Safdar Mahmood

According to our database, Safdar Mahmood authored at least 9 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Design-Space Exploration Framework for Application-Specific Machine Learning Targeting Reconfigurable Computing.

Safdar Mahmood, Michael Hübner, Marc Reichenbach

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2023

2022

InjectMeAI - Software Module of an Autonomous Injection Humanoid.

Kwame Owusu Ampadu, Florian Rokohl, Safdar Mahmood, Marc Reichenbach, Michael Hübner

Sensors, 2022

Detecting Improvised Land-mines using Deep Neural Networks on GPR Image Dataset targeting FPGAs.

Safdar Mahmood, Stefan Scharoba, Jonas Schorlemer, Christian Schulz, Michael Hübner, Marc Reichenbach

Proceedings of the IEEE Nordic Circuits and Systems Conference, NorCAS 2022, Oslo, 2022

2021

Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy.

Florian Fricke, Safdar Mahmood, Javier Hoffmann, Marcelo Brandalero, Sascha Liehr, Simon Kern, Klas Meyer, Stefan Kowarik, Stephan Westerdick, Michael Maiwald, Michael Hübner

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

A Survey on Machine Learning Approaches to ECG Processing.

Javier Hoffmann, Safdar Mahmood, Priscile Suawa Fogou, Nevin George, Solaiman Raha, Sabur Safi, Kurt J. G. Schmailzl, Marcelo Brandalero, Michael Hübner

Proceedings of the Signal Processing: Algorithms, 2020

A Modular Software Library for Effective High Level Synthesis of Convolutional Neural Networks.

Hector Gerardo Muñoz Hernandez, Safdar Mahmood, Marcelo Brandalero, Michael Hübner

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2020

2019

Inspection of Partial Bitstreams for FPGAs Using Artificial Neural Networks.

Jens Rettkowski, Safdar Mahmood, Arij Shallufa, Michael Hübner, Diana Göhringer

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2019

IP Core Identification in FPGA Configuration Files using Machine Learning Techniques.

Safdar Mahmood, Jens Rettkowski, Arij Shallufa, Michael Hübner, Diana Göhringer

Proceedings of the 9th IEEE International Conference on Consumer Electronics, 2019

2018

An Application Specific Framework for HLS-based FPGA Design of Articulated Robot Inverse Kinematics.

Safdar Mahmood, Pavel Shydlouski, Michael Hübner

Proceedings of the 2018 International Conference on ReConFigurable Computing and FPGAs, 2018