Paper 'SAPar: A Surrogate-Assisted DNN Partitioner for Efficient Inferences on Edge TPU Pipelines' accepted at EMSOFT 2025
Paper 'RestoreML: Practical Unsupervised Tuning of Deployed Intelligent IoT Systems' received Best Paper Award at DCOSS 2025
Position paper 'Deep reinforcement learning for real‑time resource management' accepted by Real-Time Systems journal
Paper 'Multi-Objective Memory Bandwidth Regulation and Cache Partitioning for Multicore Real-Time Systems' accepted at ECRTS 2025
Paper 'Response Time Analysis and Optimal Priority Assignment for Global Non-Preemptive Fixed-Priority Rigid Gang Scheduling' accepted by IEEE Transactions on Parallel and Distributed Systems
Paper 'Minimizing cache usage with fixed-priority and earliest deadline first scheduling' accepted by Real-Time Systems journal
Paper 'Partitioned Scheduling and Parallelism Assignment for Real-Time DNN Inference Tasks on Multi-TPU' accepted at DAC 2024
Paper 'Strict Partitioning for Sporadic Rigid Gang Tasks' accepted at RTAS 2024
Paper 'Edge Generation Scheduling for DAG Tasks using Deep Reinforcement Learning' accepted by IEEE Transactions on Computers
Paper 'Co-Optimizing Cache Partitioning and Multi-Core Task Scheduling: Exploit Cache Sensitivity or Not?' accepted at RTSS 2023
Paper 'Minimizing Cache Usage for Real-time Systems' received Best Paper Award at RTNS 2023 and presented there