Future of Education – The Shifting Paradigm
Artificial intelligence has arrived in the classroom faster than most curricula can absorb it. Students draft code, derive proofs, and summarize literature with tools that did not exist when their degree programs were designed — and the people teaching them are rewriting what "learning it yourself" is supposed to mean. Join IEEE ENCS Young Professionals for a two-hour conversation with two educators watching this shift from very different vantage points: an IEEE Life Fellow who spent four decades building mission-critical systems before moving into undergraduate engineering education, and a biomedical imaging researcher training graduate scientists in a field AI is actively reshaping. What we'll cover: - What still has to be learned the hard way — the foundations that remain non-negotiable when a model can generate a plausible answer in seconds - Rigor and assessment — how educators are rethinking evaluation, and what academic integrity means now - Research training in an AI-heavy field — how graduate mentorship changes when the methods themselves are moving - Industry's side of the bargain — what employers should expect from graduates over the next few years, and where the gap is widening - Practical guidance — for students choosing what to invest in, and for early-career professionals who never stopped learning Open to IEEE members and non-members alike. Students, faculty, and practicing engineers all welcome. Bring your questions — the second half is built around them. Speakers Dr. Kim Fowler — Professor of Engineering, Campbell University Kim Fowler has spent over 40 years in the design, development, and project management of medical, military, and satellite equipment, with a focus on the rigorous development of mission-critical embedded systems. He co-founded Stimsoft, a medical products company, in 1998 and sold it five years later. He is a Life Fellow of IEEE, a past President of the IEEE Instrumentation & Measurement Society (2010–2011), and a former Editor-in-Chief of IEEE Instrumentation & Measurement Magazine. He currently serves on the Editorial Advisory Board of IEEE Systems Journal and is an adjunct professor in the Johns Hopkins University Engineering Professional Program. He has authored four textbooks and holds 18 patents granted, pending, or disclosed. He earned his Ph.D. from Kansas State University. Dr. Sajan Goud Lingala — Associate Professor, Roy J. Carver Department of Biomedical Engineering and Department of Radiology, University of Iowa Sajan Goud Lingala is Principal Investigator of the Laboratory of Quantitative 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 Iowa, an M.Tech. in Biomedical Engineering from the Indian Institute of Technology, and a B.E. in Biomedical Engineering from Osmania University. He teaches and mentors graduate researchers across engineering and radiology. Virtual: https://events.vtools.ieee.org/m/577724