Mohammed Pivezhandi

Publications

My research spans AI-guided scheduling, high-performance computing, reinforcement learning, and computer architecture, resulting in several publications in prestigious journals and conferences.

Ph.D. Thesis

Mohammad Pivezhandi. “Data-Efficient AI-Guided Energy- and Thermal-Aware Scheduling on Heterogeneous Multicore Systems.” Ph.D. Dissertation, Wayne State University, 2025.

Preprints (ArXiv)

  1. Mohammad Pivezhandi, A. Saifullah, A. Jannesari. “Energy and Thermal-Aware Scheduling based on Hierarchical Multi-Agent Reinforcement Learning for Parallel OpenMP DAG Workloads.” arXiv preprint arXiv:2601.06425, 2025.

  2. Mohammad Pivezhandi, V. P. Modekurthy, A. Saifullah. “A Statistical Learning Approach for Feature-Aware Task-to-Core Allocation in Heterogeneous Platforms.” arXiv preprint arXiv:2502.15716, 2025.

  3. Mohammad Pivezhandi, A. Jain, A. Saifullah, A. Jannesari. “Zero-Shot Cross-Platform Scheduling with Large Language Model Feature Extraction.” arXiv preprint arXiv:2601.08166, 2025.

  4. Mohammad Pivezhandi, A. Saifullah. “A Distribution-Aware Flow Matching for Generating Unstructured Data for Few-Shot Reinforcement Learning.” arXiv preprint arXiv:2409.14178, 2024.

  5. Mohammad Pivezhandi, A. Saifullah, A. Jannesari. “Uncertainty-Aware Prediction for Energy-Aware Scheduling Using Graph Neural Networks with Evidential Deep Learning.” arXiv preprint arXiv:2512.12091, 2024.

Journal Publications

  1. Mohammad Pivezhandi, Abedi K., Hassanzadeh A. “Accuracy Improvement with Reliable Statistical-Based Models for CNT-FET Applications.” Springer Journal of Computational Electronics, 2017.

  2. Mohammad Pivezhandi, Maybodi B. M.-N. “Statistical Based Neural Network in Human Activity Recognition.” International Journal of Computer Applications, vol. 124, no. 12, 2015.

Conference Publications

  1. Mohammad Pivezhandi, Banisharif M., Saifullah A. “ZeroDVFS: Zero-Shot LLM-Guided Autonomous Agent for Energy-Aware Resource Allocation in Embedded Systems.” ICLR Workshop on Agentic AI in the Wild: From Hallucinations to Reliable Autonomy, 2026.

  2. Mohammad Pivezhandi, Modekurthy V. P., Saifullah A. “A Statistical Learning Approach for Feature-Aware Task-to-Core Allocation in Heterogeneous Platforms.” IEEE Real-Time Computing and Applications Symposium (RTCSA), 2025.

  3. Mohammad Pivezhandi, Jain A., Saifullah A., Jannesari A. “Energy and Thermal-Aware Scheduling based on HMARL for OpenMP DAG Workloads.” Work-In-Progress, IEEE Real-Time Systems Symposium (RTSS), 2024.

  4. Ahmed A., Mohammad Pivezhandi, Guo Z., Li J., Modekurthy V. P., Saifullah A. “Precise Scheduling of DAG Tasks with Dynamic Power Management.” Euromicro Conference on Real-Time Systems (ECRTS), 2023.

  5. Bashir Q., Mohammad Pivezhandi, Saifullah A. “Energy- and Temperature-aware Scheduling: From Theory to Practical Implementation on Intel Processor.” IEEE International Conference on High Performance Computing and Communications (HPCC), 2022.

  6. Bengre V., HoseinyFarahabady M. R., Mohammad Pivezhandi, Zomaya A. Y., Jannesari A. “A Learning-Based Scheduler for High Volume Processing in Data Warehouse using Graph Neural Networks.” International Conference on Parallel and Distributed Computing (PDCAT), 2021.

  7. Mohammad Pivezhandi, Jones P. H., Zambreno J. “ParaHist: FPGA Implementation of Parallel Event-Based Histogram for Optical Flow Calculation.” IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2020.

  8. Mohammad Pivezhandi, Eshghi M. “ASIP Design for Two Dimensional Cordic based DFT and DCT Algorithms.” International Conference on Computer and Knowledge Engineering (ICCKE), 2016.