BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20260308T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20261101T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260915T015500Z UID:1420FF1C-7C1C-495B-98F0-4AE62F83EEA4 DTSTART;TZID=America/New_York:20260924T103000 DTEND;TZID=America/New_York:20260925T123000 DESCRIPTION:Artificial intelligence has arrived in the classroom faster tha n most curricula can absorb it. Students draft code\, derive proofs\, and summarize literature with tools that did not exist when their degree progr ams were designed — and the people teaching them are rewriting what "lea rning it yourself" is supposed to mean.\n\nJoin IEEE ENCS Young Profession als for a two-hour conversation with two educators watching this shift fro m very different vantage points: an IEEE Life Fellow who spent four decade s building mission-critical systems before moving into undergraduate engin eering education\, and a biomedical imaging researcher training graduate s cientists in a field AI is actively reshaping.\n\nWhat we'll cover:\n\n- W hat still has to be learned the hard way — the foundations that remain n on-negotiable when a model can generate a plausible answer in seconds\n- R igor and assessment — how educators are rethinking evaluation\, and what academic integrity means now\n- Research training in an AI-heavy field — how graduate mentorship changes when the methods themselves are moving \n- Industry's side of the bargain — what employers should expect from g raduates over the next few years\, and where the gap is widening\n- Practi cal guidance — for students choosing what to invest in\, and for early-c areer professionals who never stopped learning\n\nOpen to IEEE members and non-members alike. Students\, faculty\, and practicing engineers all welc ome. Bring your questions — the second half is built around them.\n\nSpe akers\n\nDr. Kim Fowler — Professor of Engineering\, Campbell University \n\nKim Fowler has spent over 40 years in the design\, development\, and p roject management of medical\, military\, and satellite equipment\, with a focus on the rigorous development of mission-critical embedded systems. H e co-founded Stimsoft\, a medical products company\, in 1998 and sold it f ive years later. He is a Life Fellow of IEEE\, a past President of the IEE E Instrumentation & Measurement Society (2010–2011)\, and a former Edito r-in-Chief of IEEE Instrumentation & Measurement Magazine. He currently se rves on the Editorial Advisory Board of IEEE Systems Journal and is an adj unct professor in the Johns Hopkins University Engineering Professional Pr ogram. He has authored four textbooks and holds 18 patents granted\, pendi ng\, or disclosed. He earned his Ph.D. from Kansas State University.\n\nDr . Sajan Goud Lingala — Associate Professor\, Roy J. Carver Department of Biomedical Engineering and Department of Radiology\, University of Iowa\n \nSajan Goud Lingala is Principal Investigator of the Laboratory of Quanti tative and Dynamic Magnetic Resonance Imaging at the University of Iowa\, where his group develops imaging technologies for quantitative and dynamic MRI. He holds a Ph.D. in Biomedical Engineering from the University of Io wa\, an M.Tech. in Biomedical Engineering from the Indian Institute of Tec hnology\, and a B.E. in Biomedical Engineering from Osmania University. He teaches and mentors graduate researchers across engineering and radiology .\n\nVirtual: https://events.vtools.ieee.org/m/577724 LOCATION:Virtual: https://events.vtools.ieee.org/m/577724 ORGANIZER:prakhar.lohiya@ieee.org SEQUENCE:13 SUMMARY:Future of Education - The Shifting Paradigm URL;VALUE=URI:https://events.vtools.ieee.org/m/577724 X-ALT-DESC:Description: <br /><p dir="ltr">Artificial intelligence has arri ved in the classroom faster than most curricula can absorb it. Students dr aft code\, derive proofs\, and summarize literature with tools that did no t exist when their degree programs were designed &mdash\; and the people t eaching them are rewriting what "learning it yourself" is supposed to mean .</p>\n<p dir="ltr">Join IEEE ENCS Young Professionals for a two-hour conv ersation with two educators watching this shift from very different vantag e points: an IEEE Life Fellow who spent four decades building mission-crit ical systems before moving into undergraduate engineering education\, and a biomedical imaging researcher training graduate scientists in a field AI is actively reshaping.</p>\n<p dir="ltr"><strong>What we'll cover:</stron g></p>\n<ul dir="ltr">\n<li><strong>What still has to be learned the hard way</strong> &mdash\; the foundations that remain non-negotiable when a mo del can generate a plausible answer in seconds</li>\n<li><strong>Rigor and assessment</strong> &mdash\; how educators are rethinking evaluation\, an d what academic integrity means now</li>\n<li><strong>Research training in an AI-heavy field</strong> &mdash\; how graduate mentorship changes when the methods themselves are moving</li>\n<li><strong>Industry's side of the bargain</strong> &mdash\; what employers should expect from graduates ove r the next few years\, and where the gap is widening</li>\n<li><strong>Pra ctical guidance</strong> &mdash\; for students choosing what to invest in\ , and for early-career professionals who never stopped learning</li>\n</ul >\n<p>&nbsp\;</p>\n<p>Open to IEEE members and non-members alike. Students \, faculty\, and practicing engineers all welcome. Bring your questions &m dash\; the second half is built around them.</p>\n<p>&nbsp\;</p>\n<h3 dir= "ltr">Speakers</h3>\n<p dir="ltr"><strong>Dr. Kim Fowler</strong> &mdash\; Professor of Engineering\, Campbell University</p>\n<p dir="ltr">Kim Fowl er has spent over 40 years in the design\, development\, and project manag ement of medical\, military\, and satellite equipment\, with a focus on th e rigorous development of mission-critical embedded systems. He co-founded Stimsoft\, a medical products company\, in 1998 and sold it five years la ter. He is a Life Fellow of IEEE\, a past President of the IEEE Instrument ation &amp\; Measurement Society (2010&ndash\;2011)\, and a former Editor- in-Chief of <em>IEEE Instrumentation &amp\; Measurement Magazine</em>. He currently serves on the Editorial Advisory Board of <em>IEEE Systems Journ al</em> and is an adjunct professor in the Johns Hopkins University Engine ering Professional Program. He has authored four textbooks and holds 18 pa tents granted\, pending\, or disclosed. He earned his Ph.D. from Kansas St ate University.</p>\n<p dir="ltr"><strong>Dr. Sajan Goud Lingala</strong> &mdash\; Associate Professor\, Roy J. Carver Department of Biomedical Engi neering and Department of Radiology\, University of Iowa</p>\n<p dir="ltr" >Sajan Goud Lingala is Principal Investigator of the Laboratory of Quantit ative and Dynamic Magnetic Resonance Imaging at the University of Iowa\, w here his group develops imaging technologies for quantitative and dynamic MRI. He holds a Ph.D. in Biomedical Engineering from the University of Iow a\, an M.Tech. in Biomedical Engineering from the Indian Institute of Tech nology\, and a B.E. in Biomedical Engineering from Osmania University. He teaches and mentors graduate researchers across engineering and radiology. </p> END:VEVENT END:VCALENDAR