Dr. Hassan Ghasemzadeh Mohammadi

Technische Informatik

Ehemaliger

E-Mail:
hgm@mail.uni-paderborn.de
Telefon:
+49 5251 60-4344
Web:
Homepage
Homepage (Extern)
Büro­anschrift:
Pohlweg 51
33098 Paderborn
Raum:
O3.134

Publikationen

Aktuelle Publikationen

DeepApprox: Rapid Deep Learning based Design Space Exploration of Approximate Circuits via Check-pointing

M. Awais, H. Ghasemzadeh Mohammadi, M. Platzner, in: To Apear in IEEE ISVLSI 2024, 2024.


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.

DOI PDF

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.

DOI

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.

DOI

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.

DOI

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