Publications

  1. J. Vafaei and O. Akbari “HPR-Mul: An Area and Energy-Efficient High-Precision Redundancy Multiplier by Approximate Computing,” accepted in IEEE Transactions on Very Large Scale Integration Systems , Aug. 2024.

  2. F. Hosseinkhani, O. Akbari, and M. Shafique “A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems,” accepted in IEEE Access , Aug. 2024.

  3. A. Azimi and O. Akbari, “A Deep Reinforcement Learning-Based Method for Dynamic Quality of Service aware Energy and Occupant Comfort Management in Intelligent Buildings,” accepted in e-Prime – Advances in Electrical Engineering, Electronics and Energy , July 2024.

  4. A. Senobari, J. Vafaee, O. Akbari, Ch. Hochberger, M. Shafique, “A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs based on Statistical Error Modeling,” in IEEE Access , vol. 12, pp. 92181-92197, 2024.

  5. F. Joorghanian and O. Akbari, “Energy Management of Smart Buildings Using Graph Neural Network,” accepted in Tabriz Journal of Electrical Engineering (TJEE) , May. 2024.

  6. M. Yousefloo and O. Akbari, “Design Exploration of Fault-Tolerant Deep Neural Networks using Posit Number Representation System,” accepted in IEEE Transactions on Very Large Scale Integration Systems , vol. 32, no. 7, pp. 1350-1363, July 2024.

  7. B. Vakili, O. Akbari, B. Ebrahimi, “Efficient Approximate Multipliers Utilizing Compact and Low-power Compressors for Error-Resilient Applications,” in AEUE – International Journal of Electronics and Communications, vol. 174, no. 155039, Jan. 2024.

  8. A. A. Bahoo, O. Akbari, M. Shafique, “An Energy-Efficient Generic Accuracy Configurable Multiplier Based on Block-Level Voltage Overscaling,” in IEEE Transactions on Emerging Topics in Computing, vol. 11, no. 4, pp. 851-867, Oct.-Dec. 2023.

  9. J. Vafaei, O. Akbari, M. Shafique, Ch. Hochberger, “X-Rel: Energy-Efficient and Low-Overhead Approximate Reliability Framework for Error-Tolerant Applications Deployed in Critical Systems,” in IEEE Transactions on Very Large Scale Integration Systems, vol. 31, no. 7, pp. 1051-1064, July 2023.

  10. M. Ghanatabadi, B. Ebrahimi and O. Akbari, “Accurate and Compact Approximate 4:2 Compressors with GDI Structure,” in Circuits, Systems, and Signal Processing (CSSP) , vol. 42, pp. 4148–4169, 2023.

  11. A. Khaksari, O. Akbari and B. Ebrahimi, “BEAD: Bounded Error Approximate Adder with Carry and Sum Speculations,” in Integration, the VLSI journal , vol. 88, pp. 353-361, 2023.

  12. F. Ebrahimi-Azandaryani, O. Akbari, M. Kamal, A. Afzali-Kusha and M. Pedram, “Accuracy Configurable Adders with Negligible Delay Overhead in Exact Operating Mode,” in ACM Transactions on Design Automation of Electronic Systems (TODAES) , july. 2022. https://doi.org/10.1145/3549936

  13. O. Akbari, M. Kamal, A. Afzali-Kusha, M. Pedram and M. Shafique, “X-CGRA: An Energy-Efficient Approximate Coarse-Grained Reconfigurable Architecture,” in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , vol. 39, no. 10, pp. 2558-2571, Oct. 2020, doi: 10.1109/TCAD.2019.2937738.

  14. F. Ebrahimi-Azandaryani, O. Akbari, M. Kamal, A. Afzali-Kusha and M. Pedram, “Block-Based Carry Speculative Approximate Adder for Energy-Efficient Applications,” in IEEE Transactions on Circuits and Systems II: , Express Briefs, vol. 67, no. 1, pp. 137-141, Jan. 2020, doi: 10.1109/TCSII.2019.2901060.

  15. O. Akbari, M. Kamal, A. Afzali-Kusha, M. Pedram and M. Shafique, “PX-CGRA: Polymorphic approximate coarse-grained reconfigurable architecture,” 2018 Design, Automation & Test in Europe Conference & Exhibition (DATE), Dresden, 2018, pp. 413-418, doi: 10.23919/DATE.2018.8342045

  16. H. Afzali-Kusha, O. Akbari, M. Kamal and M. Pedram, “Energy and Reliability Improvement of Voltage-Based, Clustered, Coarse- Grain Reconfigurable Architectures by Employing Quality-Aware Mapping,” in IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 8, no. 3, pp. 480-493, Sept. 2018, doi: 10.1109/JETCAS.2018.2856838.

  17. O. Akbari, M. Kamal, A. Afzali-Kusha, M. Pedram and M. Shafique, “Toward Approximate Computing for Coarse-Grained Reconfigurable Architectures,” in IEEE Micro, vol. 38, no. 6, pp. 63-72, 1 Nov.-Dec. 2018, doi: 10.1109/MM.2018.2873951.

  18. H. Afzali-Kusha, O. Akbari, M. Kamal and M. Pedram, “Energy Consumption and Lifetime Improvement of Coarse-Grained Reconfigurable Architectures Targeting Low-Power Error-Tolerant Applications”, Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018. Available: 10.1145/3194554.3194631.

  19. O. Akbari, M. Kamal, A. Afzali-Kusha and M. Pedram, “Dual-Quality 4:2 Compressors for Utilizing in Dynamic Accuracy Configurable Multipliers,” in IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 25, no. 4, pp. 1352-1361, April 2017, doi: 10.1109/TVLSI.2016.2643003

  20. O. Akbari, M. Kamal, A. Afzali-Kusha and M. Pedram, “RAP-CLA: A Reconfigurable Approximate Carry Look-Ahead Adder,” in IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 65, no. 8, pp. 1089-1093, Aug. 2018, doi: 10.1109/TCSII.2016.2633307.

  21. O. Galashi, K. Mohammadi and R. Gosheblagh, “Hybrid redundancy approach to increase the reliability of FPGA based speed controller core for high speed train”, Journal of Electronics (China), vol. 31, no. 3, pp. 256-266, 2014. Available: 10.1007/s11767-014-4011-z.

  22. O Akbari, K Mohammadi, “Recent advances in the automated control system of high-speed trains”, 2nd International Conference on Recent Advances in Railway Engineering (ICRARE), Iran University, of Science and Technology, Tehran, Iran.

  23. O Akbari, K Mohammadi, R Omidi Gosheblagh, “A speed controller system based on FPGA for high speed train”, 2nd International Conference on Recent Advances in Railway Engineering (ICRARE), Iran University of Science and Technology, Tehran, Iran. , April 30–May 1, 2013, 1–7.