| 2026 | CIDR | Data Movement-Aware GPU Sharing for Data-Intensive Systems. | Yi Jiang, Hamish Nicholson, Viktor Sanca, Anastasia Ailamaki |
| 2026 | ICDE | A-Scan: Efficient Scale-Up Analytics via Throughput-Guided Data Movement. | Hamish Nicholson, Aunn Raza, Viktor Sanca, Anastasia Ailamaki |
| 2025 | SIGMOD | Reproducibility Report for ACM SIGMOD 2025 Paper: 'Approximating Opaque Top-k Queries'. | Viktor Sanca, Yujie Hui |
| 2024 | DaMoN | Efficient Data Access Paths for Mixed Vector-Relational Search. | Viktor Sanca, Anastasia Ailamaki |
| 2024 | ICDE | Optimizing Context-Enhanced Relational Joins. | Viktor Sanca, Manos Chatzakis, Anastasia Ailamaki |
| 2024 | SIGMOD | Reproducibility Report for ACM SIGMOD 2024 Paper: 'A Unified Approach for Resilience and Causal Responsibility with Integer Linear Programming (ILP) and LP Relaxations'. | Viktor Sanca, Yesdaulet Izenov, Amedeo Pachera, Neha Makhija, Wolfgang Gatterbauer |
| 2023 | ICDE | Analytical Engines With Context-Rich Processing: Towards Efficient Next-Generation Analytics. | Viktor Sanca, Anastasia Ailamaki |
| 2023 | VLDB | Improving K-means Clustering Using Speculation. | Stefan Igescu, Viktor Sanca, Eleni Zapridou, Anastasia Ailamaki |
| 2023 | VLDB | Post-Moore's Law Fusion: High-Bandwidth Memory, Accelerators, and Native Half-Precision Processing for CPU-Local Analytics. | Viktor Sanca, Anastasia Ailamaki |
| 2023 | VLDB | E-Scan: Consuming Contextual Data with Model Plugins. | Viktor Sanca, Anastasia Ailamaki |
| 2022 | DaMoN | Sampling-Based AQP in Modern Analytical Engines. | Viktor Sanca, Anastasia Ailamaki |
| 2021 | CIDR | Accelerating Complex Analytics using Speculation. | Panagiotis Sioulas, Viktor Sanca, Ioannis Mytilinis, Anastasia Ailamaki |