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๐Ÿ” ramish ashraf ๐Ÿ“‚ Engineering
Showing 100 results for "ramish ashraf" in Engineering
Engineering Preprint PDF DOI

Cross-Atlantic Research Agenda for Scalable Grid Architectures and Distributed Flexibility

Mads R. Almassalkhi, Dakota Hamilton, Hasan Giray Oral, Yury Dvorkin, Dennice Gayme, Bri-Mathias Hodge, Brian Vad Mathiesen, Jakob Stoustrup, Tobias Ritschel, Rune G. Junker, Shahab Tohidi, Razgar Ebrahimy, Henrik Madsen ยท 2026

Electric power systems are rapidly evolving into deeply digital, cyber-physical infrastructures in which large fleets of distributed energy resources must be coordinated as system-level flexibility acโ€ฆ

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Engineering Preprint PDF DOI

Workload composition smooths aggregate power demand while sustaining short-horizon ramps in AI data centers

Subir Majumder, Minlan Yu, Le Xie ยท 2026

Artificial intelligence (AI) is driving rapid growth in electricity demand, yet the grid-facing power dynamics of AI data centers remain poorly understood. Here we show that, in shared-GPU systems, thโ€ฆ

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Engineering Preprint PDF DOI

Safe and Near-Optimal Gate Control: A Case Study from the Danish West Coast

Martin Kristjansen (Aalborg University), Kim Guldstrand Larsen (Aalborg University), Marius Mikucionis (Aalborg University), Christian Schilling (Aalborg University) ยท 2026

Ringkoebing Fjord is an inland water basin on the Danish west coast separated from the North Sea by a set of gates used to control the amount of water entering and leaving the fjord. Currently, human โ€ฆ

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Engineering Preprint PDF DOI

Digital Twin-Based Cooling System Optimization for Data Center

Shrenik Jadhav, Zheng Liu ยท 2026

Data center cooling systems consume significant auxiliary energy, yet optimization studies rarely quantify the gap between theoretically optimal and operationally deployable control strategies. This pโ€ฆ

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Engineering Preprint PDF DOI

Efficient reformulations of ReLU deep neural networks for surrogate modelling in power system optimisation

Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Jon A.R. Liisberg, Julian Lesmos-Vinasco ยท 2026

The ongoing decarbonisation of power systems is driving an increasing reliance on distributed energy resources, which introduces complex and nonlinear interactions that are difficult to capture in conโ€ฆ

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Engineering Preprint PDF DOI

Calibrated uncertainty quantification for prosumer flexibility aggregation in ancillary service markets

Yogesh Pipada Sunil Kumar, S. Ali Pourmousavi, Jon A.R. Liisberg, Julian Lesmos-Vinasco ยท 2026

Reliable forecasting of prosumer flexibility is critical for demand response aggregators participating in frequency controlled ancillary services market, where strict reliability requirements such as โ€ฆ

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Engineering Preprint PDF DOI

Learning-based Force Sensing and Impedance Matching for Safe Haptic Feedback in Robot-assisted Laparoscopic Surgery

Aiden (Mohammad) Mazidi, Majid Roshanfar, Amir Sayadi, Javad Dargahi, Jake Barralet, Liane S. Feldman, Amir Hooshiar ยท 2026

Integrating accurate haptic feedback into robot-assisted minimally invasive surgery (RAMIS) remains challenging due to difficulties in precise force rendering and ensuring system safety during teleopeโ€ฆ

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Engineering Preprint PDF DOI

Heterogeneous Multi-Agent Multi-Target Tracking using Cellular Sheaves

Tyler Hanks, Cristian F. Nino, Joana Bou Barcelo, Austin Copeland, Warren Dixon, James Fairbanks ยท 2025

Multi-agent target tracking in the presence of nonlinear dynamics and agent heterogeneity, where state-space dimensions may differ, is a challenging problem that traditional graph Laplacian methods caโ€ฆ

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Engineering Preprint PDF DOI

Data-Driven Post-Event Analysis with Real-World Oscillation Data from Denmark

Youhong Chen, Debraj Bhattacharjee, Balarko Chaudhuri, Mark O Malley, Nan Qin, Adrian Pilkaer Expethit ยท 2025

This paper demonstrates how Extended Dynamic Mode Decomposition (EDMD), grounded in Koopman operator theory, can effectively identify the main contributor(s) to oscillations in power grids. We use PMUโ€ฆ

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Engineering Preprint PDF DOI

Green Hydrogen under Uncertainty: Evaluating Power-to-X Strategies Using Agent-Based Simulation and Multi-Criteria Decision Framework

Frederik Wagner Madsen, Joy Dalmacio Billanes, Bo N{o}rregaard J{o}rgensen, Zheng Ma ยท 2025

The transition toward net-zero energy systems requires scalable and cost-effective deployment of Power-to-X technologies, particularly green hydrogen production. Despite increasing investments, a critโ€ฆ

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Engineering Preprint PDF DOI

RAISE: A self-driving laboratory for interfacial property formulation discovery

Mohammad Nazeri, Sheldon Mei, Jeffrey Watchorn, Alex Zhang, Erin Ng, Tao Wen, Abhijoy Mandal, Kevin Golovin, Alan Aspuru-Guzik, Frank Gu ยท 2025

Surface wettability is a critical design parameter for biomedical devices, coatings, and textiles. Contact angle measurements quantify liquid-surface interactions, which depend strongly on liquid formโ€ฆ

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Engineering Preprint PDF DOI

RAISE: A Robot-Assisted Selective Disassembly and Sorting System for End-of-Life Phones

Chang Liu, Badrinath Balasubramaniam, Neal Yancey, Michael Severson, Adam Shine, Philip Bove, Beiwen Li, Xiao Liang, Minghui Zheng ยท 2025

End-of-Life (EoL) phones significantly exacerbate global e-waste challenges due to their high production volumes and short lifecycles. Disassembly is among the most critical processes in EoL phone recโ€ฆ

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Engineering Preprint PDF DOI

Constraint-Consistent Control of Task-Based and Kinematic RCM Constraints for Surgical Robots

Yu Li, Hamid Sadeghian, Zewen Yang, Valentin Le Mesle, Sami Haddadin ยท 2025

Robotic-assisted minimally invasive surgery (RAMIS) requires precise enforcement of the remote center of motion (RCM) constraint to ensure safe tool manipulation through a trocar. Achieving this constโ€ฆ

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Engineering Preprint PDF DOI

Nonlinear Sampled-data Systems--A Lifting Framework

Yutaka Yamamoto, Kaoru Yamamoto ยท 2025

This short note gives a new framework for dealing with nonlinear sampled-data systems. We introduce a new idea of lifting, which is well known for linear systems, but not successfully generalized to nโ€ฆ

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Engineering Preprint PDF DOI

Branched Broomrape Detection in Tomato Farms Using Satellite Imagery and Time-Series Analysis

Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi, Parastoo Farajpoor, Hamid Jafarbiglu, Mohsen Mesgaran ยท 2025

Branched broomrape (Phelipanche ramosa (L.) Pomel) is a chlorophyll-deficient parasitic plant that threatens tomato production by extracting nutrients from the host, with reported yield losses up to 8โ€ฆ

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Engineering Preprint PDF DOI

Drone-Based Multispectral Imaging and Deep Learning for Timely Detection of Branched Broomrape in Tomato Farms

Mohammadreza Narimani, Alireza Pourreza, Ali Moghimi, Mohsen Mesgaran, Parastoo Farajpoor, Hamid Jafarbiglu ยท 2025

This study addresses the escalating threat of branched broomrape (Phelipanche ramosa) to California's tomato industry, which supplies over 90 percent of U.S. processing tomatoes. The parasite's largelโ€ฆ

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Engineering Preprint PDF DOI

RAMS: Residual-based adversarial-gradient moving sample method for scientific machine learning in solving partial differential equations

Weihang Ouyang, Min Zhu, Wei Xiong, Si-Wei Liu, Lu Lu ยท 2025

Physics-informed neural networks (PINNs) and neural operators, two leading scientific machine learning (SciML) paradigms, have emerged as powerful tools for solving partial differential equations (PDEโ€ฆ

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Engineering Preprint PDF DOI

From Stoplights to On-Ramps: A Comprehensive Set of Crash Rate Benchmarks for Freeway and Surface Street ADS Evaluation

John M. Scanlon, Timothy L McMurry, Yin-Hsiu Chen, Kristofer D. Kusano, Trent Victor ยท 2025

This paper presents crash rate benchmarks for evaluating US-based Automated Driving Systems (ADS) for multiple urban areas. The purpose of this study was to extend prior benchmarks focused only on surโ€ฆ

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Engineering Preprint PDF DOI

EPC Framework for BESS Projects

Zeenat Hameed, Chresten Tr{ae}holt ยท 2025

Battery Energy Storage Systems (BESS) are critical for modern power networks, supporting grid services such as frequency regulation, peak shaving, and black start. Delivering a BESS under an Engineeriโ€ฆ

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Engineering Preprint PDF DOI

Astra: Toward General-Purpose Mobile Robots via Hierarchical Multimodal Learning

Sheng Chen, Peiyu He, Jiaxin Hu, Ziyang Liu, Yansheng Wang, Tao Xu, Chi Zhang, Chongchong Zhang, Chao An, Shiyu Cai, Duo Cao, Kangping Chen, Shuai Chu, Tianwei Chu, Mingdi Dan, Min Du, Weiwei Fang, Pengyou Fu, Junkai Hu, Xiaowei Jiang, Zhaodi Jiang, Fuxuan Li, Jun Li, Minghui Li, Mingyao Li, Yanchang Li, Zhibin Li, Guangming Liu, Kairui Liu, Lihao Liu, Weizhi Liu, Xiaoshun Liu, Yufei Liu, Yunfei Liu, Qiang Lu, Yuanfei Luo, Xiang Lv, Hongying Ma, Sai Ma, Lingxian Mi, Sha Sa, Hongxiang Shu, Lei Tian, Chengzhi Wang, Jiayu Wang, Kaijie Wang, Qingyi Wang, Renwen Wang, Tao Wang, Wei Wang, Xirui Wang, Chao Wei, Xuguang Wei, Zijun Xia, Zhaohao Xiao, Tingshuai Yan, Liyan Yang, Yifan Yang, Zhikai Yang, Zhong Yin, Li Yuan, Liuchun Yuan, Chi Zhang, Jinyang Zhang, Junhui Zhang, Linge Zhang, Zhenyi Zhang, Zheyu Zhang, Dongjie Zhu, Hang Li, Yangang Zhang ยท 2025

Modern robot navigation systems encounter difficulties in diverse and complex indoor environments. Traditional approaches rely on multiple modules with small models or rule-based systems and thus lackโ€ฆ

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