In the last few decades, Single Photon Avalanche Diodes (SPADs) have emerged as a paradigm changing optical detector. This has been aided by significant progress in the development of SPADs in solid-state technologies, especially in CMOS processes. As a result of their high gain and sensitivity, fast response, digital-like outputs, integration with readout circuits, and ruggedness, they are extremely attractive for a wide range of applications such as automotive (LiDAR), biomedical (FLIM), high-energy physics, HDR imaging, and even quantum computing. This talk will introduce the operating principles of SPADs, realization of different types of SPADs in conventional CMOS processes and their associated performance metrics, different readout circuits, and SPAD-based sensors. Experimentally verified prototypes of CMOS SPADs and SPAD-based sensing systems for a variety of applications will be used to illustrate the advantages and possibilities of these detectors. Speaker(s): , Dr. Shaan Sengupta Virtual: https://events.vtools.ieee.org/m/367128

In the last few decades, Single Photon Avalanche Diodes (SPADs) have emerged as a paradigm changing optical detector. This has been aided by significant progress in the development of SPADs in solid-state technologies, especially in CMOS processes. As a result of their high gain and sensitivity, fast response, digital-like outputs, integration with readout circuits, and ruggedness, they are extremely attractive for a wide range of applications such as automotive (LiDAR), biomedical (FLIM), high-energy physics, HDR imaging, and even quantum computing. This talk will introduce the operating principles of SPADs, realization of different types of SPADs in conventional CMOS processes and their associated performance metrics, different readout circuits, and SPAD-based sensors. Experimentally verified prototypes of CMOS SPADs and SPAD-based sensing systems for a variety of applications will be used to illustrate the advantages and possibilities of these detectors. Speaker(s): , Dr. Shaan Sengupta Virtual: https://events.vtools.ieee.org/m/367128

This is a weekly session of the CIT Summer Series, with David A. Bader presenting Solving Global Grand Challenges with High Performance Data Analytics : Data science aims to solve grand global challenges such as: detecting and preventing disease in human populations; revealing community structure in large social networks; protecting our elections from cyber-threats, and improving the resilience of the electric power grid. Unlike traditional applications in computational science and engineering, solving these social problems at scale often raises new challenges because of the sparsity and lack of locality in the data, the need for research on scalable algorithms and architectures, and development of frameworks for solving these real-world problems on high performance computers, and for improved models that capture the noise and bias inherent in the torrential data streams. In this talk, Bader will discuss the opportunities and challenges in massive data science for applications in social sciences, physical sciences, and engineering. Speaker(s): David A Bader, Virtual: https://events.vtools.ieee.org/m/364003

Save the date! Circuit Launch, Kickstarter and The Hardware Collective are hosting "Get into Robotics" on July 27th. IEEE RAS and Silicon Valley Robotics are adding a Job Fair! Send your HR reps! Post your jobs to Robojobs on svrobo.org There will be a panel discussion about skills needed in robotics, introduction of the mechlabs "Build-it to Learn-it" robotics courses, including using a Doosan arm for palletizing and depalletizing. Bldg: Circuit Launch (upstairs), 8000 Edgewater Dr, Oakland, California, United States, 94621