Zahra Ebrahimi Mamaghani is an academic researcher affiliated with the Embedded Systems team at the Faculty of Electrical Engineering and Information Technology, Ruhr University Bochum. Her work focuses on approximate computing, reconfigurable accelerators, and energy-efficient embedded systems. She completed her B.Sc. and M.Sc. at Sharif University of Technology (Iran) and is a PhD student at TU Dresden. She managed the X-DNet (BMBF-funded, collaborating with Huawei) and GREEN-DNN (acatech/BMDV-funded) projects, emphasizing distributed and in-network computing for 5G/6G applications. Education: B.Sc. and M.Sc. in Electrical Engineering, Sharif University of Technology, Iran PhD Candidate at TU Dresden (Cfaed Institute, 2018–2024) Research Projects: ReAp (DFG, 2018–2021) Relearning (ESF, 2021–2023) X-ReAp (DFG, 2023–2025) X-DNet (BMBF, with Huawei) GREEN-DNN (acatech/BMDV) Research Interests: Approximate computing, energy-efficient edge-to-cloud systems, SW/HW co-design, and reconfigurable architectures for 5G/6G. Her recent publications emphasize cross-layer approximation techniques, energy-efficient CGRAs, and distributed computing frameworks for multi-kernel applications. She advises students on topics like approximation of ML models for high-throughput systems, requiring expertise in FPGA programming (Verilog/VHDL), Python, and ML frameworks like TensorFlow/PyTorch. Her lab focuses on embedded systems and collaborates with industry partners like Huawei. She holds a notable position in managing interdisciplinary projects bridging academia and industry, particularly in sustainable computing for next-generation networks.








