Giulia Pedrielli

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Associate Professor

Arizona State University

United States

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About

Giulia Pedrielli is an Associate Professor at Arizona State University, USA. Her research areas include programmable assembly techniques in RNA tiles, stochastic algorithms for test generation, and deep learning for RNA sequence-structure prediction. Additionally, she investigates computational methods for disaster recovery in electric power networks and the impact of the COVID-19 pandemic on occupant health and well-being in building environments.

Recent Grants

Grant: Close

SaTC: CORE: Medium: Self-Adaptive Cyber Risk Management via Machine to Machine Economy Supported by Blockchain and Smart Contracts Technology

Open Date: 2020-10-01

Close Date: 2023-09-30

Grant: Close

Collaborative Research: FET: Small: Hierarchical Computational Framework for large scale RNA Design Pathway Discovery through Data and Experiments

Open Date: 2020-08-15

Close Date: 2023-07-31

Grant: Close

Collaborative Research: RAPID: RTEM: Rapid Testing as Multi-fidelity Data Collection for Epidemic Modeling

Open Date: 2020-04-15

Close Date: 2021-03-31

Grant: Close

INFEWS/T3 RCN: City-as-Lab: A Research Coordination Network for the Study of the Food, Energy, and Water Nexus for Sustainable and Resilient Urban Development

Open Date: 2019-07-15

Close Date: 2024-06-30

Grant: Close

EAGER: Exploring Discrete Event Dynamics to Model and Control Intelligent Manufacturing Systems

Open Date: 2018-06-01

Close Date: 2020-05-31

Articles (15)

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2025

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2021

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2020

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2020

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2020

Collaborators (6)

Georgios Fainekos

Arizona State University

UNITED STATES

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Zhihong Pang

Assistant Professor

Louisiana State University

UNITED STATES

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Jin Wen

Professor

Drexel University

UNITED STATES

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Feng Ju

Arizona State University

UNITED STATES

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Xu Chang

Rutgers Health

UNITED STATES

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Fernando Tormos-Aponte

Assistant Professor

University of Pittsburgh

UNITED STATES

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Giulia Pedrielli

Research Interests

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About

Recent Grants

Articles (15)

Angle-controllable RNA tiles for programable array assembly and RNA sensing

Part-X: A Family of Stochastic Algorithms for Search-Based Test Generation With Probabilistic Guarantees

Predicting RNA sequence-structure likelihood via structure-aware deep learning

DTFab: A Digital Twin based Approach for Optimal Reticle Management in Semiconductor Photolithography

A computational approach for real-time stochastic recovery of electric power networks during a disaster

ExpertRNA: A New Framework for RNA Secondary Structure Prediction

Occupant health in buildings: Impact of the COVID-19 pandemic on the opinions of building professionals and implications on research

SIRTEM: Spatially Informed Rapid Testing for Epidemic Modeling and Response to COVID-19

Social vulnerability and power loss mitigation: A case study of Puerto Rico

How Work From Home Has Affected the Occupant's Well-Being in the Residential Built Environment: An International Survey Amid the Covid-19 Pandemic

Multifidelity Modeling for Analysis and Optimization of Serial Production Lines

Ten questions concerning occupant health in buildings during normal operations and extreme events including the COVID-19 pandemic

Stochastic optimization with adaptive restart: a framework for integrated local and global learning

A decision support system for data-driven driver-experience augmented vehicle routing problem

A real time simulation optimization framework for vessel collision avoidance and the case of singapore strait

Collaborators (6)

Georgios Fainekos

Zhihong Pang

Jin Wen

Feng Ju

Xu Chang

Fernando Tormos-Aponte

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