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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. &nbsp;We work with experts and thought leaders to deliver timely, relevant, and peer-reviewed resources. 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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":259,"heading":253,"pageHeader":1639,"sections":1641},{"id":259,"description":1640,"showPageHeader":8,"backgroundColor":49,"image":16}," ",[1642],{"id":47,"__component":1643,"componentVariation":1644,"contactsVariation":1645,"styles":16,"header":16,"sessionsGroup":1646},"content.sessions","Sessions Base","Card Contact Full",[1647],{"id":47,"groupTitle":16,"sessions":1648},[1649,1742,1870,1975,2062,2150,2238,2325,2414,2504,2593],{"id":254,"session":1650},{"id":357,"title":1651,"teaser":1652,"body":1653,"createdAt":1654,"updatedAt":1655,"publishedAt":1656,"url_path_id":1657,"contacts":1658,"url_path":1741},"A Hands-On Introduction to Quantum Machine Learning and Quantum Architecture Search","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 8:30 - 12:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">Participants will engage deeply with quantum machine learning (QML) and quantum architecture search (QAS) through interactive, hands-on sessions leveraging open-source quantum computer simulator such as Qiskit and PennyLane, with a specific focus on both computational intelligence applications and quantum circuit design. This tutorial provides a comprehensive learning experience, starting with foundational concepts in quantum information science (QIS), such as qubits and quantum gates, and advancing to key methodologies in QML and quantum circuit optimization. Attendees will explore a variety of QML models, including quantum neural networks (QNN), quantum convolutional neural networks (QCNN) and quantum recurrent neural networks (QRNN), with a focus on their application to AI/ML. In parallel, participants will dive into QAS techniques, which focus on discovering and optimizing quantum circuit architectures for these models, improving both performance and resource efficiency.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">The tutorial will culminate in practical coding demonstrations where participants will not only apply quantum-enhanced techniques to QML problems but also optimize quantum circuits using QAS methods to solve complex problems in AI/ML. By working through these exercises, attendees will gain hands-on experience with both quantum machine learning and the process of optimizing quantum circuits for specific tasks. Geared toward those with a basic understanding of machine learning and computational intelligence, this session is designed to be a stepping stone into the emerging fields of quantum machine learning and quantum architecture search. Participants will leave with the knowledge and tools to integrate QML and QAS into their own research and applications, exploring the future potential of quantum-enhanced systems.\u003C/p>","2024-11-25T17:18:07.132Z","2025-01-24T16:52:23.044Z","2024-11-25T17:18:10.323Z","295",[1659,1700],{"id":1660,"name":1661,"committee":16,"position":16,"affiliation":1662,"email":16,"biography":44,"createdAt":1663,"updatedAt":1664,"url_path_id":1665,"contactPhoto":1666,"socialLinks":1695,"url_path":1699},200,"Samuel Yen-Chi Chen","Wells Fargo Bank, USA","2024-11-25T17:14:59.135Z","2024-11-25T17:15:07.056Z","293",{"id":1667,"name":1668,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":1670,"hash":1691,"ext":19,"mime":20,"size":1692,"url":1693,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1694,"updatedAt":1694},226,"Samuel Yen-Chi Chen.png",1755,{"large":1671,"small":1676,"medium":1681,"thumbnail":1686},{"ext":19,"url":1672,"hash":1673,"mime":20,"name":1674,"path":16,"size":1675,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Samuel_Yen_Chi_Chen_24a6b936ac.png","large_Samuel_Yen_Chi_Chen_24a6b936ac","large_Samuel Yen-Chi Chen.png",1293.19,{"ext":19,"url":1677,"hash":1678,"mime":20,"name":1679,"path":16,"size":1680,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Samuel_Yen_Chi_Chen_24a6b936ac.png","small_Samuel_Yen_Chi_Chen_24a6b936ac","small_Samuel Yen-Chi Chen.png",349.83,{"ext":19,"url":1682,"hash":1683,"mime":20,"name":1684,"path":16,"size":1685,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Samuel_Yen_Chi_Chen_24a6b936ac.png","medium_Samuel_Yen_Chi_Chen_24a6b936ac","medium_Samuel Yen-Chi Chen.png",750.93,{"ext":19,"url":1687,"hash":1688,"mime":20,"name":1689,"path":16,"size":1690,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Samuel_Yen_Chi_Chen_24a6b936ac.png","thumbnail_Samuel_Yen_Chi_Chen_24a6b936ac","thumbnail_Samuel Yen-Chi Chen.png",37.64,"Samuel_Yen_Chi_Chen_24a6b936ac",775.76,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Samuel_Yen_Chi_Chen_24a6b936ac.png","2024-11-25T17:14:12.851Z",[1696],{"id":1697,"url":1698,"platform":42},677,"https://www.linkedin.com/in/samuel-yen-chi-chen","-173",{"id":1701,"name":1702,"committee":16,"position":16,"affiliation":1703,"email":16,"biography":44,"createdAt":1704,"updatedAt":1705,"url_path_id":1706,"contactPhoto":1707,"socialLinks":1735,"url_path":1740},201,"Zhiding Liang","Rensselaer Polytechnic Institute (RPI), USA","2024-11-25T17:15:50.219Z","2024-11-25T17:16:30.242Z","294",{"id":1708,"name":1709,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":1710,"hash":1731,"ext":19,"mime":20,"size":1732,"url":1733,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1734,"updatedAt":1734},227,"Zhiding Liang.png",{"large":1711,"small":1716,"medium":1721,"thumbnail":1726},{"ext":19,"url":1712,"hash":1713,"mime":20,"name":1714,"path":16,"size":1715,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Zhiding_Liang_62738f7885.png","large_Zhiding_Liang_62738f7885","large_Zhiding Liang.png",1226.14,{"ext":19,"url":1717,"hash":1718,"mime":20,"name":1719,"path":16,"size":1720,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Zhiding_Liang_62738f7885.png","small_Zhiding_Liang_62738f7885","small_Zhiding Liang.png",356.09,{"ext":19,"url":1722,"hash":1723,"mime":20,"name":1724,"path":16,"size":1725,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Zhiding_Liang_62738f7885.png","medium_Zhiding_Liang_62738f7885","medium_Zhiding Liang.png",729.46,{"ext":19,"url":1727,"hash":1728,"mime":20,"name":1729,"path":16,"size":1730,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Zhiding_Liang_62738f7885.png","thumbnail_Zhiding_Liang_62738f7885","thumbnail_Zhiding Liang.png",43.52,"Zhiding_Liang_62738f7885",769.54,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Zhiding_Liang_62738f7885.png","2024-11-25T17:16:27.682Z",[1736],{"id":1737,"url":1738,"platform":1739},678,"https://science.rpi.edu/faculty/zhiding-liang","Website","-174","-175",{"id":275,"session":1743},{"id":127,"title":1744,"teaser":1745,"body":1746,"createdAt":1747,"updatedAt":1748,"publishedAt":1749,"url_path_id":1750,"contacts":1751,"url_path":1869},"Algorithmic Analog and RF Circuit Design: A Steppingstone Toward Analog Automation","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 8:30 - 12:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">This tutorial aims to present the most recent advancements in the field of systematic analog and RF IC design. The goal is to enrich designers' insights and enhance their eBiciency in the algorithmic design of analog circuits. Moreover, fundamental design and modeling algorithms will be exploited to develop design automation tools, a highly demanding topic in today's IC design industry.\u003C/p>","\u003Cp style=\"text-align:justify;\">This tutorial will be oBered in two sections: In the first part, advanced topics in device modeling and design techniques based on the inversion-coeBicient approach will be detailed. Various examples, including analog and RF circuits operating at room and cryogenic temperatures will be provided. In the second part, the topic of design-oriented device modeling and design will be covered. Using recently developed techniques, such as C/ID, the development of low computational complexity design algorithms will be discussed. A wide range of examples will illustrate the possibility of designing multi-variable problems with constraints on speed, noise, power, and linearity. 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Taris.png",{"large":1762,"small":1767,"medium":1772,"thumbnail":1777},{"ext":19,"url":1763,"hash":1764,"mime":20,"name":1765,"path":16,"size":1766,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Thierry_Taris_4994bf37b3.png","large_Thierry_Taris_4994bf37b3","large_Thierry Taris.png",2193.39,{"ext":19,"url":1768,"hash":1769,"mime":20,"name":1770,"path":16,"size":1771,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Thierry_Taris_4994bf37b3.png","small_Thierry_Taris_4994bf37b3","small_Thierry Taris.png",572,{"ext":19,"url":1773,"hash":1774,"mime":20,"name":1775,"path":16,"size":1776,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Thierry_Taris_4994bf37b3.png","medium_Thierry_Taris_4994bf37b3","medium_Thierry Taris.png",1258.43,{"ext":19,"url":1778,"hash":1779,"mime":20,"name":1780,"path":16,"size":1781,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Thierry_Taris_4994bf37b3.png","thumbnail_Thierry_Taris_4994bf37b3","thumbnail_Thierry Taris.png",61.72,"Thierry_Taris_4994bf37b3",1569.68,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Thierry_Taris_4994bf37b3.png","2024-11-25T17:19:29.182Z",[1787],{"id":1788,"url":1789,"platform":42},679,"https://fr.linkedin.com/in/thierry-taris-295a0013","-176",{"id":1792,"name":1793,"committee":16,"position":16,"affiliation":1794,"email":16,"biography":44,"createdAt":1795,"updatedAt":1795,"url_path_id":1796,"contactPhoto":1797,"socialLinks":1825,"url_path":1829},204,"Christian Enz","EPFL, Switzerland","2024-11-25T17:22:49.022Z","299",{"id":1798,"name":1799,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":1800,"hash":1821,"ext":19,"mime":20,"size":1822,"url":1823,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1824,"updatedAt":1824},230,"Christian Enz.png",{"large":1801,"small":1806,"medium":1811,"thumbnail":1816},{"ext":19,"url":1802,"hash":1803,"mime":20,"name":1804,"path":16,"size":1805,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Christian_Enz_be48f3b122.png","large_Christian_Enz_be48f3b122","large_Christian Enz.png",2117.11,{"ext":19,"url":1807,"hash":1808,"mime":20,"name":1809,"path":16,"size":1810,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Christian_Enz_be48f3b122.png","small_Christian_Enz_be48f3b122","small_Christian Enz.png",559.59,{"ext":19,"url":1812,"hash":1813,"mime":20,"name":1814,"path":16,"size":1815,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Christian_Enz_be48f3b122.png","medium_Christian_Enz_be48f3b122","medium_Christian Enz.png",1216.65,{"ext":19,"url":1817,"hash":1818,"mime":20,"name":1819,"path":16,"size":1820,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Christian_Enz_be48f3b122.png","thumbnail_Christian_Enz_be48f3b122","thumbnail_Christian Enz.png",61.61,"Christian_Enz_be48f3b122",1390.93,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Christian_Enz_be48f3b122.png","2024-11-25T17:22:46.266Z",[1826],{"id":1827,"url":1828,"platform":1739},681,"https://people.epfl.ch/christian.enz?lang=en","-179",{"id":1831,"name":1832,"committee":16,"position":16,"affiliation":1833,"email":16,"biography":44,"createdAt":1834,"updatedAt":1834,"url_path_id":1835,"contactPhoto":1836,"socialLinks":1864,"url_path":1868},203,"Armin Tajalli","University of Utah, USA","2024-11-25T17:20:42.496Z","297",{"id":1837,"name":1838,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":1839,"hash":1860,"ext":19,"mime":20,"size":1861,"url":1862,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1863,"updatedAt":1863},229,"9.png",{"large":1840,"small":1845,"medium":1850,"thumbnail":1855},{"ext":19,"url":1841,"hash":1842,"mime":20,"name":1843,"path":16,"size":1844,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_9_c1e374c15f.png","large_9_c1e374c15f","large_9.png",1510.42,{"ext":19,"url":1846,"hash":1847,"mime":20,"name":1848,"path":16,"size":1849,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_9_c1e374c15f.png","small_9_c1e374c15f","small_9.png",362.56,{"ext":19,"url":1851,"hash":1852,"mime":20,"name":1853,"path":16,"size":1854,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_9_c1e374c15f.png","medium_9_c1e374c15f","medium_9.png",833.45,{"ext":19,"url":1856,"hash":1857,"mime":20,"name":1858,"path":16,"size":1859,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_9_c1e374c15f.png","thumbnail_9_c1e374c15f","thumbnail_9.png",40.48,"9_c1e374c15f",1116.81,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/9_c1e374c15f.png","2024-11-25T17:20:27.879Z",[1865],{"id":1866,"url":1867,"platform":1739},680,"https://faculty.utah.edu/u6013939-ARMIN_TAJALLI/research/index.hml","-177","-178",{"id":297,"session":1871},{"id":650,"title":1872,"teaser":1873,"body":44,"createdAt":1874,"updatedAt":1875,"publishedAt":1876,"url_path_id":1877,"contacts":1878,"url_path":1974},"Chiplets and 2.5D Integration for Machine Perception and Machine Intelligence at the Edge","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 8:30 - 12:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">Chiplets and 2.5D integration is an elegant solution for integrating a heterogeneous mix of components to reduce footprint, increase signal speed, and reduce power. Designing a 2.5D device is much faster and easier than designing a conventional system-on-chip (SoC) because it can use existing components. Modifying the design can be as simple as swapping out one component for another – an enormous benefit in IP reuse and in cost and risk reduction. In this three-part tutorial we will first introduce the audience to the technology foundations and industry standards for advanced 2.5D integration and packaging using chiplets [1,2]. The technology introduction is followed by two examples highlighting the system co-design using 2.5D and chiplets. The first is an advanced RF chiplet based active antenna using reconfigurable metasurfaces [3] which are man-made surfaces, which consist of sub-wavelength periodic elements—meta-atoms—that can be reconfigured to manipulate incoming electromagnetic waves. The second example is an architecture for real-time processing of data that originates in large format tiled imaging arrays used in wide area motion imagery ubiquitous surveillance [4].\u003C/p>","2024-11-25T17:33:39.930Z","2025-01-24T16:54:05.894Z","2024-11-25T17:33:42.163Z","309",[1879,1902,1928],{"id":1880,"name":1881,"committee":16,"position":16,"affiliation":1882,"email":16,"biography":44,"createdAt":1883,"updatedAt":1884,"url_path_id":1885,"contactPhoto":1886,"socialLinks":1897,"url_path":1901},209,"Andreas G. Andreou","Johns Hopkins University, USA","2024-11-25T17:30:58.751Z","2024-12-17T17:15:41.052Z","306",{"id":661,"name":1887,"alternativeText":16,"caption":16,"width":1624,"height":1624,"formats":1888,"hash":1894,"ext":781,"mime":784,"size":147,"url":1895,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1896,"updatedAt":1896},"andreas-andreou-sq-300x300.jpg",{"thumbnail":1889},{"ext":781,"url":1890,"hash":1891,"mime":784,"name":1892,"path":16,"size":1893,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_andreas_andreou_sq_300x300_c5bc4de4b4.jpg","thumbnail_andreas_andreou_sq_300x300_c5bc4de4b4","thumbnail_andreas-andreou-sq-300x300.jpg",5.83,"andreas_andreou_sq_300x300_c5bc4de4b4","https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/andreas_andreou_sq_300x300_c5bc4de4b4.jpg","2024-12-17T17:15:38.712Z",[1898],{"id":1899,"url":1900,"platform":1739},686,"https://engineering.jhu.edu/ece/faculty/andreas-andreou/","-186",{"id":1903,"name":1904,"committee":16,"position":16,"affiliation":1905,"email":16,"biography":44,"createdAt":1906,"updatedAt":1907,"url_path_id":1908,"contactPhoto":1909,"socialLinks":1923,"url_path":1927},210,"Julius Georgiou","University of Cyprus, Cyprus","2024-11-25T17:31:50.107Z","2024-11-25T17:41:33.731Z","307",{"id":1076,"name":1910,"alternativeText":16,"caption":16,"width":1660,"height":1911,"formats":1912,"hash":1919,"ext":781,"mime":784,"size":1920,"url":1921,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1922,"updatedAt":1922},"Julius Georgiou.jpg",275,{"thumbnail":1913},{"ext":781,"url":1914,"hash":1915,"mime":784,"name":1916,"path":16,"size":1917,"width":1918,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Julius_Georgiou_faf756a11e.jpg","thumbnail_Julius_Georgiou_faf756a11e","thumbnail_Julius Georgiou.jpg",4.41,113,"Julius_Georgiou_faf756a11e",12.06,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Julius_Georgiou_faf756a11e.jpg","2024-04-09T19:16:55.110Z",[1924],{"id":1925,"url":1926,"platform":1739},687,"https://www.ucy.ac.cy/directory/en/profile/julio","-187",{"id":1929,"name":1930,"committee":16,"position":16,"affiliation":1931,"email":16,"biography":44,"createdAt":1932,"updatedAt":1933,"url_path_id":1934,"contactPhoto":1935,"socialLinks":1969,"url_path":1973},211,"Bob Patti","NHanced Semiconductors","2024-11-25T17:32:45.442Z","2024-12-17T17:15:27.592Z","308",{"id":1936,"name":1937,"alternativeText":16,"caption":16,"width":1938,"height":1939,"formats":1940,"hash":1965,"ext":781,"mime":784,"size":1966,"url":1967,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":1968,"updatedAt":1968},247,"RobertPatti.jpg",1232,1228,{"large":1941,"small":1947,"medium":1953,"thumbnail":1959},{"ext":781,"url":1942,"hash":1943,"mime":784,"name":1944,"path":16,"size":1945,"width":787,"height":1946},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Robert_Patti_77d95d5b03.jpg","large_Robert_Patti_77d95d5b03","large_RobertPatti.jpg",73.94,997,{"ext":781,"url":1948,"hash":1949,"mime":784,"name":1950,"path":16,"size":1951,"width":736,"height":1952},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Robert_Patti_77d95d5b03.jpg","small_Robert_Patti_77d95d5b03","small_RobertPatti.jpg",27.05,498,{"ext":781,"url":1954,"hash":1955,"mime":784,"name":1956,"path":16,"size":1957,"width":743,"height":1958},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Robert_Patti_77d95d5b03.jpg","medium_Robert_Patti_77d95d5b03","medium_RobertPatti.jpg",49.25,748,{"ext":781,"url":1960,"hash":1961,"mime":784,"name":1962,"path":16,"size":1963,"width":1964,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Robert_Patti_77d95d5b03.jpg","thumbnail_Robert_Patti_77d95d5b03","thumbnail_RobertPatti.jpg",4.42,157,"Robert_Patti_77d95d5b03",64.13,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Robert_Patti_77d95d5b03.jpg","2024-12-17T17:15:25.243Z",[1970],{"id":1971,"url":1972,"platform":1739},688,"https://nhanced-semi.com/about/bob-patti-president-founder/","-188","-189",{"id":317,"session":1976},{"id":397,"title":1977,"teaser":1978,"body":1979,"createdAt":1980,"updatedAt":1981,"publishedAt":1982,"url_path_id":1983,"contacts":1984,"url_path":2061},"Communication and Control System Perspectives on Security and Reliability of the Internet of Things (IoT)","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 8:30 - 12:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">The security and reliability of the Internet of Things (IoT) devices is critical as they are increasingly integrated into more complex and safety-critical systems, such as for example in healthcare for continuous monitoring and patient management, the Internet of Medical Things (IoMT). The importance of addressing these issues lies at the intersection of communication systems and control systems, which are essential for ensuring both the reliability of transmitted data and the control algorithms responsible for device functionality.\u003C/p>","\u003Cp style=\"text-align:justify;\">This tutorial will provide essential insights for designers of sensors and devices, such as wearable medical devices, to understand the critical importance of addressing vulnerabilities from the design stage, addressing the communication and control challenges in IoT devices, oFering the ISCAS community critical insights into both fields. The focus will be on identifying vulnerabilities, such as those revealed in common attacks, and exploring multilayered cyber-physical security strategies. Participants will gain an understanding of how to mitigate risks while ensuring robust communication and control mechanisms.\u003C/p>","2024-11-25T17:26:16.725Z","2025-01-24T16:55:18.516Z","2024-11-25T17:26:19.420Z","302",[1985,2024],{"id":1986,"name":1987,"committee":16,"position":16,"affiliation":1988,"email":16,"biography":44,"createdAt":1989,"updatedAt":1989,"url_path_id":1990,"contactPhoto":1991,"socialLinks":2019,"url_path":2023},205,"Anna Maria Mandalari","University College London (UCL), UK","2024-11-25T17:24:36.339Z","300",{"id":1992,"name":1993,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":1994,"hash":2015,"ext":19,"mime":20,"size":2016,"url":2017,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2018,"updatedAt":2018},231,"Anna Maria Mandalari.png",{"large":1995,"small":2000,"medium":2005,"thumbnail":2010},{"ext":19,"url":1996,"hash":1997,"mime":20,"name":1998,"path":16,"size":1999,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Anna_Maria_Mandalari_98de660c32.png","large_Anna_Maria_Mandalari_98de660c32","large_Anna Maria Mandalari.png",1590.57,{"ext":19,"url":2001,"hash":2002,"mime":20,"name":2003,"path":16,"size":2004,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Anna_Maria_Mandalari_98de660c32.png","small_Anna_Maria_Mandalari_98de660c32","small_Anna Maria Mandalari.png",421,{"ext":19,"url":2006,"hash":2007,"mime":20,"name":2008,"path":16,"size":2009,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Anna_Maria_Mandalari_98de660c32.png","medium_Anna_Maria_Mandalari_98de660c32","medium_Anna Maria Mandalari.png",920.41,{"ext":19,"url":2011,"hash":2012,"mime":20,"name":2013,"path":16,"size":2014,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Anna_Maria_Mandalari_98de660c32.png","thumbnail_Anna_Maria_Mandalari_98de660c32","thumbnail_Anna Maria Mandalari.png",45.81,"Anna_Maria_Mandalari_98de660c32",1164.48,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Anna_Maria_Mandalari_98de660c32.png","2024-11-25T17:24:22.763Z",[2020],{"id":2021,"url":2022,"platform":1739},682,"https://www.ucl.ac.uk/electronic-electrical-engineering/people/dr-anna-maria-mandalari","-180",{"id":1210,"name":2025,"committee":16,"position":16,"affiliation":1988,"email":16,"biography":44,"createdAt":2026,"updatedAt":2026,"url_path_id":2027,"contactPhoto":2028,"socialLinks":2056,"url_path":2060},"Francesca Boem","2024-11-25T17:25:20.969Z","301",{"id":2029,"name":2030,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":2031,"hash":2052,"ext":19,"mime":20,"size":2053,"url":2054,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2055,"updatedAt":2055},232,"Francesca Boem.png",{"large":2032,"small":2037,"medium":2042,"thumbnail":2047},{"ext":19,"url":2033,"hash":2034,"mime":20,"name":2035,"path":16,"size":2036,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Francesca_Boem_5005f9629b.png","large_Francesca_Boem_5005f9629b","large_Francesca Boem.png",1179.51,{"ext":19,"url":2038,"hash":2039,"mime":20,"name":2040,"path":16,"size":2041,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Francesca_Boem_5005f9629b.png","small_Francesca_Boem_5005f9629b","small_Francesca Boem.png",339,{"ext":19,"url":2043,"hash":2044,"mime":20,"name":2045,"path":16,"size":2046,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Francesca_Boem_5005f9629b.png","medium_Francesca_Boem_5005f9629b","medium_Francesca Boem.png",689.67,{"ext":19,"url":2048,"hash":2049,"mime":20,"name":2050,"path":16,"size":2051,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Francesca_Boem_5005f9629b.png","thumbnail_Francesca_Boem_5005f9629b","thumbnail_Francesca Boem.png",44.65,"Francesca_Boem_5005f9629b",605.16,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Francesca_Boem_5005f9629b.png","2024-11-25T17:25:10.268Z",[2057],{"id":2058,"url":2059,"platform":1739},683,"https://www.ucl.ac.uk/iccs/dr-francesca-boem","-181","-182",{"id":397,"session":2063},{"id":337,"title":2064,"teaser":2065,"body":2066,"createdAt":2067,"updatedAt":2068,"publishedAt":2069,"url_path_id":2070,"contacts":2071,"url_path":2149},"Neurotechnologies for Brain Interfacing: From Sensing and Manipulation of Brain Neurochemistry to Ultrasound-based Neuromodulation","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 8:30 - 12:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">This two-part tutorial delivered by two experts in the field of implantable neurotechnologies will familiarize the audience with the fundamentals of brain interfacing (i.e., sensing and modulation) in less explored, emerging modalities involving neurochemical signals and ultrasound waves.\u003C/p>","\u003Cp style=\"text-align:justify;\">New enabling technologies for real-time, high-fidelity sensing and manipulation of brain neurochemistry at microscopic scales can provide the framework for ultimately developing new neuromodulation devices that impose therapeutic neurochemical profiles or maintain optimal neurochemical levels in disease states via real-time feedback control. Part I of this collaborative tutorial will first cover the fundamentals of fast-scan cyclic voltammetry (FSCV) at a carbon-fiber microelectrode (CFM) as the preferred method for probing brain neurochemical dynamics with high temporal, spatial, and chemical resolution. This will be followed by a coverage of CMOS-integrated systems that combine FSCV-based recording, embedded signal processing, and electrical stimulation on a single chip for high-fidelity manipulation of brain neurochemistry. System-level solutions to handle stimulus artifacts along with chemometrics algorithms to resolve the target analyte from common interferents in vivo will be discussed. Two such systems realizing a dopamine temporal pattern generator and a dopamine “neurochemostat” will be showcased and validated in vivo in a rodent model. Part I of this tutorial will conclude with a discussion of new directions in neurochemical monitoring such as compressive sensing (CS) for real-time neurochemical data compression and high-fidelity reconstruction as well as circuit techniques for in situ analog background current subtraction. These directions are envisioned to pave the way toward high-channel-count sensing of brain neurochemistry.\u003C/p>\u003Cp style=\"text-align:justify;\">Part II of this collaborative tutorial will next present on ultrasound-based brain neuromodulation. This emerging field offers exciting potential for dynamically mapping and influencing complex brain circuits, deepening our understanding of brain function, and opening new possibilities for treating neurological disorders. Ultrasound neuromodulation extends the therapeutic benefits of brain stimulation by offering a noninvasive, precise approach to stimulate or suppress brain activity, holding promise for enhancing human perceptual, motor, and cognitive capabilities. The talk will first cover the fundamentals of ultrasound, exploring its various medical applications. This will be followed by a coverage of successful ultrasound neuromodulation experiments in both animal models and humans, including conventional setups and sonication patterns, as well as an overview of the debates around its effectiveness. A detailed protocol for performing transcranial ultrasound neuromodulation experiments in mice will be presented as a practical case study. Next, the talk will cover various technologies for ultrasound neuromodulation, such as single-element and array transducers, high-voltage electronics (both discrete and CMOS circuits), and the latest works in ultrasound imaging and machine learning algorithms to enhance precision. Part II of this tutorial will conclude with a discussion of new directions in ultrasound neuromodulation, including scalable phased arrays, closed-loop neuromodulation systems, and novel approaches like sonogenetics for improving targeting specificity.\u003C/p>","2024-11-25T17:11:17.092Z","2025-01-24T16:55:33.958Z","2024-11-25T17:11:20.026Z","292",[2072,2111],{"id":2073,"name":2074,"committee":16,"position":16,"affiliation":2075,"email":16,"biography":44,"createdAt":2076,"updatedAt":2076,"url_path_id":2077,"contactPhoto":2078,"socialLinks":2106,"url_path":2110},198,"Pedram Mohseni","Case Western Reserve University, USA","2024-11-25T17:08:55.378Z","290",{"id":2079,"name":2080,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":2081,"hash":2102,"ext":19,"mime":20,"size":2103,"url":2104,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2105,"updatedAt":2105},224,"Pedram Mohseni.png",{"large":2082,"small":2087,"medium":2092,"thumbnail":2097},{"ext":19,"url":2083,"hash":2084,"mime":20,"name":2085,"path":16,"size":2086,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Pedram_Mohseni_38a2e1f13b.png","large_Pedram_Mohseni_38a2e1f13b","large_Pedram Mohseni.png",1508,{"ext":19,"url":2088,"hash":2089,"mime":20,"name":2090,"path":16,"size":2091,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Pedram_Mohseni_38a2e1f13b.png","small_Pedram_Mohseni_38a2e1f13b","small_Pedram Mohseni.png",404.52,{"ext":19,"url":2093,"hash":2094,"mime":20,"name":2095,"path":16,"size":2096,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Pedram_Mohseni_38a2e1f13b.png","medium_Pedram_Mohseni_38a2e1f13b","medium_Pedram Mohseni.png",872.06,{"ext":19,"url":2098,"hash":2099,"mime":20,"name":2100,"path":16,"size":2101,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Pedram_Mohseni_38a2e1f13b.png","thumbnail_Pedram_Mohseni_38a2e1f13b","thumbnail_Pedram Mohseni.png",47.99,"Pedram_Mohseni_38a2e1f13b",989.07,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Pedram_Mohseni_38a2e1f13b.png","2024-11-25T17:08:40.160Z",[2107],{"id":2108,"url":2109,"platform":1739},675,"https://case.edu/nec/people/pedram-mohseni","-170",{"id":2112,"name":2113,"committee":16,"position":16,"affiliation":2114,"email":16,"biography":44,"createdAt":2115,"updatedAt":2115,"url_path_id":2116,"contactPhoto":2117,"socialLinks":2144,"url_path":2148},199,"Mehdi Kiani","Pennsylvania State University, USA","2024-11-25T17:09:46.736Z","291",{"id":642,"name":2118,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":2119,"hash":2140,"ext":19,"mime":20,"size":2141,"url":2142,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2143,"updatedAt":2143},"Mehdi Kiani.png",{"large":2120,"small":2125,"medium":2130,"thumbnail":2135},{"ext":19,"url":2121,"hash":2122,"mime":20,"name":2123,"path":16,"size":2124,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Mehdi_Kiani_5b98dd6ede.png","large_Mehdi_Kiani_5b98dd6ede","large_Mehdi Kiani.png",1188.31,{"ext":19,"url":2126,"hash":2127,"mime":20,"name":2128,"path":16,"size":2129,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Mehdi_Kiani_5b98dd6ede.png","small_Mehdi_Kiani_5b98dd6ede","small_Mehdi Kiani.png",344.98,{"ext":19,"url":2131,"hash":2132,"mime":20,"name":2133,"path":16,"size":2134,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Mehdi_Kiani_5b98dd6ede.png","medium_Mehdi_Kiani_5b98dd6ede","medium_Mehdi Kiani.png",705.4,{"ext":19,"url":2136,"hash":2137,"mime":20,"name":2138,"path":16,"size":2139,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Mehdi_Kiani_5b98dd6ede.png","thumbnail_Mehdi_Kiani_5b98dd6ede","thumbnail_Mehdi Kiani.png",43.05,"Mehdi_Kiani_5b98dd6ede",625.85,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Mehdi_Kiani_5b98dd6ede.png","2024-11-25T17:09:18.718Z",[2145],{"id":2146,"url":2147,"platform":1739},676,"https://www.eecs.psu.edu/departments/directory-detail-g.aspx?q=MUK42","-171","-172",{"id":147,"session":2151},{"id":275,"title":2152,"teaser":2153,"body":2154,"createdAt":2155,"updatedAt":2156,"publishedAt":2157,"url_path_id":2158,"contacts":2159,"url_path":2237},"Reflectionless RF Electronics: From System Implications to RF Passive/Active Circuit Design for Sustainable Developments","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 8:30 - 12:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">Nowadays, there is growing trend toward the design of sustainable circuits and systems, in which DC-power consumption needs to be reduced. RF isolators are commonly exploited in RF front-ends chains to prevent active stages to be damaged by the presence of RF signal-power reflections created by the passive stages (e.g., pre-select RF bandpass filters) in their out-of-band regions. Indeed, such RF signal-power reflections may induce RF amplifiers to operate in non-linear regime or to create additional undesired mixing products in frequency-conversion stages, which may result in the malfunctioning of the entire RF transceiver. However, this is done at the expense of higher size/volume and increased DC power consumption, respectively, as well as higher cost. A more-efficient solution that is gaining a huge research attention may be the exploitation of “absorptive” or “reflectionless” RF devices, where the out-of-band signal energy is dissipated inside the circuit instead of being reflected back to the source so that RF isolators are no longer needed.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">The purpose of this half-day Tutorial is to familiarize the audience with the emerging topic of reflectionless/absorptive RF components, which may result in considerably benefits for emerging RF front-end chains of new wireless systems (e.g., 5G and beyond) in terms of energy-efficiency/DC-power-saving, overall size/volume, and cost. After introducing the problematic of RF power reflections in RF front-end chains and classic solutions to circumvent them with their limitations, main strategies for the design of reflectionless RF circuits as new paradigm are described. This includes both mono-functional RF passive components (e.g., bandpass filters with static and frequency-adaptive behavior) as well as multi-functional RF devices in which several RF-analog-signal-processing actions are co-integrated together (e.g., filtering and power division or impedance transformation). Afterwards, absorptive active components, such as reflectionless power amplifiers, are presented. Experimental results of proof-of-concept demonstrators in various RF technologies (e.g., planar and MMIC) will be also shown.\u003C/p>","2024-11-25T16:53:39.485Z","2025-01-24T17:05:49.875Z","2024-11-25T16:53:41.958Z","281",[2160,2199],{"id":2161,"name":2162,"committee":16,"position":16,"affiliation":2163,"email":16,"biography":44,"createdAt":2164,"updatedAt":2164,"url_path_id":2165,"contactPhoto":2166,"socialLinks":2194,"url_path":2198},192,"Roberto Gómez-García","University of Alcalá, Spain","2024-11-25T16:54:58.689Z","282",{"id":2167,"name":2168,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":2169,"hash":2190,"ext":19,"mime":20,"size":2191,"url":2192,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2193,"updatedAt":2193},221,"Roberto Gómez García.png",{"large":2170,"small":2175,"medium":2180,"thumbnail":2185},{"ext":19,"url":2171,"hash":2172,"mime":20,"name":2173,"path":16,"size":2174,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Roberto_Gomez_Garcia_d48d1b9556.png","large_Roberto_Gomez_Garcia_d48d1b9556","large_Roberto Gómez García.png",1124.91,{"ext":19,"url":2176,"hash":2177,"mime":20,"name":2178,"path":16,"size":2179,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Roberto_Gomez_Garcia_d48d1b9556.png","small_Roberto_Gomez_Garcia_d48d1b9556","small_Roberto Gómez García.png",315.17,{"ext":19,"url":2181,"hash":2182,"mime":20,"name":2183,"path":16,"size":2184,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Roberto_Gomez_Garcia_d48d1b9556.png","medium_Roberto_Gomez_Garcia_d48d1b9556","medium_Roberto Gómez García.png",648.59,{"ext":19,"url":2186,"hash":2187,"mime":20,"name":2188,"path":16,"size":2189,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Roberto_Gomez_Garcia_d48d1b9556.png","thumbnail_Roberto_Gomez_Garcia_d48d1b9556","thumbnail_Roberto Gómez García.png",42.05,"Roberto_Gomez_Garcia_d48d1b9556",625.59,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Roberto_Gomez_Garcia_d48d1b9556.png","2024-11-25T16:54:55.149Z",[2195],{"id":2196,"url":2197,"platform":1739},669,"https://www.uah.es/en/estudios/profesor/Roberto-Gomez-Garcia/","-162",{"id":1268,"name":2200,"committee":16,"position":16,"affiliation":2201,"email":16,"biography":44,"createdAt":2202,"updatedAt":2202,"url_path_id":2203,"contactPhoto":2204,"socialLinks":2232,"url_path":2236},"Xi “Forest” Zhu","University of Technology Sydney, Australia","2024-11-25T16:55:46.179Z","283",{"id":2205,"name":2206,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":2207,"hash":2228,"ext":19,"mime":20,"size":2229,"url":2230,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2231,"updatedAt":2231},222,"Xi “Forest” Zhu.png",{"large":2208,"small":2213,"medium":2218,"thumbnail":2223},{"ext":19,"url":2209,"hash":2210,"mime":20,"name":2211,"path":16,"size":2212,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Xi_Forest_Zhu_5ab7c579ff.png","large_Xi_Forest_Zhu_5ab7c579ff","large_Xi “Forest” Zhu.png",1693.97,{"ext":19,"url":2214,"hash":2215,"mime":20,"name":2216,"path":16,"size":2217,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Xi_Forest_Zhu_5ab7c579ff.png","small_Xi_Forest_Zhu_5ab7c579ff","small_Xi “Forest” Zhu.png",486.62,{"ext":19,"url":2219,"hash":2220,"mime":20,"name":2221,"path":16,"size":2222,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Xi_Forest_Zhu_5ab7c579ff.png","medium_Xi_Forest_Zhu_5ab7c579ff","medium_Xi “Forest” Zhu.png",1013.82,{"ext":19,"url":2224,"hash":2225,"mime":20,"name":2226,"path":16,"size":2227,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Xi_Forest_Zhu_5ab7c579ff.png","thumbnail_Xi_Forest_Zhu_5ab7c579ff","thumbnail_Xi “Forest” Zhu.png",58.32,"Xi_Forest_Zhu_5ab7c579ff",1009.08,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Xi_Forest_Zhu_5ab7c579ff.png","2024-11-25T16:55:44.136Z",[2233],{"id":2234,"url":2235,"platform":1739},670,"https://profiles.uts.edu.au/Xi.Zhu","-163","-161",{"id":337,"session":2239},{"id":297,"title":2240,"teaser":2241,"body":44,"createdAt":2242,"updatedAt":2243,"publishedAt":2244,"url_path_id":2245,"contacts":2246,"url_path":2324},"Emerging ML-AI Techniques for  Analog EDA","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 13:30 - 17:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">In recent years, machine learning has been extensively applied for the modeling and optimization of integrated circuits. While learning techniques are seamlessly added to improve existing digital synthesis flows, the development of learning-based analog EDA faces more challenges and lags behind the digital counterpart as analog design is usually performed in a customized and manual approach.\u003C/p>\u003Cp style=\"text-align:justify;\">The objective of this tutorial is to provide an overview of recent progress in the application of machine learning to analog EDA. State-of-the-art learning and optimization techniques for the modeling and design of analog ICs are presented and discussed. Practical considerations, challenges, and opportunities of ML for analog EDA will be provided.\u003C/p>","2024-11-25T16:57:18.526Z","2025-01-24T17:06:21.118Z","2024-11-25T16:57:20.932Z","284",[2247,2286],{"id":2248,"name":2249,"committee":16,"position":16,"affiliation":2250,"email":16,"biography":44,"createdAt":2251,"updatedAt":2251,"url_path_id":2252,"contactPhoto":2253,"socialLinks":2281,"url_path":2285},194,"Ioannis Savidis","Drexel University, USA","2024-11-25T16:58:15.242Z","285",{"id":2254,"name":2255,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":2256,"hash":2277,"ext":19,"mime":20,"size":2278,"url":2279,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2280,"updatedAt":2280},223,"Ioannis Savidis.png",{"large":2257,"small":2262,"medium":2267,"thumbnail":2272},{"ext":19,"url":2258,"hash":2259,"mime":20,"name":2260,"path":16,"size":2261,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Ioannis_Savidis_400309d6e1.png","large_Ioannis_Savidis_400309d6e1","large_Ioannis Savidis.png",1382.82,{"ext":19,"url":2263,"hash":2264,"mime":20,"name":2265,"path":16,"size":2266,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Ioannis_Savidis_400309d6e1.png","small_Ioannis_Savidis_400309d6e1","small_Ioannis Savidis.png",357.49,{"ext":19,"url":2268,"hash":2269,"mime":20,"name":2270,"path":16,"size":2271,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Ioannis_Savidis_400309d6e1.png","medium_Ioannis_Savidis_400309d6e1","medium_Ioannis Savidis.png",786.29,{"ext":19,"url":2273,"hash":2274,"mime":20,"name":2275,"path":16,"size":2276,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Ioannis_Savidis_400309d6e1.png","thumbnail_Ioannis_Savidis_400309d6e1","thumbnail_Ioannis Savidis.png",39.79,"Ioannis_Savidis_400309d6e1",938.46,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Ioannis_Savidis_400309d6e1.png","2024-11-25T16:57:40.810Z",[2282],{"id":2283,"url":2284,"platform":1739},671,"https://drexel.edu/engineering/about/faculty-staff/S/savidis-ioannis/","-165",{"id":1300,"name":2287,"committee":16,"position":16,"affiliation":2250,"email":16,"biography":44,"createdAt":2288,"updatedAt":2289,"url_path_id":2290,"contactPhoto":2291,"socialLinks":2319,"url_path":2323},"Jeff Wu","2024-11-25T16:59:36.446Z","2024-12-16T19:21:39.881Z","286",{"id":805,"name":2292,"alternativeText":16,"caption":16,"width":2293,"height":2293,"formats":2294,"hash":2315,"ext":19,"mime":20,"size":2316,"url":2317,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2318,"updatedAt":2318},"Untitled design - 2024-12-16T141821.245.png",1080,{"large":2295,"small":2300,"medium":2305,"thumbnail":2310},{"ext":19,"url":2296,"hash":2297,"mime":20,"name":2298,"path":16,"size":2299,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Untitled_design_2024_12_16_T141821_245_686b9e41db.png","large_Untitled_design_2024_12_16_T141821_245_686b9e41db","large_Untitled design - 2024-12-16T141821.245.png",2068.02,{"ext":19,"url":2301,"hash":2302,"mime":20,"name":2303,"path":16,"size":2304,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Untitled_design_2024_12_16_T141821_245_686b9e41db.png","small_Untitled_design_2024_12_16_T141821_245_686b9e41db","small_Untitled design - 2024-12-16T141821.245.png",509.37,{"ext":19,"url":2306,"hash":2307,"mime":20,"name":2308,"path":16,"size":2309,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Untitled_design_2024_12_16_T141821_245_686b9e41db.png","medium_Untitled_design_2024_12_16_T141821_245_686b9e41db","medium_Untitled design - 2024-12-16T141821.245.png",1168.48,{"ext":19,"url":2311,"hash":2312,"mime":20,"name":2313,"path":16,"size":2314,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Untitled_design_2024_12_16_T141821_245_686b9e41db.png","thumbnail_Untitled_design_2024_12_16_T141821_245_686b9e41db","thumbnail_Untitled design - 2024-12-16T141821.245.png",49.79,"Untitled_design_2024_12_16_T141821_245_686b9e41db",735.04,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Untitled_design_2024_12_16_T141821_245_686b9e41db.png","2024-12-16T19:18:43.369Z",[2320],{"id":2321,"url":2322,"platform":1739},672,"https://research.coe.drexel.edu/ece/ice/team_member/jeff-wu/","-166","-164",{"id":357,"session":2326},{"id":254,"title":2327,"teaser":2328,"body":2329,"createdAt":2330,"updatedAt":2331,"publishedAt":2332,"url_path_id":2333,"contacts":2334,"url_path":2413},"Frequency Generation Techniques for Quantum Computing: DDFS and PLL Solutions","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 13:30 - 17:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">Direct Digital Frequency Synthesis (DDFS) was initially introduced by J. Tierney in 1971 [1]. This digital signal processing (DSP) technique represents a digital pattern in the analog domain based on a fixed clock period (frequency). Recently, DDFS has regained popularity due to its ability to exploit frequency/phase multiplexing/modulation for high-fidelity multi-Qubit controllers [2]. A digitally intensive DDFS-based controller with modulation capabilities can benefit from technology scaling, achieving fast and continuous phase switching. CMOS-based DDFS controllers have already demonstrated their effectiveness [3]. However, achieving low-power, high-speed DDFS remains challenging, especially for large-scale quantum computers operating at cryogenic temperatures (CT). Non-idealities caused by increased threshold voltage at CT, device mismatch, and PVT variations must be carefully addressed.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">This tutorial covers DDFS architectures, design methodologies for high-speed CMOS-based solutions, non-idealities in DDFS, and applications in multi-Qubit controllers for quantum computing. Additionally, we explore design challenges in implementing high-speed DDFS in Cryo-CMOS technology. The tutorial also introduces the architecture and circuit design for multi-Phase PLLs used in clock generation for cryo-CMOS [4]. We compare the pros and cons of PLLs versus DDFS-based solutions. The target audience includes designers interested in frequency generation techniques, high-speed data converters, and high-speed data paths/arithmetic circuits. Researchers exploring DDFS solutions for Quantum Computing and logic optimization/implementation on FPGA technology will find dedicated sessions within the tutorial program, including a demo on implementing a DDFS-based Qubit Controller on FPGA technology. Notably, relevant work [3] and [4] demonstrated the frequency, phase, and amplitude digital modulation capabilities of a CMOS-based DDFS running at 7 GS/s and a 648MHz multi-Phase PLL for 2.59GS/S Clock Generation in 180nm cryo-CMOS respectively.\u003C/p>","2024-11-25T16:52:21.319Z","2025-01-24T17:06:55.120Z","2024-11-25T16:52:23.319Z","280",[2335,2373],{"id":2336,"name":2337,"committee":16,"position":16,"affiliation":2338,"email":16,"biography":44,"createdAt":2339,"updatedAt":2340,"url_path_id":2341,"contactPhoto":2342,"socialLinks":2371,"url_path":2372},190,"Martinez Alonso Abdel","Tokyo Institute of Technology, Japan","2024-11-25T16:49:24.215Z","2024-12-02T13:23:05.343Z","278",{"id":2343,"name":2344,"alternativeText":16,"caption":16,"width":2345,"height":2345,"formats":2346,"hash":2367,"ext":19,"mime":20,"size":2368,"url":2369,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2370,"updatedAt":2370},238,"Martinez Alonso Abdel.png",1024,{"large":2347,"small":2352,"medium":2357,"thumbnail":2362},{"ext":19,"url":2348,"hash":2349,"mime":20,"name":2350,"path":16,"size":2351,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Martinez_Alonso_Abdel_7849ad2eba.png","large_Martinez_Alonso_Abdel_7849ad2eba","large_Martinez Alonso Abdel.png",1499.48,{"ext":19,"url":2353,"hash":2354,"mime":20,"name":2355,"path":16,"size":2356,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Martinez_Alonso_Abdel_7849ad2eba.png","small_Martinez_Alonso_Abdel_7849ad2eba","small_Martinez Alonso Abdel.png",442.19,{"ext":19,"url":2358,"hash":2359,"mime":20,"name":2360,"path":16,"size":2361,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Martinez_Alonso_Abdel_7849ad2eba.png","medium_Martinez_Alonso_Abdel_7849ad2eba","medium_Martinez Alonso Abdel.png",936.11,{"ext":19,"url":2363,"hash":2364,"mime":20,"name":2365,"path":16,"size":2366,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Martinez_Alonso_Abdel_7849ad2eba.png","thumbnail_Martinez_Alonso_Abdel_7849ad2eba","thumbnail_Martinez Alonso Abdel.png",57.1,"Martinez_Alonso_Abdel_7849ad2eba",382.57,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Martinez_Alonso_Abdel_7849ad2eba.png","2024-12-02T13:22:58.143Z",[],"-158",{"id":2374,"name":2375,"committee":16,"position":16,"affiliation":2376,"email":16,"biography":44,"createdAt":2377,"updatedAt":2378,"url_path_id":2379,"contactPhoto":2380,"socialLinks":2408,"url_path":2412},191,"Martinez Alonso Rodney","Ghent University, Belgium","2024-11-25T16:50:56.338Z","2024-12-02T13:23:34.379Z","279",{"id":2381,"name":2382,"alternativeText":16,"caption":16,"width":2345,"height":2345,"formats":2383,"hash":2404,"ext":19,"mime":20,"size":2405,"url":2406,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2407,"updatedAt":2407},237,"Martinez Alonso Rodney.png",{"large":2384,"small":2389,"medium":2394,"thumbnail":2399},{"ext":19,"url":2385,"hash":2386,"mime":20,"name":2387,"path":16,"size":2388,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Martinez_Alonso_Rodney_de8f135eaf.png","large_Martinez_Alonso_Rodney_de8f135eaf","large_Martinez Alonso Rodney.png",953.85,{"ext":19,"url":2390,"hash":2391,"mime":20,"name":2392,"path":16,"size":2393,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Martinez_Alonso_Rodney_de8f135eaf.png","small_Martinez_Alonso_Rodney_de8f135eaf","small_Martinez Alonso Rodney.png",285.43,{"ext":19,"url":2395,"hash":2396,"mime":20,"name":2397,"path":16,"size":2398,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Martinez_Alonso_Rodney_de8f135eaf.png","medium_Martinez_Alonso_Rodney_de8f135eaf","medium_Martinez Alonso Rodney.png",599.49,{"ext":19,"url":2400,"hash":2401,"mime":20,"name":2402,"path":16,"size":2403,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Martinez_Alonso_Rodney_de8f135eaf.png","thumbnail_Martinez_Alonso_Rodney_de8f135eaf","thumbnail_Martinez Alonso Rodney.png",35.66,"Martinez_Alonso_Rodney_de8f135eaf",218.65,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Martinez_Alonso_Rodney_de8f135eaf.png","2024-12-02T13:22:57.005Z",[2409],{"id":2410,"url":2411,"platform":42},668,"https://be.linkedin.com/in/rmartinezalonso","-159","-160",{"id":127,"session":2415},{"id":317,"title":2416,"teaser":2417,"body":2418,"createdAt":2419,"updatedAt":2420,"publishedAt":2421,"url_path_id":2422,"contacts":2423,"url_path":2503},"Large Language Models on a Tiny Power Budget","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 13:30 - 17:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">The brain is the perfect place to look for inspiration to develop more efficient neural networks. While the computational cost of deep learning exceeds millions of dollars to train large-scale models, our brains are somehow equipped to process an abundance of signals from our sensory periphery within a power budget of approximately 10-20 watts. How can we enable energy efficient language processing within the same energy budget as the brain?\u003C/p>","\u003Cp style=\"text-align:justify;\">This tutorial will provide a background on modern language models, the basics of transformers and self-attention, with an emphasis on why they have become so ridiculously expensive to train and run. State-space, or linear recurrent, language models are a possible solution and rely on far less memory. Much like the brain, these models encode information over time, and as such, share many similarities to brain-inspired spiking neural networks. We have even been able to use these time-varying models to completely eliminate Matrix-Multiply operations from large-scale neural networks. We will break down how this is possible, demonstrate how to train such models from scratch, use pre-trained models from HuggingFace, and will finally show how to accelerate key LLM blocks on Intel Labs’ Loihi 2 neuromorphic accelerator.\u003C/p>","2024-11-25T17:00:47.685Z","2025-01-24T17:07:07.363Z","2024-11-25T17:00:50.478Z","287",[2424,2463],{"id":1021,"name":2425,"committee":16,"position":16,"affiliation":2426,"email":16,"biography":44,"createdAt":2427,"updatedAt":2428,"url_path_id":2429,"contactPhoto":2430,"socialLinks":2458,"url_path":2462},"Jason K. Eshraghian","UC Santa Cruz, USA","2024-11-25T17:06:35.051Z","2024-11-26T13:09:03.119Z","288",{"id":2431,"name":2432,"alternativeText":16,"caption":16,"width":2293,"height":2293,"formats":2433,"hash":2454,"ext":19,"mime":20,"size":2455,"url":2456,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2457,"updatedAt":2457},235,"Jason Eshraghian.png",{"large":2434,"small":2439,"medium":2444,"thumbnail":2449},{"ext":19,"url":2435,"hash":2436,"mime":20,"name":2437,"path":16,"size":2438,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Jason_Eshraghian_16ea7f7ac8.png","large_Jason_Eshraghian_16ea7f7ac8","large_Jason Eshraghian.png",2263.1,{"ext":19,"url":2440,"hash":2441,"mime":20,"name":2442,"path":16,"size":2443,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Jason_Eshraghian_16ea7f7ac8.png","small_Jason_Eshraghian_16ea7f7ac8","small_Jason Eshraghian.png",592.64,{"ext":19,"url":2445,"hash":2446,"mime":20,"name":2447,"path":16,"size":2448,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Jason_Eshraghian_16ea7f7ac8.png","medium_Jason_Eshraghian_16ea7f7ac8","medium_Jason Eshraghian.png",1308.25,{"ext":19,"url":2450,"hash":2451,"mime":20,"name":2452,"path":16,"size":2453,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Jason_Eshraghian_16ea7f7ac8.png","thumbnail_Jason_Eshraghian_16ea7f7ac8","thumbnail_Jason Eshraghian.png",65.07,"Jason_Eshraghian_16ea7f7ac8",544.15,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Jason_Eshraghian_16ea7f7ac8.png","2024-11-26T13:08:31.771Z",[2459],{"id":2460,"url":2461,"platform":1739},673,"https://campusdirectory.ucsc.edu/cd_detail?uid=jeshragh","-168",{"id":2464,"name":2465,"committee":16,"position":16,"affiliation":2466,"email":16,"biography":44,"createdAt":2467,"updatedAt":2468,"url_path_id":2469,"contactPhoto":2470,"socialLinks":2499,"url_path":2502},197,"Steven Abreu","Intel Labs; University of Groningen, The Netherlands","2024-11-25T17:07:32.533Z","2024-11-26T13:07:44.614Z","289",{"id":1512,"name":2471,"alternativeText":16,"caption":16,"width":2472,"height":2472,"formats":2473,"hash":2495,"ext":2475,"mime":784,"size":2496,"url":2497,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2498,"updatedAt":2498},"steven-abreu.JPG",4000,{"large":2474,"small":2480,"medium":2485,"thumbnail":2490},{"ext":2475,"url":2476,"hash":2477,"mime":784,"name":2478,"path":16,"size":2479,"width":787,"height":787},".JPG","https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_steven_abreu_3533c39194.JPG","large_steven_abreu_3533c39194","large_steven-abreu.JPG",132.39,{"ext":2475,"url":2481,"hash":2482,"mime":784,"name":2483,"path":16,"size":2484,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_steven_abreu_3533c39194.JPG","small_steven_abreu_3533c39194","small_steven-abreu.JPG",40.92,{"ext":2475,"url":2486,"hash":2487,"mime":784,"name":2488,"path":16,"size":2489,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_steven_abreu_3533c39194.JPG","medium_steven_abreu_3533c39194","medium_steven-abreu.JPG",79.84,{"ext":2475,"url":2491,"hash":2492,"mime":784,"name":2493,"path":16,"size":2494,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_steven_abreu_3533c39194.JPG","thumbnail_steven_abreu_3533c39194","thumbnail_steven-abreu.JPG",6.11,"steven_abreu_3533c39194",1863.87,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/steven_abreu_3533c39194.JPG","2024-11-26T13:07:41.531Z",[2500],{"id":895,"url":2501,"platform":1739},"https://stevenabreu7.github.io/","-169","-167",{"id":418,"session":2505},{"id":418,"title":2506,"teaser":2507,"body":44,"createdAt":2508,"updatedAt":2509,"publishedAt":2510,"url_path_id":2511,"contacts":2512,"url_path":2592},"Next-Generation Connectivity for Scaling AI","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 13:30 - 17:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">As AI scales, connectivity has proven to be a key bottleneck. Thus, AI software and hardware developers must be familiar with the relevant communication technologies and trends. Continued advances in CMOS, advanced packaging, and chiples for AI computing are increasing bandwidth demands over all parts of the network. Meanwhile, power is tightly constrained, and new requirements for ultra-low-latency links have emerged. This tutorial affords the reader with background on the wide variety of key connectivity technologies being brought to bear on these emergent challenges. This includes the challenges and opportunities for electrical cable and optical fibre links, alternative forms of modulation and error correction.\u003C/p>","2024-11-25T17:29:36.594Z","2025-01-24T17:07:17.823Z","2024-11-25T17:29:38.851Z","305",[2513,2553],{"id":2514,"name":2515,"committee":16,"position":16,"affiliation":2516,"email":16,"biography":44,"createdAt":2517,"updatedAt":2518,"url_path_id":2519,"contactPhoto":2520,"socialLinks":2548,"url_path":2552},207,"Tony Chan Carusone","Alphawave Semi, Canada","2024-11-25T17:27:18.455Z","2024-11-25T17:38:44.843Z","303",{"id":2521,"name":2522,"alternativeText":16,"caption":16,"width":1669,"height":1669,"formats":2523,"hash":2544,"ext":19,"mime":20,"size":2545,"url":2546,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2547,"updatedAt":2547},233,"Tony Chan Carusone.png",{"large":2524,"small":2529,"medium":2534,"thumbnail":2539},{"ext":19,"url":2525,"hash":2526,"mime":20,"name":2527,"path":16,"size":2528,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Tony_Chan_Carusone_ca45835038.png","large_Tony_Chan_Carusone_ca45835038","large_Tony Chan Carusone.png",1188.12,{"ext":19,"url":2530,"hash":2531,"mime":20,"name":2532,"path":16,"size":2533,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Tony_Chan_Carusone_ca45835038.png","small_Tony_Chan_Carusone_ca45835038","small_Tony Chan Carusone.png",324.88,{"ext":19,"url":2535,"hash":2536,"mime":20,"name":2537,"path":16,"size":2538,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Tony_Chan_Carusone_ca45835038.png","medium_Tony_Chan_Carusone_ca45835038","medium_Tony Chan Carusone.png",695.06,{"ext":19,"url":2540,"hash":2541,"mime":20,"name":2542,"path":16,"size":2543,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Tony_Chan_Carusone_ca45835038.png","thumbnail_Tony_Chan_Carusone_ca45835038","thumbnail_Tony Chan Carusone.png",38.63,"Tony_Chan_Carusone_ca45835038",790.94,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Tony_Chan_Carusone_ca45835038.png","2024-11-25T17:38:42.609Z",[2549],{"id":2550,"url":2551,"platform":42},684,"https://ca.linkedin.com/in/tony-chan-carusone-2799a38","-183",{"id":750,"name":2554,"committee":16,"position":16,"affiliation":2555,"email":16,"biography":44,"createdAt":2556,"updatedAt":2557,"url_path_id":2558,"contactPhoto":2559,"socialLinks":2587,"url_path":2591},"Halil Cirit","Meta, USA","2024-11-25T17:28:52.814Z","2024-12-05T00:46:47.533Z","304",{"id":2560,"name":2561,"alternativeText":16,"caption":16,"width":2293,"height":2293,"formats":2562,"hash":2583,"ext":19,"mime":20,"size":2584,"url":2585,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2586,"updatedAt":2586},243,"Halil Cirit.png",{"large":2563,"small":2568,"medium":2573,"thumbnail":2578},{"ext":19,"url":2564,"hash":2565,"mime":20,"name":2566,"path":16,"size":2567,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Halil_Cirit_ad3804efaa.png","large_Halil_Cirit_ad3804efaa","large_Halil Cirit.png",1593.07,{"ext":19,"url":2569,"hash":2570,"mime":20,"name":2571,"path":16,"size":2572,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Halil_Cirit_ad3804efaa.png","small_Halil_Cirit_ad3804efaa","small_Halil Cirit.png",418.26,{"ext":19,"url":2574,"hash":2575,"mime":20,"name":2576,"path":16,"size":2577,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Halil_Cirit_ad3804efaa.png","medium_Halil_Cirit_ad3804efaa","medium_Halil Cirit.png",923.26,{"ext":19,"url":2579,"hash":2580,"mime":20,"name":2581,"path":16,"size":2582,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Halil_Cirit_ad3804efaa.png","thumbnail_Halil_Cirit_ad3804efaa","thumbnail_Halil Cirit.png",49.5,"Halil_Cirit_ad3804efaa",450.33,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Halil_Cirit_ad3804efaa.png","2024-12-05T00:46:42.128Z",[2588],{"id":2589,"url":2590,"platform":42},685,"https://www.linkedin.com/in/halil-cirit-3a12333/","-184","-185",{"id":650,"session":2594},{"id":147,"title":2595,"teaser":2596,"body":2597,"createdAt":2598,"updatedAt":2599,"publishedAt":2600,"url_path_id":2601,"contacts":2602,"url_path":2676},"Non-invasive biosignal acquisition hardware design: a hands-on guide","\u003Ch4 class=\"h4\" style=\"margin-left:0px;text-align:justify;\">\u003Cspan style=\"color:rgb(138,36,50);\">\u003Cstrong>Sunday | May 25, 2025 | 13:30 - 17:00\u003C/strong>\u003C/span>\u003C/h4>\u003Cp style=\"text-align:justify;\">The promising future of fully immersive virtual reality (VR) platforms is heavily tied to the design and development of reliable and seamless human machine interfaces (HMIs). HMIs involve a hardware module that senses the intended activity and a software module that classifies it. This classifier can be readily implemented using machine learning algorithms but there are various options available for the sensing module. An intuitive option for a seamless interaction with the computer is to detect the biosignals, which are essentially by-products of a given human activity. The added value of this modality, for example in contrast to computer vision, is that it can be deployed using a collection of wearable devices for mobile solutions. For example, eye gaze direction can be detected using electrooculograms (EOG) and hand gestures can be detected using electromyograms (EMG) from the forearm. Apart from detecting interactions, other forms of biosignal can be utilised to convey other attributes associated with the user (e.g., electrocardiogram (ECG) or electroencephalogram (EEG)). Beyond VR, biosignal-based HMIs have a wider range of applications in various assistive technologies.&nbsp;\u003C/p>","\u003Cp style=\"text-align:justify;\">The Biosignal acquisition hardware is composed of multiple functional blocks (e.g., electrodes, DC suppression, amplification, common mode rejection, analogue signal conditioning and ADCs). There are multiple design choices for each block and one may use a different number of input channels depending on the design priorities and application. The design choices in one block may impact the available options for the subsequent functional units. Particularly, at the prototyping stage, when it is needed to explore different design options, having a commanding understanding of the available design options and their inter-relations is vital.\u003C/p>\u003Cp style=\"text-align:justify;\">In this tutorial, we aim to introduce a specification-orientated guide on designing biosignal acquisition hardware, for both of rapid prototyping and integrated circuit implementation. In each case, we introduce the cost-benefit ratio associated with each design option while considering the scenarios in which they may be implemented. Attendees will also have the opportunity to experiment with some of the design options using circuit simulation files which will be made available during the tutorial for a more hands-on experience.\u003C/p>","2024-11-25T17:38:08.158Z","2025-01-24T17:07:28.459Z","2024-11-25T17:38:10.938Z","312",[2603,2642],{"id":2604,"name":2605,"committee":16,"position":16,"affiliation":1988,"email":16,"biography":44,"createdAt":2606,"updatedAt":2607,"url_path_id":2608,"contactPhoto":2609,"socialLinks":2637,"url_path":2641},212,"Arsam Shiraz","2024-11-25T17:35:11.408Z","2024-12-02T13:43:37.281Z","310",{"id":2610,"name":2611,"alternativeText":16,"caption":16,"width":2293,"height":2293,"formats":2612,"hash":2633,"ext":19,"mime":20,"size":2634,"url":2635,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2636,"updatedAt":2636},242,"Arsam Shiraz.png",{"large":2613,"small":2618,"medium":2623,"thumbnail":2628},{"ext":19,"url":2614,"hash":2615,"mime":20,"name":2616,"path":16,"size":2617,"width":787,"height":787},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/large_Arsam_Shiraz_1e38efa71a.png","large_Arsam_Shiraz_1e38efa71a","large_Arsam Shiraz.png",1483.53,{"ext":19,"url":2619,"hash":2620,"mime":20,"name":2621,"path":16,"size":2622,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Arsam_Shiraz_1e38efa71a.png","small_Arsam_Shiraz_1e38efa71a","small_Arsam Shiraz.png",409.64,{"ext":19,"url":2624,"hash":2625,"mime":20,"name":2626,"path":16,"size":2627,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Arsam_Shiraz_1e38efa71a.png","medium_Arsam_Shiraz_1e38efa71a","medium_Arsam Shiraz.png",885.46,{"ext":19,"url":2629,"hash":2630,"mime":20,"name":2631,"path":16,"size":2632,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Arsam_Shiraz_1e38efa71a.png","thumbnail_Arsam_Shiraz_1e38efa71a","thumbnail_Arsam Shiraz.png",47.47,"Arsam_Shiraz_1e38efa71a",443.32,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Arsam_Shiraz_1e38efa71a.png","2024-12-02T13:43:34.482Z",[2638],{"id":2639,"url":2640,"platform":1739},689,"https://www.ucl.ac.uk/~zceed34/","-190",{"id":2643,"name":2644,"committee":16,"position":16,"affiliation":1988,"email":16,"biography":44,"createdAt":2645,"updatedAt":2645,"url_path_id":2646,"contactPhoto":2647,"socialLinks":2671,"url_path":2675},213,"Dai Jiang","2024-11-25T17:36:41.167Z","311",{"id":2648,"name":2649,"alternativeText":16,"caption":16,"width":2650,"height":2650,"formats":2651,"hash":2667,"ext":781,"mime":784,"size":2668,"url":2669,"previewUrl":16,"provider":23,"provider_metadata":16,"createdAt":2670,"updatedAt":2670},109,"Dai Jiang.jpg",800,{"small":2652,"medium":2657,"thumbnail":2662},{"ext":781,"url":2653,"hash":2654,"mime":784,"name":2655,"path":16,"size":2656,"width":736,"height":736},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/small_Dai_Jiang_7b35ec84a1.jpg","small_Dai_Jiang_7b35ec84a1","small_Dai Jiang.jpg",28.89,{"ext":781,"url":2658,"hash":2659,"mime":784,"name":2660,"path":16,"size":2661,"width":743,"height":743},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/medium_Dai_Jiang_7b35ec84a1.jpg","medium_Dai_Jiang_7b35ec84a1","medium_Dai Jiang.jpg",72.98,{"ext":781,"url":2663,"hash":2664,"mime":784,"name":2665,"path":16,"size":2666,"width":751,"height":751},"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/thumbnail_Dai_Jiang_7b35ec84a1.jpg","thumbnail_Dai_Jiang_7b35ec84a1","thumbnail_Dai Jiang.jpg",3.8,"Dai_Jiang_7b35ec84a1",88.22,"https://confcats-siteplex.s3.us-east-1.amazonaws.com/iscas25/Dai_Jiang_7b35ec84a1.jpg","2024-04-09T19:16:56.988Z",[2672],{"id":2673,"url":2674,"platform":1739},690,"https://profiles.ucl.ac.uk/5102","-191","-192",{"data":2678,"meta":2679},{"id":259,"heading":253,"createdAt":260,"updatedAt":261,"publishedAt":262,"url_path_id":263,"url_path":266,"contentType":78},{},1778852848907]