Sun
7
Sun 7 Jun | 08:00 - 11:50
Room: 256
DetailsRFIC
RFTT
Workshops
Abstract
Distributed Amplifier (DA) architectures have long been valued for their ability to deliver exceptionally wide bandwidths. In recent years, new design strategies and circuit techniques in various technologies have dramatically expanded their potential in applications ranging from high-speed optical and wireless communication to defense, instrumentation, radar, and sensing. This workshop will provide a comprehensive overview of recent research and development in distributed amplifiers, focusing on performance improvements across bandwidth, output power, linearity, noise, and efficiency enhancement. Emphasis will be given to implementations across multiple technology platforms including CMOS, SiGe BiCMOS, GaN, and InP technologies, highlighting the unique opportunities and challenges in each domain.
Sun
7
Sun 7 Jun | 08:00 - 17:20
Room: 153AB
DetailsRFTT
RFSA
Workshops
Abstract
Generative AI and Large Language Models (LLMs) are beginning to change how electromagnetic and RF systems are specified, synthesized, and verified. Although these tools are common in software and data science, their use in microwave engineering is nascent and requires careful, physics-aware evaluation. This full-day workshop spotlights state-of-the-art methods that connect AI generation to EM reality, moving beyond proofs-of-concept toward validated models and workflows engineers can use today. Technical content centers on three pillars — (1) Inverse EM / spec-to-layout and end-to-end design: “Generative AI Methods for Wireless Propagation Prediction” (Costas Sarris) shows diffusion and GANs for real-time, generalizable indoor propagation maps and super-resolution; “AI-enabled End-to-End RF and RFIC Design” (Kaushik Sengupta) discusses inverse-design and generative AI approaches for automated synthesis of complex RF passives, multi-port elements, antennas, and spec-to-GDS RFIC flows combining reinforcement learning and inverse design; “Empowering Optimal Design of RF Devices by Generative AI” (Dominique Baillargeat and Francisco Chinesta) introduces rank-reduction autoencoders as generative surrogates for RF circuits and antennas; “An Autonomous Agentic Framework for Deep Inverse Photonic Design” (Willie Padilla) presents an agentic, autonomous inverse-design workflow for metamaterials, illustrating how AI agents can accelerate spectrum-to-structure design paradigms relevant across EM domains — (2) LLM-augmented EDA workflows and ML foundations: “Practical Considerations for Applying AI to RF and Microwave EDA Workflows” (Matthew Ozalas) and “Accelerating Innovation: AI-Driven Advances in Sigrity, Clarity, and Optimality” (Jian Liu) highlight Keysight’s and Cadence’s strategies for GenAI/LLM-aided design; Complementary talks cover attention mechanisms for non-linear circuit modeling (Qi-Jun Zhang) and multiphysics-informed, data-free ML for RFIC design (Dan Jiao) — (3) Multimodal LLMs: “Multimodal LLMs for Electromagnetic Waves” (Zhi Jackie Yao) fuses image-based EM data with text via a BLIP bridge into pretrained LLMs for EM reasoning and design assistance. Rigor and trust will be discussed throughout. Talks and discussion will cover dataset curation, generalization, solver-in-the-loop constraints (passivity/causality/manufacturability), independent EM/measurement validation, and secure integration into EDA flows, along with practical guardrails to avoid hallucinations and constraint violations. For attendees new to this intersection, the workshop includes short primers, reproducible examples, and simple evaluation checklists to separate signal from hype.
Sun
7
Sun 7 Jun | 08:00 - 17:20
Room: 156C
DetailsRFTT
Workshops
Abstract
The ever-increasing demand for high-throughput communication links and high-resolution radar sensors is driving the development of future wireless systems at higher operating frequencies, from mm-wave to sub-THz bands. The flexibility required from these systems to support multiple functionalities leads to the adoption of large phased array antennas and complex System-in-Package (SiP) Bit-to-RF or Optical-to-RF solutions. Heterogeneous technologies and vertical 3D integration will play a vital role in enhancing performance and functional density while reducing the size and cost of next-generation RF systems. However, the shift to 3DHI also introduces a new set of challenges, ranging from novel processes and substrates to RFIC/MMIC design, packaging and thermal management. This workshop brings together leading experts from academia and industry to present the latest advances and design methodologies in heterogeneous integration and advanced packaging technologies for mm-wave and sub-THz applications. The talks span a wide range of critical topics, including interposer-based system integration, advanced simulation techniques, integration of III-V technologies, SiGe and CMOS platform optimization, and co-packaged system testing and calibration.
Sun
7
Sun 7 Jun | 08:00 - 17:20
Room: 157AB
DetailsRFTT
RFSA
Workshops
Abstract
The rapid progress in quantum computing has made microwave engineering a key enabler of nearly all major hardware platforms, including superconducting qubits, spin qubits, trapped ions, etc. Each of these technologies relies on advanced microwave techniques for control, coupling, readout, and scaling, demanding approaches that go well beyond classical electromagnetics. This creates a great opportunity for microwave engineers to make lasting contributions to the development of quantum computing and related technologies. The need for ultra-low-noise amplification, high-fidelity readout, and crosstalk suppression has stimulated novel device designs, often requiring hybrid approaches that combine electromagnetic modeling with quantum theory. Similar challenges appear in other quantum platforms; for example, trapped-ion processors demand stable and phase-coherent microwave delivery for multi-qubit gates, while spin qubits rely on advanced microwave control schemes. At the algorithmic level, quantum computing is increasingly viewed as a potential game-changer for electromagnetics and related fields. Specialized quantum algorithms promise significant acceleration for tasks such as solving integral equations, optimizing antenna radiation patterns, or addressing NP-hard problems in inverse scattering and system design. While fully fault-tolerant quantum computing remains a long-term goal, near-term noisy intermediate-scale quantum devices are already serving as valuable testbeds. Hardware-aware algorithm design, ie tailoring quantum algorithms to the specific strengths and limitations of physical devices, is becoming an essential strategy for identifying useful applications in the presence of noise and limited coherence times. This workshop will highlight state-of-the-art advances at the interface of microwave engineering, quantum hardware development, and quantum algorithm design. Contributions will cover multiple quantum platforms, emphasizing both their unique microwave engineering challenges and the unifying principles that connect them. A particular focus will be placed on industrial perspectives, including scalability, reliability, and manufacturability of microwave components for large-scale quantum systems. Industry engagement is crucial, as commercial interest and investment in quantum computing have surged dramatically, creating demand for engineers who can translate fundamental concepts into deployable technologies. To ensure accessibility, the workshop will open with a comprehensive tutorial introducing the basics of quantum theory in the language of microwave engineering. This will help participants from the RF and microwave community engage with the specialized concepts of quantum physics and better appreciate their role in quantum device design. The program will then feature a series of invited talks from leading experts in academia and industry, with topics spanning theoretical methods, quantum hardware, and algorithmic perspectives. By bringing together specialists from diverse quantum hardware platforms, algorithm developers, and industrial leaders, this workshop will provide a unique forum for exchanging ideas, identifying cross-platform synergies, and further drafting the engineering roadmap toward practical, scalable quantum computing.
Sun
7
Sun 7 Jun | 08:00 - 17:20
Room: 157C
DetailsRFTT
ARFTG
Workshops
Abstract
With the operating frequencies of 6G wireless communications and next-generation automotive radars extending above 110GHz, accurate and robust on-wafer measurements are essential for enabling design, model verification, and industrialization. While a solid foundation has been established over the past decades in calibration methodologies and measurement platforms, many challenges remain as research and development move deeper into the sub-THz domain. As advanced devices, circuits, interposers/packaging technologies emerge alongside high-frequency systems, new measurement scenarios and calibration requirements continue to arise. At the same time, new methodologies such as AI-driven automation, advanced calibration algorithms, and novel calibration substrates are being developed to address these evolving needs. This full-day workshop brings together international experts from national metrology institutes, academia, and industry to address these challenges from complementary perspectives. The program begins with a focus on the fundamentals of calibration and measurement, reviewing the state-of-the-art in instrumentation, calibration techniques, and traceability at mm-wave frequencies, followed by comprehensive design guidance for calibration standards and systematic analysis of probe-induced uncertainties. These sessions lay the foundation for reliable and reproducible on-wafer measurements at sub-THz frequencies, offering both the theoretical framework and practical guidance needed for advancing calibration practices. The workshop then transitions to next-generation tools and methodologies that are extending the state-of-the-art. Topics include AI-driven nano-robotic probe stations that achieve sub-micron alignment and reproducible probe placement, calibration algorithms that go beyond conventional error models to capture mode conversion and crosstalk, and the development of GaAs impedance standard substrates supporting diverse calibration standards and measurement scenarios. Recent advances in broadband vector network analyzer technology will also be presented, including single-sweep measurements up to 250GHz and new calibration capabilities. These contributions demonstrate how innovative approaches are being translated into practical platforms, enhancing both robustness and scalability. Finally, the workshop highlights applications and industrial implementations. Talks will show how advanced calibration and measurement techniques are applied in wafer-scale silicon interposer technologies — addressing stackup choices, GSG pad design, and multimode suppression — as well as in high-volume silicon device testing for next-generation components. Presentations from industrial experts will emphasize optimizing calibration substrates, comparing methodologies such as modal versus SOLR calibration, and reducing measurement uncertainties under real manufacturing constraints. Together, these examples illustrate how academic innovation and industrial practice are converging to enable accurate and traceable measurements at scale. By covering the full spectrum from fundamentals to industrialization, this workshop offers participants both foundational insights and exposure to cutting-edge solutions. The day will conclude with an open discussion, providing a forum to exchange ideas, identify open challenges, and shape the roadmap for accurate, scalable, and robust on-wafer sub-THz measurements.
Sun
7
Sun 7 Jun | 08:00 - 17:20
Room: 254AB
DetailsRFIC
RFTT
Workshops
Abstract
Increasing demand for continuous information flow and uninterrupted connectivity requires next-generation communication and sensing systems to support higher data-rates and wideband operation. As a result, wireless systems are moving to higher frequencies, offering wider bandwidth and higher channel capacity, while simultaneously reducing the system size. Although lower mm-wave bands, such as V-band (40–75GHz), have been explored as a potential solution to meet the demand for high-speed connectivity, the elevated levels of atmospheric attenuation create an additional challenge for maintaining signal power in wireless transmission over long distances. On the other hand, the upper portion of the mm-wave spectrum at 110–300GHz, also known as G-band, offers a promising path to achieve higher data-rates in point-to-point links, defense applications, localization, ranging, and other multi-user communication scenarios as the underutilized portion of the EM spectrum, while enabling higher resolution in radars and other sensing systems for biomedical or security screening and also reducing the size of all these systems. The sub-THz spectrum above 200GHz is of particular interest due to lower atmospheric attenuation. However, building high-performance integrated circuits and systems at G-band poses significant disadvantages due to the lower available gain of the transistors and higher noise contribution from components, leading to higher power consumption and reduced sensitivity at these sub-THz frequencies. Therefore, a combination of advanced circuit design techniques and system-level innovations, state-of-the-art high-speed devices harnessing the properties of compound semiconductors, heterogeneous integration, and co-design with packaging is essential to overcome the inherent challenges of the G-band design space. This workshop provides a comprehensive and in-depth review of the latest academic and industrial research on innovative techniques and cutting-edge technologies for realizing high-data-rate wireless communication and radar systems at 110–300GHz across SiGe, scaled-CMOS, InP, and GaN platforms, with particular focus on designs above 200GHz in the upper G-band. First, novel circuit techniques and topologies to enable high-power generation with maximum power efficiency, advanced high-speed device design and optimization in compound semiconductor processes, as well as III-V RF front-ends and hybrid InP/CMOS phased arrays above 200GHz, will be presented. State-of-the-art SiGe BiCMOS transceiver arrays across the entire G-band will be showcased with an emphasis on ultra-compact design and 2D scalability, along with multiple demonstrations of modular beamforming ICs supporting up to 200Gbps wireless transmission, wideband radar transceiver chips for integration in large MIMO arrays, and upper G-band MMICs enabling radar systems with multi-target resolution down to a few millimeters while maintaining an absolute ranging accuracy on the order of 1µm. In addition, system- and circuit-level design considerations for record-low-power CMOS radar sensor systems will be reviewed. Finally, co-design and co-integration of sub-THz ICs in SiGe and SOI with glass interposer technology and 3-D Heterogeneous Integrated (3DHI) phased arrays incorporating an antenna on glass, GaN-on-SiC MMICs, a silicon interposer, and a silicon Beam Forming Integrated Circuit (BFIC) will be presented as a pathway toward end-to-end communication modules in G-band for commercial and defense applications.