Muhammad Ali, M. Sc.

Research Assistant

Mr Muhammad Ali , M.Sc.

Short CV:

Muhammad Ali is a Ph.D. student and assistant researcher in Computer Science in the Adaptive Dynamic Systems (ADS) research group at Technische Universität Dresden, Germany, since July 2018. Before joining the research group, he studied Electrical Engineering at National University of Sciences and Technology, Islamabad, Pakistan, where he received his Bachelor’s degree in 2013. He completed his Master's degree in Embedded Systems from Technical University of Chemnitz in December 2017.

Research Interests:

His current research interests include RISC-V and ASIP for machine learning.

Publications:

17 Entries

2026

Integrating an open-source soft-GPU overlay with RISC-V control and high-bandwidth memoryMuñoz Hernandez, H. G., Taheri, M., Ali, M., Shahin, K., Syavashi, A., Göhringer, D., Reichenbach, M. & 2 others, Jun 2026, In: Journal of Systems Architecture. 175, 103736Electronic (full-text) versionResearch output: Contribution to journal > Research article
Application-Specific Instruction-Set Processors (ASIPs) for Deep Neural Networks: A SurveyAli, M. & Göhringer, D., Feb 2026, In: IEEE access. 14, p. 34545-34563, 19 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article

2025

Towards Complete Open-Source Environments: FPGA-Based GPU Overlay Controlled by RISC-VMuñoz-Hernandez, H. G., Ali, M., Shahin, K., Siyavashi, A., Göhringer, D., Reichenbach, M., Herglotz, C. & 1 others, Oct 2025, Architecture of Computing Systems - 38th International Conference, ARCS 2025, Proceedings. Tomforde, S., Krupitzer, C., Vialle, S., Suarez, E. & Pionteck, T. (eds.). Springer Science and Business Media B.V., p. 94-108, 15 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
P-CORE: Exploring RISC-V Packed-SIMD Extension for CNNsAli, M., Aliagha, E., Elnashar, M. & Gohringer, D., Aug 2025, In: IEEE access. 13, p. 146603-146616, 14 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
RV-VP²: Unlocking the Potential of RISC-V Packed-SIMD for Embedded ProcessingAli, M., Aliagha, E., Elnashar, M. & Göhringer, D., Jan 2025, Embedded Computer Systems: Architectures, Modeling, and Simulation - 24th International Conference, SAMOS 2024, Proceedings. Carro, L., Regazzoni, F. & Pilato, C. (eds.). Springer Science and Business Media B.V., p. 59-71, 13 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2024

RV-ProViler: Evaluating RISC-V ISA for Application-Specific RequirementsAli, M., Aliagha, E., Elnashar, M. & Göhringer, D., Nov 2024, 2024 IEEE Nordic Circuits and Systems Conference, NORCAS 2024 - Proceedings. Nurmi, J., Rodrigues, J., Pezzarossa, L., Aberg, V. & Behmanesh, B. (eds.). Institute of Electrical and Electronics Engineers (IEEE)Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2023

Unlocking the Potential of RISC-V Heterogeneous MPSoC: A PANACA-based Approach to Simulation and ModelingHaase, J., Ali, M. & Göhringer, D., Jul 2023, Embedded Computer Systems: Architectures, Modeling, and Simulation: 23rd International Conference, SAMOS 2023, Samos, Greece, July 2–6, 2023, Proceedings. Silvano, C., Reichenbach, M. & Pilato, C. (eds.). Springer, Cham, p. 269–282, 14 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2022

Application Specific Instruction-Set Processors for Machine Learning ApplicationsAli, M. & Gohringer, D., 2022, FPT 2022 - 21st International Conference on Field-Programmable Technology, Proceedings. Institute of Electrical and Electronics Engineers (IEEE), 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution

2021

A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAsKalms, L., Amini Rad, P., Ali, M., Iskander, A. & Göhringer, D., May 2021, In: Journal of Signal Processing Systems. 93, 5, p. 513-529, 17 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
AITIA: Embedded AI Techniques for Embedded Industrial ApplicationsBrandalero, M., Veleski, M., Hernandez, H. G. M., Ali, M., Le Jeune, L., Goedemé, T., Mentens, N. & 6 others, 2021, 2021 31st International Conference on Field-Programmable Logic and Applications (FPL). Institute of Electrical and Electronics Engineers (IEEE), p. 374-375, 2 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution