Join the Silicon Valley, San Francisco and Oakland/East Bay Chapter of the IEEE Robotics and Automation Society and The Commonwealth Club for a showcase of robots with guest speakers from Boston Dynamics, Intrinsic.io, RAND and Silicon Valley Robotics. Our speakers will start the discussion on some real world issues facing the roll out of robots, while we provide a hands-on showcase of some of the robots of tomorrow. ***CANCELED*** Bldg: The Commonwealth Club, 110 The Embarcadero, San Francisco, California, United States, 94105

At a time when computing is so much a part of all of our lives, has incredible job opportunities, and is so empowering, most students graduate high school without having had any introduction to computer science. A decade ago in the United States, the CSforALL movement was launched to broaden participation in computing to those traditionally underrepresented. This talk will reflect on the current state of that initiative, and introduce the "Beauty and Joy of Computing (BJC)" course, which has received worldwide attention and currently has 65% female enrollment at UC Berkeley, among the highest in the nation. Speaker(s): , Dan Garcia Virtual: https://events.vtools.ieee.org/m/360195

WBG semiconductors (i.e. SiC and GaN) outperform silicon in terms of breakdown field (10X in the case of SiC) and thermal conductivity (2X in the case of SiC), hence, ensuring smaller conduction losses and better heat dissipation combined with faster switching frequency. All this results in saving energy (i.e. smaller battery) and costs (i.e. smaller passive components and volume of the power module). However, to take fully advantage of WBG semiconductors it is of paramount importance to: (i) develop new packaging technologies, (ii) optimize the packaging design in terms of thermo-electric and electromagnetic (i.e. stray inductance and mutual coupling) behavior to ensure clean and fast switching of the MOSFETs and avoid oscillations. This talk will start from basic concepts of power module design by taking a half-bridge topology as reference and will show some of the tools and methodologies that are currently used for the optimization. Moreover, the talk will briefly describe some of the new advanced technologies (embedding, chip scale packaging, sintering) for the packaging of GaN and SiC power modules. Speaker(s): Dr. Giovanni Salvatore, Virtual: https://events.vtools.ieee.org/m/361989

Transportation electrification is a transformative trend in the transportation sector, bringing significant benefits in terms of efficiency, convenience, and environmental sustainability. However, the widespread adoption of electric vehicles (EVs) is hindered by the availability and accessibility of charging infrastructure. To overcome this challenge, various charging technologies and modes are being developed and deployed. In this lecture, I will explore various EV charging technologies and modes, such as extreme fast charging, wireless charging, and dynamic charging, that will play a critical role in ensuring the success of the EV revolution. Speaker(s): Ahmed, Virtual: https://events.vtools.ieee.org/m/361785

This is a weekly session of the CIT Summer Series, with Dr. Rami Abielmona presenting Distilling AI: The Hitchhiker's Guide : In this talk, I will present real-world AI/ML Big Data solutions involving unique learning algorithms that allow one to process vast amounts of critical information combined with knowledge acquired from specific domains. These unique models and architectures continually deliver the most accurate information possible in order to constantly optimize the decision maker’s domain awareness. Attendees will learn innovative concepts such as the five levels of Big Data Analytics, the various variations of AI including Machine Learning, Deep Learning and Machine Intelligence, the transformational changes that AI can bring about in the near future as well as the challenges and opportunities to deploy AI-ready applications in mission-critical tactical environments. Speaker(s): Dr. Rami Abielmona, Virtual: https://events.vtools.ieee.org/m/363999

Mitigating Arc Flash Energy is a challenge on medium voltage (MV) to low voltage (LV) substations. On the secondary side, LV switchboards or switchgear are exposed to amplified, high levels of arc flash current directly from the MV-LV transformer. This creates major issues for maintenance that cannot be resolved by including an Energy Reduced Maintenance Switch (ERMS), the typical solution for mitigating arc-flash per NEC 240.8 at the LV main breaker. The line-side of this breaker can easily have an arc flash incident energy above 40 calories/cm2 at the IEEE 1584 recommended 18 inch working distance in front of the switchboard. This high level of arc flash risk would be referenced as PPE category Dangerous. This means no PPE (personal protective equipment) is safe. It can mean the whole switchboard cannot be maintained without a shutdown. Co-sponsored by: Santa Clara University Speaker(s): James Alvers, Agenda: Agenda: Room SCDI 1301 should be open by 5:45 PM. Parking is free in the summer! 6:00 Check in, Meet and Greet, Latimer Energy Lab Tour 6:30 Dinner buffet 7:00 Talk 8:00 Q&A Room: Room SCDI 1301, Bldg: Sobrato Campus for Discovery and Innovation (SCDI), 500 El Camino Real, Santa Clara, California, United States, 95053

Advanced packaging of microelectronic products, especially 3D integration and hybrid bonding, provide challenges to process control and physical failure analysis as well as for the understanding of failure mechanisms. In this talk, the inherent advantages of non-destructive X-ray computed tomography (XCT) in the sub-micron and nano range are demonstrated for fault isolation and for the understanding of the evolution of reliability-limiting defects in packaged microchips. Sub-micron and nano-XCT enable the representation of structures and defects (e.g. micropores and microcracks) in advanced packaging and interconnect structures. Another unique advantage of XCT — as opposed to destructive FA methods — is that kinetic processes such as crack propagation, which can lead to degradation and ultimately failure of microelectronic components, can be imaged with high resolution. Speaker(s): Ehrenfried Zschech, Virtual: https://events.vtools.ieee.org/m/363155

This is a weekly session of the CIT Summer Series, with Nael Abu-Ghazaleh presenting Security challenges and opportunities at the Intersection of Architecture and ML/AI : Machine learning is an increasingly important computational workload as data-driven deep learning models are becoming increasingly important in a wide range of application spaces. Computer systems, from the architecture up, have been impacted by ML in two primary directions: (1) ML is an increasingly important computing workload, with new accelerators and systems targeted to support both training and inference at scale; and (2) ML supporting architecture decisions, with new machine learning based algorithms controlling systems to optimize their performance, reliability and robustness. In this talk, I will explore the intersection of security, ML and architecture, identifying both security challenges and opportunities. Machine learning systems are vulnerable to new attacks including adversarial attacks crafted to fool a classifier to the attacker’s advantage, membership inference attacks attempting to compromise the privacy of the training data, and model extraction attacks seeking to recover the hyperparameters of a (secret) model. Architecture can be a target of these attacks when supporting ML, but also provides an opportunity to develop defenses against them, which I will illustrate with three examples from our recent work. First, I show how ML based hardware malware detectors can be attacked with adversarial perturbations to the Malware and how we can develop detectors that resist these attacks. Second, I will also show an example of a microarchitectural side channel attacks that can be used to extract the secret parameters of a neural network and potential defenses against it. Finally, I will also discuss how architecture can be used to make ML more robust against adversarial and membership inference attacks using the idea of approximate computing. I will conclude with describing some other potential open problems. Speaker(s): Nael Abu-Ghazaleh, Virtual: https://events.vtools.ieee.org/m/364001

Free Registration: https://www.eventbrite.com/e/icads-23-second-international-conference-on-applied-data-science-tickets-642446935077 Synopsis: 8am – 9am PT Prof. Ram Mohana Reddy Guddeti, India 11am – 12pm PT Using Machine Learning Tools in the Cloud: Experience Gained from the Ask4Summary research project Prof. Maiga Chang, Athabasca University, Canada Ask4Summary (https://ask4summary.vipresearch.ca/) is a research that has a system periodically running backend services to process text-based content (e.g., a course’s learning materials and the CORD-19 dataset). The CORD-19 dataset includes a growing number of academic articles regarding Coronaviruses; at present, there are more than 717,000 full text articles in the CORD-19 dataset. When Ask4Summary processes these text-based content, it uses Natural Language Processing (NLP) techniques that include tokenization, n-grams extraction, and part-of-speech (PoS) tagging. It then identifies the keywords from a user’s question and uses cosine similarity to summarize the associated content and present to the user. When the Ask4Summary is fed with course materials like PDFs, Word and Powerpoint documents, it can provide summaries for students’ questions related to the course. Currently Ask4Summary can serve users via three ways: web system, Moodle plugin, and chatbot. In this talk, I would also like to share some of our experiences and insights from using Amazon’s Comprehend Keyphrase Extraction and Syntax Analysis APIs in the Ask4Summary research project. Speaker(s): Prof. Maiga Chang, Vishnu S. Pendyala, Prof. Ram Mohana Reddy Guddeti, Virtual: https://events.vtools.ieee.org/m/362267

Abstract Critical infrastructures including electric grids, water systems, manufacturing, transportation, etc. rely on control systems. Control systems consist of engineering devices “owned” by engineering, and Ethernet networks “owned” by network security. Networks have cyber security and cyber forensic capabilities, and network personnel have cyber security training and a cyber security ethic. The engineering devices such as process sensors and actuators have no cyber security, cyber forensic capabilities, and the engineers have no cyber security training nor cyber security ethic. The culture gap is the defensive network people do not understand the control systems and generally won’t reach out to the engineers and the engineers view cyber security as “e-mail” and do not feel cyber affects them. Meanwhile, the offensive cyber people realize attacking control system devices can cause great harm to physical equipment with no attribution or cyber detection. Applying inappropriate network cyber security technologies have impacted the operation of the control system field devices exacerbating the culture divide. There have been more than 17 million control system cyber incidents that have directly resulted in more than 34,000 deaths and many region-wide electric outages. Despite the improvement in network security technologies, sophisticated attackers can compromise IP networks as demonstrated by Solarwinds. Ransomware has shut down manufacturing facilities due to “an abundance of caution”. Industrial, manufacturing, and transportation facilities cannot be protected by addressing networks alone. Consequently, technologies have been demonstrated that can provide an unhackable approach to control system devices which can help overcome the cultural divide while improving reliability, productivity, and process safety. Speaker(s): Mr. Joe Weiss, Agenda: 6:30 – 7:00 PM Registration & Networking 7:00 – 7:45 PM Invited Talk 7:45 – 8:00 PM Questions & Answers Room: 1308, Bldg: Sobrato Campus for Discovery and Innovation - SCDI, Santa Clara University - Free on site parking, 500 El Camino Real, Santa Clara, California, United States, 95053, Virtual: https://events.vtools.ieee.org/m/365588

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

During the last decade, SSL (Solid-State Lighting) based on components like LEDs, OLEDs, and LDs, have challenged conventional technologies. LEDs have turned into a game changer, beating conventional technologies in all aspects. It is therefore anticipated that in the short term, all electric lighting will be based on SSLs. Artificial light production absorbs around 2,900 TWh per year, corresponding to 16.5% of the world’s electricity annual production. Historically speaking, the past century’s research and development has focused on energy efficiency enhancement. Today, we are witnessing a transition from conventional “analog” lighting technologies to “digital” lighting. Intelligent lighting will become the backbone of smart homes and smart cities. This way, lighting will become the heart of the “Internet of Things”. Switching to smart human-centric lighting will drive both “application efficiency” and quality of light. This means that the next-gen lighting systems should provide the “right light” with the best efficiency and quality, when and where it is needed. Speaker(s): Georges Zissis, Virtual: https://events.vtools.ieee.org/m/360643

The Electron Devices Society Santa Clara Valley/San Francisco joint Chapter is hosting Prof. Eric Pop. The title of the lecture is ‘What Are 2D Materials Good For?’ When: Friday, July 28, 2023 – 12 Noon to 1 pm (PDT) Where: This is an online event and attendees can participate via Zoom. Registration Link: (https://bit.ly/42HxqXv) Contact: hiuyung.wong at ieee.org Speaker: Prof. Eric Pop Abstract: This talk will present my (biased!) perspective of what two-dimensional (2D) materials could be good for. For example, they could be good for applications where their ultrathin nature gives them distinct advantages, such as flexible electronics or light-weight solar cells . They may not be good where conventional materials work sufficiently well, like transistors thicker than a few nanometers. I will focus on 2D materials for 3D heterogeneous integration of electronics, which presents major advantages for energy-efficient computing . Here, 2D materials could be monolayer transistors with ultralow leakage (due to larger band gaps than silicon), used to access high-density memory . Recent results from our group and others have shown monolayer transistors with good performance, which cannot be achieved with sub-nanometer thin conventional semiconductors, and the 2D performance could be further boosted by strain . I will also describe some unconventional applications, using 2D materials as thermal insulators , heat spreaders , and thermal transistors . These could enable control of heat in “thermal circuits” analogous with electrical circuits. Combined, these studies reveal fundamental limits and some unusual applications of 2D materials, which take advantage of their unique properties. Refs: A. Daus et al., Nat. Elec. 4, 495 (2021). K. Nassiri Nazif, et al., Nat. Comm. 12, 7034 (2021). M. Aly et al., Computer 48, 24 (2015). C. Bailey et al., EMC (2019). A. Khan et al. Science 373, 1243 (2021). C. English et al., IEDM, Dec 2016. C. McClellan et al. ACS Nano 15, 1587 (2021). S. Das et al., Nat. Elec. 4, 786 (2021). I. Datye et al., Nano Lett. 22, 8052 (2022). S. Vaziri et al., Science Adv. 5, eaax1325 (2019). C. Koroglu & E. Pop, IEEE Elec. Dev. Lett. 44, 496 (2023). M. Chen et al., 2D Mater. 8, 035055 (2021). . Speaker Bio: Eric Pop is the Pease-Ye Professor of Electrical Engineering (EE) and Materials Science & Engineering (by courtesy) at Stanford, where he leads the SystemX Heterogeneous Integration focus area and the EE Culture, Equity, and Inclusion committee. His research interests include nanoelectronics, data storage, and energy. Before Stanford, he spent several years on the faculty of UIUC, and in industry at Intel and IBM. He received his PhD in EE from Stanford (2005) and three degrees from MIT in EE and Physics. His awards include the PECASE from the White House, and Young Investigator Awards from the Navy, Air Force, NSF CAREER, and DARPA. He is an APS and IEEE Fellow, an Editor of 2D Materials, and a Clarivate Highly Cited Researcher. In his spare time he enjoys snowboarding and tennis, and in a past life he was a college radio DJ at KZSU 90.1. More information about the Pop Lab is available at http://poplab.stanford.edu and on Twitter (https://twitter.com/profericpop).. Speaker(s): Prof. Eric Pop Agenda: The Electron Devices Society Santa Clara Valley/San Francisco joint Chapter is hosting Prof. Eric Pop. The title of the lecture is ‘What Are 2D Materials Good For?’ When: Friday, July 28, 2023 – 12 Noon to 1 pm (PDT) Where: This is an online event and attendees can participate via Zoom. Registration Link: (https://bit.ly/42HxqXv) Contact: hiuyung.wong at ieee.org Speaker: Prof. Eric Pop Abstract: This talk will present my (biased!) perspective of what two-dimensional (2D) materials could be good for. For example, they could be good for applications where their ultrathin nature gives them distinct advantages, such as flexible electronics or light-weight solar cells . They may not be good where conventional materials work sufficiently well, like transistors thicker than a few nanometers. I will focus on 2D materials for 3D heterogeneous integration of electronics, which presents major advantages for energy-efficient computing . Here, 2D materials could be monolayer transistors with ultralow leakage (due to larger band gaps than silicon), used to access high-density memory . Recent results from our group and others have shown monolayer transistors with good performance, which cannot be achieved with sub-nanometer thin conventional semiconductors, and the 2D performance could be further boosted by strain . I will also describe some unconventional applications, using 2D materials as thermal insulators , heat spreaders , and thermal transistors . These could enable control of heat in “thermal circuits” analogous with electrical circuits. Combined, these studies reveal fundamental limits and some unusual applications of 2D materials, which take advantage of their unique properties. Refs: A. Daus et al., Nat. Elec. 4, 495 (2021). K. Nassiri Nazif, et al., Nat. Comm. 12, 7034 (2021). M. Aly et al., Computer 48, 24 (2015). C. Bailey et al., EMC (2019). A. Khan et al. Science 373, 1243 (2021). C. English et al., IEDM, Dec 2016. C. McClellan et al. ACS Nano 15, 1587 (2021). S. Das et al., Nat. Elec. 4, 786 (2021). I. Datye et al., Nano Lett. 22, 8052 (2022). S. Vaziri et al., Science Adv. 5, eaax1325 (2019). C. Koroglu & E. Pop, IEEE Elec. Dev. Lett. 44, 496 (2023). M. Chen et al., 2D Mater. 8, 035055 (2021). . Speaker Bio: Eric Pop is the Pease-Ye Professor of Electrical Engineering (EE) and Materials Science & Engineering (by courtesy) at Stanford, where he leads the SystemX Heterogeneous Integration focus area and the EE Culture, Equity, and Inclusion committee. His research interests include nanoelectronics, data storage, and energy. Before Stanford, he spent several years on the faculty of UIUC, and in industry at Intel and IBM. He received his PhD in EE from Stanford (2005) and three degrees from MIT in EE and Physics. His awards include the PECASE from the White House, and Young Investigator Awards from the Navy, Air Force, NSF CAREER, and DARPA. He is an APS and IEEE Fellow, an Editor of 2D Materials, and a Clarivate Highly Cited Researcher. In his spare time he enjoys snowboarding and tennis, and in a past life he was a college radio DJ at KZSU 90.1. More information about the Pop Lab is available at http://poplab.stanford.edu and on Twitter (https://twitter.com/profericpop).. Virtual: https://events.vtools.ieee.org/m/364501