I am a software developer, trying to learn about hardware design
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".
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.
I'm an engineer with experience in analog IC design both in private companies as well as academia. Experienced in design of delay locked loop(DLL), clock recovery, field detectors, voltage limiters, operational amplifiers, current mirrors, bandgap reference and so on.
I am enthuastic engineer who has been doing software engineering (Linux kernel), electronics, and now chip designs. My day job is leading teams (senior director) focusing on virtualization and security.
ASIC architect and designer. Specialize in deep learning, video, image and signal processing, and compression. Professor of Electrical and Computer Engineering at The College of New Jersey.
Assistant Professor (IISc) | Ph.D. & S.M. (MIT) | B.Tech. (IIT-KGP)
I am a PhD student at Universiti Kebagsaan Malaysia. My research interests include application-specific hardware design, mainly to accelerate machine learning applications.
Principal engineer leading PNT product development at GE Aerospace
I am passionate about all areas of VLSI Design and trying my level best to be an expert in the entire flow, analog, digital and mixed signal. Beyond chips, I like poetry, skating, skydiving, late night swimming and trekking in no particular order.
Pham Van Khoa received the B.S. degree in Computer Technology and PhD. degree in Electronic Engineering from the University of Technology and Education, Vietnam and Kookmin University, Korea, respectively. In 2010, he joined ICDREC (Integrated Circuit Design Research and Education Center), where he was engaged in the development of VN8-01 MCU, the first commercial micro-controller fully designed and fabricated by Vietnamese. In 2011, he joined University of Technology and Education HCMC, where he is currently a senior lecturer at Department of Computer and Communication Engineering. His research interests include Low-power VLSI solutions for Memory, Energy Harvesting, Memristor-based Neuromorphic Computing Systems, Neural Network Accelerators and MP-System-on-Chip based designs.
ASIC and FPGA design and verification Engineer with a sideline in bring devops to Hardware projects
I am interested in new things. I've designed chips from definition to polygons, mostly in the pursuit of new capabilities.
I am interested in Robotics and Bioengineering. A holistic approach can lead to developing optimal systems. The co-design of cyber-physical systems must take into account the biological and mechanical models, hardware, and software. I search for the application of mathematical representation of models by algebraic geometry, topology, and energy fields. The study of mathematical concepts can lead to hardware and software design that solve complex dynamical systems.
Electrical Engineering student at UFMG, scheduled to graduate in Dec/2022. Experience in the automotive sector by the Formula Tesla UFMG team, designing electrical and electronic systems. Exchange experience in South Africa for 3 months studying English and working voluntarily in needy settlements. Currently, work as Software Engineer at Cadence Design Systems.
electronic system designer / software and hardware engineer, embeded system expert, signal expert, proccess designer, researcher, Developer of complexity and reversal wantings. Reverse engineer. i addopt my whole life to this science. thank you for presentings of quantum, psych
Zhiyang Ong is a globetrotting, venturesome cultural chameleon tackling challenges related to U.N. Sustainable Development Goals, using a skill set that spans electrical engineering and computer science. He is a Ph.D. student at Texas A&M University's electrical & computer engineering department. He is currently working on noise-based logic and embedded deep learning, and had worked on problems in electronic design automation, VLSI formal verification, satisfiability modulo theories, network science (or complex systems), evolutionary computation, network optimization, and multi-objective optimization. He has also designed multiple VLSI circuits and systems, from SRAMs and processors to a Viterbi decoder and a tree adder. In his free time, he was recently working on solving the Quadratic Travelling Salesman Problem (QTSP) with his research collaborators, using an adiabatic quantum computer from D-Wave Systems.
Researcher, thinker, innovator, amateur, and little science... God almighty believed
A digital design engineer, interested in memory hierarchies and high speed interfaces.
RISC-V Enthusiast GSoC 2020 @ FOSSi Foundation RA @ CAD Lab, IISc Bengaluru, India EE Senior @ NITK Mangalore, India
Electronic Engineer with experience in RF/AMS IC Design and other electronics and telecommunications projects. Served in working groups and also as leader. Has also experience in entrepreneurship. PhD in Microelectronics. Currently Adjunct Professor at Federal University of Semi-Árid Region - UFERSA and Head of LIEB/LAMERF Research Labs where develop R&D projects in the areas of instrumentation, biomedical engineering, RF/MW circuits and microelectronics.
I am designed mixed signal ICs for Music, Audio, IoT and sensor applications.
I am a final year B.Tech undergrad from India highly passionate about digital system design.
DR. PETER BERMEL is an associate professor of Electrical and Computer Engineering at Purdue University. He is the PI for the SCALE project, which aims to perform workforce development in microelectronics. His research focuses on improving the performance of photovoltaic, thermophotovoltaic, and microelectronic systems using the principles of nanophotonics. Key enabling techniques for his work include electromagnetic and electronic theory, modeling, simulation, fabrication, and characterization.
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
Adroitec Systems is design Services Company for the VLSI and Embedded Software. Founded in 2017, Adroitec Systems is having Register Office at Visakhapatnam with branch offices in Bangalore. Adroitec Systems delivers cutting edge solutions across a diverse portfolio of services including Physical Design, Physical Verification, and Design Verification. With about 50 highly qualified employees.
I've done everything from silicon design at the "bottom of the stack" to System Architecture and Design (with plenty of SW to go with it; at every level)
Engineer / VP
I am really interested in Research for progressing my work in RF electronics
I am studying artificial intelligence as my Bachelors at the Institute of Technology Deggendorf. For my further studies I want to specialise in low level chip control and hardware accelerated devices cut out for edge AI devices.
I am Associate Professor in Department of Electrical Engineering at IIT Bombay, India. My interests are embedded non-volatile memory based systems for edge AI
Berna Örs Yalçın received the Electronics & Communication Engineering degree and the MSc degree in 1995 and 1998, respectively, both from the Istanbul Technical University (ITU), Turkey. She received the Electrical Engineering degree in applied sciences from the Katholieke Universiteit Leuven, Belgium, in 2005. Currently, she is a Professor at ITU. Her main research interests include cryptography, embedded systems, and side-channel attacks.