[] Abstract: Electronics, power electronics, and electric machines are becoming important for an array of mobility/transportation, renewable energy and energy efficiency applications. In this presentation, I will introduce NREL and my group. I will describe some metrics, challenges, and opportunities for power electronics, electric machines, and electric traction-drive systems for light-, medium-, and heavy-duty vehicle applications. After that, I will give an overview of my group’s research activities in power electronics, electric machines and integrated (electric) traction-drive systems. This includes thermal management, thermomechanical reliability, state-of-health monitoring, and power module design, development, fabrication, and characterization aspects. Then, I will cover the power electronics thermal management experiences and background in some detail, including fluid-based cooling technologies, and efforts at both the power module- and inverter/converter level. [] Speaker(s): Dr. Sreekant Narumanchi Virtual: https://events.vtools.ieee.org/m/429356

In this talk, "Artificial Intelligence for Trust, Health, and Wellbeing," we will explore the pivotal role AI plays at the heart of the ongoing convergence revolution, where it intersects with nanotechnology, biotechnology, IoT, and robotics. As these technologies rapidly evolve, the integration of AI offers unprecedented opportunities to enhance human life. We will delve into how AI can be harnessed to build trust by combating misinformation and disinformation, ensuring that truth prevails in an increasingly complex digital landscape. Additionally, we will examine the potential of AI-driven biosignal analysis and wearable technology, such as smartwatches, to revolutionize healthcare by enabling the early prediction and prevention of diseases. This talk will provide insights into the future of AI in fostering a healthier, more informed, and trustworthy society. Co-sponsored by: Media Partner: Open Research Institute (ORI) Speaker(s): Anderson Rocha Agenda: - Invited talk from Prof. (https://www.linkedin.com/in/anderson-rocha-br/), IEEE Fellow and Full-Professor for AI, University of Campinas, Brazil - Q/A Session Virtual: https://events.vtools.ieee.org/m/430660

In this talk, we will explore five essential habits that can significantly accelerate product development cycles. Drawing from transformative prior work as a senior executive at Fortune 500 firm Agilent Technologies, John Sadler emphasizes the importance of continuous customer contact, prioritizing quality and cadence over scope, maintaining integration throughout the development process, fostering psychological safety and a growth mindset, and leveraging evidence-based decision-making. We will discuss these five habits: - Releasing at a high quality, fixed cadence by means of a variable rather than fixed scope - Engaging customers directly and developing data sources on customer behavior - Starting integrated and staying integrated - Developing psychological safety in your team - Becoming evidence-guided, developing sources of evidence Together, these practices enhance effectiveness, innovation, and cross-functional collaboration, leading to faster and more reliable product development. Speaker(s): John Sadler Room: 225, Bldg: Heafey, Santa Clara University, Santa Clara, California, United States, Virtual: https://events.vtools.ieee.org/m/429841

Join the September PSES meeting of the Bay Area Joint Section Chapter (SCV/SF/OEB) This meeting will be Hybrid, meeting in person at Village Square Branch Library, 4001 Evergreen Village Square. It will also be streamed online via the Google Meets URL in "Location" below. The meeting will have a technical presentation followed by a business meeting. Presentation synopsis: Bridging the Divide: A Comparative Analysis of Aerospace, Automotive Safety Standards and Process This presentation will delve into the critical safety standards governing the aerospace (DO-178B), automotive (ISO 26262, ASPICE), and artificial intelligence industries. It will explore the similarities and differences in these standards, highlighting their respective approaches to risk assessment, system development, verification, and validation. The presentation will also examine the challenges and opportunities presented by the integration of AI into these domains and discuss the potential for a unified safety framework. By understanding the core principles of these standards and their evolving landscape, industry professionals can better ensure the safety and reliability of complex systems. Speaker Bio: Vikas Vyas is a seasoned Program & Product Management leader with 15+ years in Automotive & Aerospace. Expert in Agile, product strategy, and complex project delivery. Proven track record in designing, developing, and deploying advanced systems compliant with ISO26262, FUSA, and DO178B. Currently leading research & market analysis at Mercedes-Benz R&D North America, driving innovation and exploring autonomous driving trends. Successful in managing diverse portfolios, generating significant revenue, and collaborating with industry giants like Tesla, GM, Ford, and Lucid. Holds a UC Berkeley ExecEd Product Management Studio certificate. Chapter business agenda: - Plan future of the Joint Chapter - Obtain candidates for open officer positions - Discuss ISPCE 2025 in San Francisco Agenda: - Technical Presentation - Business Meeting - Plan future activity of the chapter - New Officer Elections - ISPCE 2025 in San Francisco Village Square Branch Library, 4001 Evergreen Village Square, San Jose, California, United States, 95135, Virtual: https://events.vtools.ieee.org/m/430538

*Hybrid event but in-person attendance encouraged - opportunity to meet and greet the experts from Dispatch Tech which is a company that specializes in network security, IT services, and compliance with a long list of standards. Cybersecurity Today is a rapidly evolving field that encompasses the technologies, practices, and processes designed to protect networks, devices, programs, and data from attack, damage, or unauthorized access. With the increasing reliance on digital systems across industries, cybersecurity has become a critical concern for organizations and individuals alike. We will be addressing some key trends and issues in cybersecurity today. The Rise of AI (Artificial Intelligence) is one of the most transformative trends in technology today, impacting a wide range of industries and aspects of daily life. AI refers to the development of computer systems that can perform tasks typically requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. We will review how AI is shaping the present and future, its benefits and pitfalls. Co-sponsored by: Open Research Institute Speaker(s): Raven Antiquiera Agenda: - 3:30pm - 4:00pm: Coffee + Meet and Greet with the guest. - 4:00pm-5:00pm: - 1.Cybersecurity in the News Recent current events and stories. MGM & Colonial Pipeline compromise, CloudStrike outage, etc. etc. 2.CybersecurityAwareness & Training Password management, 2FA, clicking on unknown links, social engineering & phishing, ransomware and short stories of victims and the resulting negative impact on their business etc. etc. 3.The Rise of AI (artificial intelligence) What is AI? Current events pertaining to AI relating to cybersecurity. Future potential and pitfalls of AI 4.Questions and Answers. - Q/A Session - 5:00pm-5:30pm: More coffee, snacks and socialization :) Room: Auditorium, Bldg: Building Q, 6455 Lusk Blvd, San Diego, California, United States, 92121, Virtual: https://events.vtools.ieee.org/m/430685

This event will be available live at SEMI, as well as over Zoom. Get to SEMI by 6:30pm to network – and enjoy great pizza and refreshments! All attendees MUST register using the Eventbrite form (see link). Organizations that develop or operate applications using deep learning, large language models (LLMs), and generative AI are accountable for the security, safety, privacy, fairness, and transparency of their operation. AI applications require governance, and organizations must manage both the associated risks as well as their compliance with a growing number of laws and regulations. It’s critical to understand that each aspect of responsible AI involves various tools and processes at each of the stages of their development and operation. In this presentation, (https://californiaconsultants.org/members/ron-herardian/) will review the pillars of responsible AI. He will describe important technical requirements and tools, including example open source projects and vendor services, along with solutions from select software startups. The intent of this talk is to help attendees gain a better understanding of the technical implementation aspects of responsible AI. Speaker(s): Ron Herardian, 567 Yosemite Dr, Milpitas, California, United States, 95035, Virtual: https://events.vtools.ieee.org/m/425715

[]Thermal management is becoming an ever more critical challenge for AI chips as the power density increases. Both chip-level and facility-level cooling solutions need to be developed and optimized in order to support the demand and needs. At the chip level, advanced packaging technologies -- such as chiplet architectures and heterogeneous architectures like 2.5D, 3D, and 3.5D hybrid bonded technologies -- are becoming increasingly popular for driving performance and cost improvements in AI/ML hardware. However, these solutions also introduce additional complexity and thermal challenges. To address these challenges, ASIC cooling technology development is a key strategic enabler to ensure the competitiveness and scalability of AI/ML hardware roadmaps. These technologies aim to solve the high total power and increased power density challenges faced by AI/ML systems. On the other hand, at the facility level, various cold plate design and liquid cooling solutions are developing and need to become more mature to be deployed in large scale. This presentation identifies areas for future thermal technology exploration at both ASIC and facility level that require investment to extend the cooling capabilities of future AI/ML roadmaps. These areas include: • Thermal characterization of on-die thermal models • Exploration of thermal interface materials • Optimization of cold plate performance • Evaluation of future embedded cooling solutions • AALC and liquid cooling solutions at the rack level Investing in these areas will help ensure the continued development of high-performance and scalable AI/ML hardware. Speaker(s): Yin Hang, Agenda: see ‘Location’ for webex coordinates Virtual: https://events.vtools.ieee.org/m/430575

Engineers traditionally use deterministic modeling in their tasks, but challenges for developing and optimizing products and processes inspire us to venture beyond deterministic to probabilistic or stochastic modeling. In this continuation from the prior presentation, a case study applying predictive engineering for the optimization of 4 requirements for an integrated circuit (Integrated Alternator Regulator for automobiles) will be shared. Deterministic models were derived by using design of experiments (DOE) and response surface modeling (RSM) in concert with circuit simulations. These deterministic models were melded with probabilistic modeling using Monte Carlo Simulation and Variance Transmission. Yield Surface Modeling™ will be introduced and shared and applied for stochastic co-optimization of the four requirements of the design. Brief summaries and overviews of other applications of predictive engineering to integrated circuit design stochastic optimization will be shared. [] Co-sponsored by: Ad Astra Foundation Speaker(s): Eric Maass, PhD Virtual: https://events.vtools.ieee.org/m/424630

Important: Please use your Zoom account (create one if you don't have) to register for the virtual event. https://sjsu.zoom.us/meeting/register/tZYvc-ygpzwqHd0I34ZDpWy2-9Sot_910anP Join us for the Third International Conference on Applied Data Science (ICADS 2024) , organized by the IEEE Computer Society of Santa Clara Valley. This virtual event brings together global innovators in data science to share cutting-edge research and practical applications. With keynote sessions, interactive workshops, and panel discussions covering topics related to GenAI and its application. ICADS 2024 offers a dynamic platform for innovation and collaboration. Don't miss this opportunity to connect with experts and advance the field of data science. Quantum Gate Neural Networks, Dr Siddhartha Bhattacharyya, India This talk is centered around the introduction to the implementation of neural networks in quantum computing frameworks. The talk starts with a brush-up on the operational principles of classical neural networks, followed by the TensorFlow Quantum Framework (TQF) - the basic building block of Quantum Neural Networks (QNNs). Then it delves into the details of Parameterized Quantum Circuits (PQCs). The Quantum Neural Network training model is also discussed with reference to TQF. Subsequently, it touches on the visualization of Quantum Convolutional Neural Networks (QCNNs). Finally, the advantages offered by QNNs over their classical counterparts are also highlighted. Digital twin in Aerospace Supply chain, Amit Dubey In this cutting-edge 1-hour workshop, we delve into the transformative potential of digital twin technology enhanced by machine learning in the aerospace supply chain. As the industry faces unprecedented challenges and opportunities, this session explores how this powerful combination is reshaping supply chain management, offering unparalleled improvements in efficiency, predictive maintenance, and decision-making processes using data science. Enabling Performance-Efficient GenAI at the Edge Through Quantization, Dwith Chenna The widespread adoption of Generative AI (GenAI) applications has sparked a revolution in the development of innovative solutions, it is expected that inference will account for 90% of the costs associated with GenAI applications, compared to only 10% for training. This cost disparity, along with the environmental impact of inference and data privacy concerns, has underscored the need for optimization at the edge. Quantization has emerged as a crucial technique, offering significant performance gains in computation and memory usage. In this presentation, we will delve into modern quantization techniques that facilitate the deployment of GenAI applications, such as large language models (LLMs), at the Edge. We will explore popular methods including AWQ, SmoothQuant, and Block Quantization, examining their trade-offs and optimizations. Using popular open-source models like Llama, OPT and Mistral, along with Llama.cpp, a well-regarded C++ implementation, as case study, we will analyze the impact of quantization on model performance for achieving overall efficiency in GenAI deployments. The Power and Perils of Generative AI: A Realistic Perspective, Professor San Murugesan In just two years, Generative AI (GenAI) has emerged as one of the most transformative technologies, revolutionizing industries, businesses, and personal interactions with its unprecedented capabilities in content creation, coding, and advisory services. This talk will explore GenAI's dual nature—its extraordinary potential and the significant risks it poses. We aim to provide participants with a balanced understanding of GenAI, empowering them to harness its power while effectively managing associated risks. We'll begin by highlighting applications for which GenAI is particularly well-suited and showcasing innovations reshaping sectors such as healthcare, education, business, research, and design. We will also address GenAI's limitations, including its reliance on vast data sets, its potential to generate biased or misleading information, and its ongoing technical challenges. The discussion will then shift to broader concerns, including ethical dilemmas, security vulnerabilities, and GenAI's societal impact. We'll also examine legal and regulatory issues, focusing on evolving frameworks around responsible AI-generated content, copyright, and regulations to mitigate GenAI's risks. Understanding and addressing these issues is not just a necessity, but a responsibility that we, as technology professionals, must uphold. Finally, we will explore GenAI's impact on cybersecurity—both as a tool for enhancing defenses and as a potential vector for new threats. We’ll also discuss emerging GenAI trends and how businesses and professionals can prepare for the GenAI era Accelerating Code Contribution with CodeBaseBuddy's Intelligent Semantic Search System, Raghavan Muthuregunathan Navigating and contributing to new codebases is a daunting challenge, especially for newcomers to open-source projects. Unlock the power of efficient code contribution with CodeBaseBuddy, a tool that's helping how developers tackle unfamiliar repositories. In this talk, we'll dive into the innovative combination of Retrieval Augmented Generation (RAG), Codestral, and Ollama to create a privacy-preserving, locally deployable semantic code search solution. Discover how this system accelerates onboarding, reduces errors, and enhances community engagement in open-source projects. CodeBaseBuddy provides step-by-step guidance and specific pointers for modifying files, transforming the experience of working with complex codebases. Whether you're a seasoned developer or new to the field, you'll learn how this tool can streamline your coding process and boost productivity. Join us to explore the future of collaborative coding and see firsthand how CodeBaseBuddy is making intricate codebases more accessible than ever before. Panel Discussion - AI and Social Media The convergence of artificial intelligence (AI) and social media has revolutionized the way businesses engage with their audience. By leveraging AI, companies can perform advanced audience analysis and optimize their content to maximize engagement. However, the same technology has also accelerated the spread of misinformation, highlighting the need for a balanced approach that weighs both the benefits and ethical risks.The panel will address critical questions around the benefits and impact of AI integration, the challenges of implementation, the opportunities for innovative applications, and the future trends shaping this rapidly evolving field. By bringing together experts from academia and industry, this discussion aims to shed light on strategic decision-making and policy development, offering valuable insights into the far-reaching implications of AI and social media convergence. Speaker(s): Amit Dubey, Professor San Murugesan, Dwith Chenna, Dr. Siddhartha Bhattacharyya, Vipul Bharat Marlecha, Aqsa Fulara, Anupam Mukherjee, Raghavan Muthuregunathan, Meenal Nalwaya Agenda: Agenda 09:00 -10:00 am: Quantum Gate Neural Networks 10:00 am - 11:00 am: Panel Discussion - AI and Social Media 11:00 - 12:00 pm Accelerating Code Contribution with CodeBaseBuddy's Intelligent Semantic Search System 12:00 - 01:00 pm Digital twin in Aerospace Supply chain 01:00 - 2:00 pm Enabling Performance-Efficient GenAI at the Edge Through Quantization 2:00 - 3:00 pm The Power and Perils of Generative AI: A Realistic Perspective Virtual: https://events.vtools.ieee.org/m/430463

Career, Leadership and Professional Development that IEEE can provide Dr. Don Tan Organized by IEEE San Diego Section and Qualcomm Abstract： IEEE is the largest global network of professionals and volunteers dedicated to promoting engineers and scientists and to inspiring members worldwide to follow their own technical interests/inspirations within engineering and science. To inspire and encourage members working and succeeding in a technological field, Dr. Tan will give a talk based on his rich personal experience and extensive knowledge through functional/project management and technology/product development. The webinar will be followed by a Q&A session and a discussion where you can interact directly with the speaker. We welcome you to ask your questions when you register. Planed topics include: 1) Development of career paths; 2) Career and work-life balance; 3) Career plans and role models for long-term career inspiration; 4) Synergies in leadership skills between work and volunteering for IEEE; and 5) Finding a mentor/sponsor through your workspace and through IEEE volunteering. Speaker(s): Dr. Don Tan Agenda: Monday, September 16, 2024 3:30 pm- 5:00pm Pacific Time Any questions, please contact Dr. Zhensheng Zhang at [email protected] Virtual: https://events.vtools.ieee.org/m/433886

Abstract: In this talk, we focus on the recent developments toward integrated sensing and communications (ISAC). We consider a broad definition of coexistence, which covers ISAC, collaborative communications, and sensing with interference. Toward fully realizing the coexistence of the two systems, optimization of resources for both new/futuristic sensing and wireless communications modalities is crucial. These synergistic approaches that exploit the interplay between state sensing and communications are both driving factors and opportunities for many current signal processing and information-theoretic techniques. In addition, a large body of prior works considers colocated ISAC systems while distributed systems remain relatively unexamined. Building on the existing approaches, the tutorial focuses on highlighting emerging scenarios in collaborative and distributed ISAC, particularly at mm-Wave and THz frequencies, highly dynamic vehicular/automotive environments that would benefit from information exchange between the two systems. It presents the architectures and possible methodologies for mutually beneficial distributed co-existence and co-design, including sensor fusion and heterogeneously distributed radar and communications. The tutorial also considers recent developments such as the deployment of intelligent reflecting surfaces (IRS) in ISAC, 5G systems, passive internet-of-things, and ISAC secrecy rate optimization. This tutorial aims to draw the attention of the radar, communications, and signal processing communities toward an emerging area, which can benefit from the cross-fertilization of ideas in distributed systems. Speaker(s): , Kumar Vijay Mishra Room: 1308, Bldg: SCDI, 500 El Camino Real, Santa Clara, California, United States, 95053

What is BESS thermal runaway? How can it be prevented or mitigated? Please plan to attend this meeting of the Industry Applications Society to learn more. The speaker will be Rick Reynolds, Executive Vice President, ORR Protection Systems. Battery Energy Storage Systems (BESS) are being installed at an ever-increasing pace in an effort to mitigate the infamous duck curve caused by the ramping of renewable energy resources. The duck curve pattern is created by the midday dip (belly) in the net load curve, followed by a steep rise in the evenings when solar generation declines. Recently, there have been multiple reported BESS failures at utility-scale installations around the world. Just in California, in the past 3 years there have been the following incidents according to the EPRI's Battery Energy Storage System Failure Incident Database: - San Diego, CA – May 15, 2024 (250MWh/250MW, LG Chem) - Valley Center, CA – Sept 18, 2023 (560MWh/140MW, LG Energy) - Moss Landing, CA – Sept 20, 2022 (730MWh/182.5MW, Tesla) - Valley Center, CA – Apr 5, 2022 (560MWh/140MW, LG Energy) - Moss Landing, CA – Feb 13, 2022 (400MWh/100MW, LG Energy) - Moss Landing, CA – Sept 4, 2021 (1,200MWh/300MW, LG Energy) This presentation highlights the pressing need to enhance safety measures in lithium-ion battery usage. The presentation examines current risks, draws insights from past incidents, and explores best practices and fire suppression systems. Embracing future trends, it advocates for collaboration, compliance with standards, and continuous monitoring to achieve the vision of zero lithium-ion battery fire incidents. Agenda: Time: No-host social at 5:30pm; Presentation at 6:00pm; Dinner at 7:00pm. Presentation continues at 7:45pm; Adjourn by 8:30pm Place: Zio Fraedo’s, 611 Gregory Lane, Pleasant Hill. Call 925-933-9091 if you need directions. RSVP: Please make reservations by September 16 by contacting Mike Nakamura via email: [email protected] or telephone: (925) 875-2356 or by registering via vTools (Payable via Credit Card) Cost: The cost of dinner is $35 for IEEE members, $25 for student and retired members, $40 for non-members. (Payable as Cash or Check) Zio Fraedo’s, 611 Gregory Lane, Pleasant Hil, California, United States, 94523

Novel hard-mask materials for future semiconductor manufacturing Rapid prototyping of etch test structures for hard mask development using electron beam lithography [] Abstract: Semiconductor manufacturing depends on the development of new processes, advanced patterning, and novel materials to create smaller and higher performing devices to follow the industry roadmaps for applications for computing and systems (such as smartphones and servers). For Dynamic Random Access Memory (DRAM) applications, more innovation is needed to sustain the high aspect ratios required in the capacitor’s architecture - whether it is moving towards 3D architectures or developing new materials to sustain the challenge of scaling. To accelerate the learning, it is essential to screen novel hard mask (HM) materials in a rapid fashion to speed their development. The primary goal of this work is to create a path for rapidly screening of HM materials which are still under early phase development, and which are prepared in small chamber tools (coupon chambers) and therefore not ready for 300 mm process integration. [] Bio: Luisa Bozano: Director of Patterning Engineering, Applied Materials Her interests at the interface of physics, material science and chemistry led her to pursue advanced studies at UC Santa Cruz after receiving her Laurea degree in Physics from the University of Genoa in her native Italy. While receiving her doctorate, she joined IBM Almaden Research. Her work at IBM ranged from the application of metal oxides and polymers to sensors and electronics, to development of resist materials and e-beam methods for improved optical mask lithography. Her leadership in these spaces yielded over 30 issued patents, and as impressively, successful transfer and commercialization of patterning materials to external collaborators. Luisa now leads Applied Materials' interests in advanced patterning, from e-beam to packaging, as Director of Patterning Engineering. Bldg: ==> Use corner entrance: Kifer Road / San Lucar Court ==> Do not enter at main entrance on Kifer Road, EAG Labs, 810 Kifer Road, Sunnyvale, California, California, United States, 95051

[] Free Registration (with a Zoom account; you can get one for free if you don't already have it): https://sjsu.zoom.us/meeting/register/tZEuc-GqrTsvGdGE6yu9qQCx1z2PyRVJZaDj Synopsis: After a brief intro highlighting issues and solutions for data privacy in machine learning settings, Prof. Gautam Kamath will answer your questions related to data privacy, machine unlearning, research, academia, career advice, and anything in between. Please feel free to check out the work and thoughts of Prof. Gautam Kamath, Ph.D. from MIT, http://www.gautamkamath.com/ on Google Scholar at https://scholar.google.com/citations?user=MK6zHkYAAAAJ&view_op=list_works&sortby=pubdate, YouTube https://www.youtube.com/results?search_query=gautam+kamath and generally on the Internet. Then, please feel free to submit your questions - via Twitter by using the hashtag, #KamathAMA and tagging @vishnupendyala - emailing vspendyala(at)hotmail(dot)com with #KamathAMA in the subject - during your registration on Zoom Selected questions will be answered by Prof. Kamath during the session. Audience may be able to ask follow-up questions during the session, using the Chat feature.. Speaker(s): Dr. Gautam Kamath, Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/431191

GUESTS WILL NEED TO SCAN QR CODE AVAILABLE ON PARKING LOT SIGNAGE OR AT FRONT DESK, ENTER THEIR LICENSE PLATE NUMBER AND VALIDATION CODE T6TGJ TO RECEIVE COMPLIMENTARY PARKING. Santa Clara Valley IEEE Power & Energy and Industry Applications Societies Co-hosted by SF PES, OEB PES Join us October 2nd for a presentation and discussion on: PG&E & Community Microgrids Speakers: Shreya Kodnadu and []Franz Stadtmueller: Grid Innovation | Clean Energy and Sustainability Advocates, PG&E Cost: IEEE Members $15 by 9/26 Non-Members $25 by 9/26 (https://events.vtools.ieee.org/m/432373) (After 9/26, if space available, registration will be $5 more and non-refundable) Date: October 2, 2024, 6:00 to 8:30 PM Place: Delta/Marriott Hotel Santa Clara-Silicon Valley About the talk: About the talk: When severe weather or other events take the electric grid down is your community ready? If your answer is no, a community Microgrid might be the solution. A Microgrid (MG) can provide a source of localized power during a grid outage due to extreme weather, a Public Safety Power Shutoff event or other outage. In addition, they can offer efficiency, cost and environmental benefits. A community MG is a group of PG&E customers and Distributed Energy Resources (DERs) within a clearly defined electrical boundary able to disconnect and reconnect to the grid, so critical facilities can be safely energized. They are typically designed to provide energy resilience to important community facilities, such as Hospitals, Police and Fire Stations, Gas Stations and Markets. The local DERs, such as a solar photovoltaic (PV) system and battery, can be owned by third parties and can participate in wholesale markets for energy and related services. PG&E will continue to own and operate the distribution system on which the Microgrid capability is built. PG&E’s Community Microgrid Enablement Program (CMEP) and Microgrid Incentive Program (MIP) offer both financial and technical support. Creating a community MG requires collaboration between your community, a technical engineering firm, and PG&E. The CMEP and MIP can help you take your community’s energy resilience ideas from concept to reality. This presentation will offer a general definition of community MGs, including architecture, electrical design, operational modes, DER’s etc., and offer an example of an implemented solution. Also, it will describe CMEP steps including Consultation, Application, Study & Analysis, Development, Operation. The CMEP and MIP work together to fund all aspects of a community Microgrid. They support the development of clean community Microgrids in disadvantaged and vulnerable communities (DVCs). You can apply for either one individually, or for both programs together. (https://r6.ieee.org/scv-pesias/) and (https://r6.ieee.org/scv-pesias/event/pge-community-microgrids/) Speaker(s): Franz, Shreya Agenda: Agenda: 6:00 Check in, Meet and Greet 6:30 Dinner buffet 7:00 Talk 8:00 Q&A 8:30 Conclude Room: PARKING VALIDATION CODE T6TGJ, Bldg: Delta/Marriott Hotel Santa Clara-Silicon Valley, 2151 Laurelwood Road, Santa Clara, California, United States, 95054

Abstract Tropical butterflies are a bright display of photonic engineering in nature. Their iridescence originates from the interference and diffraction of light within tree-like nanostructures on their scales, inspiring technological innovations in solar cells, displays, fabrics, and other areas. We are inspired by the design principles of these photonic nanostructures to boost performance of gas sensors because existing gas sensors often degrade their performance in complex environments. Thus, new sensing concepts are required to improve sensor selectivity and stability. In this lecture, we analyze capabilities of natural photonic nanostructures as sensors for detection of different gases and the origins of these capabilities. Our acquired knowledge from studies of these natural nanostructures allows us to develop our design rules to fabricate sensing nanostructures for needed gas selectivity for numerous gas monitoring scenarios at room and high temperatures for industrial, environmental, homeland protection, medical, and other applications. Our design rules for selective gas sensors bring a multivariable perspective for sensing, where selectivity is achieved within a single nanostructured sensing unit, rather than from an array of separate sensors. By utilizing individual nanostructured sensors rather than sensor arrays we also improved sensor stability by eliminating independent aging factors in separate sensors in their arrays. Our existing and new machine learning tools further advanced our sensor designs and performance in multi-gas detection. These new multi-gas sensing capabilities provide an affordable technical solution for monitoring of emissions of greenhouse and other gases in urban and industrial environments. Such technical solution is mathematically not feasible using conventional single-output sensor designs. The societal impact of these results is in opening opportunities for more proactive developments of several types of multivariable gas sensors in diverse emerging monitoring applications, ranging from urban pollution and industrial safety to medical diagnostics and homeland protection. Speaker(s): Dr. Radislav A. Potyrailo , Agenda: 6:30 – 7:00 PM Registration & Networking 7:00 – 7:45 PM Invited Talk 7:45 – 8:00 PM Questions & Answers Room: Conference Center (ECC1), Bldg: Building E, 2900 Semiconductor Drive, Texas Instruments, Santa Clara, California, United States, 95051, Virtual: https://events.vtools.ieee.org/m/435029

[] Medical devices that provide a strong clinical benefit are often in high demand, and with that comes effort to simplify, to lower cost - to disrupt. What does a good disruptive technology in medical devices look like and how do they develop? How do you think about the potential to take on a well established product and redefine the minimal viable feature set? Speaker(s): Mike Hess Agenda: Agenda: 6:00 - 6:05 pm EMBS and speaker introduction 6:05 - 6:45 pm Main presentation 6:45 - 7:00 pm Q & A Virtual: https://events.vtools.ieee.org/m/431240

This event is the leadership perspective on the challenges and strategies needed to build the necessary infrastructure for AI to flourish. It is not a smooth road. Sam Altman, CEO of OpenAI, tweeted that for AI to really happen, infrastructure must be there. Infrastructure includes computing and communications technologies, systems to power and cool devices, standards, security, and regulations. While having many technical aspects, it is a major technical management challenge. This presentation examines how and why the World Technology Summit was created as an IEEE event, its topics, speakers, and the management challenges of making AI work. Speaker(s): Michael Condry Room: 225, Bldg: Heafey, Santa Clara University, Santa Clara, California, United States, Virtual: https://events.vtools.ieee.org/m/432907