I received the B.S. degree in Industrial Electronics Engineering from the Universitat Politècnica de Catalunya, Spain, in 2007, and the M.S. degree in Micro- and Nanoelectronics Engineering in 2009 and the Ph.D. degree in Microelectronics and Electronic Systems in 2015 both from the Universitat Autònoma de Barcelona, Spain. From 2006 to 2008, I was with Investigation Total Ware, S.A., Spain, where I was engaged in analog and mixed-signal circuit design for highly reliable wireless telecommunication systems. From 2008 to 2015, I was with the Integrated Circuits and Systems design group at the Institut de Microelectrònica de Barcelona, CNM, CSIC, Spain, designing low-power high-precision mixed-signal ASICs for integrated smart sensors and IP blocks. From 2015 to 2016, I was with Broadcom Ltd., Barcelona, Spain, developing low-power CMOS IPs like low-temperature-drift oscillators, varible-temperature-coefficient current/voltage generators, temperature sensors, cross-domain level shifting and biasing circuits, touch-sensor transmitter drivers. I am co-author of 12 publications and participant in several research and industrial projects using a wide range of CMOS technology nodes. I am recipient of the 2007 Highest Grade Point Average in the Graduating Class Award, the 2014 Best Paper Award and the 2015 Student Best Paper Award Honorable Mention. My skills include: high-performance continuous-time/switched-capacitor circuits such as low-power high-resolution ADCs/DACs using Class-AB OpAmps; system high-level modeling (SciPy/Sage, Matlab); system electrical-level modeling (Verilog/-A/-AMS); EKV circuit-level modeling; full-custom IC design cycle (gEDA Tools/Cadence Virtuoso: from schematics to layout and verification); development of low-noise and low-distortion test equipment (including microcontrollers and FPGAs) and software (using C++, Tcl, VB, Python); and, experimental IC measures and parameter extraction.
PhD student working on a superconducting FPGA design aiming to work on neuromorphic computing in the future.
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
Graduate student in MIT EECS trying to combine stochastic MTJ devices to silicon
Designer creating analogue circuits for instrumentation used in medical and physical sciences.
Leader of a quantum hardware engineering team. Quantum hardware engineer, IBM quantum administrator/ developer, carpenter from the countryside in northern Arizona.