Dr. Hassan Ghasemzadeh Mohammadi

Technische Informatik

Ehemaliger

Büro­anschrift:
Pohlweg 51
33098 Paderborn
Raum:
O3.134

Publikationen

Aktuelle Publikationen

Flexible Industrial Analytics on Reconfigurable Systems-On-Chip
A. Boschmann, L. Clausing, F. Jentzsch, H. Ghasemzadeh Mohammadi, M. Platzner, 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, Heinz Nixdorf Institut, Universität Paderborn, Paderborn, 2023, pp. 225–236.
LDAX: A Learning-based Fast Design Space Exploration Framework for Approximate Circuit Synthesis
M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI) 2021, ACM, 2021, pp. 27–32.
FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
H. Ghasemzadeh Mohammadi, F. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Springer, 2021.
A Hybrid Synthesis Methodology for Approximate Circuits
M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: Proceedings of the 30th ACM Great Lakes Symposium on VLSI (GLSVLSI) 2020, ACM, 2020, pp. 421–426.
DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms
H. Ghasemzadeh Mohammadi, R. Arshad, S. Rautmare, S. Manjunatha, M. Kuschel, F.P. Jentzsch, M. Platzner, A. Boschmann, D. Schollbach, in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2020.
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