V. Kumar, B. Ranjbar, and A. Kumar, ‘Utilizing machine learning techniques for worst-case execution time estimation on GPU architectures’, IEEE access / Institute of Electrical and Electronics Engineers, vol. 12, pp. 41464–41478, Mar. 2024, doi: 10.1109/access.2024.3379018.

V. Kumar, B. Ranjbar, and A. Kumar, ‘ESOMICS: ML-based timing behaviour analysis for efficient mixed-criticality system design’, IEEE access / Institute of Electrical and Electronics Engineers, vol. 12, pp. 67013–67024, May 2024, doi: 10.1109/access.2024.3396225.

V. Kumar, B. Ranjbar, and A. Kumar, ‘Motivating the Use of Machine-Learning for Improving Timing Behaviour of Embedded Mixed-Criticality Systems’, in 2024 Design, Automation and Test in Europe Conference and Exhibition: proceedings, Valencia, Jun. 2024, Published. [Online]. Available: https://ieeexplore.ieee.org/abstract/document/10546654

B. Ranjbar, P. Justen, and A. Kumar, ‘GNN-MiCS: Graph Neural-Network-Based Bounding Time in Embedded Mixed-Criticality Systems’, IEEE embedded systems letters / Institute of Electrical and Electronics Engineers, vol. 2024, Sep. 2024, doi: 10.1109/les.2024.3466268.

B. Ranjbar et al., ‘Learning-oriented reliability improvement of computing systems from transistor to application level’, in 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerpen, 2023, Published. doi: 10.23919/date56975.2023.10137182.

B. Ranjbar, A. Hosseinghorban, and A. Kumar, ‘Motivating agent-based learning for bounding time in mixed-criticality systems’, in 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), Antwerpen, 2023, Published. doi: 10.23919/date56975.2023.10137189.

M. Bawatna, B. Ranjbar, and A. Kumar, ‘A hybrid scheduling mechanism for multi-programming in mixed-criticality systems’, in 2022 25th Euromicro Conference on Digital System Design (DSD), Maspalomas, 2023, pp. 181–188. doi: 10.1109/dsd57027.2022.00033.

B. Ranjbar, A. Ejlali, and A. Kumar, Quality-of-service aware design and management of embedded mixed-criticality systems. Cham: Springer Internation Publishing, 2023. doi: 10.1007/978-3-031-38960-3.

B. Ranjbar, A. Hosseinghorban, and A. Kumar, ‘ADAPTIVE: Agent-Based Learning for Bounding Time in Mixed-Criticality Systems’, in 2023 60th ACM/IEEE Design Automation Conference (DAC), San Francisco, Sep. 2023, Published. doi: 10.1109/dac56929.2023.10248007.

B. Ranjbar, A. K. Singh, S. S. Sahoo, P. Dziurzanski, and A. Kumar, ‘Power management of multicore systems’, in Handbook of Computer Architecture, A. Chattopadhyay, Ed. Singapur: Springer Nature Singapore, 2023. doi: 10.1007/978-981-15-6401-7_55-1.

B. Ranjbar, H. Alikhani, B. Safaei, A. Ejlali, and A. Kumar, ‘Learning-oriented QoS- and drop-aware task scheduling for mixed-criticality systems’, Computers, vol. 11, no. 7, Art. no. 101, Jun. 2022, doi: 10.3390/computers11070101.

M. Navardi, B. Ranjbar, N. Rohbani, A. Ejlali, and A. Kumar, ‘Peak-power aware life-time reliability improvement in fault-tolerant mixed-criticality systems’, IEEE open journal of circuits and systems, vol. 3, pp. 199–215, Sep. 2022, doi: 10.1109/ojcas.2022.3207598.

F. Bahrami, B. Ranjbar, N. Rohbani, and A. Ejlali, ‘PVMC: Task Mapping and Scheduling under Process Variation Heterogeneity in Mixed-Criticality Systems’, IEEE transactions on emerging topics in computing, vol. 10, no. 2, pp. 1166–1177, 2022, doi: 10.1109/tetc.2021.3072286.

B. Ranjbar, A. Hosseinghorban, S. S. Sahoo, A. Ejlali, and A. Kumar, ‘BOT-MICS: bounding time using analytics in mixed-criticality systems’, IEEE transactions on computer-aided design of integrated circuits and systems / Institute of Electrical and Electronics Engineers, vol. 41, no. 10, pp. 3239–3251, Nov. 2021, doi: 10.1109/tcad.2021.3127867.

B. Ranjbar, A. Hosseinghorban, M. Salehi, A. Ejlali, and A. Kumar, ‘Toward the design of fault-tolerance-aware and peak-power-aware multicore mixed-criticality systems’, IEEE transactions on computer-aided design of integrated circuits and systems / Institute of Electrical and Electronics Engineers, vol. 41, no. 5, pp. 1509–1522, May 2021, doi: 10.1109/tcad.2021.3082495.

S. S. Sahoo, B. Ranjbar, and A. Kumar, ‘Reliability-aware resource management in multi-/many-core systems: a perspective paper’, Journal of Low Power Electronics and Applications, vol. 11, no. 1, Art. no. 7, Jan. 2021, doi: 10.3390/jlpea11010007.

B. Ranjbar, A. Hoseinghorban, S. S. Sahoo, A. Ejlali, and A. Kumar, ‘Improving the timing behaviour of mixed-criticality systems using Chebyshev’s theorem’, in Proceedings of the 2021 Design, Automation & Test in Europe (DATE 2021), Online, 2021, pp. 264–269. doi: 10.23919/date51398.2021.9474263.

B. Ranjbar, T. D. A. Nguyen, A. Ejlali, and A. Kumar, ‘Power-aware runtime scheduler for mixed-criticality systems on multicore platform’, IEEE transactions on computer-aided design of integrated circuits and systems / Institute of Electrical and Electronics Engineers, vol. 40, no. 10, pp. 2009–2023, Oct. 2020, doi: 10.1109/tcad.2020.3033374.

B. Ranjbar, B. Safaei, A. Ejlali, and A. Kumar, ‘FANTOM: fault tolerant task-drop aware scheduling for mixed-criticality systems’, IEEE access / Institute of Electrical and Electronics Engineers, vol. 8, pp. 187232–187248, Oct. 2020, doi: 10.1109/access.2020.3031039.

B. Ranjbar, T. D. A. Nguyen, A. Ejlali, and A. Kumar, ‘Online peak power and maximum temperature management in multi-core mixed-criticality embedded systems’, in 2019 22nd Euromicro Conference on Digital System Design (DSD), Kallithea, 2019, Published. doi: 10.1109/dsd.2019.00084.