Seyed Hossein Ahmadpanah
Orcid: 0009-0007-8460-2074
According to our database1,
Seyed Hossein Ahmadpanah authored at least 17 papers
between 2016 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
Net-Kafka: network-contextualized Bayesian optimization for resilient stream processing in lossy IoT environments.
Computing, May, 2026
DYNTRACE-SEC: adaptive security for containerized environments via load-aware segmentation and trust-driven policy specification and enforcement.
J. Supercomput., March, 2026
The Cache Oracle: Preemptive Request Dispatching for I/O-Asymmetric Serverless Databases.
Concurr. Comput. Pract. Exp., January, 2026
Semantic-aware LLM orchestration for proactive resource management in predictive digital twin vehicular networks.
Computing, January, 2026
DeSIST: Emergent security in IoT through Decentralized Strategic Interactions - A game-theoretic Zero Trust framework.
Pervasive Mob. Comput., 2026
Elevating anomaly detection in IoT: A novel feature engineering framework for high-fidelity threat identification.
Pervasive Mob. Comput., 2026
Concord: A scalable, trace-driven, and reproducible framework for resilient container warming in serverless IoT.
Future Gener. Comput. Syst., 2026
Collaborative deployment of Large AI Models on the edge: A microservice approach to heterogeneous training and quantized inference.
Ad Hoc Networks, 2026
Context-Aware Autoscaling for Cost-Efficient Large Language Model Inference With Prefix Cache Integration.
IEEE Access, 2026
2025
Cerebrum: A Proactive Federated Learning Framework for Multi-Objective Edge Workflow Scheduling.
J. Grid Comput., December, 2025
ATLAS: adaptive threat-learning algorithm for secure container migration in heterogeneous multi-cloud environments.
Clust. Comput., December, 2025
FlexiMigrate: enhancing live container migration in heterogeneous computing environments.
Clust. Comput., November, 2025
Dynamic token pruning for LLMs: leveraging task-specific attention and adaptive thresholds.
Knowl. Inf. Syst., September, 2025
2016