Head of Chair
Prof. Dr. Akash Kumar
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E-mail: akash.kumar@tu-dresden.de Office: Helmholtzstrasse 18, BAR-III73-74 Webpage: Linkedin Profile |
Administrative Staff
Conny Okuma
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Secretary Phone: +49 (0)351 463-39925 |
Consultation Hours: Mon 10:00 - 14:00 |
Scientific Staff
Steffen Märcker
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Postdoc E-Mail: steffen.maercker@tu-dresden.de |
Salim Ullah
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Postdoc E-Mail:salim.ullah(at)tu-dresden.de |
Michael Raitza
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Postdoc E-Mail: michael.raitza (-) tu-dresden.de |
Behnaz Ranjbar
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Postdoc E-Mail: behnaz.ranjbar@tu-dresden.de |
Zahra Ebrahimi
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Research Associate E-Mail: zahra.ebrahimi_mamaghani@tu-dresden.de Webpage: Linkedin Profile |
Yuhao Liu
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Research Associate E-Mail: yuhao.liu1@tu-dresden.de |
Armin Darjani
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Research Associate E-Mail: armin.darjani@tu-dresden.de |
Nima Kavand
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Research Associate E-Mail: nima.kavand@tu-dresden.de |
Siddharth Gupta
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Research Associate E-Mail: siddharth.gupta@tu-dresden.de |
External Ph.D. Researchers
Mehdi Moghaddamfar
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Mehdi is a co-supervised Ph.D. student with Database group at TU Dresden, since 2019. He works on the topic of Database System Acceleration on FPGAs, which is in collaboration with SAP SE and Intel.
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Cecilia de la Parra
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Cecilia de la Parra is a co-supervised Ph.D. student at Robert Bosch GMBH, since 2018. She is working on the topic of Digital Hardware for Approximate Computing of Deep Neural Networks.
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Elias Trommer
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Elias Trommer is a co-supervised Ph.D. student at Infineon, since 2020. He is working on the topic of Co-Design of Algorithms and Hardware for Low-Power Machine Learning Inference.
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Max Sponner
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Max Sponner is a co-supervised Ph.D. student at Infineon, since 2020. He is working on the topic of Design of Partially Reconfigurable Embedded Deep Learning Inference Accelerators.
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Paul Jungmann
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Paul Jungmann is a Ph.D. student at GlobalFoundries, since 2020. He is working on the topic of Machine Learning for Fault Modelling in Chip Manufacturing. |
Guest PhD Researchers
Maryam Eslami
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Maryam is a PhD student at Tehran University (Iran). She joined our chair in September 2022 to work on the topic of "Accuracy and Resilience Analysis of Deep Neural Networks for Performance and Fault Tolerance".
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Guest MSc Researchers
Haroun Errachid Abbassi
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Haroun is a MSc student at National Institute of Applied Science and Technology (Tunisia). He joined our chair in February 2023 for his Master thesis, on the topic of "Designing and developing AI model for obstacle detection, optimizing the model and implementing it on FPGA and integrating it within a Pet Robot".
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