Qiankun Liu is a PhD student at the Wolfson School, Loughborough University, UK, where he studies machine learning, hardware design, and FPGA-based accelerators. His expertise includes SystemVerilog, VHDL, and computer architecture, focusing on low-power computing architectures for edge devices. He earned his MSc in Advanced Microelectronic Systems Engineering from the University of Bristol in 2022 and his bachelor’s degree in Instrumentation Science and Electrical Engineering from Jilin University in 2020. His research explores machine learning and hardware acceleration, particularly RISC-V-based deep learning accelerators and FPGA implementations. Qiankun Liu actively contributes to peer-reviewed journals and conferences, focusing on efficient AI-driven hardware design. He aims to develop scalable, low-power architectures for edge computing and embedded AI systems.

Sam Amiri is a microelectronics and embedded electronics lecturer at the School of Mechanical, Electrical, and Manufacturing Engineering, Loughborough University, UK. He received his B.Sc. in Software Engineering from Iran in 2007, his M.Sc. in Embedded Systems from Masaryk University, Czech Republic, in 2010, and his Ph.D. in Electrical and Electronic Engineering from the same institution in 2014. Dr. Amiri conducted postdoctoral research at Queen’s University Belfast until 2017 and at the University of Bristol until 2018. He then served as a lecturer in analog and digital electronics at Coventry University until 2022 before joining Loughborough University. His primary research interests include hardware design, embedded systems, and edge computing.