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21 Publications
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2023 | Book Chapter | LibreCat-ID: 45899 | 
Boschmann, Alexander, Lennart Clausing, Felix Jentzsch, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “Flexible Industrial Analytics on Reconfigurable Systems-On-Chip.” In On-The-Fly Computing -- Individualized IT-Services in Dynamic Markets, edited by Claus-Jochen Haake, Friedhelm Meyer auf der Heide, Marco Platzner, Henning Wachsmuth, and Heike Wehrheim, 412:225–36. Verlagsschriftenreihe Des Heinz Nixdorf Instituts. Paderborn: Heinz Nixdorf Institut, Universität Paderborn, 2023. https://doi.org/10.5281/zenodo.8068713.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 21610
Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “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, 27–32. ACM, 2021. https://doi.org/10.1145/3453688.3461506.
LibreCat
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2021 | Conference Paper | LibreCat-ID: 30908
Ghasemzadeh Mohammadi, Hassan, Felix Jentzsch, Maurice Kuschel, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha, Marco Platzner, Alexander Boschmann, and Dirk Schollbach. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.” In Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Springer, 2021. https://doi.org/10.1007/978-3-030-93736-2_27.
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2020 | Conference Paper | LibreCat-ID: 16213
Awais, Muhammad, Hassan Ghasemzadeh Mohammadi, and Marco Platzner. “A Hybrid Synthesis Methodology for Approximate Circuits.” In Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, 421–26. ACM, 2020. https://doi.org/10.1145/3386263.3406952.
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2020 | Conference Paper | LibreCat-ID: 20808
Ghasemzadeh Mohammadi, Hassan, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha, Maurice Kuschel, Felix Paul Jentzsch, Marco Platzner, Alexander Boschmann, and Dirk Schollbach. “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. https://doi.org/10.1109/etfa46521.2020.9211880.
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