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Our portfolio spans across multiple disciplines, including engineering, technology, medicine, and social sciences, providing cutting-edge insights for researchers, academics, and professionals.  We work with experts and thought leaders to deliver timely, relevant, and peer-reviewed resources. Our reputation for quality and integrity ensures that River Publishers is a trusted partner in academic and professional research.\u003C/p>","2024-12-17T14:49:40.685Z","2025-01-10T19:01:28.716Z","2024-12-17T14:49:42.364Z","319",{"id":1496,"name":1497,"alternativeText":16,"caption":16,"width":1498,"height":1499,"formats":1500,"hash":1524,"ext":19,"mime":20,"size":1525,"url":1526,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1527,"updatedAt":1527},246,"ISCAS_2025_Patron-Logos_River Publishers.png",2148,1004,{"large":1501,"small":1507,"medium":1513,"thumbnail":1518},{"ext":19,"url":1502,"hash":1503,"mime":20,"name":1504,"path":16,"size":1505,"width":787,"height":1506},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48.png","large_ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48","large_ISCAS_2025_Patron-Logos_River Publishers.png",51.68,467,{"ext":19,"url":1508,"hash":1509,"mime":20,"name":1510,"path":16,"size":1511,"width":736,"height":1512},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48.png","small_ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48","small_ISCAS_2025_Patron-Logos_River Publishers.png",25.02,234,{"ext":19,"url":1514,"hash":1515,"mime":20,"name":1516,"path":16,"size":335,"width":743,"height":1517},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48.png","medium_ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48","medium_ISCAS_2025_Patron-Logos_River Publishers.png",351,{"ext":19,"url":1519,"hash":1520,"mime":20,"name":1521,"path":16,"size":1522,"width":805,"height":1523},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48.png","thumbnail_ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48","thumbnail_ISCAS_2025_Patron-Logos_River Publishers.png",12.53,115,"ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48",19.18,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/ISCAS_2025_Patron_Logos_River_Publishers_1e9b781b48.png","2024-12-17T14:49:30.859Z",{"id":1290,"variation":757,"button":1529},[1530],{"id":1531,"label":761,"size":762,"color":763,"style":16,"icon":764,"iconPosition":765,"url":1532,"newWindow":8,"downloadable":16,"shape":16},101,"http://www.riverpublishers.com/","-198",{"id":620,"name":1535,"description":1536,"createdAt":1537,"updatedAt":1538,"publishedAt":1539,"url_path_id":1540,"logo":1541,"website":1573,"url_path":1578},"Cirrus Logic","\u003Cp style=\"text-align:justify;\">Founded in 1984 in Silicon Valley, Cirrus Logic is a leader in low-power, high-precision, mixed-signal processing solutions. Leveraging a broad portfolio of hardware, software and proprietary algorithms, Cirrus Logic excels at developing IP-rich solutions that create innovative user experiences for the world’s top mobile and consumer applications. Cirrus Logic has approximately 3,940 issued and pending patents worldwide and counting.\u003C/p>\u003Cp style=\"text-align:justify;\">Cirrus Logic is a recognized leader in low-power, high-precision, mixed-signal audio solutions that include products such as smart codecs, audio DSPs, boosted amplifiers, haptic and sensing ICs, camera controllers, battery and power ICs, analog-to-digital converters (“ADCs”), digital-to-analog converters (“DACs”), codecs that integrate ADCs and DACs into a single IC, digital interface ICs and power stages. Our products are used in a wide array of consumer applications, including smartphones, tablets, laptops, digital headsets, wearables, Bluetooth speakers, and smart home accessories.\u003C/p>","2024-12-18T13:52:37.376Z","2024-12-18T18:34:48.482Z","2024-12-18T13:52:39.678Z","320",{"id":1542,"name":1543,"alternativeText":16,"caption":16,"width":1544,"height":1545,"formats":1546,"hash":1569,"ext":19,"mime":20,"size":1570,"url":1571,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1572,"updatedAt":1572},249,"ISCAS_2025_Patron-Logos_cirrus-logic.png",1491,264,{"large":1547,"small":1553,"medium":1558,"thumbnail":1564},{"ext":19,"url":1548,"hash":1549,"mime":20,"name":1550,"path":16,"size":1551,"width":787,"height":1552},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35.png","large_ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35","large_ISCAS_2025_Patron-Logos_cirrus-logic.png",35.81,177,{"ext":19,"url":1554,"hash":1555,"mime":20,"name":1556,"path":16,"size":1557,"width":736,"height":860},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35.png","small_ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35","small_ISCAS_2025_Patron-Logos_cirrus-logic.png",15.47,{"ext":19,"url":1559,"hash":1560,"mime":20,"name":1561,"path":16,"size":1562,"width":743,"height":1563},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35.png","medium_ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35","medium_ISCAS_2025_Patron-Logos_cirrus-logic.png",25.11,133,{"ext":19,"url":1565,"hash":1566,"mime":20,"name":1567,"path":16,"size":1568,"width":805,"height":160},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35.png","thumbnail_ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35","thumbnail_ISCAS_2025_Patron-Logos_cirrus-logic.png",6.7,"ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35",8.8,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/ISCAS_2025_Patron_Logos_cirrus_logic_7e45301a35.png","2024-12-18T13:52:21.065Z",{"id":1251,"variation":757,"button":1574},[1575],{"id":1576,"label":761,"size":762,"color":763,"style":16,"icon":764,"iconPosition":765,"url":1577,"newWindow":8,"downloadable":16,"shape":16},102,"http://cirrus.com/","-199",{"id":259,"name":1580,"description":1581,"createdAt":1582,"updatedAt":1583,"publishedAt":1584,"url_path_id":1585,"logo":1586,"website":1607,"url_path":1612},"Applied Materials","\u003Cp style=\"text-align:justify;\">We are the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations Make Possible® a Better Future.\u003C/p>","2025-01-14T21:18:16.987Z","2025-01-14T21:18:19.761Z","2025-01-14T21:18:19.748Z","345",{"id":1587,"name":1588,"alternativeText":16,"caption":16,"width":1589,"height":1590,"formats":1591,"hash":1603,"ext":781,"mime":784,"size":1604,"url":1605,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1606,"updatedAt":1606},261,"AppliedWebLogoEnglish102021.jpg",525,187,{"small":1592,"thumbnail":1597},{"ext":781,"url":1593,"hash":1594,"mime":784,"name":1595,"path":16,"size":1596,"width":736,"height":1348},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Applied_Web_Logo_English102021_cd0b2bb837.jpg","small_Applied_Web_Logo_English102021_cd0b2bb837","small_AppliedWebLogoEnglish102021.jpg",11.68,{"ext":781,"url":1598,"hash":1599,"mime":784,"name":1600,"path":16,"size":1601,"width":805,"height":1602},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Applied_Web_Logo_English102021_cd0b2bb837.jpg","thumbnail_Applied_Web_Logo_English102021_cd0b2bb837","thumbnail_AppliedWebLogoEnglish102021.jpg",4.69,87,"Applied_Web_Logo_English102021_cd0b2bb837",11.64,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Applied_Web_Logo_English102021_cd0b2bb837.jpg","2025-01-14T21:16:57.312Z",{"id":1334,"variation":757,"button":1608},[1609],{"id":1610,"label":761,"size":762,"color":763,"style":16,"icon":764,"iconPosition":765,"url":1611,"newWindow":8,"downloadable":16,"shape":16},103,"https://www.appliedmaterials.com/us/en.html","-221",{"id":280,"name":1614,"description":1615,"createdAt":1616,"updatedAt":1617,"publishedAt":1618,"url_path_id":1619,"logo":1620,"website":1629,"url_path":1635},"ASML","\u003Cp style=\"text-align:justify;\">As one of the world’s leading manufacturers of chip-making equipment, ASML provides its customers with tools - hardware, software and services - to create the patterns that define the electronic circuits on a chip. As we improve our products, our customers can increase the value and reduce the cost of chips for their customers.\u003C/p>\u003Cp style=\"text-align:justify;\">We are a global company with over 40,000 employees. Our thousands of engineers work in multi-disciplinary teams and with a network of suppliers and technology partners, innovating to maintain our technology leadership. We set ourselves ambitious goals and take pride in the impact we have on the world around us.\u003C/p>","2025-01-21T16:28:06.652Z","2025-01-21T16:28:08.471Z","2025-01-21T16:28:08.464Z","346",{"id":1621,"name":1622,"alternativeText":16,"caption":16,"width":1623,"height":1624,"formats":16,"hash":1625,"ext":33,"mime":34,"size":1626,"url":1627,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1628,"updatedAt":1628},266,"ASML_Holding_N.V._logo (1).svg",1065,300,"ASML_Holding_N_V_logo_1_85c2099fcf",3.33,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/ASML_Holding_N_V_logo_1_85c2099fcf.svg","2025-01-21T16:28:04.069Z",{"id":1630,"variation":757,"button":1631},86,[1632],{"id":1633,"label":761,"size":762,"color":763,"style":16,"icon":764,"iconPosition":765,"url":1634,"newWindow":8,"downloadable":16,"shape":16},104,"https://www.asml.com/","-222",{"pagination":1637},{"page":5,"pageSize":280,"pageCount":47,"total":554},{"id":1360,"heading":1639,"pageHeader":1640,"sections":1642},"Special Sessions - old",{"id":1360,"description":1641,"showPageHeader":8,"backgroundColor":49,"image":16}," ",[1643],{"id":47,"__component":1644,"componentVariation":1645,"styles":1646,"header":16,"disclosures":1648},"content.disclosure","Disclosure Base",{"id":1406,"edgeTop":48,"edgeBottom":48,"background":1647,"containerWidth":16},"transparent",[1649,1652,1655,1658,1661,1664,1667,1670,1673,1676,1679,1682,1685,1688,1691,1694,1697,1700,1703,1706,1709,1712,1715,1718,1721,1724,1727,1730],{"id":254,"heading":1650,"prose":1651},"Advanced Analysis techniques for Time-Encoded Filters and Data Converters","\u003Cp style=\"text-align:justify;\">This special session shows the recent works of some leading research groups in VCO-based signal processing circuits and systems, with a focus on theoretical developments. New ways to explain the operation of VCO-ADCs beyond the phase referenced model are being developed to push forward this field. These new approaches have extended VCO-based signal processing to analog filters, level crossing and non-uniform ADCs and direct interfaces between sensors and neural networks. Theoretical developments derived from VCO-ADCs have enabled a new formulation of conventional sigma delta modulators that unveils some decades old questions. The session also includes contributions from the industry, to show the technology transfer of this research into commercial products.\u003C/p>",{"id":275,"heading":1653,"prose":1654},"Advanced Research on Near/In Memory Computing","\u003Cp style=\"text-align:justify;\">The von Neumann architecture, characterized by a master processor and memory/storage devices, has dominated computing since its inception. However, the increasing data volumes in contemporary applications have exposed critical limitations in this processor-centric design, particularly due to excessive data movement between the processor and memory/storage, leading to significant power and performance bottlenecks. As Moore's Law wanes, a shift toward memory-centric computing has emerged, driven by advancements in materials and manufacturing. This paradigm shift, which involves performing computation within or near memory, promises substantial improvements in throughput and energy efficiency. This session explores the evolving landscape of memory-centric designs, the diverse definitions and technologies associated with them, and the multifaceted challenges they present across various levels of computer systems and real-world applications.\u003C/p>",{"id":297,"heading":1656,"prose":1657},"Analog and Mixed-Signal Computing Circuits for AI/ML Applications","\u003Cp style=\"text-align:justify;\">This Special Session continues the tradition of Analog and Mixed-Signal Computing Circuits for Artificial Intelligence and allied topics that the proposers have been organizing intermittently at ISCAS since the year 2018. The proposed session encompasses the pertinent topic of Analog and Mixed Signal Computing Circuits for Machine Learning Applications. The session will include 5 invited papers that will cover large-scale integration of CMOS mixed-signal integrated circuits and nanoscale emerging devices to enable a new generation of integrated circuits and systems that can be applied to a wide range of machine learning problems: on-device learning using emerging devices, and non-traditional analog computation.\u003C/p>",{"id":317,"heading":1659,"prose":1660},"Analysis and Optimization of Complex Systems and Intelligent Computing Applications","\u003Cp style=\"text-align:justify;\">Modern society relies on reliable natural and man-made complex systems, like power grids, economic systems, transportation network, etc. The analysis and optimization of complex systems have become increasingly crucial for enhancing efficiency, reliability, and performance across various industries. However, the development of many real complex systems, faces technical challenges in terms of computational convergence, system uncertainty, analytical generalization, decision interpretability and algorithmic adaptability.\u003C/p>\u003Cp style=\"text-align:justify;\">At the same time, the field of artificial intelligence has experienced explosive growth, leading to the widespread adoption of large-scale models. The continuous advancement of AI technology is profoundly affecting various industries and posing great challenges of opportunities in the field of circuits and systems. Utilizing the faster computational speeds, higher accuracy, and enhanced decision-making capabilities provided by state-of-the-art intelligent computing methods is a promising approach to mitigate most of the challenges in analyzing and optimizing complex systems. This special session aims to attract contributions of new methods and techniques for the analysis and optimization of complex systems, especially those leverage the power of intelligent computing to drive innovation and efficiency.\u003C/p>",{"id":337,"heading":1662,"prose":1663},"Artificial Intelligence in Power and Energy Circuits and Systems","\u003Cp style=\"text-align:justify;\">Power and Energy Circuits and Systems (PECAS) community has been investigating artificial intelligence (AI) and machine learning techniques since the 1990s, covering smart grid, power electronics, renewable energy integration, design automation, intelligent control, and smart predictive maintenance. To date, PECAS have been evolving towards data-rich paradigms with ubiquitous connections that support data-driven applications. Many exciting new concepts, state-of-the-art AI tools, and cutting-edge hardware have been emerging and adding new dimensions to PECAS. There are further and greater opportunities for imparting learning capability into systems and underpinning the next quantum leap of smart PECAS. In view of the fast-growing implementations of AI and machine learning techniques in PECAS, this special session aims to inspire ideas and cover the latest research achievements in this promising field. Prospective authors are invited to submit original contributions in this special session.\u003C/p>\u003Cp>Topics of interest include (but are not limited to):\u003C/p>\u003Cul>\u003Cli>AI-assisted design (heatsink, circuity, magnetics, etc.)\u003C/li>\u003Cli>AI in Design for Reliability (DfR)\u003C/li>\u003Cli>AI for accelerated test planning and experiment\u003C/li>\u003Cli>Intelligent data-driven control and optimization\u003C/li>\u003Cli>Online learning and adaptive control\u003C/li>\u003Cli>Intelligent lifetime extension and power routing\u003C/li>\u003Cli>Digital twin and surrogate models\u003C/li>\u003Cli>Cybersecurity and attack identification\u003C/li>\u003Cli>Physics-informed machine learning for PECAS\u003C/li>\u003Cli>Condition & health monitoring\u003C/li>\u003Cli>Anomaly detection, fault diagnostics, failure prognostics\u003C/li>\u003Cli>Tailored AI for data- and computation-light applications\u003C/li>\u003Cli>Uncertainty quantification and repeatability verification\u003C/li>\u003Cli>IoT, cloud computing, hardware implementation\u003C/li>\u003C/ul>",{"id":357,"heading":1665,"prose":1666},"Bridging Quantum Technology to the Industry Needs","\u003Cp style=\"text-align:justify;\">This special session, titled “Bridging Quantum Technology to Industry Needs,” is dedicated to the critical exploration and application of quantum technologies in practical, real-world settings, with a strong emphasis on quantum optimization. As quantum computing rapidly evolves, its advancements have predominantly remained within academic circles. However, there is an urgent need to extend these breakthroughs to industrial applications to unlock substantial economic benefits. Our session aims to bridge the gap between academic theories and practical implementations, enhancing the understanding and utilization of quantum technologies for sustainable growth across various sectors. Particularly, this session will delve into the latest advancements in quantum circuit design, compiler development, architecture, and system optimization. We will explore how these technological components can be tailored to meet the specific demands of industrial applications, thereby enabling more efficient and effective quantum computing solutions. By addressing challenges and opportunities in quantum circuit design and the development of specialized compilers, we aim to demonstrate how optimized quantum architectures and systems can support a wide range of applications, from finance and energy to logistics and beyond.\u003C/p>\u003Cp style=\"text-align:justify;\">For this purpose, we have invited esteemed experts both industry and academia, who are innovators in their respective fields. This session will present five in-depth talks: Wells Fargo will research on the accurately implementing small rotations for single qubit rotation gates by mitigate control errors and pulse distortions in collaboration with RPI and Purdue. Nvidia CUDA-Q team will explore the how to use GPU accelerate classical-quantum hybrid algorithm via their CUDA-Q. HKBU, Nvidia Research, and IBM Research will delve into how to effectively interplay the machine learning and quantum computing. SpinQ and HKUST will discuss its active role in educating people about the importance of quantum computing, as well as its research on measurement and control systems as well as their quantum EDA tool. Lastly, Imperial College London, in collaboration with Hon Hai Research Institute (Foxconn), will showcase its research on robust and resource-efficient compilation of distributed quantum circuits, aimed at addressing large-scale wireless communication network challenges for IoT and automotive applications. And this session is also include a talk by the group of TUM that introduce The Munich Quantum Toolkit (MQT), which is a collection of open-source tools for quantum computing that leverages design automation expertise from classical computing. It provides solutions for various steps in the quantum computing design flow, including application design, simulation, compilation, verification, error correction, and hardware design. By fostering interdisciplinary dialogue and collaboration between academia and industry, this session seeks to accelerate the integration of quantum technologies into various industries. It aims to overcome current technological challenges and develop novel solutions to global issues, positioning quantum technologies as a transformative force in contemporary scientific and economic landscapes.\u003C/p>",{"id":127,"heading":1668,"prose":1669},"CMOS Biosensor Platforms","\u003Cp style=\"text-align:justify;\">The monolithic integration of microelectrodes on CMOS microchips enables the development of large-scale microelectrode/sensor arrays (MEA) with in-pixel processing to achieve a high signal-to-noise ratio and high spatial and temporal resolution. These have already led to the notable commercial success of CMOS-integrated image sensors and DNA analysers. In this special session, new advancements in CMOS MEA, biosensor, and lab-on-CMOS platforms will be presented for applications in rapid diagnostics and analysis of biological samples. The innovative aspects in circuit and system (co-)design will be discussed along with those from cognate research areas of microfluidics, (post-CMOS) surface modification, heterogenous integration, sensor classification, energy harvesting, and deployment in cell sensing, neural interfaces and nucleic acid amplification.\u003C/p>",{"id":397,"heading":1671,"prose":1672},"Computing over Encrypted Data: Novel Hardware Circuits and Systems Design for Accelerating Fully Homomorphic Encryption","\u003Cp style=\"text-align:justify;\">Fully Homomorphic Encryption (FHE) has drawn significant attention recently as it can process computing over encrypted data. On the other side, the practical deploying of FHE is greatly hindered by its extraordinary-large computational complexity. This special session aims to deliver novel FHE acceleration circuits and systems design techniques to the ISCAS community, covering optimized hardware acceleration for FHE’s major operations, new algorithm-to-architecture co-acceleration techniques for key arithmetic component, and novel exploration of FHE on machine learning applications. We hope this special session will enhance the research diversity of ISCAS’25 and attract more follow-up works from the CAS community.\u003C/p>",{"id":418,"heading":1674,"prose":1675},"Cryo-CMOS in Quantum Computing","\u003Cp style=\"text-align:justify;\">Quantum computing(QC) has emerged as an innovative remedy for tackling problems that surpass the complexity limitations of classical computers. A quantum computer generally comprises a quantum processor and a controller. A quantum processor is made of an array of quantum bits or qubits, while a controller is responsible for controlling and reading out the qubit. Innovations in modern quantum computing are hindered by the reliance on outdated control interfaces, such as cumbersome cables. These QCs typically need numerous control and readout cables, hindering scalability and integration. Advanced cryogenic CMOS technology presents an ideal platform for realizing control and readout electronic interfaces. These interfaces must thermalize in the quantum processor’s environment to deliver efficient, coherent control signals. Integrating cryo-CMOS control and readout systems near the quantum processor enables on-chip micro-watt power signal generation for driving and reading out qubits, eliminating noise and heat associated with room-temperature electronics. This facilitates the realization of energy-efficient, integrated, and scalable QCs at a low cost. Therefore, the development of cryoelectronics is a critical and pressing challenge for enabling multi-qubit QCs. This special session is designed to offer attendees a deep understanding of the technical challenges that must be addressed when developing devices, circuits, and systems that operate at extremely low cryogenic temperatures, where quantum phenomena become prominent and can be distinctly observed. Overcoming these challenges is critical for advancing the field of quantum computing and other cryogenic applications. The session will also highlight the reasoning behind the selection of these specific paradigms, which is rooted in a series of significant breakthroughs made by both academic researchers and industry experts in recent years.\u003C/p>",{"id":650,"heading":1677,"prose":1678},"Driving Efficiency in AI: Innovative Circuit and System Designs for Constrained Deep Learning in Emerging Applications","\u003Cp style=\"text-align:justify;\">This special session will explore the latest innovations in hardware and circuit architectures to meet the increasing computational and energy requirements of emerging applications, such as large language model (LLM) serving, AR/VR, and UAV sensing. Emphasizing interdisciplinary collaboration, it brings together algorithm developers, hardware designers, and circuit engineers from academia and industry to bridge the gap between theory and practice. These advancements align closely with ISCAS themes of energy-efficient circuits and systems for AI/ML, addressing the critical challenge of deploying powerful AI solutions in resource and time constrained environments.\u003C/p>",{"id":147,"heading":1680,"prose":1681},"Electronics for Agrifood: IoT Sensing and Data Integration for Sustainable Agriculture","\u003Cp style=\"text-align:justify;\">This special session will explore innovative sensing technologies and data integration methods aimed at advancing sustainable precision agriculture. Proposed talks will cover energy-autonomous wireless sensors for post-harvest fruit storage, low-power circuits for plant monitoring, and integrated data-driven systems for crop yield prediction and circular dairy production. Additionally, novel communication architectures for agricultural IoT will be discussed. The presentations are from multidisciplinary research teams, integrating expertise from the domains of electrical engineering, data science, and food and agricultural science, aimed to offer fresh insights into the application of circuits in the evolution of sustainable and efficient food systems.\u003C/p>",{"id":1338,"heading":1683,"prose":1684},"Emerging AI-driven Visual Computing and Multimodal Learning for Real-world Applications","\u003Cp style=\"text-align:justify;\">AI-driven visual computing and multimodal learning are exciting fields that combine computer graphics, vision, and image processing to enable machines to generate, manipulate, and understand visual data. Multimodal learning integrates information from various sources, such as images, text, speech, and sensor data, to build a comprehensive understanding of the world. This special session presents the latest developments and breakthroughs in these fields, inviting researchers and professionals to contribute high-quality, unpublished, and original research papers on these timely and important topics, as they have a profound impact on real-world applications.\u003C/p>\u003Cp>Topics of interest include, but are not limited to:\u003C/p>\u003Cul>\u003Cli style=\"text-align:justify;\">AI-powered visual signal computing in Circuits and Systems.\u003C/li>\u003Cli style=\"text-align:justify;\">Data acquisition and processing of visual multimedia data, e.g., image/video, light field, 360 video, multi-view, and AI based generated content (AIGC).\u003C/li>\u003Cli style=\"text-align:justify;\">Visual computing techniques and applications, e.g., low-level NeRF scene rendering, Diffusion data synthesis/generation, video compression, point cloud reconstruction, and super-resolution, etc.; and high-level object detection, tracking, and human object interaction, etc.\u003C/li>\u003Cli style=\"text-align:justify;\">Multiple sensory and data sources processing, e.g., RGB, point cloud, Spectral, LiDAR data registration, segmentation, fusion, and reconstruction, etc.\u003C/li>\u003Cli style=\"text-align:justify;\">Multiple modalities processing and applications, e.g., large language/vision model driven cross-modal understanding, ChatGPT, Llama, Segment Anything Model (SAM), etc.\"\u003C/li>\u003C/ul>",{"id":1360,"heading":1686,"prose":1687},"Emerging Theory and Applications of Memristive Devices, Circuits, Systems and Architectures","\u003Cp style=\"text-align:justify;\">Memristive devices have the potential to revolutionize the design of circuits, systems, and architectures, offering a powerful avenue for developing the next-generation computing systems. These devices, which possess resistive switching capabilities, can be a key enablers of efficient in-memory computing, neuromorphic systems, and ultra-efficient AI accelerators. Coupled with recent advances in open-source design tools, generative AI techniques, and chiplet-based architectures, memristive technologies promise to significantly enhance the scalability, efficiency, and performance of complex computing systems. This special session will examine their theory, applications and implementation. The session will also highlight the potential of these emerging technologies to democratize hardware innovation and accelerate research and development across multiple applications and domains.\u003C/p>",{"id":1372,"heading":1689,"prose":1690},"Emerging Thin-Film Circuit Techniques for Sensor Signal Conditioning and New Computing Paradigms","\u003Cp style=\"text-align:justify;\">Thin-film transistor (TFT) usage is broadening from traditional displays to numerous sensing, control and user interface applications and to energy-efficient, beyond-digital information processing techniques. This special session covers recent advances in circuit techniques specific to TFT implementations. Sucha approaches borrow from a long history of design but adapt advantageously to both the limitations imposed and the variety of materials conferred by thin-film fabrication, for cost-effective and energy-efficient applications. Attendees will be exposed to a variety of perspectives from academia and industry, and to technologies with different levels of maturity, stimulating discussion and further progress.\u003C/p>",{"id":1406,"heading":1692,"prose":1693},"Intelligent, Connected and Self-Powered Internet of Bodies (IoB) for Next-generation Wearables and Implants","\u003Cp style=\"text-align:justify;\">Over the past decade, wearable and implantable technologies have made remarkable strides, showing great promise in revolutionizing the healthcare industry. The future of these technologies lies in next-generation wearables and implants, which are expected to feature networks of interconnected sensors and actuators. These systems will enable closed-loop operations, such as automated drug delivery and neuromodulation, driving significant interest in the concept of the \"\"Internet of Bodies\"\" (IoB). IoB envisions an interconnected network of devices that not only collect, analyze, and transmit personal health data but also perform complex tasks such as domain-specific classification of data, and administering necessary medications in real-time. These devices range from wearables like continuous glucose monitors, biosensors, and smartwatches, to implants such as brain-machine interfaces and pacemakers, and even ingestible technologies like camera pills.\u003C/p>\u003Cp style=\"text-align:justify;\">This special session is targeted toward exploring the latest advancements, trends, opportunities, and challenges in next-generation wearables and implants for IoB, and to discuss their transformative impact on healthcare, including diagnostics, assistive technologies, and therapeutic applications.\u003C/p>",{"id":238,"heading":1695,"prose":1696},"Large Language Model (LLM) Applications in Circuit Design and Security","\u003Cp style=\"text-align:justify;\">Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized various fields. With the recent advancements in large language models (LLMs) such as GPT and their applications across different domains, including hardware design, this special session will explore the transformative role of LLM in the design and optimization of analog and digital circuits and systems. The session will focus on the potential, practical implementation, and limitations of these technologies. Topics covered will include LLM-driven design automation, predictive modeling, benchmarking, optimization techniques, and innovative methodologies that integrate LLMs into both traditional and emerging circuit design workflows. Attendees will gain insights into how AI is reshaping the landscape of circuits and systems, offering new paradigms for efficiency, precision, and innovation.\u003C/p>",{"id":535,"heading":1698,"prose":1699},"Low-power Circuits and Systems for IoE: from Sensing, Communication to Smart Healthcare","\u003Cp style=\"text-align:justify;\">The Internet of Things (IoT) has transformed the way physical 'smart' devices collect, transmit, and analyze data in real time, with expanded capabilities to interact with both objects and human. The convergence and advancement of sensing, wireless low-power radio, and ambient energy harvesting technologies, along with CMOS scaling, have expanded IoT capabilities into the medical field, giving rise to the Internet of Medical Things (IoMT). This special session will cover recent advances in circuits and systems that tackle the challenges of SoC\u003Cbr>integration for sensing, wireless power, and data transfer, aimed at developing energy-efficient, miniaturized wearable or ingestible devices for multi-modal health monitoring.\u003C/p>",{"id":620,"heading":1701,"prose":1702},"Machine Learning and Circuit Design for Reliability and Optimization","\u003Cp style=\"text-align:justify;\">State-of-the-art circuits and systems are becoming more complex and as a result reliability and optimization have become increasingly crucial, particularly in critical applications such as automotive systems and next-generation processors. Machine Learning (ML) models are able to model the complex and nonlinear behavior of circuits to predict failures with high accuracy, which has led to increased efficiency and robustness of the design process for both analog and digital circuits. This special session will explore the application of ML techniques for optimizing and increasing the reliability of circuit designs. Topics include ML-driven analog circuit design automation, fault detection in automotive SoCs, and reliability modeling from transistors to processors. This session demonstrates how ML enhances the robustness, efficiency, and reliability of circuits leveraging advanced approaches like Graph Neural Networks (GNN) and Generative Adversarial Networks (GANs). Attendees will gain insights into how these methods have transformed circuit design and reliability in modern electronic systems.\u003C/p>",{"id":259,"heading":1704,"prose":1705},"Machine Learning at the Edge","\u003Cp style=\"text-align:justify;\">This session explores advancements in machine learning edge circuits and systems for autonomous systems, healthcare, and IoT applications. Emphasizing low-power, energy-efficient designs, the session will showcase novel devices, circuits, and architectures that enable real-time processing and intelligent decision-making at the edge, including neuromorphic computing and deep-learning concepts. Attendees will gain insights into how these technologies are pushing the boundaries of edge computing, driving transformative innovations that are crucial for next-generation systems requiring high reliability, low-power consumption, and low latency.\u003C/p>",{"id":280,"heading":1707,"prose":1708},"ML/AI Analog & Hybrid Computing: New Paradigms and Applications","\u003Cp style=\"text-align:justify;\">Machine learning (ML) algorithms have become a cornerstone in data science, finding application across a wide range of fields. Implementing ML on hardware devices can significantly lower computational expenses while enabling real-time processing of raw data directly from sensors. While most ML hardware applications are typically realized through digital electronic circuits, the development of analog circuits for ML is gaining traction. This approach offers the potential for ultra-low power consumption paired with extremely rapid signal processing. Incorporating analog ML modules into various devices (e.g., in the biomedical field) can eliminate\u003Cbr>the need for unnecessary data transmission to cloud services or other devices, conserving both energy and time.\u003C/p>\u003Cp style=\"text-align:justify;\">This Special Session on “ML/AI Analog & Hybrid Computing: New Paradigms and Applications” seeks original research articles and in-depth reviews on the design and implementation of hardware ML modules that effectively handle processing of signals from both wearable and non-wearable devices (e.g., in biomedical applications), aimed at a variety of uses such as classification, signal conditioning, regression, and pattern recognition. Topics of interest for this Special Session include, but are not limited to:\u003C/p>\u003Cul>\u003Cli style=\"text-align:justify;\">Analog, digital, or mixed-signal IC architectures for low-power predictive systems\u003C/li>\u003Cli style=\"text-align:justify;\">Analog, digital, or mixed-signal IC architectures for feature extraction\u003C/li>\u003Cli style=\"text-align:justify;\">Circuit design for data pre-processing\u003C/li>\u003Cli style=\"text-align:justify;\">On-memory computing devices\u003C/li>\u003Cli style=\"text-align:justify;\">Low-power wake-up circuits\u003C/li>\u003Cli style=\"text-align:justify;\">Neuromorphic circuits and systems for ML applications\u003C/li>\u003Cli style=\"text-align:justify;\">Sensor systems inspired by biological models for ML applications\u003C/li>\u003Cli style=\"text-align:justify;\">Low-cost device prototypes for pattern recognition.\u003C/li>\u003C/ul>\u003Cp style=\"text-align:justify;\">This Special Session aims in bringing together expertise and in attracting new ideas and solutions in the field of analog, digital and neuromorphic architectures with emphasis in modern ML applications.\u003C/p>",{"id":232,"heading":1710,"prose":1711},"Nanocomputing: Disruptive Nanotechnologies for Future Computing Systems","\u003Cp style=\"text-align:justify;\">As the era of CMOS technology approaches its physical limits, the field of nanocomputing has emerged as a critical frontier for the development of next-generation computing systems. This special session will explore disruptive nanotechnologies that enable the design and implementation of ultra-efficient, highly scalable, and multifunctional computing architectures. The session will highlight key advancements in spintronics, memristive circuits, and hybrid nanoscale devices, all of which promise to redefine the boundaries of computing performance and energy efficiency. Specific focus will be given to novel implementations such as in-memory computing accelerators, stochastic and neuromorphic circuits, and mycelium-based memristive systems, which are pushing the envelope of what is possible at the nanoscale. The session will gather leading researchers and industry experts to discuss these emerging technologies, their potential applications, and the future directions of nanocomputing in a post-Moore's Law landscape.\u003C/p>",{"id":448,"heading":1713,"prose":1714},"Neuromorphic Technology for Intelligent Edge Computing","\u003Cp style=\"text-align:justify;\">Biological brains are increasingly taken as a guide toward more eƯicient forms of computing. The latest frontier considers the use of spiking neural-network-based neuromorphic processors to augment near-sensor (i.e., edge) data processing devices with elements of intelligence, while at the same time meeting their tight power and resource budgets. High potential use cases include smart sensors, neuromorphic robots or autonomous vehicles. This special session brings together novel technical contributions to edge neuromorphic computing, a field which is admittedly still in the early stage of development due its unique challenges with respect to the historical large-scale neuromorphic platforms targeting neuroscience simulation.\u003C/p>",{"id":252,"heading":1716,"prose":1717},"Optical Wireless Communication and Sensing Technologies for Coming of All-Photonics Networks Era","\u003Cp style=\"text-align:justify;\">This special session focuses on optical wireless communication and sensing technologies that are particularly important for realizing all-photonics networks (APNs) and discusses the latest circuit and system implementations for these technologies. APNs are expected to be a technology that can reduce the explosive increase in data volume and associated network load that is currently problematic. To realize APNs and widely spread them in society, it is essential to develop and implement the circuits and systems that operate the devices, which serve as the fundamental technology. The session proposers believe that a new industry will be created by discussing this as one of the topics of ISCAS.\u003C/p>",{"id":273,"heading":1719,"prose":1720},"Passive-inspired RF and mm-Wave Circuit Design for 5G and Beyond","\u003Cp style=\"text-align:justify;\">RF/millimeter-wave circuits are playing vital roles in the front-end chains of emerging wireless communication and sensing systems. These circuits with different functionalities have been recently explored for both on-chip and off-chip implementations, including amplifiers, filters, oscillators, etc. The proposed special session will discuss several multifunctional circuits with state-of-the-art performance for different applications. We expect to have 6 submissions (which can be reduced to 5 papers) in this special session from different well-known researchers around the world, which will cover not only the design of advanced RF multi-functional passive components, such as advanced coupler architectures and advanced filtering components with additional co-integrated RF-signal-processing capabilities but also linear and non-linear active circuits that may use either novel electromagnetic passive structures or design methodologies to fulfill different design specifications.\u003C/p>",{"id":295,"heading":1722,"prose":1723},"Power-Electronics-Penetrated Green-Power Grids From the Nonlinear Circuits and Systems Perspective","\u003Cp style=\"text-align:justify;\">This special session aims to inspire innovative ideas and showcase the latest research achievements in a highly relevant field associated with the green transition. The noticeable shift from power generation dominated by synchronous generators to smart grids dominated by renewable-based distributed generation underscores an irreversible and rapidly advancing trend. This trend serves as the fundamental groundwork for the expansion of\u003Cbr>power electronics-integrated green power grids. The effects of this transition impact everyone, and its success will bring benefits not only to daily life but also to numerous emerging innovation themes with high energy demands. In this context, researchers and scholars from diverse backgrounds are encouraged to contribute their expertise. We invite researchers and scholars from various disciplines to make their valuable contributions. The IEEE CASS \"\"Nonlinear Circuits and Systems\"\" (NCAS) and \"\"Power and Energy Circuits and Systems\"\" (PECAS) communities explicitly demonstrate their active involvement in this field by proposing this special session. Prospective authors are invited to submit original contributions in this special session. Topics of interest include (but are not limited to):\u003C/p>\u003Cul>\u003Cli style=\"text-align:justify;\">efficient simulation of Inverter-Based Resources (IBR)-dominated networks\u003C/li>\u003Cli style=\"text-align:justify;\">reduction techniques for IBR-dominated networks\u003C/li>\u003Cli style=\"text-align:justify;\">stability analysis of IBR-dominated networks\u003C/li>\u003Cli style=\"text-align:justify;\">transient stability, small-signal stability, frequency stability, and voltage stability in IBR-dominated networks\u003C/li>\u003Cli style=\"text-align:justify;\">(virtual) inertia estimation in IBR-dominated networks\u003C/li>\u003Cli style=\"text-align:justify;\">low voltage ride-through\u003C/li>\u003Cli style=\"text-align:justify;\">sub-synchronous and inter-area oscillations due to IBR\u003C/li>\u003Cli style=\"text-align:justify;\">simulation models for failure cascade propagation in IBR-dominated networks\u003C/li>\u003Cli style=\"text-align:justify;\">simulation and prediction of outage events aggravated by power-electronics penetration\u003C/li>\u003Cli style=\"text-align:justify;\">assessment methods for IBR-dominated network robustness\u003C/li>\u003Cli style=\"text-align:justify;\">analysis of effects of network structure and distribution of IBR\u003C/li>\u003Cli style=\"text-align:justify;\">failure-events modelling under natural causes (e.g., extreme weather), attacks, component aging, etc.\u003C/li>\u003Cli style=\"text-align:justify;\">mitigation methods against cascading failure in IBR-dominated networks\u003C/li>\u003Cli style=\"text-align:justify;\">applications of AI methods for data aggregation, analysis and prediction of failure events\u003C/li>\u003Cli style=\"text-align:justify;\">black start from a black-out supported by IBR\"\u003C/li>\u003C/ul>",{"id":554,"heading":1725,"prose":1726},"Scaling Next-Generation Quantum Computers: From Hardware to Software","\u003Cp style=\"text-align:justify;\">The special session proposed here will focus on the aspects of quantum computation and quantum information that are most relevant to the ISCAS community. More precisely, the session will include topics related to the physical implementation of the quantum computing hardware, along with some examples of quantum logical operations that can be performed using several logical qubits. Moreover, the rest of the talks will highlight the importance of building electronic devices and circuits capable of operating at cryogenic temperatures and will\u003Cbr>present the current progress on their on-chip co-integration with the qubit system.\u003C/p>",{"id":342,"heading":1728,"prose":1729},"Security Threats and Countermeasures for Advanced Health-monitoring Systems","\u003Cp style=\"text-align:justify;\">The cohort formed in this special session will provide an overview of emerging security challenges encountered in advanced health-monitoring systems such as authentication in edge devices, privacy issues, and integrity of medical devices. To ensure the security and trustworthiness of health-monitoring systems, speakers will present state-of-the-art countermeasures against information leaking and device tampering, efficient implementation of post-quantum cryptographic algorithms, quantum machine learning, and software level threat analysis. The invited talks will cover a full stack of health-monitoring system, from device, security primitive, system architecture, design framework, all the way to application software. Furthermore, this special session will brainstorm promising research directions for secure health-monitoring systems.\u003C/p>",{"id":362,"heading":1731,"prose":1732},"Ultra-Low-Power ICs enabling battery-less Sensor Nodes","\u003Cp style=\"text-align:justify;\">Rapid technological improvement in the semiconductor industry has resulted in a boom in small devices. An electronic device that dramatically reduces its power consumption and can be powered by an alternative green energy source enabling the vision of the Internet of Things (IoT) represents a real challenge. The possibility of providing a reliable “green” transduced power to innovative Ultra-low Power and energy-efficient IC solutions will significantly reduce the amount of batteries being used and disposed.\u003C/p>\u003Cp style=\"text-align:justify;\">In fact, having ICs operating at lower and lower supply voltages is driven by the will to minimize the energy per logic operation as Ultra-Low voltages ICs reduce the overall power consumption of any electronic system. Thus, such ultra-low voltage circuits can be harvested by thermal, electrochemical photovoltaic sources of energy as these are able to supply voltages in the order of hundreds of mV avoiding bulky batteries.\u003C/p>\u003Cp style=\"text-align:justify;\">The target of this Special session is to show ICs that can be powered by a few hundred mV and are able to operate under an aggressive voltage scaling. This is in order to enable IoT sensor nodes to be powered by a renewable source of harvested energy.\u003C/p>",{"data":1734,"meta":1740},{"id":1360,"heading":1639,"createdAt":1735,"updatedAt":1736,"publishedAt":1737,"url_path_id":1738,"url_path":1739,"contentType":78},"2024-09-09T14:48:43.566Z","2025-01-14T19:19:58.829Z","2024-09-09T15:16:26.195Z","254","/special-sessions-old",{},1778852848907]