduce an adjoint-based aerodynamic shape optimization framework that integrates a diffusion model trained on existing designs to learn a smooth manifold of aerodynamically viable shapes. This mโ€ฆ

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Engineering Preprint PDF DOI

Axioms for Model Fidelity Evaluation

Evan Taylor, Edward Louis, Gregory Mocko ยท 2025

Digital engineering has transformed the design and development process. However, the utility of digital engineering is fundamentally dependent on the assumption that a simulation provides information โ€ฆ

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