Electronics Engineer with 10 years experience in microelectronics and research. Familiar with CMOS integrated circuits design, wireless communication systems, programming and lab environment, I am comfortable working for worldwide semiconductors firms. Passionate for high-tech and music, advocate for teamwork and collective intelligence to support a strong problem-solving methodology, I am curious, self-motivated, addicted to learning and re-shaping the new technologies I am exposed to. During my workday I aspire to address "real-life problems", hopefully continuing to develop my multi-disciplinary skills as a means for technical and personal enrichment.
LAB ON CHIP FOR NEURONs STUDY
PhD student working on a superconducting FPGA design aiming to work on neuromorphic computing in the future.
Graduate Student and Research Assistant at the MM-Wave, THZ and Photonics Lab (MTP), Arizona State University
Post-doctoral research fellow in the discipline of Software and Systems, School of Computer Science and Statistics, Trinity College Dublin, with a keen interest in learning new things, specially related to computer science and engineering. Around 4 years experience of teaching and research and more than 10 years of experience in architecture design, optimization, analysis, implementation and verification of digital and digital signal processing systems on FPGAs and ASICs. Diversifying research career by working on quantization of deep convolution neural networks. Author of three peer reviewed journal publications and five international conference publications.
Osaze Shears is passionate about many engineering and computational concepts. These include embedded systems, application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), and microprocessor technologies. Osaze spends his free time tutoring other students who are interested in learning to become better computer scientists and engineers to benefit the greater society. Osaze is currently a PhD student at Virginia Tech conducting research under the Multifunctional Integrated Circuits and Systems (MICS) lab. His research interests include: • Spiking Neural Networks • Hardware Acceleration • SoC Design with ASICs and FPGAs • Deep Learning • Edge Computing
