A compressive sensing framework for the analysis of solar Photo-Voltaic power. - Raksha Ramakrishna; Anna Scaglione (ACSSC, 2016)

Joint Probabilistic Forecasts of Temperature and Solar Irradiance. - Raksha Ramakrishna; Andrey Bernstein; Emiliano Dall'Anese; Anna Scaglione (ICASSP, 2018)

Network Inference and its Application to the Estimation of Crowd Dynamics from IoT Sensors. - Nikhil Ravi; Raksha Ramakrishna; Hoi-To Wai; Anna Scaglione (SPAWC, 2018)

On Modeling Voltage Phasor Measurements as Graph Signals. - Raksha Ramakrishna; Anna Scaglione (DSW, 2019)

Detection of False Data Injection Attack Using Graph Signal Processing for the Power Grid. - Raksha Ramakrishna; Anna Scaglione (GlobalSIP, 2019)

Distributed Bayesian Estimation with Low-rank Data: Application to Solar Array Processing. - Raksha Ramakrishna; Anna Scaglione; Andreas Spanias; Cihan Tepedelenlioglu (ICASSP, 2019)

A Model for Joint Probabilistic Forecast of Solar Photovoltaic Power and Outdoor Temperature. - Raksha Ramakrishna; Anna Scaglione; Vijay Vittal; Emiliano Dall'Anese; Andrey Bernstein (IEEE Trans. Signal Process., 2019)

A Bayesian lower bound for parameters with bounded support priors. - Raksha Ramakrishna; Anna Scaglione (CISS, 2020)

Federating Solar, Storage and Communications in the Electric Grid and Internet of things. - Raksha Ramakrishna; Nurullah Karakoç; Kari Hreinsson; Anna Scaglione (ICASSP, 2020)

SoDa: An Irradiance-Based Synthetic Solar Data Generation Tool. - Ignacio Losada Carreno; Raksha Ramakrishna; Anna Scaglione; Daniel B. Arnold; Ciaran M. Roberts; Sy-Toan Ngo; Sean Peisert; David Pinney (SmartGridComm, 2020)

Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization. - Mahdi Jamei; Raksha Ramakrishna; Teklemariam Tesfay; Reinhard Gentz; Ciaran M. Roberts; Anna Scaglione; Sean Peisert (IEEE J. Sel. Areas Commun., 2020)

A User Guide to Low-Pass Graph Signal Processing and Its Applications: Tools and Applications. - Raksha Ramakrishna; Hoi-To Wai; Anna Scaglione (IEEE Signal Process. Mag., 2020)

Grid-Graph Signal Processing (Grid-GSP): A Graph Signal Processing Framework for the Power Grid. - Raksha Ramakrishna; Anna Scaglione (IEEE Trans. Signal Process., 2021)

Inferring Class-Label Distribution in Federated Learning. - Raksha Ramakrishna; György Dán (AISec@CCS, 2022)

Inferring Class Label Distribution of Training Data from Classifiers: An Accuracy-Augmented Meta-Classifier Attack. - Raksha Ramakrishna; György Dán (CoRR, 2022)

Distribution Systems AC State Estimation via Sparse AMI Data Using Graph Signal Processing. - Shammya Shananda Saha; Anna Scaglione; Raksha Ramakrishna; Nathan G. Johnson (IEEE Trans. Smart Grid, 2022)

Detection and Localization of PMU Time Synchronization Attacks via Graph Signal Processing. - Ezzeldin Shereen; Raksha Ramakrishna; György Dán (IEEE Trans. Smart Grid, 2022)

Differential Privacy for Class-Based Data: A Practical Gaussian Mechanism. - Raksha Ramakrishna; Anna Scaglione; Tong Wu 002; Nikhil Ravi; Sean Peisert (IEEE Trans. Inf. Forensics Secur., 2023)

Sequential Experiment Design for Parameter Estimation of Nonlinear Systems using a Neural Network Approximator. - Raksha Ramakrishna; Yuqi Shao; György Dán; Nicole Kringos (Eur. J. Control, 2023)