4D large scale variational data assimilation of a turbulent flow with a dynamics error model. - Pranav Chandramouli; Étienne Mémin; Dominique Heitz (J. Comput. Phys., 2020)

Security Comparisons and Performance Analyses of Post-quantum Signature Algorithms. - Manohar Raavi; Simeon Wuthier; Pranav Chandramouli; Yaroslav Balytskyi; Xiaobo Zhou 002; Sang-Yoon Chang (ACNS (2), 2021)

Performance Characterization of Post-Quantum Digital Certificates. - Manohar Raavi; Pranav Chandramouli; Simeon Wuthier; Xiaobo Zhou 002; Sang-Yoon Chang (ICCCN, 2021)

QUIC Protocol with Post-quantum Authentication. - Manohar Raavi; Simeon Wuthier; Pranav Chandramouli; Xiaobo Zhou 002; Sang-Yoon Chang (ISC, 2022)

Greedy Networking in Cryptocurrency Blockchain. - Simeon Wuthier; Pranav Chandramouli; Xiaobo Zhou 002; Sang-Yoon Chang (SEC, 2022)

analyzeR: A SonarQube plugin for analyzing object-oriented R Packages. - Pranav Chandramouli; Zadia Codabux; Melina C. Vidoni (SoftwareX, 2022)

SARXarray and STMtools: Open-Source Python Libraries for InSAR Data Processing and Analysis. - Ou Ku; Fakhereh Alidoost; Pranav Chandramouli; Thijs van Lankveld; Francesco Nattino; Meiert W. Grootes; Freek J. van Leijen; Ramon F. Hanssen (IGARSS, 2024)

Using a Deployable Analysis Environment to Study Continental-Scale Phenology at High-Spatial Resolution. - Francesco Nattino; Emma Izquierdo-Verdiguier; Pranav Chandramouli; Meiert W. Grootes; Ou Ku; Fakhereh Alidoost; Raúl Zurita-Milla (IGARSS, 2024)

Explainable few-shot learning workflow for detecting invasive and exotic tree species. - Caroline M. Gevaert; Alexandra Aguiar Pedro; Ou Ku; Hao Cheng; Pranav Chandramouli; Farzaneh Dadrass Javan; Francesco Nattino; Sonja Georgievska (CoRR, 2024)

MOTrainer: Distributed Measurement Operator Trainer for Data Assimilation Applications. - Ou Ku; Fakhereh Alidoost; Xu Shan; Pranav Chandramouli; Sonja Georgievska; Meiert W. Grootes; Susan C. Steele-Dunne (J. Open Source Softw., 2024)