COMSNETS 2026 Awards
COMSNETS 2026 Awards Announced!
Best Paper Awards
Adaptive Beam Steering in WPCNs under Slotted ALOHA via Deep Q-Learning
Nonlinear Energy Harvesting Based Relaying for Efficient Multi-Rate SWIPT in Energy-Constrained Networks
Best Poster Award
Tag-to-tag Range Estimation for Passive Backscattering Tags
Best Poster - First Runners Up
Real-Time Topology-Aware Log-Metric Correlation for LLM-based Root Cause Analysis in Distributed Systems
Best Poster - Second Runners Up
AHEAD-N2: Accelerating N2 Handovers in 5G and Beyond using Early Adaptive Decisions for Improved Availability and Resilience
Best Demos-Exhibits Awards
High Resolution Range Estimation Using Millimeter Wave Integrated Sensing and Communication on RFSoC
Mirror-Assisted Non-Line-of-Sight Voice Communication Over Solar Panels as Receivers for Long-Range Low-Power Links
Graduate Forum Best Paper Award
Anomaly Detection using Directed Motif and Node Attributes
Graduate Forum Best Paper - Runners Up
MCP-Diag: A Deterministic, Protocol-Driven Architecture for AI-Native Network Diagnostics
Undergraduate Forum Best Paper Awards
Zero-Trust Stealth Authentication for Networked Systems via Port Knocking and TLS Fingerprinting
Curiosity-Driven Deep-RL for Adaptive Handover Optimization in O-RAN on the NH-47 Corridor
Machine Intelligence in Networked Data and Systems
How Far is too Far? Fixing Vision of Autonomous Vehicles using Selective Super-Resolution
Cyber Security and Privacy - Best Paper Awards
eQUIC: A Resource-friendly Encryption-based Framework to Secure QUIC Handshake Process from MITM Attacks
Post-Quantum DLT Framework for Secure Financial Transactions in Banking Applications
Cyber Security and Privacy - Best Paper Honorable Mention
A Service Provider Recommendation System for Verifiable Credential Ecosystem
Advances in Autonomous Driving and Vehicular Networks (Oral)
A Deep Reinforcement Learning Approach for Dynamic Microservice Placement in Vehicular Edge Computing
Advances in Autonomous Driving and Vehicular Networks (Poster)
Interpretable Traffic Flow Prediction with LSTM and Graph Convolutional Networks
Internet Intelligence and Governance Workshop
Revisiting Queue Delay Estimation Techniques in PIE and FQ-PIE: An Empirical Evaluation
Systems for the Future of AI/ML
Post-Quantum Secure IoT-Enabled Crop Recommender System Using Machine Learning
ML-Based Refrigerator Scheduling for Energy Efficiency in Renewable-Integrated Smart Homes
Artificial Intelligence of Things
Low-Cost IoT-Based Downtime Detection For UPS and Behaviour Analysis