Trained as a Software Engineer, i am an advocate for Libre Ethical Technology in business.
I've been worked as an Electrical Engineer for more than 20 years. I'd like to bring Artificial Intelligence to the EE design so that it can be "Self-driving".
I am Electronic Engineer from Chile, I like DSP and radioastronomy applications an ordinary guy
I am an electronic hobbyist who enjoys building different electronic circuits and systems.
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.
An experimental physicist through sensor and instrumentation development.
Expert in embedded and mobile applications since 2003. Has many years of experience in software and hardware development, effective team management. Excellent in the research and development, technology findings and implementations.
Interested in Design, Verification, and Hand-off of Analog IPs. Worked on the definition, modeling, design, verification of DC-DC converters, Chargers, Ideal-Diodes, LDOs, Regulators, Bandgap references, Current limiting and sensing architectures. Excited for challenges in Analog Design, Layout and Post-silicon verification.
Design engineer with combined R&D and industrial experience in developing analog/mixed signal ICs for applications including inductive position sensors and imager readouts. Proven abilities with widely used blocks including (but not limited to) filter, amplifier, ADC, DAC, voltage regulators, bandgap reference, ring/LC oscillator, comparator and custom digital logic circuitry. Experience with full tape-out flow including schematic design, analog/mixed-signal simulations, floor planning, layout, system-level verification and chip measurements. Strong familiarity with industry standard tools and instruments used for design, verification and testing such as Cadence, Synopsys, Mentor Graphics, and Keysight. Frontend digital hardware design (ASIC/FPGA) experience using Verilog HDL. Considerable exposure to ASIC backend flow (synthesis and PnR) using Synopsys Design Compiler and Cadence Innovus. Skilled with programming platforms such as MATLAB, C++, C#, Perl, UNIX Shell and VB. Strong education with Ph.D. and MSc. degrees in Electronics Engineering along with several peer-reviewed articles in IEEE journals.
High Performance, High Frequency Analog, Microwave, RF and Optical Chip and Package Test Software and Hardware, Multi-Chip System Integration and Reliability
RF/Analog IC design and SOC
Provides mixed-signal CMOS training to academia using open-source tools and also solution for the consumer and automotive industry.
Over 25+ years of experience Silicon Engineer with focus on taking a Silicon from GDS2 to PRQ. Involved in Wafersort testing, Packaging, Packaging Testing, Silicon Characterisation - Electrical & Functional, Package Qualification, Reliablity testing and Yield management
Dad. Partner. Scientist. Activist. Maker. — He/His
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