Awais, M., Ghasemzadeh Mohammadi, H., &; Platzner, M. (2024). DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing. To Apear in IEEE ISVLSI 2024. IEEE Computer Society Annual Symposium on VLSI, Knoxville, Tennessee, USA.

Boschmann, A., Clausing, L., Jentzsch, F., Ghasemzadeh Mohammadi, H., &; Platzner, M. (2023). Flexible Industrial Analytics on Reconfigurable Systems-On-Chip. In C.-J. Haake, F. Meyer auf der Heide, M. Platzner, H. Wachsmuth, &; H. Wehrheim (Eds.), On-The-Fly Computing -- Individualized IT-services in dynamic markets (Vol. 412, pp. 225–236). Heinz Nixdorf Institut, Universität Paderborn.https://doi.org/10.5281/zenodo.8068713 

Awais, M., Ghasemzadeh Mohammadi, H., &; Platzner, M. (2021). 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 (pp. 27–32). Virtual: ACM.https://doi.org/10.1145/3453688.3461506 

Ghasemzadeh Mohammadi, H., Jentzsch, F., Kuschel, M., Arshad, R., Rautmare, S., Manjunatha, S., Platzner, M., Boschmann, A., &; Schollbach, D. (2021). FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. https://doi.org/10.1007/978-3-030-93736-2_27__Machine Learning and Principles and Practice of Knowledge Discovery in Databases.https://doi.org/10.1007/978-3-030-93736-2_27 

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

Ghasemzadeh Mohammadi, H., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel, M., Jentzsch, F. P., Platzner, M., Boschmann, A., &; Schollbach, D. (2020). DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).https://doi.org/10.1109/etfa46521.2020.9211880 

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

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

Witschen, L. M., Ghasemzadeh Mohammadi, H., Artmann, M., &; Platzner, M. (2019). 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.https://doi.org/10.1145/3299874.3317998 

Witschen, L. M., Wiersema, T., Ghasemzadeh Mohammadi, H., Awais, M., &; Platzner, M. (n.d.). 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. (2018). An MCTS-based Framework for Synthesis of Approximate Circuits. In 26th IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) (pp. 219–224).https://doi.org/10.1109/VLSI-SoC.2018.8645026 

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

Ghasemzadeh Mohammadi, H., Gaillardon, P.-E., Zhang, J., Micheli, G. D., Sanchez, E., &; Reorda, M. S. (2016). A Fault-Tolerant Ripple-Carry Adder with Controllable-Polarity Transistors. ACM Journal on Emerging Technologies in Computing Systems, 1–13.https://doi.org/10.1145/2988234 

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

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

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

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

Ghasemzadeh Mohammadi, H., Gaillardon, P.-E., Yazdani, M., &; De Micheli, G. (2013). 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) (pp. 83–88). IEEE.https://doi.org/10.1109/DFT.2013.6653587 

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

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