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SUMMARY:Twisted Signals for ISAC via OAM Vortex Beams
DESCRIPTION:Abstract: Electromagnetic waves are characterized by their amplitude\, frequency\, and state of polarization — also referred to as spin angular momentum (SAM)\, associated with circular polarization and recognized for over two centuries. In contrast\, over the past three decades\, growing attention has been directed toward orbital angular momentum (OAM)\, which arises from helical (twisted) phase fronts and provides an additional degree of freedom through its orthogonal modal structure. In this talk\, we explore the use of OAM for integrated sensing and communications (ISAC)\, with the goal of enhancing spectral efficiency and spatial resolution in automotive scenarios. Unlike conventional uniform circular array (UCA)-based implementations\, our approach employs a uniform linear array (ULA) with traveling-wave antennas to synthesize multiple Laguerre-Gaussian vortex beams. The proposed system embeds communication data within radar waveforms while enabling joint estimation of target position and velocity using radar-only frames. An OAM-based mode-division multiplexing strategy is used to separate sensing and communication functionalities\, ensuring reliable parameter recovery. We conclude with perspectives on the future of ISAC systems.\nBio:\nKumar Vijay Mishra (S’08-M’15-SM’18) obtained a Ph.D. in electrical engineering and M.S. in mathematics from The University of Iowa in 2015\, and M.S. in electrical engineering from Colorado State University in 2012\, while working on NASA’s Global Precipitation Mission Ground Validation (GPM-GV) weather radars. He received his B. Tech. summa cum laude (Gold Medal\, Honors) in electronics and communication engineering from the National Institute of Technology\, Hamirpur (NITH)\, India in 2003. He is a Senior Fellow at the United States DEVCOM Army Research Laboratory; Research Scientist at the Institute for Systems Research\, The University of Maryland\, College Park under the ARL-ArtIAMAS program; 2026 BEL Endowed Visiting Chair Professor in Radar Systems at the Indian Institute of Science\, Bangalore; Technical Adviser to Singapore-based automotive radar start-up Hertzwell; and honorary Research Fellow at SnT – Interdisciplinary Centre for Security\, Reliability and Trust\, University of Luxembourg. Previously\, he had research appointments at the Electronics and Radar Development Establishment (LRDE)\, Defence Research and Development Organisation (DRDO) Bengaluru; IIHR – Hydroscience & Engineering\, Iowa City\, IA; Mitsubishi Electric Research Labs\, Cambridge\, MA; Qualcomm\, San Jose; and Technion – Israel Institute of Technology.\nDr. Mishra has served as the Distinguished Lecturer (DL) of various societies: IEEE Communications Society (2023-2024)\, IEEE Aerospace and Electronic Systems Society (AESS) (2023-2024\, 2025-2026)\, IEEE Vehicular Technology Society (2023-2025\, 2025-2027)\, and IEEE Geoscience and Remote Sensing Society (2024-2025). He has been a Virtual DL of IEEE Future Networks Initiative (2022) and Traveling Lecturer of Optica (2025-). He is the recipient of the IEEE AESS Harry Rowe Mimno Award (2026)\, SAE International Award for Excellence in Innovation (2025)\, IEEE Signal Processing Society Pierre-Simon Laplace Early Career Technical Achievement Award (2024)\, Special Mention for the IEEE AESS M. Barry Carlton Award (2023)\, IET Premium Best Paper Prize (2021)\, IEEE T-AES Outstanding Editor (2021\, 2023\, 2024\, 2025)\, U. S. National Academies Harry Diamond Distinguished Fellowship (2018-2021)\, American Geophysical Union Editors' Citation for Excellence (2019)\, Royal Meteorological Society Quarterly Journal Editor's Prize (2017)\, Viterbi Postdoctoral Fellowship (2015\, 2016)\, Lady Davis Postdoctoral Fellowship (2017)\, DRDO LRDE Scientist of the Year Award (2006)\, NITH Director’s Gold Medal (2003)\, and NITH Best Student Award (2003). He has received Best Paper Awards at IEEE MLSP 2019 and IEEE ACES Symposium 2019.\nSpeaker(s): Vijay\,\nAgenda:\nTBD\nSunnyvale\, California\, United States\, 94086\, Virtual: https://events.vtools.ieee.org/m/561889
URL:https://www.ieeer6.org/event/twisted-signals-for-isac-via-oam-vortex-beams/
LOCATION:Sunnyvale\, California\, United States\, 94086\, Virtual: https://events.vtools.ieee.org/m/561889
CATEGORIES:Local Events
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DTSTART;TZID=America/Los_Angeles:20260622T170000
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DTSTAMP:20260608T060720
CREATED:20260529T142710Z
LAST-MODIFIED:20260607T145716Z
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SUMMARY:2026 GET-AI SERIES: 3 . Practical AI for Everyday Productivity
DESCRIPTION:As Generative AI rapidly moves from experimentation into everyday workflows\, professionals across technical and business roles are discovering new ways to improve productivity\, accelerate decision-making\, and reduce repetitive work. From software engineering and product management to communication\, research\, and operations\, AI assistants are increasingly becoming practical collaborators in day-to-day work.\nFollowing our May session on “Security in AI\,” the IEEE Orange County Computer Society GET-AI Series continues with a practical and demo-driven June session focused on how AI is transforming productivity across the modern workplace.\n—————————————————————\n🔒 June Focus: Practical AI for Everyday Productivity\n[]\nAs AI becomes integrated into modern workflows\, organizations and individuals are leveraging AI tools to automate repetitive tasks\, generate content\, analyze information\, accelerate software development\, and streamline collaboration.\nThis session combines business and engineering perspectives to demonstrate how AI assistants and coding copilots are reshaping the way teams think\, build\, communicate\, and operate.\n—————————————————————\nSession 1: AI Productivity in Everyday Workflows (45 mins)\nMost professionals spend a significant portion of their workweek on repetitive tasks such as drafting emails\, writing documents\, debugging code\, summarizing meetings\, analyzing feedback\, or preparing presentations.\nThis session demonstrates how AI assistants such as Claude can act as practical productivity partners across both technical and non-technical workflows.\nThrough live demonstrations\, attendees will explore real-world scenarios including:\nEngineering Productivity\n– Understanding legacy code\n– Debugging production issues faster\n– Generating features from natural language requirements\n– Writing unit tests and pull request summaries\nBusiness & Product Productivity\n– Converting rough notes into structured PRDs\n– Extracting insights from customer feedback\n– Drafting stakeholder communications\n– Preparing executive presentations and interview guides\nThe session concludes with a live audience challenge where a real attendee workflow problem will be solved interactively using AI.\n👉 Takeaway: Learn practical prompting techniques and AI workflows that can immediately improve day-to-day productivity.\n—————————————————————\nSession 2: AI-Assisted Engineering & Modern Software Development (45 mins)\nAI is rapidly reshaping how engineers design\, build\, review\, deploy\, and operate software systems. This session explores how AI is evolving from a coding assistant into a practical engineering copilot across the software delivery lifecycle.\nTopics include real-world usage of:\n– Codex\n– Cline\n– MCP-enabled development workflows\n– GitHub\, Bitbucket\, and Confluence integrations\nThe session also explores how AI can accelerate:\n– Pull request reviews\n– Design documentation\n– Architecture visualization using Mermaid and draw.io\n– Test generation\n– Troubleshooting and debugging\nA key focus will be AI-assisted spec-driven development\, where AI helps bridge business requirements\, technical specifications\, implementation\, and deployment workflows.\nThe discussion includes:\n– Productivity gains and engineering trade-offs\n– Reliability considerations\n– Human oversight and governance\n– Practical lessons from enterprise adoption\nRather than focusing on theoretical AI concepts\, this session emphasizes practical engineering workflows and actionable techniques that architects\, developers\, and technical leaders can immediately apply.\n👉 Takeaway: Understand how AI-assisted engineering workflows are transforming modern software delivery and learn practical approaches for enterprise adoption.\n—————————————————————\nAbout the Organizer\nPradyumna Kodgi\nPrincipal Product Manager | Oracle Health & AI\nIEEE Senior Member | Vice Chair\, IEEE EMBS – Orange County\nMember\, IEEE AI Agentic Systems & AI Policy Committees\n📍 California\, USA\n📧 pkodgi@ieee.org\n🔗 linkedin.com/in/pkodgi\nCo-sponsored by: Pradyumna Kodgi\nSpeaker(s): Pranay\, Venkatesh\nAgenda:\nAI-Powered Productivity: Practical AI for Everyday Productivity\nAI is rapidly transforming how we work—from writing emails and generating reports to building applications\, analyzing data\, and accelerating software delivery. As AI assistants evolve into intelligent copilots integrated into everyday workflows\, the question is no longer just what AI can generate—but how we can use it effectively to improve productivity and decision-making.\nIn this interactive session\, we move beyond AI hype and explore how modern AI tools are being used in practical\, real-world scenarios across both technical and business environments.\n🔍 What You’ll Explore\n– How Generative AI is reshaping modern work and productivity\n– The role of LLMs\, AI copilots\, coding agents\, and prompt-driven workflows\n– Practical applications of AI across engineering\, product management\, communication\, and operations\n– How AI-assisted tools can accelerate development\, documentation\, research\, collaboration\, and decision-making\n💡 What Makes This Session Different\nThis is not just a theoretical overview—you’ll see AI productivity workflows demonstrated live through practical\, real-world examples.\nThrough interactive demos and walkthroughs\, attendees will experience how AI can:\n– Generate applications from natural language prompts\n– Assist with coding\, debugging\, and documentation\n– Transform rough ideas into structured business artifacts\n– Accelerate repetitive tasks and operational workflows\n🛠️ Practical Takeaways\nYou’ll walk away with actionable techniques and frameworks you can immediately apply\, including:\n– Writing more effective prompts\n– Using AI assistants in day-to-day workflows\n– Leveraging coding copilots and AI productivity tools\n– Combining human expertise with AI-assisted automation\n🎯 Who Should Attend\n– Software engineers and developers\n– Architects and technical leaders\n– Product managers and business professionals\n– Students and AI enthusiasts\n– Anyone interested in improving productivity using AI\n✨ What You’ll Walk Away With\n– A practical understanding of modern AI productivity workflows\n– Real-world examples of AI-assisted engineering and business operations\n– Hands-on insights into prompt-driven application development\n– Strategies to responsibly integrate AI into everyday work\nAs AI becomes increasingly integrated into modern workflows\, productivity is no longer just about working harder—it’s about learning how to effectively collaborate with intelligent systems. This session will help you understand how AI can become a practical copilot for modern work.\nVirtual: https://events.vtools.ieee.org/m/561306
URL:https://www.ieeer6.org/event/2026-get-ai-series-3-practical-ai-for-everyday-productivity/
LOCATION:Virtual: https://events.vtools.ieee.org/m/561306
CATEGORIES:Local Events
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