Muhammad Sabih

24 papers A 2B 1Misc 1Journal 14Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Transitional Separated Flow Over Low-Aspect-Ratio NACA0012 Wings.
IEEE Access
Berkan Anilir, Taiba Kouser, Dilek Funda Kurtulus, Srikanth Goli, Muhammad Sabih, Imil Hamda Imran, Azhar M. Memon, Luai M. Alhems
2025 J jnl
Beyond BNNs: Design and Acceleration of Sub-Bit Neural Networks Using RISC-V Custom Functional Units.
IEEE Embed. Syst. Lett.
Muhammad Sabih, Mohamed Abdo, Frank Hannig, Jürgen Teich
2025 A conf
Design of Machine Learning Accelerators as RISC-V Extensions using an Open Source Tool Flow.
ICCAD
Batuhan Sesli, Muhammad Sabih, Frank Hannig, Jürgen Teich
2025 J jnl
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs.
CoRR
Muhammad Sabih, Abrarul Karim, Jakob Wittmann, Frank Hannig, Jürgen Teich
2025 Misc conf
Special Session - Hardware-Software Co-Design for Machine Learning Systems Made Open-Source.
CODES+ISSS
Mehdi B. Tahoori, Vincent Meyers, Mahboobe Sadeghipour Roodsari, Huashuangyang Xu, Jürgen Becker, Tanja Harbaum, Felix Frombach, Julian Höfer, Georgios Sotiropoulos, Jörg Henkel, Zeynep Demirdag, Heba Khdr, Hassan Nassar, Ulf Schlichtmann, Johannes Geier, Philipp van Kempen, Georg Sigl, Stefan Koegler, Matthias Probst, Jürgen Teich, Frank Hannig, Muhammad Sabih, Batuhan Sesli, Norbert Wehn, Lukas Steiner, Wolfgang Kunz, Mohamed Shelkamy Ali
2024 A conf
Accelerating DNNs Using Weight Clustering on RISC-V Custom Functional Units.
DATE
Muhammad Sabih, Batuhan Sesli, Frank Hannig, Jürgen Teich
2024 J jnl
Hardware-Aware Evolutionary Explainable Filter Pruning for Convolutional Neural Networks.
Int. J. Parallel Program.
Christian Heidorn, Muhammad Sabih, Nicolai Meyerhöfer, Christian Schinabeck, Jürgen Teich, Frank Hannig
2024 — conf
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs.
ICFPT
Muhammad Sabih, Abrarul Karim, Jakob Wittmann, Frank Hannig, Jürgen Teich
2023 — conf
Robust and Tiny Binary Neural Networks using Gradient-based Explainability Methods.
EuroMLSys@EuroSys
Muhammad Sabih, Mikail Yayla, Frank Hannig, Jürgen Teich, Jian-Jia Chen
2022 J jnl
Deception detection on social media: A source-based perspective.
Knowl. Based Syst.
Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih, Hocine Cherifi
2022 — conf
DyFiP: explainable AI-based dynamic filter pruning of convolutional neural networks.
EuroMLSys@EuroSys
Muhammad Sabih, Frank Hannig, Jürgen Teich
2022 J jnl
Image processing based fault classification in power systems with classical and intelligent techniques.
J. Intell. Fuzzy Syst.
Muhammad Sabih, Muhammad Umer, Umar Farooq, Jason Gu, Marius M. Balas, Muhammad Usman Asad, Khurram Karim Qureshi, Irfan A. Khan, Ghulam Abbas
2022 — conf
MOSP: Multi-Objective Sensitivity Pruning of Deep Neural Networks.
IGSC
Muhammad Sabih, Ashutosh Mishra, Frank Hannig, Jürgen Teich
2021 J jnl
A systematic metadata harvesting workflow for analysing scientific networks.
PeerJ Comput. Sci.
Bilal Hayat Butt, Muhammad Rafi, Muhammad Sabih
2021 J jnl
Complex Network and Source Inspired COVID-19 Fake News Classification on Twitter.
IEEE Access
Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih, Hocine Cherifi
2021 — conf
Fault-Tolerant Low-Precision DNNs using Explainable AI.
DSN Workshops
Muhammad Sabih, Frank Hannig, Jürgen Teich
2021 J jnl
Social Media and Microblogs Credibility: Identification, Theory Driven Framework, and Recommendation.
IEEE Access
Khubaib Ahmed Qureshi, Rauf Ahmed Shams Malick, Muhammad Sabih
2021 J jnl
Un-Compromised Credibility: Social Media Based Multi-Class Hate Speech Classification for Text.
IEEE Access
Khubaib Ahmed Qureshi, Muhammad Sabih
2020 B conf
Clustering-Based Scenario-Aware LTE Grant Prediction.
WCNC
Peter Brand, Muhammad Sabih, Joachim Falk, Jonathan Ah Sue, Jürgen Teich
2020 J jnl
Utilizing Explainable AI for Quantization and Pruning of Deep Neural Networks.
CoRR
Muhammad Sabih, Frank Hannig, Jürgen Teich
2015 J jnl
A Novel Energy-Aware Approach for Locating Leaks in Water Pipeline Using a Wireless Sensor Network and Noisy Pressure Sensor Data.
Int. J. Distributed Sens. Networks
Muhammad Faizan Mysorewala, Muhammad Sabih, Lahouari Cheded, Mohammad Tariq Nasir, Muhammad Ismail
2014 J jnl
Experimental Investigations for Distributed Networked Control Systems.
IEEE Syst. J.
Magdi Sadek Mahmoud, Muhammad Sabih
2014 — conf
Measurement error sensitivity analysis for detecting and locating leak in pipeline using ANN and SVM.
SSD
Mohammad Tariq Nasir, Muhammad Faizan Mysorewala, Lahouari Cheded, Bilal Siddiqui, Muhammad Sabih
2014 J jnl
Networked event-triggered control: an introduction and research trends.
Int. J. Gen. Syst.
Magdi Sadek Mahmoud, Muhammad Sabih