Arda Özgün is an M.Sc. student in Electronics Engineering at Sabancı University. His research focuses on energy-efficient integrated circuits and processing-near-memory architectures for edge AI applications. He is currently designing an SRAM-based processing-near-memory macro that integrates a full-custom 128 × 128 6T SRAM array, peripheral circuits, and a pipelined serial-parallel multiply–accumulate unit in TSMC 65 nm technology. His work covers full-custom SRAM design, RTL development, synthesis and physical implementation, mixed-signal verification, and the development of an SPI-based FPGA interface for chip testing. He received his B.Sc. in Electrical and Electronics Engineering from Bilkent University and has additional experience in digital IC design, analog and mixed-signal circuits, embedded systems, and machine learning.