Rayzit: An Anonymous and Dynamic Crowd Messaging Architecture. - Constantinos Costa; Chrysovalantis Anastasiou; Georgios Chatzimilioudis; Demetrios Zeinalipour-Yazti (MDM (2), 2015)

Extending Apache Spark with a Mediation Layer. - Dimitris Stripelis; Chrysovalantis Anastasiou; José Luis Ambite (SBD@SIGMOD, 2018)

ADMSv2: A Modern Architecture for Transportation Data Management and Analysis. - Chrysovalantis Anastasiou; Jianfa Lin; Chaoyang He 001; Yao-Yi Chiang; Cyrus Shahabi (ARIC@SIGSPATIAL, 2019)

Time-Dependent Reachability Analysis: A Data-Driven Approach. - Chrysovalantis Anastasiou; Chao Huang; Seon Ho Kim; Cyrus Shahabi (MDM, 2019)

MR-Cubes: On-the-Fly Computation of Location Popularity from Check-in Data Streams. - George Constantinou; Chrysovalantis Anastasiou; Dimitris Stripelis; Cyrus Shahabi (MDM, 2019)

Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption. - Dimitris Stripelis; Hamza Saleem; Tanmay Ghai; Nikhil J. Dhinagar; Umang Gupta; Chrysovalantis Anastasiou; Greg Ver Steeg; Srivatsan Ravi; Muhammad Naveed 001; Paul M. Thompson; José Luis Ambite (CoRR, 2021)

EPICGen: An Experimental Platform for Indoor Congestion Generation and Forecasting. - Chrysovalantis Anastasiou; Constantinos Costa; Panos K. Chrysanthis; Cyrus Shahabi (Proc. VLDB Endow., 2021)

Generation of Synthetic Urban Vehicle Trajectories. - Chrysovalantis Anastasiou; Seon Ho Kim; Cyrus Shahabi (IEEE Big Data, 2022)

Data-driven Traffic Index from Sparse and Incomplete Data. - Chrysovalantis Anastasiou; Juanhao Zhao; Seon Ho Kim; Cyrus Shahabi (ITSC, 2022)

Secure Federated Learning for Neuroimaging. - Dimitris Stripelis; Umang Gupta; Hamza Saleem; Nikhil J. Dhinagar; Tanmay Ghai; Rafael Sanchez; Chrysovalantis Anastasiou; Armaghan Asghar; Greg Ver Steeg; Srivatsan Ravi; Muhammad Naveed 001; Paul M. Thompson; et al. (CoRR, 2022)

ASTRO: Reducing COVID-19 Exposure through Contact Prediction and Avoidance. - Chrysovalantis Anastasiou; Constantinos Costa; Panos K. Chrysanthis; Cyrus Shahabi; Demetrios Zeinalipour-Yazti (ACM Trans. Spatial Algorithms Syst., 2022)

MetisFL: An Embarrassingly Parallelized Controller for Scalable & Efficient Federated Learning Workflows. - Dimitris Stripelis; Chrysovalantis Anastasiou; Patrick Toral; Armaghan Asghar; José Luis Ambite (DistributedML@CoNEXT, 2023)

Time-variant road network-based bridgelets. - Chrysovalantis Anastasiou; John Krumm; Cyrus Shahabi (MDM, 2023)

Estimating mobility distributions from uncertain roadside sensor datasets. - Chrysovalantis Anastasiou; John Krumm; Cyrus Shahabi (MDM, 2024)

A federated learning architecture for secure and private neuroimaging analysis. - Dimitris Stripelis; Umang Gupta; Hamza Saleem; Nikhil J. Dhinagar; Tanmay Ghai; Chrysovalantis Anastasiou; Rafael Sanchez; Greg Ver Steeg; Srivatsan Ravi; Muhammad Naveed 001; Paul M. Thompson; José Luis Ambite (Patterns, 2024)

BIG-Bench Extra Hard. - Mehran Kazemi; Bahare Fatemi; Hritik Bansal; John Palowitch; Chrysovalantis Anastasiou; Sanket Vaibhav Mehta; Lalit K. Jain; Virginia Aglietti; Disha Jindal; Peter Chen; Nishanth Dikkala; Gladys Tyen; et al. (ACL (1), 2025)

TrajRoute: Rethinking Routing with a Simple Trajectory-Based Approach - Forget the Maps and Traffic! - Maria Despoina Siampou; Chrysovalantis Anastasiou; John Krumm; Cyrus Shahabi (MDM, 2025)

BIG-Bench Extra Hard. - Mehran Kazemi; Bahare Fatemi; Hritik Bansal; John Palowitch; Chrysovalantis Anastasiou; Sanket Vaibhav Mehta; Kshitij Jain 001; Virginia Aglietti; Disha Jindal; Peter Chen; Nishanth Dikkala; Gladys Tyen; et al. (CoRR, 2025)