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Speaker: Dr.R.N.V. Jagan Mohan ((https://www.google.com/url?q=https://www.linkedin.com/in/dr-r-n-v-jagan-mohan-23783651/&sa=D&source=calendar&ust=1753554477868175&usg=AOvVaw3F7O5kTIFsPW-2wp9_MqFg)) Title: Seamless Interaction of Physical and Virtual Systems Abstract: The way people engage with technology is changing as a result of the convergence of virtual and physical systems, spurring innovation in a variety of sectors, including smart infrastructure, manufacturing, healthcare, and education. The concepts, tools, and difficulties of accomplishing smooth connection between the real and virtual creations are examined in this study. It highlights how the Internet of Things (IoT), digital twins, cyber-physical systems (CPS), and immersive technologies like augmented reality (AR) and virtual reality (VR) may create unified worlds where data flows both ways and interactions take place in real time. The study highlights key integration strategies, interface design considerations, and synchronization techniques that enable coherent and responsive system behavior. This study offers an in-depth understanding of the approaches that promote interoperability, scalability, and security in hybrid systems by examining case studies and current research trends. The ultimate goal of the research is to aid in the creation of intelligent, adaptable ecosystems in which digital representations and physical processes seamlessly evolve together and cooperate. Bio: Dr. R.N.V. Jagan Mohan is an Associate Professor in the Department of Computer Science and Engineering at Sagi Rama Krishnam Raju Engineering College, Bhimavaram. He earned his Ph.D. from Acharya Nagarjuna University in 2015.. Dr. Jagan has published 66 research papers, holds 6 patents (with 1 international patent granted), and has authored 8 books. He supervises Ph.D. scholars at JNTU Kakinada and completed a DST-funded international research project on autism in collaboration with Israel. He has organized multiple national and international conferences and faculty development programs. His contributions have been recognized with awards, including the Visionary Academic Leadership Award and Best Faculty Award from AIMERS in 2024. Speaker(s): Jagan Mohan Virtual: https://events.vtools.ieee.org/m/493756 |
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🌞 Final Countdown to Our Youth STEM Summer Camp – Aug 6–7! 🚀 Calling all volunteers —we’re just days away from our exciting 2-day Youth STEM Summer Camp! This hands-on, immersive experience is packed with science, tech, and creativity—perfect for inspiring young minds. 📍 Location: Glad Tiding Family Life Complex, 27709 Tyrrell Avenue, Hayward, CA 94544 📅 Dates: August 6 & 7, 2025 🕘 Time: 9:00 AM – 3:00 PM (Day 1), 9:00 AM – 2:30 PM (Day 2) Our campers will explore topics like Biology, AI/Machine Learning, Physics, Sustainability, Photography, and Aerospace, plus fun activities like STEM Basketball, Lego Play, and a Science Fair! 👩🏫 Volunteers: Please complete the google form https://forms.gle/cxyq1UGWZ1zH95rYA. ✅ Volunteer Training: All volunteers must attend training before the camp, we will finalize the date and time for training soon. Let’s work together to make this STEM Summer Camp an unforgettable experience. See you there! #STEMCamp #IEEESTEM #YouthInSTEM #VolunteersNeeded #STEMEducation #AI #Biology #Aerospace #SummerCamp2025 Co-sponsored by: Benita McLarin 27709 Tyrrell Avenue, Hayward, California, United States, 94544 |
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Organization meeting of SVTHC committee to discuss future technical meetings Co-sponsored by: Silicon Valley Technical History Committee Agenda: Brunch and discussion of planned technical meetings and new meeting ideas 1314 S Mary Avenue, Sunnyvale, California, United States |
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Abstract of Seminar Electrical generation, transmission and distribution systems all over the world have entered a period of significant renewal and technological change. There have been phenomenal changes/deployments in technology of generation driven by the worldwide emphasis on energy from wind and solar as a sustainable solution to our energy need. Increasingly energy demand from heating and transportation will be met by electricity. So, to accommodate changes in either end the transmission grid is required to operate in more responsive manner. This is the most credible challenge in smart transmission grid operation today. Some of the recent wind farm operations have grabbed media headlines of not being connectable to the grid. While the debate is on whether it is the wind farm or the grid is the cause, the balance of the debate is shifting towards the integration and control aspect of these two technologies. This seminar will briefly mention the recent major problems in connecting big wind farms to the grid. It will then identify few possible specific technical reasons supported by the general technical insights gathered from detailed technical study conducted at Bikash Pal’s research group at Imperial College London. Future research challenges and opportunities will be highlighted. Co-sponsored by: IEEE Task Force on IoT for Power Systems Speaker(s): Bikash Pal, Virtual: https://events.vtools.ieee.org/m/495135
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Generative Adversarial Networks (GANs) implement Machine Learning (ML) algorithms that can address competitive resource allocation problems, together with detection and mitigation of anomalous behavior. In this talk, the speaker will discuss their use in next-generation (NextG) communications within the context of cognitive networks to address i) spectrum sharing, ii) detecting anomalies, and iii) mitigating security attacks. GANs have the following advantages. First, they can learn and synthesize field data, which can be costly, time-consuming, and non-repeatable. Second, they enable pre-training classifiers by using semisupervised data. Third, they facilitate increased resolution. Fourth, they enable recovering corrupted bits in the spectrum. The talk will provide basics of GANs, a comparative discussion on different kinds of GANs, performance measures for GANs in computer vision and image processing as well as wireless applications, a number of datasets for wireless applications, performance measures for general classifiers, a survey of the literature on GANs for i)–iii) above, some simulation results, and future research directions. In the spectrum sharing problem, connections to cognitive wireless networks are established. Simulation results show that a particular GAN implementation is better than a convolutional autoencoder for an outlier detection problem in spectrum sensing. Co-sponsored by: Vishnu S. Pendyala, SJSU Speaker(s): Dr. Vishnu S. Pendyala, Prof. Ender Ayanoglu Virtual: https://events.vtools.ieee.org/m/493301 |
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Free Registration (with a Zoom account; you can get one for free if you don't already have it. This requirement is to avoid Zoom bombing. Please sign in using the email address tied to your Zoom account — not necessarily the one you used to register for the event.): https://sjsu.zoom.us/webinar/register/WN_DIDfdbkgRFeEd3JbzURIUQ Synopsis: How are machine learning algorithms able to answer questions from any nook and corner of the World Wide Web? How are trending hashtags from the near infinite microblog posts, unique visitors and other distinct counts in the near infinite website traffic determined? How do blogging websites avoid recommending articles a user has previously read? In general, how can we answer complex queries about enormous data streams without storing them entirely, in real-time? The answer often lies in clever approximation algorithms and data "sketches" that capture essential properties using vastly reduced space. The relentless flow of data in modern systems indeed presents significant challenges. These data streams are often too large to store and too fast to process exhaustively with traditional methods. This talk introduces key sketching and approximation techniques that help generate real-time data insights by processing data streams. --------------------------------------------------------------- By registering for this event, you agree that IEEE and the organizers are not liable to you for any loss, damage, injury, or any incidental, indirect, special, consequential, or economic loss or damage (including loss of opportunity, exemplary or punitive damages). The event will be recorded and will be made available for public viewing. Speaker(s): Dr. Vishnu S. Pendyala Virtual: https://events.vtools.ieee.org/m/482936 |
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Speaker: Mahesh Reddy Konatham ((https://www.linkedin.com/in/maheshrkonatham/)) Title: Model Context Protocols: Building Intelligence into Engineering Workflows Abstract: As systems grow in scale and complexity, preserving and transmitting context becomes a first-class design concern. Model Context Protocols (MCPs) are emerging as a powerful abstraction for embedding structured context across engineering workflows — from test infrastructure to deployment pipelines, platform services, and AI-assisted development. Bio: Mahesh Reddy Konatham is a Senior Software Engineer at PayPal, specializing in building scalable full-stack applications and distributed systems. He holds a Master’s degree in Software Engineering from San Jose State University and a B.Tech from NIT Trichy. Mahesh has contributed to diverse domains including fintech, utilities, and developer experience platforms. He brings deep expertise in backend services, microservices, React-based frontends, and cloud infrastructure. At PayPal, he has developed systems that power critical financial products and internal tools. Mahesh has led initiatives in automation, visual testing, and performance optimization across large-scale systems. He is passionate about Generative AI, developer platforms, and the design of Model Context Protocols (MCPs).His current interests lie in integrating structured context into engineering workflows and intelligent test environments. Mahesh is driven by curiosity, clean system design, and enabling engineers to build smarter, more reliable software. Speaker(s): Mahesh Reddy Konatham Virtual: https://events.vtools.ieee.org/m/495510 |
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IEEE SF/OEB Power & Energy Society (PES) is excited to announce our upcoming PG&E Diablo Canyon Power Plant Site Visit on Thursday August 21, 2025, from 8am to 2pm, with 7:30am arrival! We have a limited number of spots and expect it to fill up fast. Please register on vTools ASAP but only if you believe you can make it. You will need to travel to Avila Beach on August 20th to be there the night before. Site Tour will include a risk management presentation and site visits to turbine deck, control room simulator, Independent Spent Fuel Storage Installation, and marina. Once you have registered, SF PES Chair Wendy Al-Mukdad will send you the PG&E event registration with a lot more information about preparing for your visit, pre-tour safety video, visitor rules & information. PG&E must pre-approve all registered attendees no later than 2 weeks before the event. IEEE SF/OEB PES attendees tentatively are planning to meet for dinner on Wednesday August 20th in Avila Beach. More info to follow. Please contact Wendy at walmukdad@ieee.org with any questions. UPDATE: With only 2 spots left, 30+ hours after the IEEE eNotice was issued, once registration is full, please contact Wendy if you would like to be considered for a waiting list and/or for a possible spring tour! Avila Beach, California, United States
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- Connect with local IEEE Young Professionals and Interns. - Networking opportunities to bridge the transition from student to professional. - Build connections for internships and potential career opportunities. - Enjoy delicious food and drinks! - First drink is on us! - Appetizers on us! 99 First St, San Jose, California, United States, 95113 |
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Recent advancements in machine learning, while powerful, are often burdened by significant computational and memory requirements, limiting their deployment in resource-constrained settings. Hyper dimensional Computing (HDC) emerges as an alternative with its simplicity, lightweight operations, and robustness to errors. By encoding data into high-dimensional vectors and performing efficient algebraic computations, HDC opens a new avenue as an efficient learning paradigm. In this talk, Dr. Fatemeh Asgarinejad will introduce the fundamentals of HDC and briefly discuss existing research that has extensively explored various stages of HDC algorithm. Then, she will present three key domains of her research: First, she will discuss PIONEER, a novel approach that employs learned projection vectors to optimize the encoding process. By leveraging neural networks to learn these vectors, PIONEER enables HDC to achieve high accuracy with significant computational efficiency. Second, she will present HDXpose, an adversarial attack framework that exploits an advantage of HDC: “explainability”. By strategically analyzing and perturbing influential input points, HDXpose effectively unveils vulnerabilities within HDC models, underscoring the need for robust security measures in HDC system design. Lastly, Dr. Asgarinejad will show an application of HDC in developing a cost-effective and noise-resilient pressure mat system for human activity recognition. The HDC-based system surpasses CNNs in accuracy and efficiency. Co-sponsored by: Media Partner: Open Research Institute (ORI) Speaker(s): Fatemeh Asgarinejad Agenda: - Invited talk from Dr. Fatemeh Asgarinejad, an incoming Assistant Professor of Teaching in the Electrical and Computer Engineering Department at the University of California, Riverside. - Q/A Session Virtual: https://events.vtools.ieee.org/m/496707
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The use of wearable electronic devices that can acquire vital signs from the human body noninvasively and continuously is a significant trend for healthcare. The combination of materials design and advanced microfabrication techniques enables the integration of various components and devices onto a wearable platform, resulting in functional systems with minimal limitations on the human body. Physiological signals from deep tissues are particularly valuable as they have a stronger and faster correlation with the internal events within the body compared to signals obtained from the surface of the skin. In this presentation, I will demonstrate a soft ultrasonic technology that can noninvasively and continuously acquire dynamic information about deep tissues and central organs. I will also showcase examples of this technology's use in recording blood pressure and flow waveforms in central vessels, monitoring cardiac chamber activities, and measuring core body temperatures. The soft ultrasonic technology presented represents a platform with vast potential for applications in consumer electronics, defense medicine, and clinical practices. Speaker(s): Dr. Sheng Xu Agenda: 6:50 - 7 PM: Registration 7-8 PM: Talk and Q&A Virtual: https://events.vtools.ieee.org/m/495898 |
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Extremely Power-Dense Solar Panels for the Extremes of Space https://www.eventbrite.com/e/1539115508919?aff=oddtdtcreator Abstract: Ultrathin photovoltaic devices based on two-dimensional (2D) transition metal dichalcogenides (TMDs) have emerged as promising candidates for next-generation solar power in weight- and volume-constrained environments. In this talk, I will present flexible TMD solar cells that integrate semitransparent contacts and engineered interfacial layers to enhance charge collection, optical absorption, and environmental stability. Compared to traditional thin-film and III-V technologies, these 2D devices offer superior specific power, mechanical flexibility, and potential resilience under extreme operating conditions. I will also discuss pathways for transitioning TMD photovoltaics from laboratory demonstrations to real-world deployment in aerospace, mobile, and off-grid systems. This includes recent efforts through Arinna, a spin-out focused on advancing 2D solar technologies for mission-ready applications across space, mobility, and distributed energy sectors. Read More: (https://www.arinna.xyz/) (https://www.nature.com/articles/s41467-021-27195-7) (https://www.cell.com/device/fulltext/S2666-9986(25)00036-5) [] Bio: Dr. Koosha Nassiri Nazif is a leading expert in high-specific-power photovoltaics, with over a decade of experience in thin films and two-dimensional (2D) materials. He earned his Ph.D. in Electrical Engineering from Stanford University, where he led foundational research on flexible transition metal dichalcogenide (TMD) solar cells, resulting in multiple publications and patents. His postdoctoral work at Stanford focused on scalable manufacturing and radiation resilience of these materials. He is now co-founder and CEO of Arinna, where he is building on this foundation to commercialize breakthrough solar technologies for advanced power and mobility systems. In-Person Meeting Thursday, August 28, 2025 11:30 AM: Networking, Pizza & Drinks Noon -- 1 pm: Seminar -------- Please register on Eventbrite before 9:30 AM on Thursday August 28 Co-sponsored by: SCV/SF Jt. Section Chapter, ED15 Joint Chapter Agenda: 11:30 AM: Networking, Pizza & Drinks Noon -- 1 pm: Seminar Break & Networking 1 pm -- 1:30 pm Optional Lab Tour 1:30 pm - 2:00 pm Covalent Metrology, 923 Thompson Pl, Sunnyvale, California, United States, 94085
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[]Advances in smart response-based processes have significantly improved wire bond reliability and further strengthened the use of the technology in high-volume manufacturing (HVM). Wire bonding technology remains a staple choice in vast majority of semiconductor packages due to its low cost, increased flexibility, and high yield rate. A traditional wire bond process consists of a wire loop with a ball bond on die and a wedge bond on substrate. Vertical Wires are an emerging interconnect solution formed using a unique process on the same ball bond equipment. Vertical Wires can be used as an alternative to the traditional wire bond processes or in conjunction with the traditional wire loops in SiPs. Although initially developed for interconnection applications, Vertical Wire technology was introduced in HVM for EMI shielding in SiP and RF packages. This presentation will detail new advances in Vertical Wire Technology to further reduce wire pitch, increase I/O density, and reduce package footprint. An overview of application range, capability and design rules for the technology will be discussed. Speaker(s): Basil Milton, Virtual: https://events.vtools.ieee.org/m/495344
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IEEE Bay Area Summer Social Come join us for a fun Thursday evening at Tempest SF (Dive Bar)! Network with local IEEE young professionals and students in the area for internships, while enjoying delicious food and drinks. This in-person event is the perfect opportunity to relax, unwind, and connect with like-minded professionals in a casual setting. Don't miss out on this chance to make new friends and build connections to help you navigate the transition from student to working professional. Special Invite: SHPE SFBA Professional Chapter! First drink is free, and we will provide appetizers to share. Price of admission (including drink and food) is $5 for young professionals and $3 for students/interns. See you there! Why Connect with Young Professionals? Getting involved with your local IEEE Young Professional (YP) organization is a great way to bridge the transition between academic life and a full-fledged professional career. A few key benefits of being involved in your local YP section include: - Networking Opportunities: IEEE YP events bring together like-minded individuals from diverse technical backgrounds. It's a perfect platform to expand your professional network, potentially connecting you with future collaborators, mentors, or employers. - Professional Development: Gain valuable insights and skills through workshops, seminars, and panel discussions tailored to enhance your professional growth. These events often cover topics ranging from technical advancements to career advancement strategies. - Transition from Student to Professional: For students/interns transitioning into full-time roles, IEEE YP provides a supportive environment helping navigate this crucial career phase successfully. - Friendship and Camaraderie: Beyond professional benefits, IEEE YP fosters friendships and camaraderie among its members. Building a strong network of peers who share your interests can make your professional journey more fulfilling and enjoyable. Public Transportaion. Take Bart and get off at Powell Station, it is about a 7min walk from Bart. Agenda: 5:30 PM-Check in 6:00 PM-Ice Breaker 7:00 PM-Group Picture 2940 431 Natoma Street , San Francisco, California, United States, 94103 |
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IEEE SCV WIE AI Summit 2025 [] In an era where AI technologies are rapidly transforming industries and redefining possibilities, it is crucial to explore both the innovations driving this change and the responsibilities that come with it. Today, we will delve into a diverse array of topics that highlight the multifaceted nature of AI and its profound impact on our lives. Our sessions will cover the latest developments in Large Language Models and Foundation Models, exploring efficient fine-tuning, multilingual adaptation, and the role of LLMs as knowledge bases. We will also examine the evolution of AI agents, focusing on autonomous task completion, multi-agent collaboration, and the integration of external knowledge for robust decision-making. In the realm of Vision and Multimodality, we will explore the integration of text, image, and video understanding, as well as advanced techniques like zero-shot learning and self-supervised learning. Our discussions on MLOps for LLMs will provide insights into best practices for training, deploying, and evaluating large models. We will also address the critical areas of Knowledge-Grounded Reasoning, On-Device Learning, and the ethical dimensions of AI, including bias mitigation, privacy preservation, and the detection of misinformation. Talk tracks are broadly classified but not limited to, 1. Large Language Models (LLMs) & Foundation Models 2. AI Agents 3. Vision & Multimodality 4. MLOps for LLMs 5. Knowledge-Grounded & Reasoning 6. On-Device Learning for LLMs and Multi-Modal AI 7. Ethics, Bias & Fairness Speaker(s): Jagruti Mahante & Shreya Anand, Jesmin Jahan Tithi, Harika Rama Tulasi Karatapu, Pallishree Panigrahi, Rong Wang and Sushma Venkatesh Reddy, Disha Ahuja, Shubhi Asthana Agenda: 3:15-4:00 Registration 4:00-4:10 IEEE SCV WIE Welcome Message 4:15-4:45 Multi-Agentic Synthetic Data Generation for Realistic, Multi-Turn Conversations - By Disha Ahuja, Cisco 4.50-5.20 The LLM Imperative: Secure Your AI Frontier Before It Fractures Your Enterprise - By Jagruti Mahante & Shreya Anand, Workday 5:25-5:55 Designing Data Centers for Next-Gen Language Models - By Jesmin Jahan Tithi, Intel 5:55-6:30 Networking and Refreshments 6:30-6:50 ReAct Prompt Design: Enhancing LLM Reasoning & Tool Use - By Shubhi Asthana, IBM 6:55-7:15 AI Powered SaaS on GCP - By Harika Rama Tulasi Karatapu, Google 7:20-7:40 Designing for Trust: Responsible AI from Data to Deployment - By Pallishree Panigrahi, Amazon 7:45-8:05 The First Enablement of GPU On-Device LLMs on Intel Chromebook Platforms - By Rong Wang and Sushma Venkatesh Reddy, 8:05-8:10 Final Wrap-up Bldg: SC12, Intel, 3600 Juliette Ln, Santa Clara, CA 95054, US, Santa Clara, California, United States, 95054 |
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