RAGNN: A Resource-Aware System for Graph Neural Network Training at Scale
Phivos Dadamis, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos
Author: rtds
AutoFairML: An Automated Middleware for Fairness Auditing in Real-world AI Pipelines, ICDCS 2025
Dimitrios Tomaras, Vana Kalogeraki, Christos Varytimidis, Evangelos Anagnostopoulos, Rahul Nair, Elizabeth M. Daly, Jakub Marecek and Dimitrios Gunopulos Link
Fault Tolerance Enhancements for Redundancy Conversion with Diagonally Interleaved Coding, EDCC 2026
Ioannis Tzouros, Vana Kalogeraki
Best Poster Award in European Conference on Computer Systems (EuroSys) 2024
Michail Tsenos and Aristotelis Peri on their joint work with their advisor, Prof. Vana Kalogeraki, received the “Best Poster Award” in the European Conference on Computer Systems (EuroSys 2024) for the work Energy-Aware Scheduling for Serverless Computing
A holistic approach for modeling and predicting bike demand, Information Systems 111, Elsevier, 2023
Dimitrios Tomaras, Ioannis Boutsis, Vana Kalogeraki Link
STRATA: Random Forests going Serverless, Middleware, 2024
Dimitrios Tomaras, Sebastian Buschjäger, Vana Kalogeraki, Katharina Morik, Dimitrios Gunopulos Link
TIMBER: On supporting data pipelines in Mobile Cloud Environments, MDM, 2024
Dimitrios Tomaras, Michail Tsenos, Vana Kalogeraki, Dimitrios Gunopulos Link
A Framework for Feasible Counterfactual Exploration incorporating Causality, Sparsity and Density, FAIR@ICDEW, 2024
Kleopatra Markou, Dimitrios Tomaras, Vana Kalogeraki, Dimitrios Gunopulos Link
EDIC: Towards Improving Fault Tolerance of Erasure Codes with Redundancy Conversion, Workshop Paper, SRDS, 2025
Ioannis Tzouros, Vana Kalogeraki Link
CONCERTO: Constrained Linear Multi-Objective Routing Path Optimization, MDM, 2025
Athanasios Makropoulos, Dimitrios Gunopulos, Vana Kalogeraki, Nikolaos Zygouras Link