Anna Scaglione

Has grant

Professor

Cornell Tech
Country flagUnited States

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Professor Anna Scaglione is a faculty member at Cornell Tech in the United States. Her research focuses on safe reinforcement learning methods, graph convolutional neural networks, and data privacy in energy systems. She has published recent articles on topics such as predictive control in power systems and network de-anonymization attacks, contributing to advancements in modern power system efficiency and security.

Recent Grants

Grant: Close

Supervisory Parameter Adjustment for Distribution Energy Storage (SPADES)

Open Date: 2020-01-01

Close Date: 2022-01-01

Grant: Close

Trusted Federated Learning Algorithms in Adversarial Environments

Open Date: 2020-01-01

Close Date: 2021-01-01

Grant: Close

Next Generation Energy Technologies and Systems for Civilian and Military Applications

Open Date: 2020-01-01

Close Date: 2022-01-01

Grant: Close

Evaluation of the LwM2M protocol and 5G networks performance for wide-area Industrial Internet of Things (IIoT)

Open Date: 2020-01-01

Close Date: 2021-01-01

Grant: Close

LBNL/CEDS Cybersecurity via Inverter-Grid Automatic Reconfiguration (CIGAR) Project Support

Open Date: 2018-01-01

Close Date: 2020-01-01

Articles (20)

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (4)

Tong Wu

Assistant Professor

University of Central Florida

UNITED STATES
View details

Raksha Ramakrishna

KTH Royal Institute of Technology

SWEDEN
View details

Sean Peisert

University of California

UNITED STATES
View details

Amir Leshem

-

ISRAEL
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.