BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Toronto BEGIN:DAYLIGHT DTSTART:20220313T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20211107T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20220121T151811Z UID:889B5016-A44B-4294-A4FD-D1626341B7D4 DTSTART;TZID=America/Toronto:20211208T130000 DTEND;TZID=America/Toronto:20211208T140000 DESCRIPTION:Title: Spins for a New Computing Era\n\nAbstract: Cognitive com puting will redefine everyday life\, changing how individuals perform thei r jobs\, interact with others\, and make decisions. Nonvolatile memories h old the key to solve the overwhelming energy demand for such computing and ensure intelligent systems for sustainable future. Magnetic memory\, with electron spin as the information token\, is one of the most promising non volatile technologies for next generation computers.\n\nI will present a c omplete path – from spintronic materials to device\, for future computin g era. The experimental demonstration of spin orbit torque induced magneti c devices will be shown as the building blocks (i.e.\, synapses and neuron s) for in-memory computing. The synaptic device shows the most important f unctionality – linear output resistance\, and the neurons provide progra mmable nonlinearity\, unlike any other non-volatile memories. The scaled d evices can potentially achieve energy consumption comparable to biological synapses\, which is 1000× lower than any other technologies. Later\, the study of alternate magnetic materials will be shown to identify more ener gy-efficient and dynamically robust superior materials for sub-nanosecond devices for non-von Neumann computation. The devices and materials develop ed in this work extend in applications beyond the examples provided here\, introducing versatile platforms for using electron spin in other microele ctronic applications like communication and quantum computers.\n\nSpeaker bio: Saima Siddiqui is a DRIVE postdoctoral fellow in the Department of Ma terials Science and Engineering at University of Illinois at Urbana-Champa ign. Prior to that\, she was a postdoctoral researcher in Materials Scienc e Division at Argonne National Laboratory. Her research interests lie in q uantum materials and nanoscale devices with unique functionalities by comb ining high quality materials growth\, innovative fabrication\, integration \, and characterization techniques.\n\nSaima completed her Ph.D. in Electr ical Engineering and Computer Science at Massachusetts Institute of Techno logy in 2018 working on spintronic devices for emerging frontiers in compu ting. She received her Bachelor of Science in Electrical and Electronic En gineering at Bangladesh University of Engineering and Technology. Saima is a recipient of the Illinois Distinguished Postdoctoral Fellowship and 202 1 IEEE Chicago Early Career Award in Magnetics and has been selected as an EECS Rising Star in 2019.\n\nCo-sponsored by: Waterloo Emerging Integrate d System Group\, University of Waterloo\n\nSpeaker(s): Dr. Saima Siddiqui\ , \n\nWaterloo\, Ontario\, Canada\, Virtual: https://events.vtools.ieee.or g/m/291921 LOCATION:Waterloo\, Ontario\, Canada\, Virtual: https://events.vtools.ieee. org/m/291921 ORGANIZER:lan.wei@uwaterloo.ca SEQUENCE:2 SUMMARY:Women-in-Engineering Seminar Series - Seminar 2 URL;VALUE=URI:https://events.vtools.ieee.org/m/291921 X-ALT-DESC:Description: <br /><p><strong>Title: Spins for a New Computing E ra</strong></p>\n<p><strong>Abstract: </strong>Cognitive computing will re define everyday life\, changing how individuals perform their jobs\, inter act with others\, and make decisions. Nonvolatile memories hold the key to solve the overwhelming energy demand for such computing and ensure intell igent systems for sustainable future. Magnetic memory\, with electron spin as the information token\, is one of the most promising nonvolatile techn ologies for next generation computers.&nbsp\;&nbsp\;</p>\n<p>I will presen t a complete path &ndash\; from spintronic materials to device\, for futur e computing era. The experimental demonstration of spin orbit torque induc ed magnetic devices will be shown as the building blocks (i.e.\, synapses and neurons) for in-memory computing. The synaptic device shows the most i mportant functionality &ndash\; linear output resistance\, and the neurons provide programmable nonlinearity\, unlike any other non-volatile memorie s. The scaled devices can potentially achieve energy consumption comparabl e to biological synapses\, which is 1000&times\; lower than any other tech nologies. Later\, the study of alternate magnetic materials will be shown to identify more energy-efficient and dynamically robust superior material s for sub-nanosecond devices for non-von Neumann computation. The devices and materials developed in this work extend in applications beyond the exa mples provided here\, introducing versatile platforms for using electron s pin in other microelectronic applications like communication and quantum c omputers.&nbsp\;</p>\n<p><strong>Speaker bio</strong>: Saima Siddiqui is a DRIVE postdoctoral fellow in the Department of Materials Science and Engi neering at University of Illinois at Urbana-Champaign. Prior to that\, she was a postdoctoral researcher in Materials Science Division at Argonne Na tional Laboratory. Her research interests lie in quantum materials and nan oscale devices with unique functionalities by combining high quality mater ials growth\, innovative fabrication\, integration\, and characterization techniques.&nbsp\;</p>\n<p>Saima completed her Ph.D. in Electrical Enginee ring and Computer Science at Massachusetts Institute of Technology in 2018 working on spintronic devices for emerging frontiers in computing. She re ceived her Bachelor of Science in Electrical and Electronic Engineering at Bangladesh University of Engineering and Technology. Saima is a recipient of the Illinois Distinguished Postdoctoral Fellowship and 2021 IEEE Chica go Early Career Award in Magnetics and has been selected as an EECS Rising Star in 2019.</p> END:VEVENT END:VCALENDAR