| 2026 | BlackOps: GIS-Informed Planning for Healthcare Resilience Amid Power Grid Outages. | Modeste Mefenya Kenne, Andrew Chio, Zhenghui Hu, Julie Rousseau, Nalini Venkatasubramanian |
| 2026 | Benchmarking Object Detection Models for Tuta Absoluta Egg Identification in Field Images. | Georgios Katranas, Isaak Kavasidis, Zisis Tsiropoulos, Ioannis Gravalos |
| 2026 | Optimized Collective Perception Service for Vehicular Networks. | Thenuka Karunathilake, Anna Frster |
| 2026 | FedAVL: Automated Vertical Federated Learning for Heterogeneous Healthcare Data. | Ferdinand Kahenga, Gad Tambwe, Antoine Bagula, Jovita Mateus, Sajal K. Das |
| 2026 | A Two-Stage Hybrid Deep and Machine Learning Framework for Anomaly Detection and Classification in IoT Sensor Networks. | Chiraz Houaidia, Ichrak Amdouni, Lela Azouz Sadane |
| 2026 | Natural Language Driven Multi-Object Tracking via Joint Spatial, Visual, and Semantic Association. | Azhar Hasan, Alex Richardson, Gabor Karsai |
| 2026 | QAIRAS: A Resource-Bounded Hybrid Quantum-Inspired Architecture for Secure Smart Systems. | Patrick Hamilton, M. Arif Khan, Md. Rafiqul Islam, Fendy Santoso |
| 2026 | PLAIground: SLO-Driven Runtime Model Selection for Compound AI Systems in the Edge-Cloud-Space Continuum. | Milos Gravara, Cynthia Marcelino, Andrija Stanisic, Stefan Nastic |
| 2026 | Optimizing LoRaWAN Coverage for IoTaaS in Dense Urban Scenario through Validation-Based Radio Planning. | Maurizio Giacobbe, Sarah Zanafi, Antonio Puliafito |
| 2026 | Secure and Dependable UAV through Rejuvenation. | Maurizio Giacobbe, Marco Scarpa, Salvatore Distefano |
| 2026 | RamanLLM: Reprogramming Frozen Large Language Models for Raman Spectral Analysis. | lvaro Garca, Simone Innocente, Nicola Rossberg, Malik Muhammad Qirtas, Andrea Visentin |
| 2026 | FedLLM-Align: Feature Extraction From Heterogeneous Clients. | Abdelrhman Gaber, Muhammad El-Mahdy, Youssif Abuzied, Hassan Abd-Eltawab, Tamer ElBatt |
| 2026 | PhD Forum: Towards a Lightweight Foundation Model for Smart-Home Sensor Data. | Michele Fiori |
| 2026 | Enabling the Cloud-to-Autonomous-Vehicles continuum for future Industrial IoT Applications: the CAVIA approach. | Gianluca Filippone, Francesca Righetti, Francesco di Rienzo, Marco Autili, Alberto Ceselli, Christian Quadri, Carlo Vallati |
| 2026 | An AI-driven Digital Twin Methodology To Optimize Irrigation in Greenhouses. | Ilenia Ficili, Maurizio Giacobbe, Giuseppe Tricomi, Antonio Puliafito |
| 2026 | PhD Forum: From Incremental Learning to Federated Distillation, Continual and Privacy-Preserving Intelligence at the Edge. | Ilenia Ficili |
| 2026 | Capacitive Swipe Gesture-Based User Identification Using Deep Learning and Image Fusion. | Kaye Feinberg, Md. Shafaeat Hossain, Jundong Chen |
| 2026 | Assessing the Feasibility of Quantum Autoencoders for Real-World Visual Anomaly Detection. | Farida Farsian, Attilio Azzarelli, Fabrizio De Vita, Giovanni Merlino, Francesco Schillir |
| 2026 | PhD Forum: Learning Adaptive Adversarial Attacks for Medical AI via Reinforcement Learning. | Manuel Fabiano |
| 2026 | Precomputed 1D-CNNs for Atrial Fibrillation Detection on Tiny Smart Sensor Systems. | Lukas Einhaus, Natalie Maman, Julian Hoever, Andreas Erbslh, Gregor Schiele |
| 2026 | Demo: Deriving LUT-based Neural Network Hardware Accelerators for Tiny Smart Sensor Systems. | Lukas Einhaus, Natalie Maman, Julian Hoever, Andreas Erbslh, Gregor Schiele |
| 2026 | CoBO: Conformal-Constrained Bayesian Optimization for Energy-Efficient SLO-Aware DNN Inference. | Ivan Dokuchaev, Ali Kadhum Idrees, Rolf Schuster |
| 2026 | A Recipe for Data-driven Medicine: Data Encoding, Machine Learning, and Quantum Computing. | Salvatore Distefano, Mansur Ziiatdinov |
| 2026 | Automated Litter Characterization for Smart Cities. | Emily Diaz-Silva, Grace Gao, Nidhi Begur, Sandina Charles, Rishith Arra, Suvosree Chatterjee, Mahdi Zarif, Jason O. Hallstrom |
| 2026 | Optimization of Energy Costs and EV Battery Health in V2G Enabled Homes. | Jainam Dhruva, Dzifa Hodey, Simone Silvestri |