Shaza Adnan

Shaza Adnan Ismail is pursuing a Bachelor’s degree in Electronics and Electrical Communication Engineering at Cairo University, where she has consistently excelled, graduating ranked 18th in her class with an Excellent with Honors cumulative grade. Her academic journey has been distinguished by a rigorous blend of theoretical mastery and hands-on experience, reflected in her numerous projects, internships, and diplomas across digital IC design, verification, and embedded systems.  Her graduation project, conducted under Siemens DSWI sponsorship, focused on the implementation and verification of the UCIe protocol. She contributed extensively to the RTL design of data and control path and played a key role in full system integration and deployment on Xilinx Kintex UltraScale+ FPGA.  During her undergraduate studies, she developed a strong interest in digital electronics, which led her to pursue a wide range of specialized courses and diplomas in areas such as digital IC design, verification using SystemVerilog and UVM, embedded systems, and ASIC implementation techniques. To complement this academic training with practical experience, she interned at Si-Vision, where she gained hands-on exposure to digital design and verification, and at the Information Technology Institute (ITI), contributing to advanced projects including processor and cache system design. Alongside this, her curriculum introduced her to the field of artificial intelligence through a neural networks course, where she studied fundamental and advanced architectures such as KNN, attention mechanisms, and transformers, sparking her interest in intelligent systems. To merge both domains of expertise—digital design and AI—she is currently pursuing research under the supervision of the Electronics Research Institute (ERI) on the implementation of Dynamic Weighted K-Nearest Neighbors (DWKNN) on FPGA platforms with hardware–software co-simulation, showcasing her ambition to bridge machine learning algorithms with hardware acceleration.