News

• Jun 2025: I become a TPC committee member in ISPA 2025
• May 2025: Awarded a travel grant to attend the IEEE Real-Time Computing and Applications Symposium (RTCSA) in Singapore, recognizing contributions to energy-aware scheduling research.
• April 2025: Published a new paper: Mohammad Pivezhandi, V. P. Modekurthy, A. Saifullah, “A Statistical Learning Approach for Feature-Aware Task-to-Core Allocation in Heterogeneous Platforms,” in IEEE Real-Time Computing and Applications Symposium (RTCSA), 2025.
• December 2024: Presented a work-in-progress paper: Mohammad Pivezhandi, A. Jain, A. Saifullah, A. Jannesari, “Energy and Thermal-Aware Scheduling based on HMARL for OpenMP DAG Workloads,” at IEEE Real-Time Systems Symposium (RTSS), 2024.
• August 2024: Ongoing research on a model-based Multi-Agent Reinforcement Learning (MARL) framework for DVFS optimization and an LLM-driven CFG-based code optimizer for OpenMP, targeting submissions to RTAS 2025 and AAAI 2025, respectively.
• 2022–2024: Invited as a peer reviewer for prestigious conferences, including International Conference on Parallel Processing (ICPP) and International Symposium on Parallel and Distributed Computing (ISPDC), completing at least two reviews.
• 2022–2025: Secured National Science Foundation (NSF) funding for research on AI-guided energy- and thermal-aware scheduling for heterogeneous multicore systems.