Awais M, Ghasemzadeh Mohammadi H, Platzner M. DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing. In: To Apear in IEEE ISVLSI 2024. ; 2024.

Boschmann A, Clausing L, Jentzsch F, Ghasemzadeh Mohammadi H, Platzner M. Flexible Industrial Analytics on Reconfigurable Systems-On-Chip. In: Haake C-J, Meyer auf der Heide F, Platzner M, Wachsmuth H, Wehrheim H, eds. On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets. Vol 412. Verlagsschriftenreihe des Heinz Nixdorf Instituts. Heinz Nixdorf Institut, Universität Paderborn; 2023:225-236. doi:10.5281/zenodo.8068713

Awais M, Ghasemzadeh Mohammadi H, Platzner M. LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis. In: Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021. ACM; 2021:27-32. doi:https://doi.org/10.1145/3453688.3461506

Ghasemzadeh Mohammadi H, Jentzsch F, Kuschel M, et al. FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. In: https://doi.org/10.1007/978-3-030-93736-2_27__Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer; 2021. doi:https://doi.org/10.1007/978-3-030-93736-2_27

Awais M, Ghasemzadeh Mohammadi H, Platzner M. A Hybrid Synthesis Methodology for Approximate Circuits. In: Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020. ACM; 2020:421-426. doi:10.1145/3386263.3406952

Ghasemzadeh Mohammadi H, Arshad R, Rautmare S, et al. DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). ; 2020. doi:10.1109/etfa46521.2020.9211880

Witschen LM, Wiersema T, Ghasemzadeh Mohammadi H, Awais M, Platzner M. CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Microelectronics Reliability. 2019;99:277-290. doi:10.1016/j.microrel.2019.04.003

Witschen LM, Ghasemzadeh Mohammadi H, Artmann M, Platzner M. Jump Search: A Fast Technique for the Synthesis of Approximate Circuits. Fourth Workshop on Approximate Computing (AxC 2019).

Witschen LM, Ghasemzadeh Mohammadi H, Artmann M, Platzner M. Jump Search: A Fast Technique for the Synthesis of Approximate Circuits. In: Proceedings of the 2019 on Great Lakes Symposium on VLSI  - GLSVLSI ’19. New York, NY, USA: ACM; 2019. doi:10.1145/3299874.3317998

Witschen LM, Wiersema T, Ghasemzadeh Mohammadi H, Awais M, Platzner M. CIRCA: Towards a Modular and Extensible Framework for Approximate Circuit Generation. Third Workshop on Approximate Computing (AxC 2018).

Awais M, Ghasemzadeh Mohammadi H, Platzner M. An MCTS-based Framework for Synthesis of Approximate Circuits. In: 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC). ; 2018:219-224. doi:10.1109/VLSI-SoC.2018.8645026

Ghasemzadeh Mohammadi H, Gaillardon P-E, De Micheli G. Efficient Statistical Parameter Selection for Nonlinear Modeling of Process/Performance Variation. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2016;PP(99):1-1. doi:10.1109/TCAD.2016.2547908

Ghasemzadeh Mohammadi H, Gaillardon P-E, Zhang J, Micheli GD, Sanchez E, Reorda MS. A Fault-Tolerant Ripple-Carry Adder with Controllable-Polarity Transistors. ACM Journal on Emerging Technologies in Computing Systems. 2016:1-13. doi:10.1145/2988234

Ghasemzadeh Mohammadi H, Gaillardon P-E, De Micheli G. From Defect Analysis to Gate-Level Fault Modeling of Controllable-Polarity Silicon Nanowires. IEEE Transactions on Nanotechnology. 2015;14(6):1117-1126. doi:10.1109/TNANO.2015.2482359

Ghasemzadeh Mohammadi H, Gaillardon P-E, Zhang J, De Micheli G, Sanchez E, Reorda MS. On the design of a fault tolerant ripple-carry adder with controllable-polarity transistors. In: 2015 IEEE Computer Society Annual Symposium on VLSI. IEEE; 2015:491-496. doi:10.1109/ISVLSI.2015.13

Ghasemzadeh Mohammadi H, Gaillardon P-E, De Micheli G. Fault modeling in controllable polarity silicon nanowire circuits. In: Proceedings of the 2015 Design, Automation &; Test in Europe Conference \'26; Exhibition. EDA Consortium; 2015:453-458. doi:10.7873/DATE.2015.0428

Ghasemzadeh Mohammadi H, Gaillardon P-E, Yazdani M, De Micheli G. Fast process variation analysis in nano-scaled technologies using column-wise sparse parameter selection. In: 2014 IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH). IEEE; 2014:163-168. doi:10.1109/NANOARCH.2014.6880479

Ghasemzadeh Mohammadi H, Gaillardon P-E, Yazdani M, De Micheli G. A fast TCAD-based methodology for Variation analysis of emerging nano-devices. In: 2013 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS). IEEE; 2013:83-88. doi:10.1109/DFT.2013.6653587

Gaillardon P-E, Ghasemzadeh Mohammadi H, De Micheli G. Vertically-stacked silicon nanowire transistors with controllable polarity: A robustness study. In: 2013 14th Latin American Test Workshop-LATW. IEEE; 2013:1-6. doi:10.1109/LATW.2013.6562673

Khatir M, Ghasemzadeh Mohammadi H, Ejlali A. Sub-threshold charge recovery circuits. In: Computer Design (ICCD), 2010 IEEE International Conference On. IEEE; 2010:138-144. doi:10.1109/ICCD.2010.5647815