no code implementations • 12 Nov 2022 • Abdullah Hayajneh, Mohammad Shaqfeh, Erchin Serpedin, Mitchell A. Stotland
This paper presents a novel machine learning framework to consistently detect, localize and rate congenital cleft lip anomalies in human faces.
no code implementations • 17 Jul 2022 • Cihat Keçeci, Mohammad Shaqfeh, Hayat Mbayed, Erchin Serpedin
So, supporting federated learning with meta-learning tools such as multi-task learning and transfer learning will help enlarge the set of potential applications of federated learning by letting clients of different but related tasks share task-agnostic models that can be then further updated and tailored by each individual client for its particular task.
no code implementations • 25 Jun 2022 • Osman Boyaci, M. Rasoul Narimani, Katherine Davis, Erchin Serpedin
This study employs Infinite Impulse Response (IIR) Graph Neural Networks (GNN) to efficiently model the inherent graph network structure of the smart grid data to address the cyberattack localization problem.
no code implementations • 15 Jun 2022 • Cihat Keçeci, Mohammad Shaqfeh, Fawaz Al-Qahtani, Muhammad Ismail, Erchin Serpedin
In this way, instead of just waiting for the slower clients to finish their computation, more clients can participate in each iteration.
no code implementations • 5 Feb 2022 • Osman Boyaci, M. Rasoul Narimani, Katherine Davis, Erchin Serpedin
The interconnection between different components in a power system causes failures to easily propagate across the system.
no code implementations • 25 Dec 2021 • Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis, Erchin Serpedin
As a highly complex and integrated cyber-physical system, modern power grids are exposed to cyberattacks.
no code implementations • 24 Apr 2021 • Osman Boyaci, Mohammad Rasoul Narimani, Katherine Davis, Muhammad Ismail, Thomas J Overbye, Erchin Serpedin
To the best of our knowledge, this is the first work based on GNN that automatically detects and localizes FDIA in power systems.
no code implementations • 5 Apr 2021 • Osman Boyaci, Amarachi Umunnakwe, Abhijeet Sahu, Mohammad Rasoul Narimani, Muhammad Ismail, Katherine Davis, Erchin Serpedin
False data injection attacks (FDIAs) represent a major class of attacks that aim to break the integrity of measurements by injecting false data into the smart metering devices in power grids.
no code implementations • 11 Mar 2021 • Mohammad Shaqfeh, Salah Hessien, Erchin Serpedin
Real-time traffic information can be utilized to enhance the efficiency of transportation networks by dynamically updating routing plans to mitigate traffic jams.
no code implementations • 5 Jul 2020 • Hisham Abuella, Mohammed Elamassie, Murat Uysal, Zhengyuan Xu, Erchin Serpedin, Khalid A. Qaraqe, Sabit Ekin
In parallel, visible light communication (VLC) has been proposed as an alternative solution, where a light source is used for both illumination and data transmission.
no code implementations • 6 Sep 2018 • Mahmoud Nabil, Muhammad Ismail, Mohamed Mahmoud, Mostafa Shahin, Khalid Qaraqe, Erchin Serpedin
Modern smart grids rely on advanced metering infrastructure (AMI) networks for monitoring and billing pur- poses.