Safdar Mahmood

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 9

Top Topics

Machine Learning

Tandem Mass Spectrometry

Inverse Kinematics

Top Venues

Publications

Safdar Mahmood, Michael Hübner, Marc Reichenbach
A Design-Space Exploration Framework for Application-Specific Machine Learning Targeting Reconfigurable Computing. ARC (2023)
Safdar Mahmood, Stefan Scharoba, Jonas Schorlemer, Christian Schulz, Michael Hübner, Marc Reichenbach
Detecting Improvised Land-mines using Deep Neural Networks on GPR Image Dataset targeting FPGAs. NorCAS (2022)
Kwame Owusu Ampadu, Florian Rokohl, Safdar Mahmood, Marc Reichenbach, Michael Hübner
InjectMeAI - Software Module of an Autonomous Injection Humanoid. Sensors 22 (14) (2022)
Florian Fricke, Safdar Mahmood, Javier Hoffmann, Marcelo Brandalero, Sascha Liehr, Simon Kern, Klas Meyer, Stefan Kowarik, Stephan Westerdick, Michael Maiwald, Michael Hübner
Artificial Intelligence for Mass Spectrometry and Nuclear Magnetic Resonance Spectroscopy. DATE (2021)
Javier Hoffmann, Safdar Mahmood, Priscile Suawa Fogou, Nevin George, Solaiman Raha, Sabur Safi, Kurt J. G. Schmailzl, Marcelo Brandalero, Michael Hübner
A Survey on Machine Learning Approaches to ECG Processing. SPA (2020)
Hector Gerardo Muñoz Hernandez, Safdar Mahmood, Marcelo Brandalero, Michael Hübner
A Modular Software Library for Effective High Level Synthesis of Convolutional Neural Networks. ARC (2020)
Jens Rettkowski, Safdar Mahmood, Arij Shallufa, Michael Hübner, Diana Göhringer
Inspection of Partial Bitstreams for FPGAs Using Artificial Neural Networks. IPDPS Workshops (2019)
Safdar Mahmood, Jens Rettkowski, Arij Shallufa, Michael Hübner, Diana Göhringer
IP Core Identification in FPGA Configuration Files using Machine Learning Techniques. ICCE-Berlin (2019)
Safdar Mahmood, Pavel Shydlouski, Michael Hübner
An Application Specific Framework for HLS-based FPGA Design of Articulated Robot Inverse Kinematics. ReConFig (2018)