Muhammad Ali, M. Sc.
Research Assistant
NameMr Muhammad Ali , M.Sc.
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Visiting address:
Andreas-Pfitzmann-Bau (APB), 1040 Nöthnitzer Str. 46
01062 Dresden
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:
2023
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Unlocking the Potential of RISC-V Heterogeneous MPSoC: A PANACA-based Approach to Simulation and Modeling , Jul 2023, Embedded Computer Systems: Architectures, Modeling, and Simulation: 23rd International Conference, SAMOS 2023, Samos, Greece, July 2–6, 2023, Proceedings. Silvano, C., Pilato, C. & Reichenbach, M. (eds.). Springer, Cham, p. 269–282Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2022
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Application Specific Instruction-Set Processors for Machine Learning Applications , 2022, FPT 2022 - 21st International Conference on Field-Programmable Technology, Proceedings. Institute of Electrical and Electronics Engineers Inc., 4 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2021
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Aitia: Embedded AI techniques for industrial applications , 2021, Proceedings - 2021 31st International Conference on Field-Programmable Logic and Applications, FPL 2021. Institute of Electrical and Electronics Engineers Inc., p. 374-375, 2 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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AITIA: Embedded AI Techniques for Embedded Industrial Applications , 2021, 2021 31st International Conference on Field-Programmable Logic and Applications (FPL). IEEE Xplore, p. 374-375, 2 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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A Parametrizable High-Level Synthesis Library for Accelerating Neural Networks on FPGAs , 2021, In: Journal of Signal Processing Systems. 93, 5, p. 513-529, 27 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Power-Aware Computing Systems on FPGAs: A Survey , 2021, p. 45-51, 7 p.Electronic (full-text) versionResearch output: Contribution to conferences > Paper
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Vector Processing Unit (VPU): A RISC-V based SIMD Co-processor for Embedded Processing , 2021, p. 30-34Electronic (full-text) versionResearch output: Contribution to conferences > Paper
2020
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AITIA: Embedded AI Techniques for Embedded Industrial Applications , 2020, p. 1-7, 7 p.Electronic (full-text) versionResearch output: Contribution to conferences > Paper
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Domain Adaptive Processor Architectures , 2020, Kommunikation und Bildverarbeitung in der Automation. Neuerscheinung ed., Berlin, Heidelberg, Vol. 12. p. 315-330, 16 p.Research output: Contribution to book/conference proceedings/anthology/report > Chapter in book/anthology/report
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RISC-V based MPSoC design exploration for FPGAs: area, power and performance , 2020, p. 193-207, 15 p.Research output: Contribution to conferences > Paper