Power systems data fusion based on belief propagation. - Francesco Fusco; Seshu Tirupathi; Robert Gormally (ISGT Europe, 2017)

Castor: Contextual IoT Time Series Data and Model Management at Scale. - Bei Chen; Bradley Eck; Francesco Fusco; Robert Gormally; Mark Purcell; Mathieu Sinn; Seshu Tirupathi (ICDM Workshops, 2018)

AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids. - Bradley Eck; Francesco Fusco; Robert Gormally; Mark Purcell; Seshu Tirupathi (e-Energy, 2019)

Knowledge- and Data-driven Services for Energy Systems using Graph Neural Networks. - Francesco Fusco; Bradley Eck; Robert Gormally; Mark Purcell; Seshu Tirupathi (IEEE BigData, 2020)

Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures. - Sergiy Zhuk; Jonathan P. Epperlein; Rahul Nair; Seshu Tirupathi; Pól Mac Aonghusa; Donal O'Shea; Ronan A. Cahill (MICCAI (3), 2020)

Scalable Deployment of AI Time-series Models for IoT. - Bradley Eck; Francesco Fusco; Robert Gormally; Mark Purcell; Seshu Tirupathi (CoRR, 2020)

Practical Perfusion Quantification in Multispectral Endoscopic Video: Using the Minutes after ICG Administration to Assess Tissue Pathology. - Jonathan P. Epperlein; Mykhaylo Zayats; Seshu Tirupathi; Sergiy Zhuk; Tigran T. Tchrakian; Pol Mac Aonghusa; Donal F. O'Shea; Niall P. Hardy; Jeffrey Dalli; Ronan A. Cahill (AMIA, 2021)

Aggregation of nonlinearly enhanced experts with application to electricity load forecasting. - Alessandro Incremona; Giuseppe De Nicolao; Francesco Fusco; Bradley J. Eck; Seshu Tirupathi (Appl. Soft Comput., 2021)

Distributed Incremental Machine Learning for Big Time Series Data. - Dhaval Salwala; Seshu Tirupathi; Brian Quanz; Wesley M. Gifford; Stuart Siegel; Vijay Ekambaram; Arindam Jati (IEEE Big Data, 2022)

Machine Learning Platform for Extreme Scale Computing on Compressed IoT Data. - Seshu Tirupathi; Dhaval Salwala; Giulio Zizzo; Ambrish Rawat; Mark Purcell; Søren Kejser Jensen; Christian Thomsen 001; Nguyen Ho; Carlos E. Muñiz-Cuza; Jonas Brusokas; Torben Bach Pedersen; Giorgos Alexiou; et al. (IEEE Big Data, 2022)

Prequential Model Selection for Time Series Forecasting based on Saliency Maps. - Shivani Tomar; Seshu Tirupathi; Dhaval Vinodbhai Salwala; Ivana Dusparic; Elizabeth Daly (IEEE Big Data, 2022)

GOFLEX: extracting, aggregating and trading flexibility based on FlexOffers for 500+ prosumers in 3 European cities [operational systems paper]. - Bijay Neupane; Laurynas Siksnys; Torben Bach Pedersen; Rikke Hagensby Jensen; Muhammad Aftab; Bradley Eck; Francesco Fusco; Robert Gormally; Mark Purcell; Seshu Tirupathi; Gregor Cerne; Saso Brus; et al. (e-Energy, 2022)

Databases and Information Systems: Contributions from ADBIS 2023 Workshops and Doctoral Consortium. - Adam Przybylek; Aleksandra Karpus; Allel Hadjali; Anton Dignös; Carmem S. Hara; Danae Pla Karidi; Ester Zumpano; Fabio Persia; Genoveva Vargas-Solar; George Papastefanatos; Giancarlo Sperlì; Giorgos Giannopoulos; et al. (ADBIS (Short Papers), 2023)

Online Learning and Model Pruning Against Concept Drifts in Edge Devices. - Simone Magnani; Seshu Tirupathi; Roberto Doriguzzi Corin; Liubov Nedoshivina; Stefano Braghin; Domenico Siracusa (NetSoft, 2024)

Domain Adaptation for Time series Transformers using One-step fine-tuning. - Subina Khanal; Seshu Tirupathi; Giulio Zizzo; Ambrish Rawat; Torben Bach Pedersen (CoRR, 2024)

Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems. - Merim Dzaferagic; Marco Ruffini; Nina Slamnik-Krijestorac; Joao F. Santos; Johann Márquez-Barja; Christos Tranoris; Spyros G. Denazis; Thomas Kyriakakis; Panagiotis Karafotis; Luiz A. DaSilva; Shashi Raj Pandey; Junya Shiraishi; et al. (CoRR, 2024)

Usage Governance Advisor: from Intent to AI Governance. - Elizabeth M. Daly; Sean Rooney; Seshu Tirupathi; Luis Garcés-Erice; Inge Vejsbjerg; Frank Bagehorn; Dhaval Salwala; Christopher Giblin; Mira L. Wolf-Bauwens; Ioana Giurgiu; Michael Hind; Peter Urbanetz (CoRR, 2024)

Usage Governance Advisor: From Intent to AI Governance. - Elizabeth M. Daly; Seshu Tirupathi; Sean Rooney; Inge Vejsbjerg; Dhaval Salwala; Christopher Giblin; Frank Bagehorn; Luis Garcés-Erice; Peter Urbanetz; Mira L. Wolf-Bauwens (AAAI, 2025)

Selective-HeatFlex: Selective Forecasting of Heat Pump Flexibility using Model Confidence. - Jonas Brusokas; Fabio Lilliu; Seshu Tirupathi; Torben Bach Pedersen (e-Energy, 2025)

The Time-Energy Model: Selective Time-Series Forecasting Using Energy-Based Models. - Jonas Brusokas; Seshu Tirupathi; Dalin Zhang 001; Torben Bach Pedersen (Trans. Mach. Learn. Res., 2025)

AI Risk Atlas: Taxonomy and Tooling for Navigating AI Risks and Resources. - Frank Bagehorn; Kristina Brimijoin; Elizabeth M. Daly; Jessica He; Michael Hind; Luis Garcés-Erice; Christopher Giblin; Ioana Giurgiu; Jacquelyn Martino; Rahul Nair; David Piorkowski; Ambrish Rawat; et al. (CoRR, 2025)

Power Utilization in Open RAN: Key Findings From a USA Testbed. - Saish Urumkar; Byrav Ramamurthy; Seshu Tirupathi; Sachin Sharma 001 (IEEE Commun. Lett., 2025)

GAF-Guard: An Agentic Framework for Risk Management and Governance in Large Language Models. - Seshu Tirupathi; Dhaval Vinodbhai Salwala; Elizabeth Daly; Inge Vejsbjerg (CoRR, 2025)