Authors select a primary track at abstract registration. The PC chairs may reassign submissions across tracks to balance reviewer load. Papers are reviewed by at least three PC members from the relevant track, plus one cross-track reviewer for interdisciplinary submissions.
T1
Agentic AI Systems
Track Chairs · Prof. Lena Holtz (ETH Zürich) · Dr. Samuel Chen (Google DeepMind)
Architectures, runtimes, and evaluation methodologies for autonomous and multi-agent systems operating across heterogeneous cloud and edge substrates.
- ·Multi-agent coordination, negotiation, and planning
- ·Tool-use, code execution, and sandboxed agent runtimes
- ·Memory systems, retrieval, and long-horizon reasoning
- ·Benchmarks, evaluation, and reproducibility for agent workflows
- ·Cost-, latency-, and energy-aware agent scheduling
T2
Cloud Infrastructure & Distributed Systems
Track Chairs · Dr. Priya Ramanathan (MIT CSAIL) · Dr. Marcus Wei (Carnegie Mellon)
Foundational systems research on programmable cloud fabrics, serverless platforms, storage, scheduling, and the systems supporting modern AI workloads.
- ·Serverless and FaaS runtimes; cold-start mitigation
- ·Distributed training and inference for foundation models
- ·Cluster scheduling, resource disaggregation, GPU/TPU fabrics
- ·Storage systems, caching, and consistency at scale
- ·Datacenter networking, RDMA, and programmable switches
T3
IoT, Edge & Cyber-Physical Systems
Track Chairs · Prof. Diego Alvarez (UC Berkeley) · Dr. Naledi Okonkwo (TU Delft)
End-to-end systems spanning constrained devices, edge gateways, and cloud back-ends, with an emphasis on real-world deployment and field evaluation.
- ·Edge–cloud orchestration and federated learning
- ·Low-power wireless, 5G/6G, and TSN integration
- ·Sensor fusion, time-series analytics, digital twins
- ·Industrial IoT, smart-grid, and autonomous mobility
- ·On-device ML, model compression, and TinyML
T4
Security, Privacy & Trust
Track Chairs · Prof. Jamal Holt (Stanford) · Dr. Yuki Aras (NTT Research)
Threat models, defenses, and verifiable guarantees for cloud, IoT, and agent ecosystems, including confidential computing and supply-chain integrity.
- ·Confidential computing, TEEs, and attestation
- ·IoT device identity, provisioning, and lifecycle security
- ·Adversarial robustness and red-teaming for agents and LLMs
- ·Privacy-preserving ML and differential privacy at scale
- ·Software supply-chain security and SBOM verification
T5
Sustainable & Carbon-Aware Computing
Track Chairs · Dr. Elena Ricci (Politecnico di Milano) · Dr. Aaron Hayes (Microsoft Research)
Measuring, modelling, and reducing the environmental impact of cloud and IoT systems, from silicon to datacenter to global scheduling.
- ·Carbon-aware scheduling and workload shifting
- ·Energy modelling for training, inference, and inference serving
- ·Hardware lifecycle and embodied-carbon accounting
- ·Sustainable network and edge deployments
- ·Policy, reporting, and standards (SCI, GHG Protocol)
T6
Experience & Industrial Track
Track Chairs · Dr. Jonathan Chen (Amazon) · Prof. Margaret Hwang (NUS)
Rigorous deployment papers, post-mortems, and measurement studies from production cloud, IoT, and agent systems. Single-blind review; up to 10 pages.
- ·Production deployment studies and post-mortems
- ·Large-scale measurement of cloud, edge, or agent systems
- ·Negative results and lessons learned
- ·Operational tooling, observability, and SRE practice